Package 'anim.plots'

Title: Simple Animated Plots for R
Description: Simple animated versions of basic R plots, using the 'animation' package. Includes animated versions of plot, barplot, persp, contour, filled.contour, hist, curve, points, lines, text, symbols, segments, and arrows.
Authors: David Hugh-Jones <[email protected]>
Maintainer: David Hugh-Jones <[email protected]>
License: GPL-2
Version: 0.2.2
Built: 2024-07-13 02:49:33 UTC
Source: https://github.com/hughjonesd/anim.plots

Help Index


anim.plots: simple animated plots For R

Description

anim.plots provides simple animated versions of basic R plots, using the 'animation' package. It includes animated versions of plot, barplot, persp, contour, filled.contour, hist, curve, points, lines, text, symbols, segments, and arrows.

Details

For more information, run vignette('anim.plots-stub'), or check the vignette out on the web at https://hughjonesd.github.io/anim.plots/anim.plots.html.

Be aware that anim.plots is just a simple wrapper around Yihui Xie's "animation" package. You may want to consider more modern solutions such as gganimate.


Create an animated barplot.

Description

Create an animated barplot.

Usage

anim.barplot(...)

## Default S3 method:
anim.barplot(
  height,
  times = NULL,
  show = TRUE,
  speed = 1,
  use.times = TRUE,
  window = t,
  window.process = NULL,
  width = 1,
  space = NULL,
  names.arg = NULL,
  beside = FALSE,
  density = NULL,
  angle = NULL,
  col = NULL,
  border = NULL,
  horiz = FALSE,
  xlim = NULL,
  ylim = NULL,
  xlab = NULL,
  ylab = NULL,
  main = NULL,
  sub = NULL,
  offset = NULL,
  legend.text = NULL,
  ...
)

Arguments

height

a vector, matrix or array. If a vector it is divided up by times and barplot is called on each chunk. If a matrix, barplot is called on each column. If an array, barplot is called on each matrix of form height[,,i].

times

a vector of times. If NULL and height is a matrix, the last dimension of height will be used

show, speed, use.times, window, window.process

see anim.plot

width, space, beside, names.arg, density, angle, col, border, horiz, xlim, ylim, xlab, ylab, main, sub, offset, legend.text, ...

arguments passed to barplot.

Details

Arguments width, names.arg, density, angle, col, border and offset may be either vectors of length length(tbl) or matrices with one column for each unique value of times. Other arguments should be length 1 or vectors.

Examples

anim.barplot(1:100, times=rep(1:10, each=10), ylim=c(0,100))
## barplot with a matrix
ChickWeight$wq <- cut(ChickWeight$weight, 5)
tbl <- as.array(xtabs(~ wq + Diet + Time, data=ChickWeight))
ptbl <- prop.table(tbl, 2:3)
anim.barplot(ptbl, xlab="Diet", ylab="N", xlim=c(0,8), legend.text=paste(
     "Quintile", 1:5), col=1:5)
anim.barplot(tbl, xlab="Diet", ylab="N", beside=TRUE, ylim=c(0,20),
   legend.text=paste("Quintile", 1:5), col=1:5)

Create an animated contour plot or perspective plot

Description

Create an animated contour plot or perspective plot of 3D data.

Usage

anim.contour(...)

anim.filled.contour(...)

## Default S3 method:
anim.filled.contour(...)

anim.persp(...)

## Default S3 method:
anim.contour(
  x,
  y,
  z,
  times,
  speed = 1,
  use.times = TRUE,
  window = t,
  window.process = NULL,
  show = TRUE,
  fn = contour,
  ...
)

Arguments

x, y, z, ...

arguments passed to contour or persp

times, speed, use.times, window, window.process, show

see anim.plot for details.

fn

underlying function to use.

