R图分类变量和定量变量
R图分类变量和定量变量
提问于 2014-03-14 08:16:26
所以我有像这样的数据-
Neighborhood
Overall.Cond Blmngtn Blueste BrDale BrkSide ClearCr CollgCr Crawfor Edwards Gilbert Greens
1 0 0 0 0 0 0 0 1 0 0
2 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 1 0 2 12 0 0
4 0 0 0 1 2 0 3 6 0 0
5 14 1 9 15 15 163 20 53 87 3
6 0 7 3 21 6 15 19 32 8 2
7 0 0 1 33 6 9 16 22 3 0
8 0 0 0 7 3 5 8 7 1 0
9 0 0 0 1 0 0 5 1 0 0我想为每个邻域生成一个频率直方图-所以对于Blmngtn，我想要一个直方图来显示所有条件下的分布。
为此，我将上面的内容放在一个数据帧中，给出了这个
Overall.Cond Neighborhood Freq
1 1 Blmngtn 0
2 2 Blmngtn 0
3 3 Blmngtn 0
4 4 Blmngtn 0
5 5 Blmngtn 14
6 6 Blmngtn 0
7 7 Blmngtn 0如何为每个邻域生成直方图(使用任一数据格式)？
回答 1
Stack Overflow用户
发布于 2014-03-14 08:45:59
# Your data
df <- read.table(text="Overall.Cond Blmngtn Blueste BrDale BrkSide ClearCr
CollgCr Crawfor Edwards Gilbert Greens
1 0 0 0 0 0 0 0 1 0 0
2 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 1 0 2 12 0 0
4 0 0 0 1 2 0 3 6 0 0
5 14 1 9 15 15 163 20 53 87 3
6 0 7 3 21 6 15 19 32 8 2
7 0 0 1 33 6 9 16 22 3 0
8 0 0 0 7 3 5 8 7 1 0
9 0 0 0 1 0 0 5 1 0 0",
header=T)
names(df) <- tolower(names(df))
# Get frequency for each neighbourhood
# I am assuming that overall.cond is the outcome and the neighbourhood frequencies
# indicate how many times these are observed
# i.e. for Blmngtn you want a histogram of c(5,5,5,5,5,5,5,5,5,5,5,5,5,5) [ie. 5, 14 times]
l <- lapply(df[,2:11] , function(i) rep(df$overall.cond , i))
# Plot histograms (the first nine neighbourhoods)
par(mfrow=c(3,3))
for(i in 1:9) {
hist(l[[i]] , main = names(l[i]))
}
# Plot barplots
par(mfrow=c(3,3))
for(i in 1:9) {
barplot(table(l[[i]]) , main = names(l[i]))
}页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/22393726
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