R ggplot2 boxplot从10个文件 [英] R ggplot2 boxplot from 10 files
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问题描述
我有4个文件,分别称为 0_X_cell.csv,0_S_cell.csv和15_X_cell.csv,15_S_cell.csv
格式:
p U:0 U:1 U:2 Tracer Tracer_0 U_0:0
-34.014 0.15268 -3.7907 -0.20155 10.081 10.032 0.12454
-33.836 0.07349 -2.1457 -0.30531 27.706 27.278 0.076542
我想为 Tracer / 3600
,并使用 ggplot2
将它们放在同一个图表上,但我发现它并不那么直截了当。任何建议将不胜感激:
I 'm认为它可能是这样的:
- 从所有文件导入数据到不同的变量:
- 从每一个提取Tracer并放入data.frame中。
- 绘制每列Tracer / 3600的箱形图。但每一列都会被称为Tracer ...
正确的程序是什么?
z< / p> ; - list.files(pattern =。* cell \\.csv $)
z < - lapply(1:length(z),function(x){chars < - strsplit(z [ x],_);
cbind(data.frame(Tracer = read.csv(z [x])$ Tracer),time = chars [[1]] [1],treatment = chars [ 1]] [2])})
z< - do.call(rbind,z)
然后绘制它:
library(ggplot2)
ggplot(z,aes(y = Tracer / 3600,x = factor(time)))+ geom_boxplot(aes(fill = factor(treatment)))+ ylab(Tracer)
I have 4 files each called 0_X_cell.csv, 0_S_cell.csv and 15_X_cell.csv, 15_S_cell.csv
of the format:
p U:0 U:1 U:2 Tracer Tracer_0 U_0:0
-34.014 0.15268 -3.7907 -0.20155 10.081 10.032 0.12454
-33.836 0.07349 -2.1457 -0.30531 27.706 27.278 0.076542
I'd like to create boxplots out of the values for Tracer/3600
and put them on the same graph using ggplot2
but I'm finding it not quite so straightforward. Any suggestions would be much appreciated:
I'm thinking it might something like this:
- Import data from all files into separate variables:
- Extract Tracer from each one and put into a data.frame
- Plot the boxplots of every column Tracer/3600. But each column will be called Tracer...
What would the correct procedure be?
解决方案
To read in the data from your dir:
z <- list.files(pattern = ".*cell\\.csv$")
z <- lapply(1:length(z), function(x) {chars <- strsplit(z[x], "_");
cbind(data.frame(Tracer = read.csv(z[x])$Tracer), time = chars[[1]][1], treatment = chars[[1]][2])})
z <- do.call(rbind, z)
Then plot it:
library(ggplot2)
ggplot(z, aes(y = Tracer/3600, x = factor(time))) +geom_boxplot(aes(fill = factor(treatment))) + ylab("Tracer")
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