ggplot2 gráfico circular y de donas en la misma gráfica

Editar 2

Mi respuesta original es realmente tonta. Aquí hay una versión mucho más corta que hace la mayor parte del trabajo con una interfaz mucho más simple.

#' x      numeric vector for each slice
#' group  vector identifying the group for each slice
#' labels vector of labels for individual slices
#' col    colors for each group
#' radius radius for inner and outer pie (usually in [0,1])

donuts <- function(x, group = 1, labels = NA, col = NULL, radius = c(.7, 1)) {
  group <- rep_len(group, length(x))
  ug  <- unique(group)
  tbl <- table(group)[order(ug)]

  col <- if (is.null(col))
    seq_along(ug) else rep_len(col, length(ug))
  col.main <- Map(rep, col[seq_along(tbl)], tbl)
  col.sub  <- lapply(col.main, function(x) {
    al <- head(seq(0, 1, length.out = length(x) + 2L)[-1L], -1L)
    Vectorize(adjustcolor)(x, alpha.f = al)
  })

  plot.new()

  par(new = TRUE)
  pie(x, border = NA, radius = radius[2L],
      col = unlist(col.sub), labels = labels)

  par(new = TRUE)
  pie(x, border = NA, radius = radius[1L],
      col = unlist(col.main), labels = NA)
}

par(mfrow = c(1,2), mar = c(0,4,0,4))
with(browsers,
     donuts(share, browser, sprintf('%s: %s%%', version, share),
            col = c('cyan2','red','orange','green','dodgerblue2'))
)

with(mtcars,
     donuts(mpg, interaction(gear, cyl), rownames(mtcars))
)

Post original

Ustedes no tienen givemedonutsorgivemedeath función? Los gráficos base son siempre el camino a seguir para cosas muy detalladas como esta. Sin embargo, no se me ocurrió una forma elegante de trazar las etiquetas del pastel central.

givemedonutsorgivemedeath('~/desktop/donuts.pdf') 

Da me

Tenga en cuenta que en ?pie se ve

Pie charts are a very bad way of displaying information.

Código:

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")

browsers$total <- with(browsers, ave(share, browser, FUN = sum))

givemedonutsorgivemedeath <- function(file, width = 15, height = 11) {
  ## house keeping 
  if (missing(file)) file <- getwd()
  plot.new(); op <- par(no.readonly = TRUE); on.exit(par(op))

  pdf(file, width = width, height = height, bg = 'snow')

  ## useful values and colors to work with
  ## each group will have a specific color
  ## each subgroup will have a specific shade of that color
  nr <- nrow(browsers)
  width <- max(sqrt(browsers$share)) / 0.8

  tbl <- with(browsers, table(browser)[order(unique(browser))])
  cols <- c('cyan2','red','orange','green','dodgerblue2')
  cols <- unlist(Map(rep, cols, tbl))

  ## loop creates pie slices
  plot.new()
  par(omi = c(0.5,0.5,0.75,0.5), mai = c(0.1,0.1,0.1,0.1), las = 1)
  for (i in 1:nr) {
    par(new = TRUE)

    ## create color/shades
    rgb <- col2rgb(cols[i])
    f0 <- rep(NA, nr)
    f0[i] <- rgb(rgb[1], rgb[2], rgb[3], 190 / sequence(tbl)[i], maxColorValue = 255)

    ## stick labels on the outermost section
    lab <- with(browsers, sprintf('%s: %s', version, share))
    if (with(browsers, share[i] == max(share))) {
      lab0 <- lab
    } else lab0 <- NA

    ## plot the outside pie and shades of subgroups
    pie(browsers$share, border = NA, radius = 5 / width, col = f0, 
        labels = lab0, cex = 1.8)

    ## repeat above for the main groups
    par(new = TRUE)
    rgb <- col2rgb(cols[i])
    f0[i] <- rgb(rgb[1], rgb[2], rgb[3], maxColorValue = 255)

    pie(browsers$share, border = NA, radius = 4 / width, col = f0, labels = NA)
  }

  ## extra labels on graph

  ## center labels, guess and check?
  text(x = c(-.05, -.05, 0.15, .25, .3), y = c(.08, -.12, -.15, -.08, -.02), 
       labels = unique(browsers$browser), col = 'white', cex = 1.2)

  mtext('Browser market share, April 2011', side = 3, line = -1, adj = 0, 
        cex = 3.5, outer = TRUE)
  mtext('stackoverflow.com:::maryam', side = 3, line = -3.6, adj = 0,
        cex = 1.75, outer = TRUE, font = 3)
  mtext('/questions/26748069/ggplot2-pie-and-donut-chart-on-same-plot',
        side = 1, line = 0, adj = 1.0, cex = 1.2, outer = TRUE, font = 3)
  dev.off()
}

givemedonutsorgivemedeath('~/desktop/donuts.pdf')

Editar 1

width <- 5

tbl <- table(browsers$browser)[order(unique(browsers$browser))]
col.main <- Map(rep, seq_along(tbl), tbl)
col.sub  <- lapply(col.main, function(x)
  Vectorize(adjustcolor)(x, alpha.f = seq_along(x) / length(x)))

plot.new()

par(new = TRUE)
pie(browsers$share, border = NA, radius = 5 / width,
    col = unlist(col.sub), labels = browsers$version)

par(new = TRUE)
pie(browsers$share, border = NA, radius = 4 / width,
    col = unlist(col.main), labels = NA)

Creé una función de trazado de donuts de propósito general para hacer esto, que podría

• Dibujar la gráfica de anillo, es decir, dibujar la gráfica circular para panel y colorear cada sector circular por un porcentaje dado pctr y colors cols. El ancho del anillo podría ser ajustado por outradius>radius>innerradius.
• Superponga varios gráficos de anillos juntos.

