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Repository: hrbrmstr/streamgraph
Branch: master
Commit: 76f7173ec89d
Files: 59
Total size: 4.2 MB
Directory structure:
gitextract_5lo9g5bj/
├── .Rbuildignore
├── .gitignore
├── .travis.yml
├── CONDUCT.md
├── DESCRIPTION
├── LICENSE
├── NAMESPACE
├── R/
│ ├── annotate.r
│ ├── color.r
│ ├── legend.r
│ ├── marker.r
│ ├── phantom.R
│ ├── sg_axis_x.r
│ ├── sg_axis_y.r
│ ├── shiny.r
│ ├── streamgraph-package.R
│ ├── streamgraph.R
│ └── utils.R
├── README.Rmd
├── README.html
├── README.md
├── inst/
│ └── htmlwidgets/
│ ├── lib/
│ │ ├── colorbrewer/
│ │ │ ├── LICENSE.txt
│ │ │ ├── colorbrewer.css
│ │ │ └── colorbrewer.js
│ │ ├── d3/
│ │ │ ├── CONTRIBUTING.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── bower.json
│ │ │ └── d3.js
│ │ └── streamgraph/
│ │ └── streamgraph.css
│ ├── streamgraph.js
│ └── streamgraph.yaml
├── man/
│ ├── renderStreamgraph.Rd
│ ├── sg_add_marker.Rd
│ ├── sg_annotate.Rd
│ ├── sg_axis_x.Rd
│ ├── sg_axis_y.Rd
│ ├── sg_colors.Rd
│ ├── sg_fill_brewer.Rd
│ ├── sg_fill_manual.Rd
│ ├── sg_fill_tableau.Rd
│ ├── sg_legend.Rd
│ ├── sg_title.Rd
│ ├── streamgraph-exports.Rd
│ ├── streamgraph-package.Rd
│ ├── streamgraph.Rd
│ ├── streamgraphOutput.Rd
│ └── widgetThumbnail.Rd
├── streamgraph.Rmd
├── streamgraph.Rproj
├── streamgraph.html
├── streamgraph.md
├── tests/
│ ├── test-all.R
│ └── testthat/
│ ├── ccasn.R
│ ├── sg.R
│ ├── space.R
│ ├── space.html
│ └── test-streamgraph.R
└── vignettes/
└── introduction.Rmd
================================================
FILE CONTENTS
================================================
================================================
FILE: .Rbuildignore
================================================
^.*\.Rproj$
^\.Rproj\.user$
^\.travis\.yml$
README\.md
README\.Rmd
streamgraph\.Rmd
streamgraph\.html
^\.example.png$
^CONDUCT\.md$
^README\.html$
example\.png$
streamgraph\.md$
================================================
FILE: .gitignore
================================================
.Rproj.user
.Rhistory
.RData
.Rproj
src/*.o
src/*.so
src/*.dll
inst/doc
================================================
FILE: .travis.yml
================================================
language: c
before_install:
- curl -OL http://raw.github.com/craigcitro/r-travis/master/scripts/travis-tool.sh
- chmod 755 ./travis-tool.sh
- ./travis-tool.sh bootstrap
install:
- ./travis-tool.sh install_github plyr
- ./travis-tool.sh install_deps
script: ./travis-tool.sh run_tests
on_failure:
- ./travis-tool.sh dump_logs
branches:
except:
- /-expt$/
notifications:
email:
on_success: change
on_failure: change
================================================
FILE: CONDUCT.md
================================================
# Contributor Code of Conduct
As contributors and maintainers of this project, we pledge to respect all people who
contribute through reporting issues, posting feature requests, updating documentation,
submitting pull requests or patches, and other activities.
We are committed to making participation in this project a harassment-free experience for
everyone, regardless of level of experience, gender, gender identity and expression,
sexual orientation, disability, personal appearance, body size, race, ethnicity, age, or religion.
Examples of unacceptable behavior by participants include the use of sexual language or
imagery, derogatory comments or personal attacks, trolling, public or private harassment,
insults, or other unprofessional conduct.
Project maintainers have the right and responsibility to remove, edit, or reject comments,
commits, code, wiki edits, issues, and other contributions that are not aligned to this
Code of Conduct. Project maintainers who do not follow the Code of Conduct may be removed
from the project team.
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by
opening an issue or contacting one or more of the project maintainers.
This Code of Conduct is adapted from the Contributor Covenant
(http:contributor-covenant.org), version 1.0.0, available at
http://contributor-covenant.org/version/1/0/0/
================================================
FILE: DESCRIPTION
================================================
Package: streamgraph
Type: Package
Title: streamgraph is an htmlwidget for building streamgraph visualizations
Version: 0.9.0
Date: 2019-05-02
Author: Bob Rudis <bob@rud.is>
Maintainer: Bob Rudis <bob@rud.is>
Description: A streamgraph (or "stream graph") is a type of stacked area graph
which is displaced around a central axis, resulting in a flowing,
organic shape. Streamgraphs were developed by Lee Byron and popularized
by their use in a February 2008 New York Times article on movie
box office revenues. [Wikipedia] The streamgraph package is based on
the htmlwidget package and uses D3.js to render the visualizations.
URL: http://github.com/hrbrmstr/streamgraph
BugReports: https://github.com/hrbrmstr/streamgraph/issues
License: MIT + file LICENSE
Suggests:
testthat,
knitr,
babynames,
ggplot2movies
Encoding: UTF-8
Depends:
R (>= 3.0.0),
Imports:
htmlwidgets,
htmltools,
magrittr,
xts,
tidyr,
dplyr
VignetteBuilder: knitr
RoxygenNote: 6.1.1
================================================
FILE: LICENSE
================================================
YEAR: 2015
COPYRIGHT HOLDER: Bob Rudis
================================================
FILE: NAMESPACE
================================================
# Generated by roxygen2: do not edit by hand
export("%>%")
export(renderStreamgraph)
export(sg_annotate)
export(sg_axis_x)
export(sg_axis_y)
export(sg_colors)
export(sg_fill_brewer)
export(sg_fill_manual)
export(sg_fill_tableau)
export(sg_legend)
export(sg_title)
export(streamgraph)
export(streamgraphOutput)
export(widgetThumbnail)
import(htmltools)
import(htmlwidgets)
import(xts)
importFrom(dplyr,arrange)
importFrom(dplyr,bind_rows)
importFrom(dplyr,left_join)
importFrom(dplyr,mutate)
importFrom(dplyr,select)
importFrom(magrittr,"%>%")
importFrom(tidyr,expand)
================================================
FILE: R/annotate.r
================================================
. <- NULL
#' Add text annotation to streamgraph
#'
#' Use this function to place text at any point on a streamgraph. This
#' is especially useful for non-interactive streamgraphs (i.e. to label
#' a particular stream).
#'
#' @param sg streamgraph object
#' @param label text for the annotation
#' @param x horizontal position
#' @param y vertical position
#' @param color color of the label
#' @param size font size
#' @export
sg_annotate <- function(sg, label, x, y, color="black", size=12) {
if (inherits(x, "Date")) { x <- format(x, "%Y-%m-%d") }
ann <- data.frame(label=label, x=x, y=y, color=color, size=size, stringsAsFactors=FALSE)
if (is.null(sg$x$annotations)) {
sg$x$annotations <- ann
} else {
sg$x$annotations <- bind_rows(ann, sg$x$annotations)
}
sg
}
================================================
FILE: R/color.r
================================================
#' Modify streamgraph colors
#'
#' Change the ColorBrewer palette being used
#'
#' @param sg streamgraph object
#' @param palette UNUSED; being removed in next release; use \code{sg_fill_*} instead
#' @param axis_color color of the axis text (defaults to "\code{black}")
#' @param tooltip_color color of the tooltip text (defaults to "\code{black}")
#' @param label_color color of the label text for the legend select menu (defaults to "\code{black}")
#' @return streamgraph object
#' @export
#' @examples \dontrun{
#' library(dplyr)
#' library(streamgraph)
#' ggplot2movies::movies %>%
#' select(year, Action, Animation, Comedy, Drama, Documentary, Romance, Short) %>%
#' tidyr::gather(genre, value, -year) %>%
#' group_by(year, genre) %>%
#' tally(wt=value) %>%
#' ungroup %>%
#' mutate(year=as.Date(sprintf("%d-01-01", year))) -> dat
#'
#' streamgraph(dat, "genre", "n", "year") %>%
#' sg_colors("PuOr")
#' }
sg_colors <- function(sg, palette=NULL, axis_color="black", tooltip_color="black", label_color="black") {
if (!is.null(palette)) {
message("Use 'sg_fill_*' for setting stream colors. This parameter will be removed in an upcoming release.")
}
sg$x$text <- axis_color
sg$x$tooltip <- tooltip_color
sg$x$label_col <- label_color
sg
}
#' Use ColorBrewer palettes for streamgraph fill colors
#'
#' ColorBrewer provides sequential, diverging and qualitative colour schemes
#' which are particularly suited and tested to display categorical values.
#'
#' @param sg streamgraph object
#' @param palette ColorBrewer pallete atomic character value (defaults to \code{Spectral})
#' @return streamgraph object
#' @export
#' @examples \dontrun{
#' library(dplyr)
#' library(streamgraph)
#' ggplot2movies::movies %>%
#' select(year, Action, Animation, Comedy, Drama, Documentary, Romance, Short) %>%
#' tidyr::gather(genre, value, -year) %>%
#' group_by(year, genre) %>%
#' tally(wt=value) %>%
#' ungroup %>%
#' mutate(year=as.Date(sprintf("%d-01-01", year))) -> dat
#'
#' streamgraph(dat, "genre", "n", "year") %>%
#' sg_fill_brewer("PuOr")
#' }
sg_fill_brewer <- function(sg, palette="Spectral") {
sg$x$fill <- "brewer"
sg$x$palette <- palette
sg
}
#' Use Tableau discrete palettes for streamgraph fill colors
#'
#' Tableau discrete palettes provide colour schemes
#' which are particularly suited and tested to display categorical values.
#'
#' @param sg streamgraph object
#' @param palette Tableau discrete pallete atomic character value (defaults to \code{tableau20}). Must be one of
#' \code{c("tableau20", "tableau10medium", "gray5", "colorblind10", "trafficlight", "purplegray12", "bluered12", "greenorange12", "cyclic")}
#' @return streamgraph object
#' @export
#' @examples \dontrun{
#' library(dplyr)
#' library(streamgraph)
#' ggplot2movies::movies %>%
#' select(year, Action, Animation, Comedy, Drama, Documentary, Romance, Short) %>%
#' tidyr::gather(genre, value, -year) %>%
#' group_by(year, genre) %>%
#' tally(wt=value) %>%
#' ungroup %>%
#' mutate(year=as.Date(sprintf("%d-01-01", year))) -> dat
#'
#' streamgraph(dat, "genre", "n", "year") %>%
#' sg_fill_tableau("purplegray12")
#' }
sg_fill_tableau<- function(sg, palette="tableau20") {
if (palette %in% c("tableau20", "tableau10medium", "gray5",
"colorblind10", "trafficlight", "purplegray12",
"bluered12", "greenorange12", "cyclic")) {
sg$x$fill <- "manual"
sg$x$palette <- tableau_colors(palette)
} else {
warning("'palette' value is not a valid Tableau discrete color scale, using streamgraph defaults")
}
sg
}
#' Use manual colors for streamgraph fill colors
#'
#' Specify a vector of colors (e.g. \code{c("red", "#00ff00", rgb(0,0,1))}) to
#' use for the color scale. Note that \code{streamgraph} sorts the categorical values
#' before assigning the mappings, which means you can use that as a determinstic way of
#' assigning specific colors to categories. If the number of categories
#' exceeds the number of colors in the palette, the colors will be reused in order.
#'
#' @param sg streamgraph object
#' @param values character vector of
#' @return streamgraph object
#' @export
#' @examples \dontrun{
#' library(dplyr)
#' library(streamgraph)
#' ggplot2movies::movies %>%
#' select(year, Action, Animation, Comedy, Drama, Documentary, Romance, Short) %>%
#' tidyr::gather(genre, value, -year) %>%
#' group_by(year, genre) %>%
#' tally(wt=value) %>%
#' ungroup %>%
#' mutate(year=as.Date(sprintf("%d-01-01", year))) -> dat
#'
#' streamgraph(dat, "genre", "n", "year") %>%
#' sg_fill_manual(c("black", "#ffa500", "blue", "white", "#00ff00", "red"))
#' }
sg_fill_manual <- function(sg, values=NULL) {
if (is.null(values)) {
warning("color values not specified, using streamgraph defauls")
} else {
sg$x$fill <- "manual"
sg$x$palette <- col2hex(values)
}
sg
}
================================================
FILE: R/legend.r
================================================
#' Modify streamgraph legend properties
#'
#' If the \code{streamgraph} is interactive, a "legend" can be added
#' that displays a select menu of all the stream categories. Selecting
#' a category will highlight that stream in the graph.