Examples

tmp <- volcano
tmp[] <- 200 - ((row(tmp) - 43)^2 + (col(tmp) - 30)^2)/20
cplot <- array(NA, dim=c(87,61,20))
cplot[,,1] <- tmp
cplot[,,20] <- volcano
cplot <- apply(cplot, 1:2, function(x) seq(x[1], x[20], length.out=20))
cplot <- aperm(cplot, c(2,3,1))
anim.contour(z=cplot, times=1:20, speed=3, levels=80 + 1:12*10, lty=c(1,2,2))
anim.filled.contour(z=cplot, times=1:20, speed=3, levels=80 + 1:12*10, 
   color.palette=terrain.colors)
   
cplot2 <- apply(cplot, 1:2, function(x) seq(0, x[20], length.out=20))
cplot2 <- aperm(cplot2, c(2,3,1))
anim.persp(z=cplot2, times=1:20, xlab="", ylab="", zlab="Height", phi=45,
theta=30, speed=5, border=NA, r=3, col="yellowgreen", shade=.5, box=FALSE)

Draw an animated curve.

Description

This function is the animated version of curve.

Usage

anim.curve(expr, x = NULL, from = 0, to = 1, n = 255, times, type = "l", ...)

Arguments

expr

a function which takes two arguments, or an expression involving x and t.

x

values of x at which the function will be evaluated in each frame. Alternatively, you may specify from, to and n.

from, to

endpoints of x

n

number of values of x at which the function will be evaluated for each frame

times

vector of values of t at which the function will be evaluated. Each unique value creates a single animation frame.

type, ...

parameters passed to anim.plot.default

Details

Note that times is interpreted differently here than elsewhere. In particular, it cannot be a length-1 vector.

Examples

anim.curve(x^t, times=10:50/10, n=20)
anim.curve(sin(x*t), times=1:30, n=100, speed=12, col="darkgreen", from=-1, to=1)

## curve is constant in t, but window moves. 
## NB: 'from' and 'to' control where the expression is evaluated. 
## 'xlim' just controls the window.
anim.curve(sin(cos(-x)*exp(x/2)), times=0:100/10, from=-5, to=10, n=500, 
     col="red", lwd=2, xlim=rbind(top <- seq(-5, 10, 1/10), top+5))

Draw an animated histogram.

Description

Draw an animated histogram.

Usage

anim.hist(
  x,
  times,
  speed = 1,
  show = TRUE,
  use.times = TRUE,
  window = t,
  window.process = NULL,
  density = NULL,
  angle = NULL,
  col = NULL,
  border = NULL,
  ...
)

Arguments

x, density, angle, col, border, ...

parameters passed to hist.

times, show, speed, use.times, window, window.process

see anim.plot.

Details

Parameters x, density, angle, col and border are all "chunked", i.e. first recycled to the length of times or x (whichever is longer), then split according to the unique values of times. See anim.plot for more details.

Examples

anim.hist(rep(rnorm(5000), 7), times=rep(1:7, each=5000), 
     breaks=c(5,10,20,50,100,200, 500, 1000))

Create an animated plot.

Description

anim.plot

Usage

anim.plot(...)

anim.points(...)

anim.lines(...)

anim.text(...)

## Default S3 method:
anim.plot(
  x,
  y = NULL,
  times = 1:length(x),
  speed = 1,
  show = TRUE,
  use.times = TRUE,
  window = if (identical(fn, lines)) t:(t + 1) else t,
  window.process = NULL,
  xlim = NULL,
  ylim = NULL,
  col = par("col"),
  xaxp = NULL,
  yaxp = NULL,
  pch = par("pch"),
  cex = 1,
  labels = NULL,
  asp = NULL,
  lty = par("lty"),
  lwd = par("lwd"),
  fn = plot,
  ...
)

## S3 method for class 'formula'
anim.plot(
  formula,
  data = parent.frame(),
  subset = NULL,
  fn = plot,
  window = t,
  ...
)

## Default S3 method:
anim.points(...)

## Default S3 method:
anim.lines(...)

## Default S3 method:
anim.text(...)

anim.symbols(...)