La función principal en realidad dibuja un gráfico de barras y lo dobla en un anillo, por lo tanto, es algo entre un gráfico circular y un gráfico de barras.

Ejemplo de Pastel Gráfico, dos anillos:

Gráfico circular del navegador

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) )
###end of line

La solución de@rawr es realmente agradable, sin embargo, las etiquetas se superpondrán si hay demasiadas. Inspirado por @user3969377 y @FlorianGD , obtuve una nueva solución usando ggplot2 y ggrepel.

1. preparar datos

browsers$ymax <- cumsum(browsers$share) # fed to geom_rect() in piedonut()
browsers$ymin <- browsers$ymax - browsers$share # fed to geom_rect() in piedonut()

browsers$share_browser <- sum(browsers$share[browsers$browser == unique(browsers$browser)[1]]) # "_browser" means at browser level
browsers$ymax_browser <- browsers$share_browser[browsers$browser == unique(browsers$browser)[1]][1]
for (z in 2:length(unique(browsers$browser))) {
  browsers$share_browser[browsers$browser == unique(browsers$browser)[z]] <- sum(browsers$share[browsers$browser == unique(browsers$browser)[z]])
  browsers$ymax_browser[browsers$browser == unique(browsers$browser)[z]] <- browsers$ymax_browser[browsers$browser == unique(browsers$browser)[z-1]][1] + browsers$share_browser[browsers$browser == unique(browsers$browser)[z]][1]
}
browsers$ymin_browser <- browsers$ymax_browser - browsers$share_browser

2. escribe la función piedonut

piedonut <- function(data, cols = c('cyan2','red','orange','green','dodgerblue2'), force = 80, nudge_x = 3, nudge_y = 10) { # force, nudge_x, nudge_y are parameters to fine tune positions of the labels by geom_label_repel.
  nr <- nrow(data)
  # width <- max(sqrt(data$share)) / 0.1

  tbl <- with(data, table(browser)[order(unique(browser))])
  cols <- unlist(Map(rep, cols, tbl))
  col_subnum <- unlist(Map(rep, 255/tbl,tbl))

  col <- rep(NA, nr)
  col_browser <- rep(NA, nr)
  for (i in 1:nr) {
    ## create color/shades
    rgb <- col2rgb(cols[i])
    col[i] <- rgb(rgb[1], rgb[2], rgb[3],  col_subnum[i]*sequence(tbl)[i], maxColorValue = 255)

    rgb <- col2rgb(cols[i])
    col_browser[i] <- rgb(rgb[1], rgb[2], rgb[3], maxColorValue = 255)
  }
  #col
  # set labels positions
  x.breaks <- seq(1, 1.8, length.out = nr)
  y.breaks <- cumsum(data$share)-data$share/2
  ggplot(data) +
    geom_rect(aes(ymax = ymax, ymin = ymin, xmax=4, xmin=1), fill=col) +
    geom_rect(aes(ymax=ymax_browser, ymin=ymin_browser, xmax=1, xmin=0), fill=col_browser) +
    coord_polar(theta = 'y') +
    theme(axis.ticks = element_blank(),
          axis.title = element_blank(),
          axis.text = element_blank(),
          panel.grid = element_blank(),
          panel.background = element_blank()) +
    geom_label_repel(aes(x = x.breaks, y = y.breaks, label = sprintf("%s: %s%%",data$version, data$share)),
                     force = force,
                     nudge_x = nudge_x,
                     nudge_y = nudge_y)
}

3. obtener el piedonut

cols <- c('cyan2','red','orange','green','dodgerblue2')

pdf('~/Downloads/donuts.pdf', width = 10, height = 10, bg = "snow")
par(omi = c(0.5,0.5,0.75,0.5), mai = c(0.1,0.1,0.1,0.1), las = 1)
print(piedonut(data = browsers, cols = cols, force = 80, nudge_x = 3, nudge_y = 10))
dev.off()

Puede obtener algo similar usando el paquete ggsunburst

# using your data without "ymax" and "ymin"
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)), .Names = c("parent", "node", "size")
, row.names = c(NA, -11L), class = "data.frame")

# add column browser to be used for colouring
browsers$browser <- browsers$parent

# write data.frame into csv file
write.table(browsers, file = 'browsers.csv', row.names = F, sep = ",")

# install ggsunburst
if (!require("ggplot2")) install.packages("ggplot2")
if (!require("rPython")) install.packages("rPython")
install.packages("http://genome.crg.es/~didac/ggsunburst/ggsunburst_0.0.9.tar.gz", repos=NULL, type="source")
library(ggsunburst)

# generate data structure
sb <- sunburst_data('browsers.csv', type = 'node_parent', sep = ",", node_attributes = c("browser","size"))

# add name as browser attribute for colouring to internal nodes
sb$rects[!sb$rects$leaf,]$browser <- sb$rects[!sb$rects$leaf,]$name

# plot adding geom_text layer for showing the "size" value
p <- sunburst(sb, rects.fill.aes = "browser", node_labels = T, node_labels.min = 15)
p + geom_text(data = sb$leaf_labels,
    aes(x=x, y=0.1, label=paste(size,"%"), angle=angle, hjust=hjust), size = 2)