#'
#' TODO: legends for non-interactive streamgraphs
#'
#' @param sg streamgraph object
#' @param show if this is \code{TRUE} and \code{interactive} is \code{TRUE} then a popup menu
#' will be available that lists ll the keys in the data set. Selecting a key will
#' perform the same action as hovering over the area with the mouse.
#' @param label label for the legend (optional)
#' @export
#' @examples \dontrun{
#' library(dplyr)
#' library(streamgraph)
#' ggplot2movies::movies %>%
#' select(year, Action, Animation, Comedy, Drama, Documentary, Romance, Short) %>%
#' tidyr::gather(genre, value, -year) %>%
#' group_by(year, genre) %>%
#' tally(wt=value) %>%
#' ungroup %>%
#' mutate(year=as.Date(sprintf("%d-01-01", year))) -> dat
#'
#' streamgraph(dat, "genre", "n", "year") %>%
#' sg_fill_brewer("PuOr") %>%
#' sg_legend(TRUE, "Genre: ")
#' }
sg_legend <- function(sg, show=FALSE, label="") {
sg$x$legend <- show
sg$x$legend_label <- label
sg
}
================================================
FILE: R/marker.r
================================================
#' Add a vertical marker (with optional label) to streamgraph
#'
#' This is useful for marking/labeling notable events along the streams.
#'
#' @param sg streamgraph object
#' @param x horizontal position
#' @param label text for the annotation
#' @param stroke_width line width
#' @param stroke line color
#' @param space space (in points) from the marker to place the label
#' @param y vertical position
#' @param color color of the label
#' @param size font size#' @export
#' @param anchor how to justify the label (one of \code{start} [left],
#' \code{middle} [center] or \code{end} [right])
sg_add_marker <- function(sg, x, label="", stroke_width=0.5, stroke="#7f7f7f", space=5,
y=0, color="#7f7f7f", size=12, anchor="start") {
if (inherits(x, "Date")) { x <- format(x, "%Y-%m-%d") }
mark <- data.frame(x=x, y=y, label=label, color=color, stroke_width=stroke_width, stroke=stroke,
space=space, size=size, anchor=anchor, stringsAsFactors=FALSE)
if (is.null(sg$x$markers)) {
sg$x$markers <- mark
} else {
sg$x$markers <- bind_rows(mark, sg$x$markers)
}
sg
}
================================================
FILE: R/phantom.R
================================================
#' Make a thumbnail for an htmlwidget panel
#'
#' @param p htmlwidget object
#' @param thumbPath where to save thumbnail file
#' @export
widgetThumbnail <- function(p, thumbPath) {
phantom <- findPhantom()
thumbPath <- path.expand(thumbPath)
if(phantom == "") {
message("** phantomjs dependency could not be found - thumbnail cannot be generated\n (Please visit this page to install phantomjs on your system: http://phantomjs.org/download.html)")
} else {
res <- try({
ff <- tempfile(fileext = ".html")
ffjs <- tempfile(fileext = ".js")
# don't want any padding
p$sizingPolicy$padding <- 0
suppressMessages(saveWidget(p, ff))
js <- paste0("var page = require('webpage').create();
page.open('file://", ff, "', function() {
window.setTimeout(function () {
page.render('", thumbPath, "');
phantom.exit();
}, 500);
});")
cat(js, file = ffjs)
system2(phantom, ffjs)
})
if(inherits(res, "try-error"))
message("** could not create htmlwidget thumbnail...")
# system(paste("open ", ffjs))
# system(paste("open ", dirname(ffjs)))
}
}
# similar to webshot
findPhantom <- function() {
phantom <- Sys.which("phantomjs")
if(Sys.which("phantomjs") == "") {
if(identical(.Platform$OS.type, "windows")) {
phantom <- Sys.which(file.path(Sys.getenv("APPDATA"), "npm", "phantomjs.cmd"))
}
}
phantom
}
================================================
FILE: R/sg_axis_x.r
================================================
#' Modify streamgraph x axis formatting
#'
#' Change the tick interval, units and label text display format for the
#' streamgraph x axis.
#'
#' @param sg streamgraph object
#' @param tick_interval tick interval
#' @param tick_units units for the ticks
#' @param tick_format how to show the labels (subset of \code{strftime}
#' formatters for \code{date} scale, otherwise \code{sprintf} formats for
#' \code{continuous} scale) (defaults to \code{\%b} - must specify if \code{continuous}).
#' See \href{D3 formatting}{https://github.com/mbostock/d3/wiki/Formatting} for more details.
#' @return streamgraph object
#' @export
#' @examples \dontrun{
#' library(dplyr)
#' library(streamgraph)
#' ggplot2movies::movies %>%
#' select(year, Action, Animation, Comedy, Drama, Documentary, Romance, Short) %>%
#' tidyr::gather(genre, value, -year) %>%
#' group_by(year, genre) %>%
#' tally(wt=value) %>%
#' ungroup %>%
#' mutate(year=as.Date(sprintf("%d-01-01", year))) -> dat
#'
#' streamgraph(dat, "genre", "n", "year") %>%
#' sg_axis_x(20, "year", "%Y")
#' }
sg_axis_x <- function(sg,
tick_interval=NULL,
tick_units=NULL,
tick_format=NULL) {
if (!is.null(tick_interval))sg$x$x_tick_interval <- tick_interval
if (!is.null(tick_units)) sg$x$x_tick_units <- tick_units
if (!is.null(tick_format)) sg$x$x_tick_format <- tick_format
sg
}
================================================
FILE: R/sg_axis_y.r
================================================
#' Modify streamgraph y axis formatting
#'
#' Change the tick count & format
#'
#' @param sg streamgraph object
#' @param tick_count number of y axis ticks, not tick interval (defaults to \code{5});
#' make this \code{0} if you want to hide the y axis labels
#' @param tick_format d3 \href{https://github.com/mbostock/d3/wiki/Formatting#d3_format}{tick format} string
#' @return streamgraph object
#' @export
#' @examples \dontrun{
#' library(dplyr)
#' library(streamgraph)
#' ggplot2movies::movies %>%
#' select(year, Action, Animation, Comedy, Drama, Documentary, Romance, Short) %>%
#' tidyr::gather(genre, value, -year) %>%
#' group_by(year, genre) %>%
#' tally(wt=value) %>%
#' ungroup %>%
#' mutate(year=as.Date(sprintf("%d-01-01", year))) -> dat
#'
#' streamgraph(dat, "genre", "n", "year") %>%
#' sg_axis_x(20, "year", "%Y") %>%
#' sg_axis_y(0)
#' }#' @export
sg_axis_y <- function(sg, tick_count=5, tick_format=",g") {
sg$x$y_tick_count <- tick_count
sg$x$y_tick_format <- tick_format
sg
}
================================================
FILE: R/shiny.r
================================================
#' Widget output function for use in Shiny
#'
#' @param outputId outputId
#' @param width width
#' @param height height
#' @export
streamgraphOutput <- function(outputId, width = '100%', height = '400px'){
shinyWidgetOutput(outputId, 'streamgraph', width, height, package = 'streamgraph')
}
#' Widget render function for use in Shiny
#'
#' @param expr expr
#' @param env env
#' @param quoted quoted
#' @export
renderStreamgraph <- function(expr, env = parent.frame(), quoted = FALSE) {
if (!quoted) { expr <- substitute(expr) } # force quoted
shinyRenderWidget(expr, streamgraphOutput, env, quoted = TRUE)
}
================================================
FILE: R/streamgraph-package.R
================================================
#' A package to make \href{http://www.leebyron.com/else/streamgraph/}{streamgraphs}
#' @name streamgraph-package
#' @docType package
#' @author Bob Rudis (@@hrbrmstr)
#' @import htmlwidgets htmltools xts
#' @importFrom dplyr bind_rows arrange left_join mutate select
NULL
#' streamgraph exported operators
#'
#' The following functions are imported and then re-exported
#' from the metricsgraphics package to enable use of the magrittr
#' pipe operator with no additional library calls
#'
#' @name streamgraph-exports
NULL
#' @importFrom magrittr %>%
#' @name %>%
#' @export
#' @rdname streamgraph-exports
NULL
================================================
FILE: R/streamgraph.R
================================================
#' Create a new streamgraph
#'
#' \code{streamgraph()} initializes the streamgraph html widget
#' and takes a data frame in "long" format with columns for the
#' category (by default, it looks for \code{key}) and its associated
#' \code{date} and \code{value}. You can supply the names for those
#' columns if they aren't named as such in your data.\cr
#' \cr
#' By default, interactivity is on, but you can disable that by setting
#' the \code{interactive} parameter to \code{FALSE}.
#'
#' @param data data frame
#' @param key bare or quoted name of the category column (defaults to \code{key})
#' @param value bare or quoted name of the value column (defaults to \code{value})
#' @param date bare or quoted name of the date column (defaults to \code{date})
#' @param width Width in pixels (optional, defaults to automatic sizing)
#' @param height Height in pixels (optional, defaults to automatic sizing)
#' @param offset see d3's \href{https://github.com/mbostock/d3/wiki/Stack-Layout#offset}{offset layout} for more details.
#' The default is probably fine for most uses but can be one of \code{silhouette} (default),
#' \code{wiggle}, \code{expand} or \code{zero}
#' @param interpolate see d3's \href{https://github.com/mbostock/d3/wiki/SVG-Shapes#area_interpolate}{area interpolation} for more details.
#' The default is probably fine fore most uses, but can be one of \code{cardinal} (default),
#' \code{linear}, \code{step}, \code{step-before}, \code{step-after}, \code{basis}, \code{basis-open},
#' \code{cardinal-open}, \code{monotone}
#' @param interactive set to \code{FALSE} if you do not want an interactive streamgraph
#' @param scale axis scale (\code{date} [default] or \code{continuous})
#' @param top top margin (default should be fine, this allows for fine-tuning plot space)
#' @param right right margin (default should be fine, this allows for fine-tuning plot space)
#' @param bottom bottom margin (default should be fine, this allows for fine-tuning plot space)
#' @param left left margin (default should be fine, this allows for fine-tuning plot space)
#' @param sort experimental
#' @param complete experimental
#' @param order streamgraph ribbon order. "`compat`" to match the orignial package behavior,
#' "`asis`" to use the input order, "`inside-out`" to sort by index of maximum value,
#' then use balanced weighting, or "`reverse`" to reverse the input layer order.
