Sorry I don't have example code for this question.
对不起,我没有这个问题的示例代码。
All I want to know is if it is possible to create multiple side-by-side boxplots in R representing different columns/variables within my data frame. Each boxplot would also only represent a single variable--I would like to set the y-scale to a range of (0,6).
我想知道的是,是否可以在R中创建多个并排的箱图,表示我的数据框中的不同列/变量。每个箱图也只代表一个变量 - 我想将y标度设置为(0,6)的范围。
If this isn't possible, how can I use something like the panel option in ggplot2 if I only want to create a boxplot using a single variable? Thanks!
如果这是不可能的,如果我只想使用单个变量创建一个boxplot,如何使用ggplot2中的panel选项?谢谢!
Ideally, I want something like the image below but without factor grouping like in ggplot2. Again, each boxplot would represent completely separate and single columns.
理想情况下,我想要像下面的图像,但没有像ggplot2那样的因子分组。同样,每个箱图将代表完全独立的单列。
2 个解决方案
#1
5
ggplot2 requires that your data to be plotted on the y-axis are all in one column.
ggplot2要求您在y轴上绘制的数据都在一列中。
Here is an example:
这是一个例子:
set.seed(1)
df <- data.frame(
value = runif(810,0,6),
group = 1:9
)
df
library(ggplot2)
ggplot(df, aes(factor(group), value)) + geom_boxplot() + coord_cartesian(ylim = c(0,6)
The ylim(0,6) sets the y-axis to be between 0 and 6
ylim(0,6)将y轴设置在0和6之间
If your data are in columns, you can get them into the longform using melt from reshape2 or gather from tidyr. (other methods also available).
如果您的数据是在列中,您可以使用reshape2中的melt或从tidyr收集来将它们放入longform中。 (也可提供其他方法)。
#2
5
You can do this if you reshape your data into long format
如果将数据重新整形为长格式,则可以执行此操作
## Some sample data
dat <- data.frame(a=rnorm(100), b=rnorm(100), c=rnorm(100))
## Reshape data wide -> long
library(reshape2)
long <- melt(dat)
plot(value ~ variable, data=long)
#1
5
ggplot2 requires that your data to be plotted on the y-axis are all in one column.
ggplot2要求您在y轴上绘制的数据都在一列中。
Here is an example:
这是一个例子:
set.seed(1)
df <- data.frame(
value = runif(810,0,6),
group = 1:9
)
df
library(ggplot2)
ggplot(df, aes(factor(group), value)) + geom_boxplot() + coord_cartesian(ylim = c(0,6)
The ylim(0,6) sets the y-axis to be between 0 and 6
ylim(0,6)将y轴设置在0和6之间
If your data are in columns, you can get them into the longform using melt from reshape2 or gather from tidyr. (other methods also available).
如果您的数据是在列中,您可以使用reshape2中的melt或从tidyr收集来将它们放入longform中。 (也可提供其他方法)。
#2
5
You can do this if you reshape your data into long format
如果将数据重新整形为长格式,则可以执行此操作
## Some sample data
dat <- data.frame(a=rnorm(100), b=rnorm(100), c=rnorm(100))
## Reshape data wide -> long
library(reshape2)
long <- melt(dat)
plot(value ~ variable, data=long)