Compile and render an animint in a local directory.
This function converts an animint plot.list into a directory of files which can be used to render the interactive data visualization in a web browser.
animint2dir( plot.list, out.dir = NULL, json.file = "plot.json", open.browser = interactive(), css.file = "" )
plot.list |
a named list of ggplots and option lists. |
out.dir |
directory to store html/js/csv files. If it exists already, it will be removed before writing the new directory/files. |
json.file |
character string that names the JSON file with metadata associated with the plot. |
open.browser |
Should R open a browser? If yes, be sure to configure your browser to allow access to local files, as some browsers block this by default (e.g. chrome). |
css.file |
character string for non-empty css file to include. Provided file will be copied to the output directory as styles.css |
invisible list of ggplots in list format.
## Make a Gapminder plot (aka Google motion chart), which is actually ## just a scatterplot with size and color that moves over time. library(animint2) data(WorldBank) gapminder <- list(title="Linked scatterplot and time series", ts=ggplot()+ make_tallrect(WorldBank, "year")+ geom_line(aes(year, life.expectancy, group=country, color=region), clickSelects="country", data=WorldBank, size=4, alpha=3/5), time=list(variable="year",ms=3000), duration=list(year=1000), scatter=ggplot()+ geom_point(aes(fertility.rate, life.expectancy, key=country, colour=region, size=population), showSelected="year", clickSelects="country", data=WorldBank)+ geom_text(aes(fertility.rate, life.expectancy, label=country), showSelected=c("country", "year"), data=WorldBank)+ make_text(WorldBank, 5, 80, "year")+ scale_size_animint(pixel.range=c(2,20), breaks=10^(4:9))) animint2dir(gapminder) data(worldPop) ## Linked bar and line plots of world population by subcontinent, ## inspired by polychartjs. popPlots <- list(bars=ggplot()+ geom_bar(aes(x=subcontinent, y=population), clickSelects="subcontinent", showSelected="year", data=worldPop, stat="identity", position="identity")+ ## This make_text creates a geom_text that shows the current ## selected value of the year variable. make_text(worldPop, 1, 3e6, "year")+ coord_flip(), lines=ggplot()+ ## This make_tallrect tiles the background of the lineplot with ## rects that can be clicked to select the year variable. make_tallrect(worldPop, "year")+ ## This geom_point does not have aes(clickSelects) so its alpha ## transparency behaves normally: all points have alpha=1/4. geom_point(aes(year, population, colour=type), data=worldPop, size=4, alpha=1/4)+ ## This geom_line DOES have aes(clickSelects) so only the ## selected line has the specified alpha=3/4. The other ## unselected lines have 0.5 less (alpha=1/4). geom_line(aes(year, population, group=subcontinent), clickSelects="subcontinent", data=worldPop, size=4, alpha=3/4)) animint2dir(popPlots) ## Make it animated by specifying year as the variable to animate and ## an interval of 2000 milliseconds between animation frames. popAnim <- c(popPlots, list(time=list(variable="year",ms=2000))) animint2dir(popAnim) ## Make the animation smooth by specifying a duration of 1000 ms for ## geoms with aes(showSelected=year). popSmooth <- c(popAnim, list(duration=list(year=1000))) animint2dir(popSmooth)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.