#' @import htmlwidgets htmltools
#' @importFrom tidyr expand
#' @return streamgraph object
#' @export
#' @examples \dontrun{
#' library(dplyr)
#' library(streamgraph)
#' ggplot2movies::movies %>%
#' select(year, Action, Animation, Comedy, Drama, Documentary, Romance, Short) %>%
#' tidyr::gather(genre, value, -year) %>%
#' group_by(year, genre) %>%
#' tally(wt=value) %>%
#' ungroup %>%
#' mutate(year=as.Date(sprintf("%d-01-01", year))) -> dat
#'
#' streamgraph(dat, "genre", "n", "year")
#' }
streamgraph <- function(data,
key,
value,
date,
width=NULL, height=NULL,
offset="silhouette",
interpolate="cardinal",
interactive=TRUE,
scale="date",
top=20,
right=40,
bottom=30,
left=50,
sort=TRUE,
complete=TRUE,
order = c("compat", "asis", "inside-out", "reverse")) {
order <- match.arg(order, choices = c("compat", "asis", "inside-out", "reverse"))
if (order == "compat") order <- "none"
if (order == "asis") order <- "default"
if (!(offset %in% c("silhouette", "wiggle", "expand", "zero"))) {
warning("'offset' does not have a valid value, defaulting to 'silhouette'")
offset <- "silhouette"
}
if (!(interpolate %in% c("cardinal", "linear", "step", "step-before",
"step-after", "basis", "basis-open",
"cardinal-open", "monotone"))) {
warning("'interpolate' does not have a valid value, defaulting to 'cardinal'")
interpolate <- "cardinal"
}
if (!missing(key)) {
key <- substitute(key)
if (inherits(key, "name")) { key <- as.character(key) }
} else {
key <- "key"
}
if (!missing(value)) {
value <- substitute(value)
if (inherits(value, "name")) { value <- as.character(value) }
} else {
value <- "value"
}
if (!missing(date)) {
date <- substitute(date)
if (inherits(date, "name")) { date <- as.character(date) }
} else {
date <- "date"
}
data <- data.frame(data)
data <- data[,c(key, value, date)]
colnames(data) <- c("key", "value", "date")
xtu <- "month"
xtf <- "%b"
xti <- 1
if (scale=="date") {
# date format
if (all(class(data$date) %in% c("numeric", "character", "integer"))) {
if (all(nchar(as.character(data$date)) == 4)) {
data %>%
mutate(date=sprintf("%04d-01-01", as.numeric(date))) -> data
xtu <- "year"
xtf <- "%Y"
xti <- 10
}
}
} else {
xtu <- NULL
xtf <- ",.0f"
xti <- 10
}
# needs all combos, so we do the equiv of expand.grid, but w/dplyr & tidyr
if (complete) {
data %>%
left_join(tidyr::expand(., key, date), ., by=c("key", "date")) %>%
mutate(value=ifelse(is.na(value), 0, value)) %>%
select(key, value, date) -> data
}
if (scale=="date") {
# date format
data %>%
mutate(date=format(as.Date(date), "%Y-%m-%d")) %>%
arrange(date) -> data
}
params = list(
data=data,
markers=NULL,
annotations=NULL,
offset=offset,
interactive=interactive,
interpolate=interpolate,
palette="Spectral",
text="black",
tooltip="black",
x_tick_interval=xti,
x_tick_units=xtu,
x_tick_format=xtf,
y_tick_count=5,
y_tick_format=",g",
top=top,
right=right,
bottom=bottom,
left=left,
legend=FALSE,
legend_label="",
fill="brewer",
label_col="black",
x_scale=scale,
sort=sort,
order=order
)
htmlwidgets::createWidget(
name = 'streamgraph',
x = params,
width = width,
height = height,
package = 'streamgraph'
)
}
#' Add a title to the streamgraph
#'
#' @param sg streamgraph object
#' @param title title
#' @return THIS DOES NOT RETURN AN \code{htmlwidget}!! It returns a \code{shiny.tag}
#' class HTML (the widget is wrapped in a \code{<div>}). It should be the LAST
#' call in a magrittr pipe chain or called to wrap a streamgraph object for
#' output
#' @export
sg_title <- function(sg, title="") {
div(style="margin:auto;text-align:center", strong(title), br(), sg)
}
streamgraph_html <- function(id, style, class, width, height, ...) {
list(tags$div(id = id, class = class, style = style),
tags$div(id = sprintf("%s-legend", id), style=sprintf("width:%s", width), class = sprintf("%s-legend", class),
HTML(sprintf("<center><label style='padding-right:5px' for='%s-select'></label><select id='%s-select' style='visibility:hidden;'></select></center>", id, id))))
}
================================================
FILE: R/utils.R
================================================
# taken from gplots pkg
col2hex <- function (cname) {
colMat <- col2rgb(cname)
rgb(red = colMat[1, ]/255, green = colMat[2, ]/255, blue = colMat[3,]/255)
}
# ripped/modified from ggthemes pkg
tableau_colors <- function(palette="tableau20") {
x <- list(
tableau20 =
c("#1F77B4",
"#AEC7E8",
"#FF7F0E",
"#FFBB78",
"#2CA02C",
"#98DF8A",
"#D62728",
"#FF9896",
"#9467BD",
"#C5B0D5",
"#8C564B",
"#C49C94",
"#E377C2",
"#F7B6D2",
"#7F7F7F",
"#C7C7C7",
"#BCBD22",
"#DBDB8D",
"#17BECF",
"#9EDAE5"),
## Tablau10 are odd, Tableau10-light are even
tableau10medium =
c("#729ECE",
"#FF9E4A",
"#67BF5C",
"#ED665D",
"#AD8BC9",
"#A8786E",
"#ED97CA",
"#A2A2A2",
"#CDCC5D",
"#6DCCDA"),
gray5 =
c("#60636A",
"#A5ACAF",
"#414451",
"#8F8782",
"#CFCFCF"),
colorblind10 =
c("#006BA4",
"#FF800E",
"#ABABAB",
"#595959",
"#5F9ED1",
"#C85200",
"#898989",
"#A2C8EC",
"#FFBC79",
"#CFCFCF"),
trafficlight =
c("#B10318",
"#DBA13A",
"#309343",
"#D82526",
"#FFC156",
"#69B764",
"#F26C64",
"#FFDD71",
"#9FCD99"),
purplegray12 =
c("#7B66D2",
"#A699E8",
"#DC5FBD",
"#FFC0DA",
"#5F5A41",
"#B4B19B",
"#995688",
"#D898BA",
"#AB6AD5",
"#D098EE",
"#8B7C6E",
"#DBD4C5"),
## purplegray6 is oddd
bluered12 =
c("#2C69B0",
"#B5C8E2",
"#F02720",
"#FFB6B0",
"#AC613C",
"#E9C39B",
"#6BA3D6",
"#B5DFFD",
"#AC8763",
"#DDC9B4",
"#BD0A36",
"#F4737A"),
## bluered6 is odd
greenorange12 =
c("#32A251",
"#ACD98D",
"#FF7F0F",
"#FFB977",
"#3CB7CC",
"#98D9E4",
"#B85A0D",
"#FFD94A",
"#39737C",
"#86B4A9",
"#82853B",
"#CCC94D"),
## greenorange6 is odd
cyclic =
c("#1F83B4",
"#1696AC",
"#18A188",
"#29A03C",
"#54A338",
"#82A93F",
"#ADB828",
"#D8BD35",
"#FFBD4C",
"#FFB022",
"#FF9C0E",
"#FF810E",
"#E75727",
"#D23E4E",
"#C94D8C",
"#C04AA7",
"#B446B3",
"#9658B1",
"#8061B4",
"#6F63BB")
)
return(x[[palette]])
}
================================================
FILE: README.Rmd
================================================
---
title: "streamgraph"
output:
html_document:
keep_md: true
md_document:
variant: markdown_github
---
streamgraph is an htmlwidget for making, well, _streamgraphs_.
[Sample Rmd](http://rpubs.com/hrbrmstr/59200)
A streamgraph (or "stream graph") is a type of stacked area graph
which is displaced around a central axis, resulting in a flowing,
organic shape. Streamgraphs were developed by Lee Byron and popularized
by their use in a February 2008 New York Times article on movie
box office revenues. ([Wikipedia](http://en.wikipedia.org/wiki/Streamgraph))
The x axis values can be continous or dates.
### TODO
- Support is planned for `xts` objects, but not for a bit.
- Support for categorical/discrete x axis
The following functions are implemented:
- `streamgraph` : Create a new streamgraph
- `sg_axis_x` : Modify streamgraph x axis formatting
- `sg_axis_y` : Modify streamgraph y axis formatting
- `sg_colors` : Modify streamgraph axis text, legend popup label text and tooltip text colors (NOTE: no longer modifies fill colors, use `sg_fill_*` for fill colors)
- `sg_legend` : Add select menu "legend" to interactive streamgraphs
- `sg_fill_brewer` : Specify a ColorBrewer palette to use for the stream fills
- `sg_fill_manual` : Specify a manual color palette to use for the stream fills
- `sg_fill_tableau` : Specify a Tableau color palette to use for the stream flls
- `sg_add_marker` : Annotate streamgraph with vertical line and label
- `sg_annotate` : Annotate streamgraph with a label
### News
- Version `0.8.1` released - ggplot2 movies fix; corrected numerous notes from CRAN check
- Version `0.8` released - support for negative Y axis numbers and upgrade to latest D3
- Version `0.7.5` released - `key`, `value` and `date` can be either bare or quoted
- Version `0.7` released - New `sg_add_marker` and `sg_annotation` to enable annotation of streamgraphs
- Version `0.6` released - New `scale` parameter to `streamgraph` lets you choose between continuous or date scales.
- Version `0.5.1` released - `sg_colors` now has nothing to do with the stream fills but _does_ set the axis text, legend popup label text and tooltip text.
- Version `0.5` released - deprecated use of `sg_colors`. Its functionality will change soon and is replaced by three `sg_fill_*` functions (`brewer`, `manual` and `tableau`) which makes more sense, is aligned to the `ggplot2` way of specifying fill aesthetics and now makes it easier to highly customize the streamgraph appearance.
- Versioin `0.4.2` released - fixed bug (thanks to teammate @bhaskarvk) that causes inconsistent color rendering for each area component (noticeable on resize of flexible width/height graphs)
- Version `0.4.1` released - removed warning message when supplying `POSIXct` values (remember, `POSIXct` still only works for granularities >= 1 day)
- Version `0.4` released - select menu "legend" (interactive only)
- Version `0.3.1` released - bug fix to fix error with `d3.stack`; `streamgraph` will now see if the date input is a year and automatically convert it to the necessary format (no need to use `as.Date`)
- Version `0.3` released - folks can have some fun with new `offset` and `interpolate` parameters to `streamgraph`
- Version `0.2.2` relased - rly rly rly fixed tooltips now, also assed ability to format y axis text
- Version `0.2.1` released - ok, working tool tips for realz now
- Version `0.2` released - working SVG tooltips; general code cleanup
- Version `0.1` released
### Installation
```{r eval=FALSE}
devtools::install_github("hrbrmstr/streamgraph")
```
```{r echo=FALSE, message=FALSE, warning=FALSE, error=FALSE}
options(width=120)
```
### Usage
```{r eval=FALSE}
library(streamgraph)
# current verison
packageVersion("streamgraph")
library(dplyr)
ggplot2movies::movies %>%
select(year, Action, Animation, Comedy, Drama, Documentary, Romance, Short) %>%
tidyr::gather(genre, value, -year) %>%
group_by(year, genre) %>%
tally(wt=value) -> dat
streamgraph(dat, "genre", "n", "year", interactive=TRUE) %>%
sg_axis_x(20, "year", "%Y") %>%
sg_fill_brewer("PuOr")
```
---------------
Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md). By participating in this project you agree to abide by its terms.
