我有一些这样的数据:
myd <- structure(list(var1 = structure(1:4, .Label = c("II", "III",
"IV", "V"), class = "factor"), zero_co = c(15.15152, 3.030303,
0, 0), non_zero_CO = c(84.84848, 96.969697, 100, 100), size = c(230,
813, 317, 1532)), .Names = c("var1", "zero_co", "non_zero_CO",
"size"), row.names = c(NA, -4L), class = "data.frame")
# myd
# I II III IV V
# zero_co 15.15152 3.030303 0 0
# non-zero CO 84.84848 96.969697 100 100
# size 230.00000 813.000000 317 1532
我想在y轴上绘制size
,在x轴上绘制其他两个变量zero_co
和non-zero CO
作为堆叠条。我试图使用gplots
和ggplots
绘制此图,但发现有困难。我该如何策划?
答案 0 :(得分:4)
如果我理解正确,这是一个解决方案。由于您在x轴和y轴都有定量变量,因此您无法使用条形图。你需要使用矩形(无论如何看起来像吧。)
myd <- data.frame (var1 = c("II", "III", "IV", "V"), zero_co = c(15.15152 , 3.030303, 0, 0),
non_zero_CO = c(84.84848, 96.969697, 100, 100),
size = c(230.00000, 813.000000, 317, 1532))
require(ggplot2)
ggplot(myd) + geom_rect(aes(xmin = 0, xmax = zero_co, ymin =size , ymax =size + 80 ), fill = "lightgreen") +
geom_rect(aes(xmin = zero_co, xmax = zero_co + non_zero_CO, ymin =size , ymax =size + 80 ), fill = "darkblue") + theme_bw()
给你情节:
答案 1 :(得分:3)
基于我有限的理解,我可以在这里找到:
myd <- data.frame (var1 = c("II", "III", "IV", "V"), zero_co = c(15.15152 , 3.030303, 0, 0),
non_zero_CO = c(84.84848, 96.969697, 100, 100),
size = c(230.00000, 813.000000, 317, 1532))
myd1 <- as.matrix (t(myd[,2:3]))
barplot(myd1)
答案 2 :(得分:1)
我不确定你希望最终的情节如何,但这是一个ggplot2
提案。
首先,将数据重新整形为长格式:
library(reshape2)
myd_long <- melt(myd, measure.vars = c("zero_co", "non_zero_CO"))
计算绝对值(我假设value
代表size
的百分比。):
myd_long <- within(myd_long, valueAbs <- size * value / 100)
简介:
library(ggplot2)
ggplot(myd_long, aes(y = valueAbs, x = var1, fill = variable)) +
geom_bar(stat = "identity")