animint | R Documentation |
Create an animated, interactive data visualization. The easiest way to get started is by reading the Animint2 Manual, https://rcdata.nau.edu/genomic-ml/animint2-manual/Ch02-ggplot2.html
animint(...)
... |
ggplots and options |
This function creates a list with the items in ... and attaches the animint class. It also provides default names for un-named ggplots. The list should contain ggplots and options. Each geom can be made interactive by using the showSelected and clickSelects parameters; each should be a character vector of selection variable names. For example geom_line(clickSelects="country") means that clicking the line changes the value of the "country" selection variable; geom_point(showSelected="year") means to only show the subset of data for the currently selected year.
list of class animint
Toby Dylan Hocking
if(require('data.table'))setDTthreads(1)#for CRAN.
library(animint2)
data(WorldBank, package="animint2")
years <- unique(WorldBank[, "year", drop=FALSE])
y1960 <- subset(WorldBank, year==1960)
animint(
title="Linked scatterplot and time series", #web page title.
time=list(variable="year",ms=3000), #variable and time delay used for animation.
duration=list(year=1000), #smooth transition duration in milliseconds.
selector.types=list(country="multiple"), #single/multiple selection for each variable.
first=list( #selected values to show when viz is first rendered.
country=c("Canada", "Japan"),
year=1970),
## ggplots are rendered together for an interactive data viz.
ts=ggplot()+
theme_animint(width=500)+
make_tallrect(WorldBank, "year")+
geom_text(aes(
year, life.expectancy, label=country),
showSelected="country",
clickSelects="country",
hjust=1,
data=y1960)+
scale_x_continuous(limits=c(1950, NA))+
geom_line(aes(
year, life.expectancy, group=country, color=region),
clickSelects="country",
data=WorldBank,
size=4,
alpha=0.55),
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,
key=country,
label=country),
showSelected=c("country", "year"),
data=WorldBank)+
geom_text(aes(
5, 80, key=1, label=paste("year =", year)),
showSelected="year",
data=years)+
scale_size_animint(pixel.range=c(2,20), breaks=10^(4:9)))
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