================================================
FILE: README.html
================================================
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<title>streamgraph</title>
<script src="data:application/x-javascript;base64,/*! jQuery v1.11.0 | (c) 2005, 2014 jQuery Foundation, Inc. | jquery.org/license */
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i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cb08AABFOAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAjPL%2FpQAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxADsAUABTACAAMAAwADEALgAwADAAMQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAHa4ADV2ADV8AC1cEs3pishg2FfJaEtxSn94IlU6ciwvljRcm9wVDgxsadLb0%2FGIypoPBp1Fx0xGTbQdxoAU51YoZ9RXGB0bXNPyK3JLMApRwa%2FIMy1PPoJDx39kimekZX1c%2BDSW41tEZBuFiwdwx1dRoPVA2vWPSlsSDqhNkqYfhrqlVUGD0J3HEAgZavmtLnDC5WBriSpD8Uk02KsUkJ9vCFz2CZXAd5viwGZ2xcVYRPa1bEIai51nMYlbL2ERuB2TCzLAbPWWRZ3%2FsZ%2FKBjLk8%2FgAZzK1OaxNw4oGBbsNhx6Reg5HRFVCrwa15kGmJEy5kX1YypVm%2FHo7TjKP3l%2B%2FnuCTOyiOa6S8QEJbuiGYNlCnM7tHChCHRRQHXQh7yPXASlcvc5KrNKol6orb35kbo%2BiEwl8d230cfWPwTy00bFDRYURYGchbwsoDcaR2AJsFGCrbWCzBdQ0qCobWwLfueqAzSkzaHX3yCjDlGYPV0VZqVXlqbr4poRaG5NNPMDv5MCHkLSFyABMRBhMiGSZiDgABYmwsLWDjUZCUnHwvXt0VAUy4%2FqjwVgjfUqp1evzUqutJB7DW99Cq5aEhGePsa4omKUp7LnSQUz%2BZq51pU72ApMxkaVZE9jF3IGKVnF0GlK1E6iqLJXFzy1BEv6Kr0ngCzIgVANRwCkVHYJj86Sv2dzqgVrjYKlg8W94FbPGQghEbTakZ4AoS9h0u39DOoRJTA2iirs9xa5m9Ir0KwkogoqFNVDbTIGO0%2FWuJYfp61Kq0bhgbcbnvbTDj4HBESsXMdvrvpp7Owf%2FS2EbndoEoglO%2FjigGAuLUTUmG07ZGlRCZ4QZLu81tPEgTtAvF99BxfnxNslgVYH5Jc4AfHwsiktDBO4wjgjizFMsIeBTGmIYrhtrK3tvtBu5tYB0PDMXILUkFYPM%2B5yLLGOU9DtoDLYWLQig%2B8wNRZbJZZWeK5JyKNwumLgP7X6pqgiZMFUvfCTl6Urx1gUOjzhcICumUUsiNESZCmTANkgHoh%2BKU0t1fgQYOBkNfp4MRiJysezS1Vz%2BahE7ohM0iJBn4I%2BT9RJN%2FuQk6SjQGwC%2Bom%2FSD7Zq2RxvcSjtdxHfo7NtktA46mEg5gBkTtMKu7oFb1KgqwqBLzQqZI%2Fs4QSRhYF3ani1URTcMD38kDDqlc3DChmYJTCR9WpaWrYFiXeNi7jYa1Oe%2BSP30gxVyeC10DYOakGpWaU1qkQ9OXlujEbM4A6A%2BQ243TA2QnI8mKzNXNo1HPN1CFawST6uC9dkyQTqq5bOKkkuGjz0nkj35Sr%2BQ%2FkLGg2iQMrTKImSGshnX7%2F0Jyh0JziDbTzxp3IrbosXgpchLcBJpLLUBrFbt%2FU6qXqAaNFJoeBItBoqgQlPZkpTq31s5VZsgIkFupAno5G9oKwCGRqv5294xFqOrEpewcjx%2Be06mxDkN85c0ckmWmMzbkFX9YHAf83p0EsnBywjZbcPxZw91kqg7voxasp3VfDhEDAufUx0MTddLO5kCyKkUBwOm%2FMurQH4bJQgK%2Bp14dkBBhgxpBUkTlSbTE8DDu9qKiDSCtvmPY7FRMn0wuS6XR7J%2BnpjjeaDNwiOgIKUWCP9aLb%2BXpc4toQCryp6gjCVq1Cl1Di%2BtEx4WnBp2hmGZpEksZwTSggXuqAWD4B7WAMcir2wmA%2BI43ECxUSeTDT%2BxgR3O4XFPOGxHh09lxpScampLahUbICao0db7%2F%2F%2B4CBMcCokQ7aOQ02MOzh0NEaJGGOvPR1t4sY1I55lNfQ3IkF04onnAomXxiNg2EbBbPTMBBlv%2BggPSmkb4GNFW6Ehd6nDzJlnIXFfzr1bVWQlfylDodFBbhCDf%2FVB13j441dc2rx3h4hfAWIJuZqbH%2Fwbuafg%2FnTQJ9bnMfR3U6TwYgDQJIOPOtmZW4ZHsR2VifZGaC6Pzv4ZzC2nSAaqSe09F9MxuI4UmUVA2RAUqBUIETEIAhB%2BtBhsxhVMXUmv3RPe1grhYWLM%2BPHwwO5W069qIgDXtETXZQ3741DSk%2BvO6y8k%2F7Mg6GFC5fSK02yXZ1XV0NZe8iknoIbSFnDm%2BbMP%2BBCQhoLKOeU3FVNQ%2BgPEntwkHT950cQYEYQc%2FXuL4nxwcRW2bIN%2ByskPaD5Rz6lN8LW5IDLYfuvhxlLcjWXSADeTshWsJk%2FHCuRbwjqLcx66fc6UlF33HipliQ1cvfKlgRpVcsmIsiYnJjzJIovUyqi%2F2OTQcIwt%2B3WW44BAQh%2F2GymOIscSpIt0YUePiwOCJN%2BQ60lqkSRbWi10lotzgWZsqzEI7OGFGeIoFyqli41%2FNn7LfLQ0qtxkaAwbsKZQ0D9s%2FwhBqoxhAlxCVNVF%2FJ6rsUBQ49MLtR3ICtKPLKZ%2FQPEeIRgWUNLbNR3v3tTaL8uiXO%2BOj3tSJc56KJHol9nGPuclbrQpCn4keT05ETSOQ%2FDwwKjCRLgIzBi7x%2BU7ByTZGUWcGLPY0VtXWC7kQ38C5thIGJx%2FxLM3KsoGyRwC5AFUNWPzU0QBCaVXo6z1NCclLuPVA8%2FwWuNhiAG9CPPSSlIOCuh2AQM1d6MyIEIQArIa9YenQ5ug37h9gPNDHVLImcjE91ewI7pz7HgOEVqTD%2FjREYRtEoDIfgxzDePkVvHWJAtcpCJ%2Bg2o4akZpphRUQ0U92lJcKZGJI9mnpl8UVzpMi8SBGXUAPpgcS2cDAusSE6q0hNibhCgZHLReLsA%2BSv8wF6LiDL3TogB1DsO%2FHeMg0ETucRO2hIOvbp1NVkFMclluNmBQbTy%2Bosr2bJ7oWdUtSHi1s%2B2vWxq8njY1eW4BCVr2EqSyIUuFKS9iwVF5FBGeg0hRcHwCKMtqYLBfvVSYXHdGZK3Ug95C2d%2B3t9ZWEYqq6F4TocgcDS4tI8cvEEXK1%2ByB9RofdKpHoA3eP9%2FB%2FEBG%2BIgvmwZ4Iir1SOYFEtUG%2FoVkECQqoPTdHoNpQKpA9K9k7TisAUBsKPtWgBriyeOxs1o%2B4KCIFumN744dH3Yf7X8F426LGtEhFLULhlKFgXF8Wq2D6kFSBkViLad9D9U%2FP6A%2Fr8SE7jsr9s%2Bsb5ODWI5uS6BkZJI5RQ5QDVZ5%2FKOG6Dzc1RLQKAdGkgwLiZLQdEYQ9yhQLtD5kWr4wGHTv4GqloWePyHYyuy3Ek3iQVQkdkAz0MxcsHzccdMLO8KFh7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%2FoKgCUsW4182Wvj5gpb0bGGLe8YRIYRGVgF2hwIlEfm7eUwwLZWW%2BmmBZPggPnIKI0b6G%2BlHCncx0wkaVPRQpZKWIIrzh4yC4Ar2vTKzhVKSutNi1dSzmM73AGUXSBJrQH5J4Dfb%2BRU25tYrIVdLr4ogiwTE2i2hl39ffJWHNTSWq3PvVJplNqDTJgJcvCHYoQAuHeOew0gZGfmX3p4D0aSr1BhXbXRA1qipfS6LiggtiT1eDg4FTCWwCdAFC9FCOZ52EdrFetMBxUdC0dfnqpr0mELJE2m5FVMvwplyf0XIKclHa6%2FQrw%2FFOVkVKK71Ab5iAVWm4GA3HnkCJhYkW06XJ3TDGB9YhVW9RuC39AFUcFWwU5eTNzuck7IQty7ZC9IjAGNHuZhQ8yDWZhGUoNyhDcKYQiUDqAC782makzJ1o3XJFIEDXgObv%2BTlS%2FdAr5rn2C%2FCDmkI0WO3cSTJwSLrS5dBdkyfpxAu4XghB3jgGShG8UCorOibUp7NciZgEDLmT6eOxDegpLRk7HomganEaTmRZAAMrhobApDjFWtOxht%2BNQngtKVgGL2yy6Qnsmju6DAg4d%2FRvxHa5mBaEMcBekCMtwaPPGeKFPMsgAJTidusMLUbTAUBJMOmXRwhONkoLPqBhpTuLSYN%2Bf8aeX1NKSxF2OUST9ezObkHETTsr04iWClpoFDE8OdIiDPQJqkHhnUPTcE43OsKBGS%2Fzk6F57sqVmhZKjPxle2S%2BiIE%2BM
gitextract_5lo9g5bj/
├── .Rbuildignore
├── .gitignore
├── .travis.yml
├── CONDUCT.md
├── DESCRIPTION
├── LICENSE
├── NAMESPACE
├── R/
│ ├── annotate.r
│ ├── color.r
│ ├── legend.r
│ ├── marker.r
│ ├── phantom.R
│ ├── sg_axis_x.r
│ ├── sg_axis_y.r
│ ├── shiny.r
│ ├── streamgraph-package.R
│ ├── streamgraph.R
│ └── utils.R
├── README.Rmd
├── README.html
├── README.md
├── inst/
│ └── htmlwidgets/
│ ├── lib/
│ │ ├── colorbrewer/
│ │ │ ├── LICENSE.txt
│ │ │ ├── colorbrewer.css
│ │ │ └── colorbrewer.js
│ │ ├── d3/
│ │ │ ├── CONTRIBUTING.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── bower.json
│ │ │ └── d3.js
│ │ └── streamgraph/
│ │ └── streamgraph.css
│ ├── streamgraph.js
│ └── streamgraph.yaml
├── man/
│ ├── renderStreamgraph.Rd
│ ├── sg_add_marker.Rd
│ ├── sg_annotate.Rd
│ ├── sg_axis_x.Rd
│ ├── sg_axis_y.Rd
│ ├── sg_colors.Rd
│ ├── sg_fill_brewer.Rd
│ ├── sg_fill_manual.Rd
│ ├── sg_fill_tableau.Rd
│ ├── sg_legend.Rd
│ ├── sg_title.Rd
│ ├── streamgraph-exports.Rd
│ ├── streamgraph-package.Rd
│ ├── streamgraph.Rd
│ ├── streamgraphOutput.Rd
│ └── widgetThumbnail.Rd
├── streamgraph.Rmd
├── streamgraph.Rproj
├── streamgraph.html
├── streamgraph.md
├── tests/
│ ├── test-all.R
│ └── testthat/
│ ├── ccasn.R
│ ├── sg.R
│ ├── space.R
│ ├── space.html
│ └── test-streamgraph.R
└── vignettes/
└── introduction.Rmd
SYMBOL INDEX (480 symbols across 2 files)
FILE: inst/htmlwidgets/lib/d3/d3.js
function d3_documentElement (line 9) | function d3_documentElement(node) {
function d3_window (line 12) | function d3_window(node) {
function d3_ascending (line 46) | function d3_ascending(a, b) {
function d3_number (line 109) | function d3_number(x) {
function d3_numeric (line 112) | function d3_numeric(x) {
function d3_bisector (line 171) | function d3_bisector(compare) {
function d3_zipLength (line 232) | function d3_zipLength(d) {
function d3_range_integerScale (line 284) | function d3_range_integerScale(x) {
function d3_class (line 289) | function d3_class(ctor, properties) {
function d3_Map (line 311) | function d3_Map() {
function d3_map_escape (line 344) | function d3_map_escape(key) {
function d3_map_unescape (line 347) | function d3_map_unescape(key) {
function d3_map_has (line 350) | function d3_map_has(key) {
function d3_map_remove (line 353) | function d3_map_remove(key) {
function d3_map_keys (line 356) | function d3_map_keys() {
function d3_map_size (line 361) | function d3_map_size() {
function d3_map_empty (line 366) | function d3_map_empty() {
function map (line 372) | function map(mapType, array, depth) {
function entries (line 396) | function entries(map, depth) {
function d3_Set (line 438) | function d3_Set() {
function d3_identity (line 456) | function d3_identity(d) {
function d3_rebind (line 464) | function d3_rebind(target, source, method) {
function d3_vendorSymbol (line 470) | function d3_vendorSymbol(object, name) {
function d3_noop (line 479) | function d3_noop() {}
function d3_dispatch (line 485) | function d3_dispatch() {}
function d3_dispatch_event (line 500) | function d3_dispatch_event(dispatch) {
function d3_eventPreventDefault (line 523) | function d3_eventPreventDefault() {
function d3_eventSource (line 526) | function d3_eventSource() {
function d3_eventDispatch (line 531) | function d3_eventDispatch(target) {
function d3_selection (line 557) | function d3_selection(groups) {
function d3_selection_selector (line 600) | function d3_selection_selector(selector) {
function d3_selection_selectorAll (line 618) | function d3_selection_selectorAll(selector) {
function d3_selection_attr (line 656) | function d3_selection_attr(name, value) {
function d3_collapse (line 680) | function d3_collapse(s) {
function d3_selection_classedRe (line 700) | function d3_selection_classedRe(name) {
function d3_selection_classes (line 703) | function d3_selection_classes(name) {
function d3_selection_classed (line 706) | function d3_selection_classed(name, value) {
function d3_selection_classedName (line 719) | function d3_selection_classedName(name) {
function d3_selection_style (line 748) | function d3_selection_style(name, value, priority) {
function d3_selection_property (line 769) | function d3_selection_property(name, value) {
function d3_selection_creator (line 808) | function d3_selection_creator(name) {
function d3_selectionRemove (line 828) | function d3_selectionRemove() {
function bind (line 843) | function bind(group, groupData) {
function d3_selection_dataNode (line 911) | function d3_selection_dataNode(data) {
function d3_selection_filter (line 933) | function d3_selection_filter(selector) {
function d3_selection_sortComparator (line 954) | function d3_selection_sortComparator(comparator) {
function d3_selection_each (line 965) | function d3_selection_each(groups, callback) {
function d3_selection_enter (line 997) | function d3_selection_enter(selection) {
function d3_selection_enterInsertBefore (line 1030) | function d3_selection_enterInsertBefore(enter) {
function d3_selection_on (line 1075) | function d3_selection_on(type, listener, capture) {
