将误差线添加到多行以显示R中绘图的标准偏差

Question

我有一个包含许多不同行的情节，我想在每一行的每个点上添加误差条。

arrows

我尝试使用stdev <- matrix(runif(25,0,0.1),5,5) A <- as.data.frame(df) + as.data.frame(stdev) B <- as.data.frame(df) - as.data.frame(stdev) mapply(arrows(1:5,A,1:5,B,col=cols,angle=90,length=0.03, code=3)) 功能，但没有成功。

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有什么建议吗？

Answer 1

arrows是一个矢量化函数。因此有可能避免mapply电话。考虑一下（我还用mapply替换了您的第一个matplot电话：

## generate example data
set.seed(0)
mat <- matrix(runif(25), 5, 5)  ## data to plot
stdev <- matrix(runif(25,0,0.1), 5, 5)  ## arbitrary standard error
low <- mat - stdev  ##  lower bound
up <- mat + stdev  ## upper bound

x <- seq(0,1,1/4)  ## x-locations to plot against
## your colour setting; should have `ncol(mat)` colours
## as an example I just use `cols = 1:ncol(mat)`
cols <- 1:ncol(mat)
## plot each column of `mat` one by one (set y-axis limit appropriately)
matplot(x, mat, col = cols, pch = 1:5, type = "o", ylim = c(min(low), max(up)))
xx <- rep.int(x, ncol(mat))  ## recycle `x` for each column of `mat`
repcols <- rep(cols, each = nrow(mat))  ## recycle `col` for each row of `mat`
## adding error bars using vectorization power of `arrow`
arrows(xx, low, xx, up, col = repcols, angle = 90, length = 0.03, code = 3)

Answer 2

使用ggplot：

set.seed(123) # for reproducibility
data <- as.data.frame(matrix(runif(25),5,5))     # sample data matrix
se <- as.data.frame(matrix(runif(25,0,0.1),5,5)) # SE matrix
data$line <- se$line <- as.factor(1:nrow(data))
library(reshape2)
data <- melt(data, id='line')
se <- melt(se, id='line')
data$ymax <- data$value + se$value
data$ymin <- data$value - se$value
library(ggplot2)
ggplot(data, aes(variable, value, group=line, color=line)) + geom_point() + geom_line() + 
  geom_errorbar(aes(ymax=ymax, ymin=ymin), width=0.25) + xlab('points')