我在下面为此制作了一个快速示例数据框。基本上我想创建一个线图,平均值为一条线,该线周围的阴影代表值的范围。我意识到我可能不得不找到最小/最大行,但我不确定如何为行执行此操作,也不知道我将如何绘制这个
TEST <- data.frame(a=c(1,5,7,2), b=c(3,8,2,5), c=c(6,10,2,1))
TEST$mean <- rowMeans(TEST)
任何帮助表示赞赏 - 谢谢
使用 base R 也可能很容易完成,但这里有一个ggplot
方法
为轴添加Min
和Max
和一些索引x
TEST <- transform(TEST, Min = pmin(a,b,c), Max = pmax(a,b,c), indx = seq_len(dim(TEST)[1]))
绘图,使用geom_ribbon
library(ggplot2)
ggplot(TEST) +
geom_line(aes(indx, mean), group = 1) +
geom_ribbon(aes(x = indx, ymax = Max, ymin = Min), alpha = 0.6, fill = "skyblue")
只是为了添加另一个选项,这是一个仅使用基础 R 的可能解决方案:
TEST <- data.frame(a=c(1,5,7,2), b=c(3,8,2,5), c=c(6,10,2,1))
# compute mean, min and max of rows
means <- rowMeans(TEST)
maxs <- apply(TEST,1,max)
mins <- apply(TEST,1,min)
# create x-coordinates
xcoords <- 1:nrow(TEST)
# create an empty plot to make space for everything
plot(x=c(min(xcoords),max(xcoords)),y=c(min(mins),max(maxs)),
type="n", main="Average",xlab="X",ylab="Y")
# add min-max ranges (color is DodgerBlue with 80/255 of opacity,
# for rgb values of colors see http://en.wikipedia.org/wiki/Web_colors)
rangecolor <- rgb(30,144,255,alpha=80,maxColorValue=255)
polygon(x=c(xcoords,rev(xcoords)),y=c(maxs,rev(means)),col=rangecolor,border=NA)
polygon(x=c(xcoords,rev(xcoords)),y=c(mins,rev(means)),col=rangecolor,border=NA)
# add average line (black)
meancolor <- "black"
lines(x=xcoords,y=means,col=meancolor)
结果 :
为了将来重用,您还可以将其包装成一个有用的函数:
plotLineWithRange <- function(x, yVal, yMin, yMax,
lineColor="Black", rangeColor="LightBlue",
main="", xlab="X", ylab="Y"){
if(missing(x)){
x <- 1:length(yVal)
}
stopifnot(length(yVal) == length(yMin) && length(yVal) == length(yMax))
plot(x=c(min(x),max(x)),y=c(min(yMin),max(yMax)),type="n", main=main,xlab=xlab,ylab=ylab)
polygon(x=c(x,rev(x)),y=c(yMax,rev(yVal)),col=rangeColor,border=NA)
polygon(x=c(x,rev(x)),y=c(yMin,rev(yVal)),col=rangeColor,border=NA)
lines(x=x,y=yVal,col=lineColor)
}
# usage example:
plotLineWithRange(yVal=means,yMin=mins,yMax=maxs,main="Average")