function d3_selection_onListener (line 1114) | function d3_selection_onListener(listener, argumentz) {
function d3_selection_onFilter (line 1126) | function d3_selection_onFilter(listener, argumentz) {
function d3_event_dragSuppress (line 1136) | function d3_event_dragSuppress(node) {
function d3_mousePoint (line 1164) | function d3_mousePoint(container, e) {
function drag (line 1203) | function drag() {
function dragstart (line 1206) | function dragstart(id, position, subject, move, end) {
function d3_behavior_dragTouchId (line 1250) | function d3_behavior_dragTouchId() {
function d3_sgn (line 1262) | function d3_sgn(x) {
function d3_cross2d (line 1265) | function d3_cross2d(a, b, c) {
function d3_acos (line 1268) | function d3_acos(x) {
function d3_asin (line 1271) | function d3_asin(x) {
function d3_sinh (line 1274) | function d3_sinh(x) {
function d3_cosh (line 1277) | function d3_cosh(x) {
function d3_tanh (line 1280) | function d3_tanh(x) {
function d3_haversin (line 1283) | function d3_haversin(x) {
function interpolate (line 1290) | function interpolate(t) {
function zoom (line 1316) | function zoom(g) {
function location (line 1416) | function location(p) {
function point (line 1419) | function point(l) {
function scaleTo (line 1422) | function scaleTo(s) {
function translateTo (line 1425) | function translateTo(p, l) {
function zoomTo (line 1430) | function zoomTo(that, p, l, k) {
function rescale (line 1442) | function rescale() {
function zoomstarted (line 1450) | function zoomstarted(dispatch) {
function zoomed (line 1455) | function zoomed(dispatch) {
function zoomended (line 1463) | function zoomended(dispatch) {
function mousedowned (line 1468) | function mousedowned() {
function touchstarted (line 1483) | function touchstarted() {
function mousewheeled (line 1553) | function mousewheeled() {
function dblclicked (line 1566) | function dblclicked() {
function d3_color (line 1574) | function d3_color() {}
function d3_hsl (line 1579) | function d3_hsl(h, s, l) {
function d3_hsl_rgb (line 1594) | function d3_hsl_rgb(h, s, l) {
function d3_hcl (line 1614) | function d3_hcl(h, c, l) {
function d3_hcl_lab (line 1627) | function d3_hcl_lab(h, c, l) {
function d3_lab (line 1633) | function d3_lab(l, a, b) {
function d3_lab_rgb (line 1648) | function d3_lab_rgb(l, a, b) {
function d3_lab_hcl (line 1655) | function d3_lab_hcl(l, a, b) {
function d3_lab_xyz (line 1658) | function d3_lab_xyz(x) {
function d3_xyz_lab (line 1661) | function d3_xyz_lab(x) {
function d3_xyz_rgb (line 1664) | function d3_xyz_rgb(r) {
function d3_rgb (line 1668) | function d3_rgb(r, g, b) {
function d3_rgbNumber (line 1671) | function d3_rgbNumber(value) {
function d3_rgbString (line 1674) | function d3_rgbString(value) {
function d3_rgb_hex (line 1697) | function d3_rgb_hex(v) {
function d3_rgb_parse (line 1700) | function d3_rgb_parse(format, rgb, hsl) {
function d3_rgb_hsl (line 1736) | function d3_rgb_hsl(r, g, b) {
function d3_rgb_lab (line 1748) | function d3_rgb_lab(r, g, b) {
function d3_rgb_xyz (line 1755) | function d3_rgb_xyz(r) {
function d3_rgb_parseNumber (line 1758) | function d3_rgb_parseNumber(c) {
function d3_functor (line 1915) | function d3_functor(v) {
function d3_xhrType (line 1922) | function d3_xhrType(response) {
function d3_xhr (line 1929) | function d3_xhr(url, mimeType, response, callback) {
function d3_xhr_fixCallback (line 2004) | function d3_xhr_fixCallback(callback) {
function d3_xhrHasResponse (line 2009) | function d3_xhrHasResponse(request) {
function dsv (line 2015) | function dsv(url, row, callback) {
function response (line 2023) | function response(request) {
function typedResponse (line 2026) | function typedResponse(f) {
function token (line 2045) | function token() {
function formatRow (line 2107) | function formatRow(row) {
function formatValue (line 2110) | function formatValue(text) {
function d3_timer_step (line 2138) | function d3_timer_step() {
function d3_timer_mark (line 2155) | function d3_timer_mark() {
function d3_timer_sweep (line 2164) | function d3_timer_sweep() {
function d3_format_precision (line 2177) | function d3_format_precision(x, p) {
function d3_formatPrefix (line 2194) | function d3_formatPrefix(d, i) {
function d3_locale_numberFormat (line 2205) | function d3_locale_numberFormat(locale) {
function d3_format_typeDefault (line 2326) | function d3_format_typeDefault(x) {
function d3_date_utc (line 2330) | function d3_date_utc() {
function d3_time_interval (line 2396) | function d3_time_interval(local, step, number) {
function d3_time_interval_utc (line 2444) | function d3_time_interval_utc(method) {
function d3_locale_timeFormat (line 2504) | function d3_locale_timeFormat(locale) {
function d3_time_formatPad (line 2724) | function d3_time_formatPad(value, fill, width) {
function d3_time_formatRe (line 2728) | function d3_time_formatRe(names) {
function d3_time_formatLookup (line 2731) | function d3_time_formatLookup(names) {
function d3_time_parseWeekdayNumber (line 2736) | function d3_time_parseWeekdayNumber(date, string, i) {
function d3_time_parseWeekNumberSunday (line 2741) | function d3_time_parseWeekNumberSunday(date, string, i) {
function d3_time_parseWeekNumberMonday (line 2746) | function d3_time_parseWeekNumberMonday(date, string, i) {
function d3_time_parseFullYear (line 2751) | function d3_time_parseFullYear(date, string, i) {
function d3_time_parseYear (line 2756) | function d3_time_parseYear(date, string, i) {
function d3_time_parseZone (line 2761) | function d3_time_parseZone(date, string, i) {
function d3_time_expandYear (line 2765) | function d3_time_expandYear(d) {
function d3_time_parseMonthNumber (line 2768) | function d3_time_parseMonthNumber(date, string, i) {
function d3_time_parseDay (line 2773) | function d3_time_parseDay(date, string, i) {
function d3_time_parseDayOfYear (line 2778) | function d3_time_parseDayOfYear(date, string, i) {
function d3_time_parseHour24 (line 2783) | function d3_time_parseHour24(date, string, i) {
function d3_time_parseMinutes (line 2788) | function d3_time_parseMinutes(date, string, i) {
function d3_time_parseSeconds (line 2793) | function d3_time_parseSeconds(date, string, i) {
function d3_time_parseMilliseconds (line 2798) | function d3_time_parseMilliseconds(date, string, i) {
function d3_time_zone (line 2803) | function d3_time_zone(d) {
function d3_time_parseLiteralPercent (line 2807) | function d3_time_parseLiteralPercent(date, string, i) {
function d3_time_formatMulti (line 2812) | function d3_time_formatMulti(formats) {
function d3_adder (line 2843) | function d3_adder() {}
function d3_adderSum (line 2860) | function d3_adderSum(a, b, o) {
function d3_geo_streamGeometry (line 2871) | function d3_geo_streamGeometry(geometry, listener) {
function d3_geo_streamLine (line 2916) | function d3_geo_streamLine(coordinates, listener, closed) {
function d3_geo_streamPolygon (line 2922) | function d3_geo_streamPolygon(coordinates, listener) {
function d3_geo_areaRingStart (line 2951) | function d3_geo_areaRingStart() {
function d3_geo_cartesian (line 2969) | function d3_geo_cartesian(spherical) {
function d3_geo_cartesianDot (line 2973) | function d3_geo_cartesianDot(a, b) {
function d3_geo_cartesianCross (line 2976) | function d3_geo_cartesianCross(a, b) {
function d3_geo_cartesianAdd (line 2979) | function d3_geo_cartesianAdd(a, b) {
function d3_geo_cartesianScale (line 2984) | function d3_geo_cartesianScale(vector, k) {
function d3_geo_cartesianNormalize (line 2987) | function d3_geo_cartesianNormalize(d) {
function d3_geo_spherical (line 2993) | function d3_geo_spherical(cartesian) {
function d3_geo_sphericalEqual (line 2996) | function d3_geo_sphericalEqual(a, b) {
function point (line 3021) | function point(λ, φ) {
function linePoint (line 3026) | function linePoint(λ, φ) {
function lineStart (line 3066) | function lineStart() {
function lineEnd (line 3069) | function lineEnd() {
function ringPoint (line 3074) | function ringPoint(λ, φ) {
function ringStart (line 3082) | function ringStart() {
function ringEnd (line 3085) | function ringEnd() {
function angle (line 3092) | function angle(λ0, λ1) {
function compareRanges (line 3095) | function compareRanges(a, b) {
function withinRange (line 3098) | function withinRange(x, range) {
function d3_geo_centroidPoint (line 3152) | function d3_geo_centroidPoint(λ, φ) {
function d3_geo_centroidPointXYZ (line 3157) | function d3_geo_centroidPointXYZ(x, y, z) {
function d3_geo_centroidLineStart (line 3163) | function d3_geo_centroidLineStart() {
function d3_geo_centroidLineEnd (line 3184) | function d3_geo_centroidLineEnd() {
function d3_geo_centroidRingStart (line 3187) | function d3_geo_centroidRingStart() {
function d3_geo_compose (line 3217) | function d3_geo_compose(a, b) {
function d3_true (line 3226) | function d3_true() {
function d3_geo_clipPolygon (line 3229) | function d3_geo_clipPolygon(segments, compare, clipStartInside, interpol...
function d3_geo_clipPolygonLinkCircular (line 3288) | function d3_geo_clipPolygonLinkCircular(array) {
function d3_geo_clipPolygonIntersection (line 3299) | function d3_geo_clipPolygonIntersection(point, points, other, entry) {
function d3_geo_clip (line 3307) | function d3_geo_clip(pointVisible, clipLine, interpolate, clipStart) {
function d3_geo_clipSegmentLength1 (line 3399) | function d3_geo_clipSegmentLength1(segment) {
function d3_geo_clipBufferListener (line 3402) | function d3_geo_clipBufferListener() {
function d3_geo_clipSort (line 3423) | function d3_geo_clipSort(a, b) {
function d3_geo_clipAntimeridianLine (line 3427) | function d3_geo_clipAntimeridianLine(listener) {
function d3_geo_clipAntimeridianIntersect (line 3466) | function d3_geo_clipAntimeridianIntersect(λ0, φ0, λ1, φ1) {
function d3_geo_clipAntimeridianInterpolate (line 3470) | function d3_geo_clipAntimeridianInterpolate(from, to, direction, listene...
