Saya menduga bahwa geom_tile
dari paket tersebut ggplot2
dapat melakukan apa yang Anda cari. Jawaban Shane pada pertanyaan StackOverflow ini seharusnya membantu Anda memulai.
Sunting: Berikut ini contohnya, dengan beberapa plot lain untuk perbandingan.
library(ggplot2)
# Here's some data I had lying around
tb <- structure(list(region = c("Africa", "Asia", "Latin America",
"Other", "US-born"), ncases = c(36L, 34L, 56L, 2L, 44L)), .Names = c("region",
"ncases"), row.names = c(NA, -5L), class = "data.frame")
# A bar chart of counts
ggplot(tb, aes(x = region, weight = ncases, fill = region)) +
geom_bar()
# Pie chart. Forgive me, Hadley, for I must sin.
ggplot(tb, aes(x = factor(1), weight = ncases, fill = region)) +
geom_bar(width = 1) +
coord_polar(theta = "y") +
labs(x = "", y = "")
# Percentage pie.
ggplot(tb, aes(x = factor(1), weight = ncases/sum(ncases), fill = region)) +
geom_bar() +
scale_y_continuous(formatter = 'percent') +
coord_polar(theta = "y") +
labs(x = "", y = "")
# Waffles
# How many rows do you want the y axis to have?
ndeep <- 5
# I need to convert my data into a data.frame with uniquely-specified x
# and y coordinates for each case
# Note - it's actually important to specify y first for a
# horizontally-accumulating waffle
# One y for each row; then divide the total number of cases by the number of
# rows and round up to get the appropriate number of x increments
tb4waffles <- expand.grid(y = 1:ndeep,
x = seq_len(ceiling(sum(tb$ncases) / ndeep)))
# Expand the counts into a full vector of region labels - i.e., de-aggregate
regionvec <- rep(tb$region, tb$ncases)
# Depending on the value of ndeep, there might be more spots on the x-y grid
# than there are cases - so fill those with NA
tb4waffles$region <- c(regionvec, rep(NA, nrow(tb4waffles) - length(regionvec)))
# Plot it
ggplot(tb4waffles, aes(x = x, y = y, fill = region)) +
geom_tile(color = "white") + # The color of the lines between tiles
scale_fill_manual("Region of Birth",
values = RColorBrewer::brewer.pal(5, "Dark2")) +
opts(title = "TB Cases by Region of Birth")
Jelas, ada pekerjaan tambahan yang harus dilakukan untuk mendapatkan estetika yang benar (misalnya, apa artinya kapak itu?), Tapi itulah mekanismenya. Saya meninggalkan "cantik" sebagai latihan untuk pembaca.