如何将多个ggplot2对象以相同的比例组合起来 [英] How to combine multiple ggplot2 objects on the same scale
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问题描述
pre $ lt; code> mymatrix1 < - matrix(data = 0,nrow = 105,ncol = 2)
mymatrix2 < - 矩阵(数据= 0,nrow = 108,ncol = 2)
mymatrix3 < - 矩阵(数据= 0,nrow = 112,ncol = 2)
mymatrix1 [,1]< - sample(0:1,105,replace = TRUE)
mymatrix1 [,2]< - rorm(105,52,2)
mymatrix2 [ ,1] < - 样本(0:1,108,替换= TRUE)
mymatrix2 [,2] < - rnorm(108,60,2)
mymatrix3 [,1]<示例(0:1,112,replace = TRUE)
mymatrix3 [,2]< - rnorm(112,70,2)
for(i in 1:3){colnames (mydata [[i]])<-c(class,readcount)}
mydata< - list(mymatrix1,mymatrix2,mymatrix3)
$ c
$ b我得到mydata [[1]]的图表,因为我需要它使用以下内容:
qplot(class,readcount,data = as.data.frame(mydata [[1]]),geom =boxplot,fill = factor(class))+
geom_jitter(position = position_jitter(w = 0.1,h = 0.1))+
scale_x_continuous(中断= c(0,1),labels = c(0,1))
现在,我将如何获得彼此相邻的所有箱形图(如此遍历列表)?使用grid.arrange?但是,这会给我不同的规模......如果我想要相同的规模呢?有人可以同时显示吗?
解决方案
查看 facet_wrap
。
library(ggplot2)
mymatrix1 < - matrix(data = 0,nrow = 105,ncol = 2 )
mymatrix2 < - 矩阵(数据= 0,nrow = 108,ncol = 2)
mymatrix3 < - 矩阵(数据= 0,nrow = 112,ncol = 2)
$ b $ mymatrix1 [,1] < - sample(0:1,105,replace = TRUE)
mymatrix1 [,2] < - rnorm(105,52,2)
mymatrix2 [ 1] < - sample(0:1,108,replace = TRUE)
mymatrix2 [,2] < - rnorm(108,60,2)
mymatrix3 [,1]< - sample (0,1,112,replace = TRUE)
mymatrix3 [,2] < - rnorm(112,70,2)
mydata < - list(mymatrix1,mymatrix2,mymatrix3 )
(i在1:3){
mydata [[i]] < - cbind(mydata [[i]],i)
colnames(mydata [ [i]])< - c(class,readcount,group)
}
mydata< - as.data.frame(do .call(rbind,mydata))
##固定比例
p < - qplot(class,readcount,data = mydat一个geom =boxplot,fill = factor(class))+
geom_jitter(position = position_jitter(w = 0.1,h = 0.1))+
scale_x_continuous(breaks = c(0,1) ,标签= c(0,1))+
facet_wrap(〜group)
## free scales
p + facet_wrap(〜group, scale =free)
Suppose I have the following data:
mymatrix1 <- matrix(data = 0, nrow = 105, ncol =2)
mymatrix2 <- matrix(data = 0, nrow = 108, ncol =2)
mymatrix3 <- matrix(data = 0, nrow = 112, ncol =2)
mymatrix1[,1] <- sample(0:1, 105, replace= TRUE)
mymatrix1[,2] <- rnorm(105, 52, 2)
mymatrix2[,1] <- sample(0:1, 108, replace= TRUE)
mymatrix2[,2] <- rnorm(108, 60, 2)
mymatrix3[,1] <- sample(0:1, 112, replace= TRUE)
mymatrix3[,2] <- rnorm(112, 70, 2)
for(i in 1:3){ colnames(mydata[[i]]) <- c("class", "readcount") }
mydata <- list(mymatrix1, mymatrix2,mymatrix3)
I get the plot for mydata[[1]] as I want it using the following:
qplot(class, readcount, data = as.data.frame(mydata[[1]]), geom="boxplot", fill = factor(class))+
geom_jitter(position=position_jitter(w=0.1,h=0.1))+
scale_x_continuous(breaks=c(0,1), labels=c("0", "1"))
Now, how would I get all the box plots next to each other (so iterate over the list)? Using grid.arrange? But that would give me different scales... what if I wanted the same scale? Can someone show both?
解决方案
Check out facet_wrap
.
library(ggplot2)
mymatrix1 <- matrix(data = 0, nrow = 105, ncol =2)
mymatrix2 <- matrix(data = 0, nrow = 108, ncol =2)
mymatrix3 <- matrix(data = 0, nrow = 112, ncol =2)
mymatrix1[,1] <- sample(0:1, 105, replace= TRUE)
mymatrix1[,2] <- rnorm(105, 52, 2)
mymatrix2[,1] <- sample(0:1, 108, replace= TRUE)
mymatrix2[,2] <- rnorm(108, 60, 2)
mymatrix3[,1] <- sample(0:1, 112, replace= TRUE)
mymatrix3[,2] <- rnorm(112, 70, 2)
mydata <- list(mymatrix1, mymatrix2,mymatrix3)
for(i in 1:3){
mydata[[i]] <- cbind(mydata[[i]], i)
colnames(mydata[[i]]) <- c("class", "readcount", "group")
}
mydata <- as.data.frame(do.call(rbind, mydata))
## fixed scales
p <- qplot(class, readcount, data = mydata, geom="boxplot", fill = factor(class)) +
geom_jitter(position=position_jitter(w=0.1,h=0.1)) +
scale_x_continuous(breaks=c(0,1), labels=c("0", "1")) +
facet_wrap(~ group)
## free scales
p + facet_wrap(~ group, scales = "free")
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