function d3_geo_pointInPolygon (line 3493) | function d3_geo_pointInPolygon(point, polygon) {
function d3_geo_clipCircle (line 3522) | function d3_geo_clipCircle(radius) {
function d3_geom_clipLine (line 3618) | function d3_geom_clipLine(x0, y0, x1, y1) {
function d3_geo_clipExtent (line 3690) | function d3_geo_clipExtent(x0, y0, x1, y1) {
function d3_geo_conic (line 3824) | function d3_geo_conic(projectAt) {
function d3_geo_conicEqualArea (line 3832) | function d3_geo_conicEqualArea(φ0, φ1) {
function albersUsa (line 3859) | function albersUsa(coordinates) {
function d3_geo_pathAreaRingStart (line 3941) | function d3_geo_pathAreaRingStart() {
function d3_geo_pathBoundsPoint (line 3963) | function d3_geo_pathBoundsPoint(x, y) {
function d3_geo_pathBuffer (line 3969) | function d3_geo_pathBuffer() {
function d3_geo_pathBufferCircle (line 4014) | function d3_geo_pathBufferCircle(radius) {
function d3_geo_pathCentroidPoint (line 4030) | function d3_geo_pathCentroidPoint(x, y) {
function d3_geo_pathCentroidLineStart (line 4035) | function d3_geo_pathCentroidLineStart() {
function d3_geo_pathCentroidLineEnd (line 4049) | function d3_geo_pathCentroidLineEnd() {
function d3_geo_pathCentroidRingStart (line 4052) | function d3_geo_pathCentroidRingStart() {
function d3_geo_pathContext (line 4073) | function d3_geo_pathContext(context) {
function d3_geo_resample (line 4113) | function d3_geo_resample(project) {
function path (line 4193) | function path(object) {
function reset (line 4232) | function reset() {
function d3_geo_pathProjectStream (line 4238) | function d3_geo_pathProjectStream(project) {
function d3_geo_transform (line 4255) | function d3_geo_transform(stream) {
function d3_geo_transformPoint (line 4278) | function d3_geo_transformPoint(stream, point) {
function d3_geo_projection (line 4300) | function d3_geo_projection(project) {
function d3_geo_projectionMutator (line 4305) | function d3_geo_projectionMutator(projectAt) {
function d3_geo_projectionRadians (line 4377) | function d3_geo_projectionRadians(stream) {
function d3_geo_equirectangular (line 4382) | function d3_geo_equirectangular(λ, φ) {
function forward (line 4390) | function forward(coordinates) {
function d3_geo_identityRotation (line 4400) | function d3_geo_identityRotation(λ, φ) {
function d3_geo_rotation (line 4404) | function d3_geo_rotation(δλ, δφ, δγ) {
function d3_geo_forwardRotationλ (line 4407) | function d3_geo_forwardRotationλ(δλ) {
function d3_geo_rotationλ (line 4412) | function d3_geo_rotationλ(δλ) {
function d3_geo_rotationφγ (line 4417) | function d3_geo_rotationφγ(δφ, δγ) {
function circle (line 4431) | function circle() {
function d3_geo_circleInterpolate (line 4461) | function d3_geo_circleInterpolate(radius, precision) {
function d3_geo_circleAngle (line 4478) | function d3_geo_circleAngle(cr, point) {
function graticule (line 4491) | function graticule() {
function lines (line 4497) | function lines() {
function d3_geo_graticuleX (line 4563) | function d3_geo_graticuleX(y0, y1, dy) {
function d3_geo_graticuleY (line 4571) | function d3_geo_graticuleY(x0, x1, dx) {
function d3_source (line 4579) | function d3_source(d) {
function d3_target (line 4582) | function d3_target(d) {
function greatArc (line 4587) | function greatArc() {
function d3_geo_interpolate (line 4614) | function d3_geo_interpolate(x0, y0, x1, y1) {
function d3_geo_lengthLineStart (line 4639) | function d3_geo_lengthLineStart() {
function d3_geo_azimuthal (line 4654) | function d3_geo_azimuthal(scale, angle) {
function d3_geo_conicConformal (line 4680) | function d3_geo_conicConformal(φ0, φ1) {
function d3_geo_conicEquidistant (line 4703) | function d3_geo_conicEquidistant(φ0, φ1) {
function d3_geo_mercator (line 4725) | function d3_geo_mercator(λ, φ) {
function d3_geo_mercatorProjection (line 4731) | function d3_geo_mercatorProjection(project) {
function d3_geo_transverseMercator (line 4772) | function d3_geo_transverseMercator(λ, φ) {
function d3_geom_pointX (line 4790) | function d3_geom_pointX(d) {
function d3_geom_pointY (line 4793) | function d3_geom_pointY(d) {
function hull (line 4799) | function hull(data) {
function d3_geom_hullUpper (line 4821) | function d3_geom_hullUpper(points) {
function d3_geom_hullOrder (line 4829) | function d3_geom_hullOrder(a, b) {
function d3_geom_polygonInside (line 4883) | function d3_geom_polygonInside(p, a, b) {
function d3_geom_polygonIntersect (line 4886) | function d3_geom_polygonIntersect(c, d, a, b) {
function d3_geom_polygonClosed (line 4890) | function d3_geom_polygonClosed(coordinates) {
function d3_geom_voronoiBeach (line 4895) | function d3_geom_voronoiBeach() {
function d3_geom_voronoiCreateBeach (line 4899) | function d3_geom_voronoiCreateBeach(site) {
function d3_geom_voronoiDetachBeach (line 4904) | function d3_geom_voronoiDetachBeach(beach) {
function d3_geom_voronoiRemoveBeach (line 4910) | function d3_geom_voronoiRemoveBeach(beach) {
function d3_geom_voronoiAddBeach (line 4946) | function d3_geom_voronoiAddBeach(site) {
function d3_geom_voronoiLeftBreakPoint (line 5000) | function d3_geom_voronoiLeftBreakPoint(arc, directrix) {
function d3_geom_voronoiRightBreakPoint (line 5012) | function d3_geom_voronoiRightBreakPoint(arc, directrix) {
function d3_geom_voronoiCell (line 5018) | function d3_geom_voronoiCell(site) {
function d3_geom_voronoiCloseCells (line 5031) | function d3_geom_voronoiCloseCells(extent) {
function d3_geom_voronoiHalfEdgeOrder (line 5061) | function d3_geom_voronoiHalfEdgeOrder(a, b) {
function d3_geom_voronoiCircle (line 5064) | function d3_geom_voronoiCircle() {
function d3_geom_voronoiAttachCircle (line 5068) | function d3_geom_voronoiAttachCircle(arc) {
function d3_geom_voronoiDetachCircle (line 5101) | function d3_geom_voronoiDetachCircle(arc) {
function d3_geom_voronoiClipEdges (line 5111) | function d3_geom_voronoiClipEdges(extent) {
function d3_geom_voronoiConnectEdge (line 5121) | function d3_geom_voronoiConnectEdge(edge, extent) {
function d3_geom_voronoiEdge (line 5195) | function d3_geom_voronoiEdge(lSite, rSite) {
function d3_geom_voronoiCreateEdge (line 5200) | function d3_geom_voronoiCreateEdge(lSite, rSite, va, vb) {
function d3_geom_voronoiCreateBorderEdge (line 5209) | function d3_geom_voronoiCreateBorderEdge(lSite, va, vb) {
function d3_geom_voronoiSetEdgeEnd (line 5216) | function d3_geom_voronoiSetEdgeEnd(edge, lSite, rSite, vertex) {
function d3_geom_voronoiHalfEdge (line 5227) | function d3_geom_voronoiHalfEdge(edge, lSite, rSite) {
function d3_geom_voronoiRedBlackTree (line 5241) | function d3_geom_voronoiRedBlackTree() {
function d3_geom_voronoiRedBlackNode (line 5244) | function d3_geom_voronoiRedBlackNode(node) {
function d3_geom_voronoiRedBlackRotateLeft (line 5407) | function d3_geom_voronoiRedBlackRotateLeft(tree, node) {
function d3_geom_voronoiRedBlackRotateRight (line 5420) | function d3_geom_voronoiRedBlackRotateRight(tree, node) {
function d3_geom_voronoiRedBlackFirst (line 5433) | function d3_geom_voronoiRedBlackFirst(node) {
function d3_geom_voronoi (line 5437) | function d3_geom_voronoi(sites, bbox) {
function d3_geom_voronoiVertexOrder (line 5466) | function d3_geom_voronoiVertexOrder(a, b) {
function voronoi (line 5472) | function voronoi(data) {
function sites (line 5483) | function sites(data) {
function d3_geom_voronoiTriangleArea (line 5536) | function d3_geom_voronoiTriangleArea(a, b, c) {
function quadtree (line 5554) | function quadtree(data) {
function d3_geom_quadtreeCompatX (line 5649) | function d3_geom_quadtreeCompatX(d) {
function d3_geom_quadtreeCompatY (line 5652) | function d3_geom_quadtreeCompatY(d) {
function d3_geom_quadtreeNode (line 5655) | function d3_geom_quadtreeNode() {
function d3_geom_quadtreeVisit (line 5664) | function d3_geom_quadtreeVisit(f, node, x1, y1, x2, y2) {
function d3_geom_quadtreeFind (line 5673) | function d3_geom_quadtreeFind(root, x, y, x0, y0, x3, y3) {
function d3_interpolateRgb (line 5710) | function d3_interpolateRgb(a, b) {
function d3_interpolateObject (line 5719) | function d3_interpolateObject(a, b) {
function d3_interpolateNumber (line 5739) | function d3_interpolateNumber(a, b) {
function d3_interpolateString (line 5746) | function d3_interpolateString(a, b) {
function d3_interpolate (line 5780) | function d3_interpolate(a, b) {
function d3_interpolateArray (line 5790) | function d3_interpolateArray(a, b) {
function d3_ease_clamp (line 5841) | function d3_ease_clamp(f) {
function d3_ease_reverse (line 5846) | function d3_ease_reverse(f) {
function d3_ease_reflect (line 5851) | function d3_ease_reflect(f) {
function d3_ease_quad (line 5856) | function d3_ease_quad(t) {
function d3_ease_cubic (line 5859) | function d3_ease_cubic(t) {
function d3_ease_cubicInOut (line 5862) | function d3_ease_cubicInOut(t) {
function d3_ease_poly (line 5868) | function d3_ease_poly(e) {
function d3_ease_sin (line 5873) | function d3_ease_sin(t) {
function d3_ease_exp (line 5876) | function d3_ease_exp(t) {
function d3_ease_circle (line 5879) | function d3_ease_circle(t) {
function d3_ease_elastic (line 5882) | function d3_ease_elastic(a, p) {
function d3_ease_back (line 5890) | function d3_ease_back(s) {
function d3_ease_bounce (line 5896) | function d3_ease_bounce(t) {
function d3_interpolateHcl (line 5900) | function d3_interpolateHcl(a, b) {
function d3_interpolateHsl (line 5911) | function d3_interpolateHsl(a, b) {
function d3_interpolateLab (line 5922) | function d3_interpolateLab(a, b) {
function d3_interpolateRound (line 5931) | function d3_interpolateRound(a, b) {
function d3_transform (line 5947) | function d3_transform(m) {
function d3_transformDot (line 5963) | function d3_transformDot(a, b) {
function d3_transformNormalize (line 5966) | function d3_transformNormalize(a) {
function d3_transformCombine (line 5974) | function d3_transformCombine(a, b, k) {
function d3_interpolateTransform (line 5988) | function d3_interpolateTransform(a, b) {
function d3_uninterpolateNumber (line 6040) | function d3_uninterpolateNumber(a, b) {
function d3_uninterpolateClamp (line 6046) | function d3_uninterpolateClamp(a, b) {
function d3_layout_bundlePath (line 6060) | function d3_layout_bundlePath(link) {
function d3_layout_bundleAncestors (line 6073) | function d3_layout_bundleAncestors(node) {
function d3_layout_bundleLeastCommonAncestor (line 6083) | function d3_layout_bundleLeastCommonAncestor(a, b) {
function relayout (line 6095) | function relayout() {
function resort (line 6161) | function resort() {
function repulse (line 6208) | function repulse(node) {
function position (line 6380) | function position(dimension, size) {
function dragmove (line 6409) | function dragmove(d) {
function d3_layout_forceDragstart (line 6415) | function d3_layout_forceDragstart(d) {
function d3_layout_forceDragend (line 6418) | function d3_layout_forceDragend(d) {
function d3_layout_forceMouseover (line 6421) | function d3_layout_forceMouseover(d) {
function d3_layout_forceMouseout (line 6425) | function d3_layout_forceMouseout(d) {
function d3_layout_forceAccumulate (line 6428) | function d3_layout_forceAccumulate(quad, alpha, charges) {
function hierarchy (line 6458) | function hierarchy(root) {
function d3_layout_hierarchyRebind (line 6514) | function d3_layout_hierarchyRebind(object, hierarchy) {
function d3_layout_hierarchyVisitBefore (line 6520) | function d3_layout_hierarchyVisitBefore(node, callback) {
function d3_layout_hierarchyVisitAfter (line 6530) | function d3_layout_hierarchyVisitAfter(node, callback) {
function d3_layout_hierarchyChildren (line 6543) | function d3_layout_hierarchyChildren(d) {
function d3_layout_hierarchyValue (line 6546) | function d3_layout_hierarchyValue(d) {
function d3_layout_hierarchySort (line 6549) | function d3_layout_hierarchySort(a, b) {
