I am trying to replicate this with R ggplot. I have exactly the same data:
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I created a general purpose donuts plot function to do this, which could
panel
and colorize each circular sector by given percentage pctr
and colors
cols. The ring width could be tuned by outradius
>radius
>innerradius
. The main function actually draw a bar chart and bend it into a ring, hence it is something between a pie chart and a bar chart.
Example Pie Chart, two rings:
Browser Pie Chart
donuts_plot <- function(
panel = runif(3), # counts
pctr = c(.5,.2,.9), # percentage in count
legend.label='',
cols = c('chartreuse', 'chocolate','deepskyblue'), # colors
outradius = 1, # outter radius
radius = .7, # 1-width of the donus
add = F,
innerradius = .5, # innerradius, if innerradius==innerradius then no suggest line
legend = F,
pilabels=F,
legend_offset=.25, # non-negative number, legend right position control
borderlit=c(T,F,T,T)
){
par(new=add)
if(sum(legend.label=='')>=1) legend.label=paste("Series",1:length(pctr))
if(pilabels){
pie(panel, col=cols,border = borderlit[1],labels = legend.label,radius = outradius)
}
panel = panel/sum(panel)
pctr2= panel*(1 - pctr)
pctr3 = c(pctr,pctr)
pctr_indx=2*(1:length(pctr))
pctr3[pctr_indx]=pctr2
pctr3[-pctr_indx]=panel*pctr
cols_fill = c(cols,cols)
cols_fill[pctr_indx]='white'
cols_fill[-pctr_indx]=cols
par(new=TRUE)
pie(pctr3, col=cols_fill,border = borderlit[2],labels = '',radius = outradius)
par(new=TRUE)
pie(panel, col='white',border = borderlit[3],labels = '',radius = radius)
par(new=TRUE)
pie(1, col='white',border = borderlit[4],labels = '',radius = innerradius)
if(legend){
# par(mar=c(5.2, 4.1, 4.1, 8.2), xpd=TRUE)
legend("topright",inset=c(-legend_offset,0),legend=legend.label, pch=rep(15,'.',length(pctr)),
col=cols,bty='n')
}
par(new=FALSE)
}
## col- > subcor(change hue/alpha)
subcolors <- function(.dta,main,mainCol){
tmp_dta = cbind(.dta,1,'col')
tmp1 = unique(.dta[[main]])
for (i in 1:length(tmp1)){
tmp_dta$"col"[.dta[[main]] == tmp1[i]] = mainCol[i]
}
u <- unlist(by(tmp_dta$"1",tmp_dta[[main]],cumsum))
n <- dim(.dta)[1]
subcol=rep(rgb(0,0,0),n);
for(i in 1:n){
t1 = col2rgb(tmp_dta$col[i])/256
subcol[i]=rgb(t1[1],t1[2],t1[3],1/(1+u[i]))
}
return(subcol);
}
### Then get the plot is fairly easy:
# INPUT data
browsers <- structure(list(browser = structure(c(3L, 3L, 3L, 3L, 2L, 2L,
2L, 1L, 5L, 5L, 4L),
.Label = c("Chrome", "Firefox", "MSIE","Opera", "Safari"),class = "factor"),
version = structure(c(5L,6L, 7L, 8L, 2L, 3L, 4L, 1L, 10L, 11L, 9L),
.Label = c("Chrome 10.0", "Firefox 3.5", "Firefox 3.6", "Firefox 4.0", "MSIE 6.0",
"MSIE 7.0","MSIE 8.0", "MSIE 9.0", "Opera 11.x", "Safari 4.0", "Safari 5.0"),
class = "factor"),
share = c(10.85, 7.35, 33.06, 2.81, 1.58,13.12, 5.43, 9.91, 1.42, 4.55, 1.65),
ymax = c(10.85, 18.2, 51.26,54.07, 55.65, 68.77, 74.2, 84.11, 85.53, 90.08, 91.73),
ymin = c(0,10.85, 18.2, 51.26, 54.07, 55.65, 68.77, 74.2, 84.11, 85.53,90.08)),
.Names = c("browser", "version", "share", "ymax", "ymin"),
row.names = c(NA, -11L), class = "data.frame")
## data clean
browsers=browsers[order(browsers$browser,browsers$share),]
arr=aggregate(share~browser,browsers,sum)
### choose your cols
mainCol = c('chartreuse3', 'chocolate3','deepskyblue3','gold3','deeppink3')
donuts_plot(browsers$share,rep(1,11),browsers$version,
cols=subcolors(browsers,"browser",mainCol),
legend=F,pilabels = T,borderlit = rep(F,4) )
donuts_plot(arr$share,rep(1,5),arr$browser,
cols=mainCol,pilabels=F,legend=T,legend_offset=-.02,
outradius = .71,radius = .0,innerradius=.0,add=T,
borderlit = rep(F,4) )
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