## S3 method for class 'formula'
anim.points(formula, ...)

## S3 method for class 'formula'
anim.lines(formula, ...)

## S3 method for class 'formula'
anim.text(formula, ...)

Arguments

x, y

vectors of x and y coordinates. These can be passed in any way accepted by xy.coords.

times

a vector of times. If times is length one, there will be that many frames, equally divided over the length of x and y.

speed

animation speed.

show

if false, do not show plot; just return calls.

use.times

if TRUE, animation speed is determined by the times argument. If FALSE, animation speed is constant.

window

what window of times to show in each animation. The default, t, shows just plots from time t. To draw a plot incrementally, use window=1:t.

window.process

function to call on each window of each times. See details.

xlim, ylim, col, pch

arguments passed to plot.

labels, cex, lty, lwd

as above.

asp, xaxp, yaxp, ...

as above.

fn

function called to create each frame.

formula

a formula of the form y ~ x + time.

data

a data frame from where the values in formula should be taken.

subset

a vector specifying which rows of data to use.

Details

Each unique level of times will generate a single frame of animation. The frames will be ordered by times.

In general:

  • Parameters that apply to each point of the plot, such as xlim, ylim, col, pch, labels and cex, can be passed as vectors which will be recycled to length(times).

  • Parameters that apply to the plot as a whole, and always have length 1, such as xlab and main, can be passed as vectors and will be recycled to the number of frames.

  • Parameters that apply to the plot as a whole, and can have length > 1, such as xlim and ylim, can be passed as vectors or matrices. If vectors, the same vector will be passed to every frame. If matrices, column i will be passed to the i'th frame.

window.process should be a function which takes two arguments: a list of potential arguments for the underlying call to plot, and a vector of times. The function should return the list of arguments after modification. This allows e.g. drawing "trails" of plot points. See the example

Examples

x <- rep(1:100/10, 10)
times <- rep(1:10, each=100)
y <- sin(x*times/4)
anim.plot(x,y,times, type="l", col="orange", lwd=2)

## changing colours - a per-point parameter
anim.plot(x,y,times, ylab="Sine wave", type="p", col=rainbow(100)[x *10])

## changing line width - a whole-plot parameter
anim.plot(x, y, times, lwd=1:10, type="l")
          
## times as a single number
anim.plot(1:10, 1:10, times=5)
           
## incremental plot
anim.plot(1:10, 1:10, window=1:t)

## moving window
anim.plot(1:10, 1:10, window=(t-2):t)

## Formula interface
ChickWeight$chn <- as.numeric(as.factor(ChickWeight$Chick))
tmp <- anim.plot(weight ~ chn + Time, data=ChickWeight, col=as.numeric(Diet), 
     pch=as.numeric(Diet), speed=3)

# adding extra arguments:
replay(tmp, after=legend("topleft", legend=paste("Diet", 1:4), pch=1:4, col=1:4))
 
 ## Zooming in:
 x <- rnorm(4000); y<- rnorm(4000)
 x <- rep(x, 10); y <- rep(y, 10)
 xlims <- 4*2^(-(1:10/10))
 ylims <- xlims <- rbind(xlims, -xlims) 
 anim.plot(x, y, times=10, speed=5, xlim=xlims, ylim=ylims, 
       col=rgb(0,0,0,.3), pch=19)
 
 ## window.process to create a faded "trail":
 anim.plot(1:50, 1:50, speed=12, window=t:(t+5), 
       window.process=function(args, times){
         times <- times - min(times) 
         alpha <- times/max(times)
         alpha[is.na(alpha)] <- 1
         args$col <- rgb(0,0,0, alpha)
         return(args)
       })
       
 ## gapminder plot:
 pl <- palette(adjustcolor(rainbow(23), 1, .6, .6, .6, 
       offset=c(0,0,0,-0.1)))
 anim.plot(lifex ~ GDP + year, data=gm_data, log="x", 
      cex=sqrt(pop)*0.0004, pch=19, col=region, xlab="GDP", 
      ylab="Life expectancy", speed=10, subset=year > 1850 & !year %% 5)
 palette(pl)
 