function d3_layout_hierarchyLinks (line 6552) | function d3_layout_hierarchyLinks(nodes) {
function position (line 6564) | function position(node, x, dx, dy) {
function depth (line 6579) | function depth(node) {
function partition (line 6587) | function partition(d, i) {
function pie (line 6601) | function pie(data) {
function stack (line 6651) | function stack(data, index) {
function d3_layout_stackX (line 6706) | function d3_layout_stackX(d) {
function d3_layout_stackY (line 6709) | function d3_layout_stackY(d) {
function d3_layout_stackOut (line 6712) | function d3_layout_stackOut(d, y0, y) {
function d3_layout_stackOrderDefault (line 6779) | function d3_layout_stackOrderDefault(data) {
function d3_layout_stackOffsetZero (line 6782) | function d3_layout_stackOffsetZero(data) {
function d3_layout_stackMaxIndex (line 6787) | function d3_layout_stackMaxIndex(array) {
function d3_layout_stackReduceSum (line 6797) | function d3_layout_stackReduceSum(d) {
function d3_layout_stackSum (line 6800) | function d3_layout_stackSum(p, d) {
function histogram (line 6805) | function histogram(data, i) {
function d3_layout_histogramBinSturges (line 6849) | function d3_layout_histogramBinSturges(range, values) {
function d3_layout_histogramBinFixed (line 6852) | function d3_layout_histogramBinFixed(range, n) {
function d3_layout_histogramRange (line 6857) | function d3_layout_histogramRange(values) {
function pack (line 6862) | function pack(d, i) {
function d3_layout_packSort (line 6901) | function d3_layout_packSort(a, b) {
function d3_layout_packInsert (line 6904) | function d3_layout_packInsert(a, b) {
function d3_layout_packSplice (line 6911) | function d3_layout_packSplice(a, b) {
function d3_layout_packIntersects (line 6915) | function d3_layout_packIntersects(a, b) {
function d3_layout_packSiblings (line 6919) | function d3_layout_packSiblings(node) {
function d3_layout_packLink (line 6983) | function d3_layout_packLink(node) {
function d3_layout_packUnlink (line 6986) | function d3_layout_packUnlink(node) {
function d3_layout_packTransform (line 6990) | function d3_layout_packTransform(node, x, y, k) {
function d3_layout_packPlace (line 7000) | function d3_layout_packPlace(a, b, c) {
function tree (line 7016) | function tree(d, i) {
function wrapTree (line 7035) | function wrapTree(root0) {
function firstWalk (line 7059) | function firstWalk(v) {
function secondWalk (line 7075) | function secondWalk(v) {
function apportion (line 7079) | function apportion(v, w, ancestor) {
function sizeNode (line 7109) | function sizeNode(node) {
function d3_layout_treeSeparation (line 7130) | function d3_layout_treeSeparation(a, b) {
function d3_layout_treeLeft (line 7133) | function d3_layout_treeLeft(v) {
function d3_layout_treeRight (line 7137) | function d3_layout_treeRight(v) {
function d3_layout_treeMove (line 7141) | function d3_layout_treeMove(wm, wp, shift) {
function d3_layout_treeShift (line 7149) | function d3_layout_treeShift(v) {
function d3_layout_treeAncestor (line 7158) | function d3_layout_treeAncestor(vim, v, ancestor) {
function cluster (line 7163) | function cluster(d, i) {
function d3_layout_clusterY (line 7203) | function d3_layout_clusterY(children) {
function d3_layout_clusterX (line 7208) | function d3_layout_clusterX(children) {
function d3_layout_clusterLeft (line 7213) | function d3_layout_clusterLeft(node) {
function d3_layout_clusterRight (line 7217) | function d3_layout_clusterRight(node) {
function scale (line 7223) | function scale(children, k) {
function squarify (line 7230) | function squarify(node) {
function stickify (line 7257) | function stickify(node) {
function worst (line 7274) | function worst(row, u) {
function position (line 7285) | function position(row, u, rect, flush) {
function treemap (line 7315) | function treemap(d) {
function padFunction (line 7334) | function padFunction(node) {
function padConstant (line 7338) | function padConstant(node) {
function d3_layout_treemapPadNull (line 7369) | function d3_layout_treemapPadNull(node) {
function d3_layout_treemapPad (line 7377) | function d3_layout_treemapPad(node, padding) {
function d3_scaleExtent (line 7429) | function d3_scaleExtent(domain) {
function d3_scaleRange (line 7433) | function d3_scaleRange(scale) {
function d3_scale_bilinear (line 7436) | function d3_scale_bilinear(domain, range, uninterpolate, interpolate) {
function d3_scale_nice (line 7442) | function d3_scale_nice(domain, nice) {
function d3_scale_niceStep (line 7452) | function d3_scale_niceStep(step) {
function d3_scale_polylinear (line 7466) | function d3_scale_polylinear(domain, range, uninterpolate, interpolate) {
function d3_scale_linear (line 7484) | function d3_scale_linear(domain, range, interpolate, clamp) {
function d3_scale_linearRebind (line 7536) | function d3_scale_linearRebind(scale, linear) {
function d3_scale_linearNice (line 7539) | function d3_scale_linearNice(domain, m) {
function d3_scale_linearTickRange (line 7542) | function d3_scale_linearTickRange(domain, m) {
function d3_scale_linearTicks (line 7551) | function d3_scale_linearTicks(domain, m) {
function d3_scale_linearTickFormat (line 7554) | function d3_scale_linearTickFormat(domain, m, format) {
function d3_scale_linearPrecision (line 7582) | function d3_scale_linearPrecision(value) {
function d3_scale_linearFormatPrecision (line 7585) | function d3_scale_linearFormatPrecision(type, range) {
function d3_scale_log (line 7592) | function d3_scale_log(linear, base, positive, domain) {
function d3_scale_pow (line 7664) | function d3_scale_pow(linear, exponent, domain) {
function d3_scale_powPow (line 7698) | function d3_scale_powPow(e) {
function d3_scale_ordinal (line 7712) | function d3_scale_ordinal(domain, ranger) {
function d3_scale_quantile (line 7820) | function d3_scale_quantile(domain, range) {
function d3_scale_quantize (line 7856) | function d3_scale_quantize(x0, x1, range) {
function d3_scale_threshold (line 7890) | function d3_scale_threshold(domain, range) {
function d3_scale_identity (line 7916) | function d3_scale_identity(domain) {
function d3_zero (line 7938) | function d3_zero() {
function arc (line 7943) | function arc() {
function circleSegment (line 8016) | function circleSegment(r1, cw) {
function d3_svg_arcInnerRadius (line 8061) | function d3_svg_arcInnerRadius(d) {
function d3_svg_arcOuterRadius (line 8064) | function d3_svg_arcOuterRadius(d) {
function d3_svg_arcStartAngle (line 8067) | function d3_svg_arcStartAngle(d) {
function d3_svg_arcEndAngle (line 8070) | function d3_svg_arcEndAngle(d) {
function d3_svg_arcPadAngle (line 8073) | function d3_svg_arcPadAngle(d) {
function d3_svg_arcSweep (line 8076) | function d3_svg_arcSweep(x0, y0, x1, y1) {
function d3_svg_arcCornerTangents (line 8079) | function d3_svg_arcCornerTangents(p0, p1, r1, rc, cw) {
function d3_svg_line (line 8084) | function d3_svg_line(projection) {
function d3_svg_lineLinear (line 8151) | function d3_svg_lineLinear(points) {
function d3_svg_lineLinearClosed (line 8154) | function d3_svg_lineLinearClosed(points) {
function d3_svg_lineStep (line 8157) | function d3_svg_lineStep(points) {
function d3_svg_lineStepBefore (line 8163) | function d3_svg_lineStepBefore(points) {
function d3_svg_lineStepAfter (line 8168) | function d3_svg_lineStepAfter(points) {
function d3_svg_lineCardinalOpen (line 8173) | function d3_svg_lineCardinalOpen(points, tension) {
function d3_svg_lineCardinalClosed (line 8176) | function d3_svg_lineCardinalClosed(points, tension) {
function d3_svg_lineCardinal (line 8180) | function d3_svg_lineCardinal(points, tension) {
function d3_svg_lineHermite (line 8183) | function d3_svg_lineHermite(points, tangents) {
function d3_svg_lineCardinalTangents (line 8210) | function d3_svg_lineCardinalTangents(points, tension) {
function d3_svg_lineBasis (line 8220) | function d3_svg_lineBasis(points) {
function d3_svg_lineBasisOpen (line 8236) | function d3_svg_lineBasisOpen(points) {
function d3_svg_lineBasisClosed (line 8256) | function d3_svg_lineBasisClosed(points) {
function d3_svg_lineBundle (line 8275) | function d3_svg_lineBundle(points, tension) {
function d3_svg_lineDot4 (line 8288) | function d3_svg_lineDot4(a, b) {
function d3_svg_lineBasisBezier (line 8292) | function d3_svg_lineBasisBezier(path, x, y) {
function d3_svg_lineSlope (line 8295) | function d3_svg_lineSlope(p0, p1) {
function d3_svg_lineFiniteDifferences (line 8298) | function d3_svg_lineFiniteDifferences(points) {
function d3_svg_lineMonotoneTangents (line 8306) | function d3_svg_lineMonotoneTangents(points) {
function d3_svg_lineMonotone (line 8330) | function d3_svg_lineMonotone(points) {
function d3_svg_lineRadial (line 8339) | function d3_svg_lineRadial(points) {
function d3_svg_area (line 8350) | function d3_svg_area(projection) {
function chord (line 8440) | function chord(d, i) {
function subgroup (line 8444) | function subgroup(self, f, d, i) {
function equals (line 8454) | function equals(a, b) {
function arc (line 8457) | function arc(r, p, a) {
function curve (line 8460) | function curve(r0, p0, r1, p1) {
function d3_svg_chordRadius (line 8490) | function d3_svg_chordRadius(d) {
function diagonal (line 8495) | function diagonal(d, i) {
function d3_svg_diagonalProjection (line 8523) | function d3_svg_diagonalProjection(d) {
function d3_svg_diagonalRadialProjection (line 8533) | function d3_svg_diagonalRadialProjection(projection) {
function symbol (line 8541) | function symbol(d, i) {
function d3_svg_symbolSize (line 8556) | function d3_svg_symbolSize() {
function d3_svg_symbolType (line 8559) | function d3_svg_symbolType() {
function d3_svg_symbolCircle (line 8562) | function d3_svg_symbolCircle(size) {
function d3_selection_interruptNS (line 8611) | function d3_selection_interruptNS(ns) {
function d3_transition (line 8621) | function d3_transition(groups, ns, id) {
function d3_transition_tween (line 8693) | function d3_transition_tween(groups, name, value, tween) {
function attrNull (line 8707) | function attrNull() {
function attrNullNS (line 8710) | function attrNullNS() {
function attrTween (line 8713) | function attrTween(b) {
function attrTweenNS (line 8721) | function attrTweenNS(b) {
function attrTween (line 8733) | function attrTween(d, i) {
function attrTweenNS (line 8739) | function attrTweenNS(d, i) {
function styleNull (line 8757) | function styleNull() {
function styleString (line 8760) | function styleString(b) {
function styleTween (line 8772) | function styleTween(d, i) {
function d3_transition_text (line 8783) | function d3_transition_text(b) {
function d3_transitionNamespace (line 8863) | function d3_transitionNamespace(name) {
function d3_transitionNode (line 8866) | function d3_transitionNode(node, i, ns, id, inherit) {
function axis (line 8930) | function axis(g) {
function d3_svg_axisX (line 9025) | function d3_svg_axisX(selection, x0, x1) {
function d3_svg_axisY (line 9031) | function d3_svg_axisY(selection, y0, y1) {
function brush (line 9039) | function brush(g) {
function redraw (line 9125) | function redraw(g) {
function redrawX (line 9130) | function redrawX(g) {
function redrawY (line 9134) | function redrawY(g) {
function brushstart (line 9138) | function brushstart() {
function d3_time_formatIsoNative (line 9331) | function d3_time_formatIsoNative(date) {
function d3_time_scale (line 9378) | function d3_time_scale(linear, methods, format) {
function d3_time_scaleDate (line 9428) | function d3_time_scaleDate(t) {
function d3_json (line 9487) | function d3_json(request) {
function d3_html (line 9493) | function d3_html(request) {
FILE: inst/htmlwidgets/streamgraph.js
function iskey (line 178) | function iskey(key) {
function onselchange (line 230) | function onselchange() {
Condensed preview — 59 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (4,556K chars).
