如何绘制小提琴散点箱线图(R)?

搞笑情节或多或少做了我认为应该做的事情。根据自己的需要进行调整,可能会进行一些优化,但这应该是一个很好的开始。

Make.Funny.Plot <- function(x){
    unique.vals <- length(unique(x))
    N <- length(x)
    N.val <- min(N/20,unique.vals)

    if(unique.vals>N.val){
      x <- ave(x,cut(x,N.val),FUN=min)
      x <- signif(x,4)
    }
    # construct the outline of the plot
    outline <- as.vector(table(x))
    outline <- outline/max(outline)

    # determine some correction to make the V shape,
    # based on the range
    y.corr <- diff(range(x))*0.05

    # Get the unique values
    yval <- sort(unique(x))

    plot(c(-1,1),c(min(yval),max(yval)),
        type="n",xaxt="n",xlab="")

    for(i in 1:length(yval)){
        n <- sum(x==yval[i])
        x.plot <- seq(-outline[i],outline[i],length=n)
        y.plot <- yval[i]+abs(x.plot)*y.corr
        points(x.plot,y.plot,pch=19,cex=0.5)
    }
}

N <- 500
x <- rpois(N,4)+abs(rnorm(N))
Make.Funny.Plot(x)

编辑:更正,所以它总是工作。

我最近碰到 the beeswarm package ,这有一些相似之处。

一维散点图 非重叠点。

  library(beeswarm)
  beeswarm(time_survival ~ event_survival, data = breast,
    method = 'smile',
    pch = 16, pwcol = as.numeric(ER),
    xlab = '', ylab = 'Follow-up time (months)',
    labels = c('Censored', 'Metastasis'))
  legend('topright', legend = levels(breast$ER),
    title = 'ER', pch = 16, col = 1:2)

_{(来源: eklund at www.cbs.dtu.dk )}

示例代码(有时抛出警告,但有效):

px<-function(x,N=40,...){
x<-sort(x);

#Cutting in bins
cut(x,N)->p;

#Calculate the means over bins
sapply(levels(p),function(i) mean(x[p==i]))->meansl;
means<-meansl[p];

#Calculate the mins over bins
sapply(levels(p),function(i) min(x[p==i]))->minl;
mins<-minl[p];

#Each dot is one value.
#X is an order of a value inside bin, moved so that the values lower than bin mean go below 0
X<-rep(0,length(x));
for(e in levels(p)) X[p==e]<-(1:sum(p==e))-1-sum((x-means)[p==e]<0);
#Y is a bin minum + absolute value of a difference between value and its bin mean
plot(X,mins+abs(x-means),pch=19,cex=0.5,...);
}

试试这个 vioplot

library(vioplot)
vioplot(rnorm(100))

(使用可怕的默认颜色;-)

wvioplot 包装,用于加权小提琴图,以及 beanplot lattice 包装,见 ?panel.violin .

既然还没有提到这一点,还有 ggbeeswarm 作为一个基于ggplot2的相对较新的R包。

它将另一个geom添加到ggplot中,以代替geom\u jitter等。

特别地 几何学

值得注意的还有包裹 vipor

set.seed(12345)
install.packages('ggbeeswarm')
library(ggplot2)
library(ggbeeswarm)

ggplot(iris,aes(Species, Sepal.Length)) + geom_beeswarm()

ggplot(iris,aes(Species, Sepal.Length)) + geom_quasirandom()

#compare to jitter
ggplot(iris,aes(Species, Sepal.Length)) + geom_jitter()