 ## Not run: 
 ## Earthquakes this week
 if (require('maps')) {
   eq = read.table(
       file="http://earthquake.usgs.gov/earthquakes/catalogs/eqs7day-M1.txt", 
       fill=TRUE, sep=",", header=TRUE)
   eq$time <- as.numeric(strptime(eq$Datetime, "%A, %B %d, %Y %X UTC"))
 eq <- eq[-1,]
   map('world')
   maxdepth <- max(max(eq$Depth), 200)
   tmp <- anim.points(Lat ~ Lon + time, data=eq, cex=Magnitude, col=rgb(
         1-Depth/maxdepth, 0, Depth/maxdepth,.7), pch=19, speed=3600*12, 
         show=FALSE)   
   replay(tmp, before=map('world', fill=TRUE, col="wheat"))
 }
 
 
 ## Minard's plot
 if (require('maps')) {
   map('world', xlim=c(22, 40), ylim=c(52,58))
   title("March of the Grande Armee on Moscow")
   points(cities$long, cities$lat, pch=18)
   text(cities$long, cities$lat, labels=cities$city, pos=4, cex=.7)
   with(troops[troops$group==1,], anim.lines(x=long, 
         y=lat, window=t:(t+1), speed=3, lwd=survivors/10000))
}

## End(Not run)

Save an anim.frames object in various formats.

Description

This function simply calls replay on the object and then calls saveGIF and friends on the result.

Usage

anim.save(
  obj,
  filename,
  type = switch(file_ext(filename), gif = "GIF", mp4 = "Video", swf = "SWF", html =
    "HTML", tex = "Latex"),
  ...
)

Arguments

obj

an anim.frames object, or an expression to evaluate

filename

file to save to

type

one of 'GIF', 'Video', 'SWF', 'HTML', or 'Latex'

...

arguments passed to e.g. saveGIF

Examples

## Not run: 
tmp <- anim.plot(1:10, 1:10, pch=1:10, show=FALSE)
anim.save(tmp, "mygif.gif")

anim.save(replay(tmp, after=legend("topleft", legend="My legend")), 
   "mygif2.gif")

## End(Not run)

Draw an animation of line segments or arrows.

Description

Draw an animation of line segments or arrows.

Usage

anim.segments(
  x0,
  y0,
  x1 = NULL,
  y1 = NULL,
  times = NULL,
  speed = 1,
  show = TRUE,
  use.times = TRUE,
  window = t,
  window.process = NULL,
  fn = segments,
  col = NULL,
  lty = NULL,
  lwd = NULL,
  ...
)

anim.arrows(..., length = 0.25, angle = 30, code = 2)

anim.segmentplot(...)

anim.arrowplot(...)

Arguments

x0, y0, x1, y1, col, lty, lwd, length, angle, code, ...

arguments passed to segments or arrows

times, speed, show, use.times, window, window.process

see anim.plot for details

fn

underlying function to use

Details

anim.segments and anim.arrows draw lines on to an existing plot. If you want to redraw the plot between each frame, use anim.arrowplot or anim.segmentplot.

If both x1 and y1 are missing, then segments are plotted from the current time to the following time in each frame. If only x1 is missing it is set equal to x0, similarly if only y1 is missing.

Examples

anim.segments(x0=rep(1:5, 5), y0=rep(1:5, each=5), y1=rep(2:6, each=5), 
     times=rep(1:5, each=5) )
 
## Short version
anim.arrowplot(rep(1:5, 5), rep(1:5, each=5), times=5)

if (require('maps')) {
   hr <- subset(hurricanes, lat > 0 & lat < 50 & lon > -95 & lon < -20 & 
         Shour %% 6 == 0)
   hr$dlat <- cos(hr$diruv/360*2*pi) * hr$maguv / 8
   hr$dlon <- sin(hr$diruv/360*2*pi) * hr$maguv / 8
   hr$name <- sub("\\s+$", "", hr$name)
   map('world', xlim=c(-95,-20), ylim=c(0,50))
   title("Hurricanes, 2009")
   with(hr[!duplicated(hr$name),], text(lon, lat, 
         labels=paste0(name, "\n", Yr), cex=0.8))
   with(hr, anim.arrows(x0=lon, y0=lat, y1=lat+dlat, x1=lon+dlon, 
         times=Shour, speed=12, col=rgb(0,0,1,0.8), length=.1, lwd=2)) 
}

Smooth an anim.frames object

Description

Some export formats ignore information in the times attribute and plot frames at constant speed. anim.smooth creates a smoothed version of the anim.frames object with frames at constant intervals, suitable for export.