[
{
"path": ".Rbuildignore",
"chars": 177,
"preview": "^.*\\.Rproj$\n^\\.Rproj\\.user$\n^\\.travis\\.yml$\nREADME\\.md\nREADME\\.Rmd\nstreamgraph\\.Rmd\nstreamgraph\\.html\n^\\.example.png$\n^C"
},
{
"path": ".gitignore",
"chars": 72,
"preview": ".Rproj.user\n.Rhistory\n.RData\n.Rproj\nsrc/*.o\nsrc/*.so\nsrc/*.dll\ninst/doc\n"
},
{
"path": ".travis.yml",
"chars": 453,
"preview": "language: c\n\nbefore_install:\n - curl -OL http://raw.github.com/craigcitro/r-travis/master/scripts/travis-tool.sh\n - ch"
},
{
"path": "CONDUCT.md",
"chars": 1387,
"preview": "# Contributor Code of Conduct\n\nAs contributors and maintainers of this project, we pledge to respect all people who \ncon"
},
{
"path": "DESCRIPTION",
"chars": 1016,
"preview": "Package: streamgraph\nType: Package\nTitle: streamgraph is an htmlwidget for building streamgraph visualizations\nVersion: "
},
{
"path": "LICENSE",
"chars": 39,
"preview": "YEAR: 2015\nCOPYRIGHT HOLDER: Bob Rudis\n"
},
{
"path": "NAMESPACE",
"chars": 569,
"preview": "# Generated by roxygen2: do not edit by hand\n\nexport(\"%>%\")\nexport(renderStreamgraph)\nexport(sg_annotate)\nexport(sg_axis"
},
{
"path": "R/annotate.r",
"chars": 791,
"preview": ". <- NULL\n\n#' Add text annotation to streamgraph\n#'\n#' Use this function to place text at any point on a streamgraph. Th"
},
{
"path": "R/color.r",
"chars": 4921,
"preview": "#' Modify streamgraph colors\n#'\n#' Change the ColorBrewer palette being used\n#'\n#' @param sg streamgraph object\n#' @para"
},
{
"path": "R/legend.r",
"chars": 1227,
"preview": "\n#' Modify streamgraph legend properties\n#'\n#' If the \\code{streamgraph} is interactive, a \"legend\" can be added\n#' that"
},
{
"path": "R/marker.r",
"chars": 1137,
"preview": "\n#' Add a vertical marker (with optional label) to streamgraph\n#'\n#' This is useful for marking/labeling notable events "
},
{
"path": "R/phantom.R",
"chars": 1414,
"preview": "#' Make a thumbnail for an htmlwidget panel\n#'\n#' @param p htmlwidget object\n#' @param thumbPath where to save thumbnail"
},
{
"path": "R/sg_axis_x.r",
"chars": 1436,
"preview": "#' Modify streamgraph x axis formatting\n#'\n#' Change the tick interval, units and label text display format for the\n#' s"
},
{
"path": "R/sg_axis_y.r",
"chars": 1029,
"preview": "#' Modify streamgraph y axis formatting\n#'\n#' Change the tick count & format\n#'\n#' @param sg streamgraph object\n#' @para"
},
{
"path": "R/shiny.r",
"chars": 616,
"preview": "#' Widget output function for use in Shiny\n#'\n#' @param outputId outputId\n#' @param width width\n#' @param height height\n"
},
{
"path": "R/streamgraph-package.R",
"chars": 614,
"preview": "#' A package to make \\href{http://www.leebyron.com/else/streamgraph/}{streamgraphs}\n#' @name streamgraph-package\n#' @doc"
},
{
"path": "R/streamgraph.R",
"chars": 7283,
"preview": "#' Create a new streamgraph\n#'\n#' \\code{streamgraph()} initializes the streamgraph html widget\n#' and takes a data frame"
},
{
"path": "R/utils.R",
"chars": 2920,
"preview": "\n# taken from gplots pkg\ncol2hex <- function (cname) {\n colMat <- col2rgb(cname)\n rgb(red = colMat[1, ]/255, green = c"
},
{
"path": "README.Rmd",
"chars": 4319,
"preview": "---\ntitle: \"streamgraph\"\noutput:\n html_document:\n keep_md: true\n md_document:\n variant: markdown_github\n---\n\nstr"
},
{
"path": "README.html",
"chars": 706216,
"preview": "<!DOCTYPE html>\n\n<html xmlns=\"http://www.w3.org/1999/xhtml\">\n\n<head>\n\n<meta charset=\"utf-8\">\n<meta http-equiv=\"Content-T"
},
{
"path": "README.md",
"chars": 4110,
"preview": "# streamgraph\n\nstreamgraph is an htmlwidget for making, well, _streamgraphs_. \n\n\n\n[Sample Rmd](ht"
},
{
"path": "inst/htmlwidgets/lib/colorbrewer/LICENSE.txt",
"chars": 1710,
"preview": "Apache-Style Software License for ColorBrewer software and ColorBrewer Color\nSchemes\n\nCopyright (c) 2002 Cynthia Brewer,"
},
{
"path": "inst/htmlwidgets/lib/colorbrewer/colorbrewer.css",
"chars": 59899,
"preview": "/* This product includes color specifications and designs developed by Cynthia Brewer (http://colorbrewer.org/). */\n.YlG"
},
{
"path": "inst/htmlwidgets/lib/colorbrewer/colorbrewer.js",
"chars": 18990,
"preview": "// This product includes color specifications and designs developed by Cynthia Brewer (http://colorbrewer.org/).\nvar col"
},
{
"path": "inst/htmlwidgets/lib/d3/CONTRIBUTING.md",
"chars": 2485,
"preview": "# Contributing\n\nIf you’re looking for ways to contribute, please [peruse open issues](https://github.com/mbostock/d3/iss"
},
{
"path": "inst/htmlwidgets/lib/d3/LICENSE",
"chars": 1429,
"preview": "Copyright (c) 2010-2014, Michael Bostock\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with o"
},
{
"path": "inst/htmlwidgets/lib/d3/README.md",
"chars": 698,
"preview": "# Data-Driven Documents\n\n<a href=\"http://d3js.org\"><img src=\"http://d3js.org/logo.svg\" align=\"left\" hspace=\"10\" vspace=\""
},
{
"path": "inst/htmlwidgets/lib/d3/bower.json",
"chars": 372,
"preview": "{\n \"name\": \"d3\",\n \"version\": \"3.5.3\",\n \"main\": \"d3.js\",\n \"scripts\": [\n \"d3.js\"\n ],\n \"ignore\": [\n \".DS_Store\""
},
{
"path": "inst/htmlwidgets/lib/d3/d3.js",
"chars": 335294,
"preview": "!function() {\n var d3 = {\n version: \"3.5.6\"\n };\n var d3_arraySlice = [].slice, d3_array = function(list) {\n ret"
},
{
"path": "inst/htmlwidgets/lib/streamgraph/streamgraph.css",
"chars": 259,
"preview": ".axis path, .axis line {\n fill: none;\n stroke: #ffffff;\n stroke-width: 2px;\n shape-rendering: crispEdges;\n}\n\nsvg tex"
},
{
"path": "inst/htmlwidgets/streamgraph.js",
"chars": 9958,
"preview": "var dbg, dbg2, dbg3, dbgs, dbgy, dbgx;\n\nHTMLWidgets.widget({\n\n name: 'streamgraph',\n\n type: 'output',\n\n initialize: f"
},
{
"path": "inst/htmlwidgets/streamgraph.yaml",
"chars": 313,
"preview": "dependencies:\n- name: d3\n version: 3.5.3\n src: htmlwidgets/lib/d3\n script: d3.min.js\n- name: colorbrewer\n version: 1"
},
{
"path": "man/renderStreamgraph.Rd",
"chars": 385,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/shiny.r\n\\name{renderStreamgraph}\n\\alias{re"
},
{
"path": "man/sg_add_marker.Rd",
"chars": 891,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/marker.r\n\\name{sg_add_marker}\n\\alias{sg_ad"
},
{
"path": "man/sg_annotate.Rd",
"chars": 614,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/annotate.r\n\\name{sg_annotate}\n\\alias{sg_an"
},
{
"path": "man/sg_axis_x.Rd",
"chars": 1252,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/sg_axis_x.r\n\\name{sg_axis_x}\n\\alias{sg_axi"
},
{
"path": "man/sg_axis_y.Rd",
"chars": 1051,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/sg_axis_y.r\n\\name{sg_axis_y}\n\\alias{sg_axi"
},
{
"path": "man/sg_colors.Rd",
"chars": 1142,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/color.r\n\\name{sg_colors}\n\\alias{sg_colors}"
},
{
"path": "man/sg_fill_brewer.Rd",
"chars": 981,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/color.r\n\\name{sg_fill_brewer}\n\\alias{sg_fi"
},
{
"path": "man/sg_fill_manual.Rd",
"chars": 1211,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/color.r\n\\name{sg_fill_manual}\n\\alias{sg_fi"
},
{
"path": "man/sg_fill_tableau.Rd",
"chars": 1134,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/color.r\n\\name{sg_fill_tableau}\n\\alias{sg_f"
},
{
"path": "man/sg_legend.Rd",
"chars": 1255,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/legend.r\n\\name{sg_legend}\n\\alias{sg_legend"
},
{
"path": "man/sg_title.Rd",
"chars": 575,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/streamgraph.R\n\\name{sg_title}\n\\alias{sg_ti"
},
{
"path": "man/streamgraph-exports.Rd",
"chars": 392,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/streamgraph-package.R\n\\name{streamgraph-ex"
},
{
"path": "man/streamgraph-package.Rd",
"chars": 392,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/streamgraph-package.R\n\\docType{package}\n\\n"
},
{
"path": "man/streamgraph.Rd",
"chars": 3205,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/streamgraph.R\n\\name{streamgraph}\n\\alias{st"
},
{
"path": "man/streamgraphOutput.Rd",
"chars": 398,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/shiny.r\n\\name{streamgraphOutput}\n\\alias{st"
},
{
"path": "man/widgetThumbnail.Rd",
"chars": 371,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/phantom.R\n\\name{widgetThumbnail}\n\\alias{wi"
},
{
"path": "streamgraph.Rmd",
"chars": 2305,
"preview": "---\ntitle: \"streamgraph\"\noutput:\n html_document:\n keep_md: true\n md_document:\n variant: markdown_github\n---\n\n[Gi"
},
{
"path": "streamgraph.Rproj",
"chars": 405,
"preview": "Version: 1.0\n\nRestoreWorkspace: Default\nSaveWorkspace: Default\nAlwaysSaveHistory: Default\n\nEnableCodeIndexing: Yes\nUseSp"
},
{
"path": "streamgraph.html",
"chars": 1597179,
"preview": "<!DOCTYPE html>\n\n<html xmlns=\"http://www.w3.org/1999/xhtml\">\n\n<head>\n\n<meta charset=\"utf-8\">\n<meta http-equiv=\"Content-T"
},
{
"path": "streamgraph.md",
"chars": 481537,
"preview": "# streamgraph\n\n[GitHub repo](http://github.com/hrbrmstr/streamgraph)\n\n\n```r\nlibrary(streamgraph)\nlibrary(dplyr)\nlibrary("
},
{
"path": "tests/test-all.R",
"chars": 44,
"preview": "library(testthat)\ntest_check(\"streamgraph\")\n"
},
{
"path": "tests/testthat/ccasn.R",
"chars": 1255,
"preview": "library(streamgraph)\nlibrary(pbapply)\nlibrary(dplyr)\nlibrary(data.table)\n\nlogs <- list.files(\"/Users/bob/Development/tiq"
},
{
"path": "tests/testthat/sg.R",
"chars": 3393,
"preview": "library(streamgraph)\nlibrary(rvest)\nlibrary(magrittr)\nlibrary(dplyr)\n\ndat <- read.csv(\"data/vicstream.csv\", stringsAsFac"
},
{
"path": "tests/testthat/space.R",
"chars": 3241,
"preview": "library(streamgraph)\nlibrary(dplyr)\n\ndat <- read.table(text=\"date AllProperties Office oTotal Industrial oT"
},
{
"path": "tests/testthat/space.html",
"chars": 1098597,
"preview": "<!DOCTYPE html>\n\n<html xmlns=\"http://www.w3.org/1999/xhtml\">\n\n<head>\n\n<meta charset=\"utf-8\">\n<meta http-equiv=\"Content-T"
},
{
"path": "tests/testthat/test-streamgraph.R",
"chars": 123,
"preview": "context(\"basic functionality\")\ntest_that(\"we can do something\", {\n\n #expect_that(some_function(), is_a(\"data.frame\"))\n\n"
},
{
"path": "vignettes/introduction.Rmd",
"chars": 4451,
"preview": "---\ntitle: \"Introduction to the streamgraph Package\"\ndate: \"`r Sys.Date()`\"\noutput:\n rmarkdown::html_vignette:\n fig_"
}
]
About this extraction
This page contains the full source code of the hrbrmstr/streamgraph GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 59 files (4.2 MB), approximately 1.1M tokens, and a symbol index with 480 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.