Usage

anim.smooth(x, fps = 10)

Arguments

x

an anim.frames object

fps

how many frames per second to smooth to

Details

Note that plot parameters such as x and y positions are not interpolated. If you want your whole animation to look smoother, you have to do the work yourself using e.g.approx.

If you smooth to a large value of fps, the animations may look bad in R because they overtax the graphics engine. They should still look good when saved, though.

Value

A smoothed anim.frames object, with the speed attribute equal to fps.

Examples

accel <- anim.plot(1, 1:30, times=sqrt(1:30))
## Not run: 
anim.save(accel, "GIF", "wrong.gif")

## End(Not run)
accel <- anim.smooth(accel, fps=20)
## Not run: 
anim.save(accel, "GIF", "better.gif")

## End(Not run)

Cities near the Grande Armee's march on Moscow

Description

Cities near the Grande Armee's march on Moscow


Gapminder GDP, life expectancy and population data

Description

Gapminder GDP, life expectancy and population data

Source

http://gapminder.org


Wind speed data for hurricanes in 2009

Description

Wind speed data for hurricanes in 2009

Source

http://myweb.fsu.edu/jelsner/Data.html


Merge anim.frames objects

Description

Merge two or more anim.frames objects to create a new anim.frames object

Usage

## S3 method for class 'anim.frames'
merge(..., speed = NULL)

Arguments

...

anim.frames objects returned from, e.g. anim.plot

speed

speed for the merged object. This may be left unspecified only if all objects have the same speed.

Details

If two or more calls in the merged animation are at the same time, calls from the earlier object in ... will be run first.

If you merge two animations from anim.plot, plot.window will be called before each frame of the merged animation. This may not be what you want. Instead, use anim.points or similar for all but the first animation.

Examples

tmp <- anim.plot(1:5, 1:5, speed=2)
tmp2 <- anim.plot(1:5, 5:1, col="red", speed=2)
## Not what you want:
replay(merge(tmp, tmp2))

## better:
tmp3 <- anim.points(1:5, 5:1,col="red", speed=2)
newf <- merge(tmp, tmp3)
replay(newf)
## NB: result of the merge looks different from the two
## individual animations

## not the same:
newf2 <- merge(tmp2, tmp) 
## points will be called before plot!
replay(newf2)

Data from 20 rounds of a public goods game with punishment

Description

A 2x3x20 array of data from a laboratory public goods game. Dimensions are Picked (was subject picked for punishment?), Contribution (of subject: Non-unique lowest, Not lowest/all same and Unique lowest), and Period.

Details

Provided by the package author.


Replay an anim.frames object

Description

Replay all or some of the frames of an object.

Usage

replay(...)

## S3 method for class 'anim.frames'
replay(
  x,
  frames = 1:length(x),
  speed = attr(x, "speed"),
  after = NULL,
  before = NULL,
  ...
)

## S3 method for class 'anim.frames'
plot(x, ...)

Arguments

...

other arguments (not currently used)

x

an anim.frames object

frames

numeric vector specifying which frames to replay

speed

a new speed

after

an expression to evaluate after each frame is plotted

before

an expression to evaluate before each frame is plotted

Details

before and after will have the arguments from the frame's call available in their environment - see the example.

The plot method simply calls replay.

Examples

myplot <- anim.plot(1:10, 1:10, speed=3)
replay(myplot, speed=5)
replay(myplot, frames=c(1,5,6,10))

myplot <- anim.plot(x<-rnorm(100), x+rnorm(100,0,3), 20, window=1:t, 
     show=FALSE, main="Regressions as sample size increases")
replay(myplot, after=abline(lm(y~x), col="red"))

Temperatures for the Grande Armee's march on Moscow

Description

Temperatures for the Grande Armee's march on Moscow


Troop numbers for the Grande Armee's march on Moscow

Description

Troop numbers for the Grande Armee's march on Moscow