R语言利用ggplot2绘制QQ图和箱线图详解 R语言利用ggplot2绘制QQ图和箱线

绘制qq图

函数介绍
例子

绘制boxplot

函数介绍
例子
利用分位点绘制箱线图

将QQ图和箱线图进行融合

函数介绍
参数介绍
注意事项
例子

绘制qq图在ggplot2中绘制qq图需要两步，geom_qq()将绘制样本分位点，geom_qq_line()将绘制标准正态线

函数介绍
geom_qq()

geom_qq(mapping = NULL,data = https://www.it610.com/article/NULL,geom ="point",position = "identity",...,distribution = stats::qnorm,dparams = list(),na.rm = FALSE,show.legend = NA,inherit.aes = TRUE)

geom_qq_line(mapping = NULL,data = https://www.it610.com/article/NULL,geom ="path",position = "identity",...,distribution = stats::qnorm,dparams = list(),line.p = c(0.25, 0.75),fullrange = FALSE,na.rm = FALSE,show.legend = NA,inherit.aes = TRUE)

参数介绍
**aes()**中的映射参数必须包含sample，可选参数有group,x,y distribution

Distribution function to use, if x not specified
dparams Additional parameters passed on to distribution function.
line.p Vector of quantiles to use when fitting the Q-Q line, defaults defaults to c(.25, .75).
fullrange Should the q-q line span the full range of the plot, or just the data

注意事项
**aes()**中的映射参数必须包含sample

例子
Using to explore the distribution of a variable

ggplot(mtcars, aes(sample = mpg)) +stat_qq() +stat_qq_line()ggplot(mtcars, aes(sample = mpg, colour = factor(cyl))) +stat_qq() +stat_qq_line()

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绘制boxplot 函数介绍

geom_boxplot(mapping = NULL,data = https://www.it610.com/article/NULL,stat ="boxplot",position = "dodge2",...,outlier.colour = NULL,outlier.color = NULL,outlier.fill = NULL,outlier.shape = 19,outlier.size = 1.5,outlier.stroke = 0.5,outlier.alpha = NULL,notch = FALSE,notchwidth = 0.5,varwidth = FALSE,na.rm = FALSE,orientation = NA,show.legend = NA,inherit.aes = TRUE)

参数介绍
aes()可接收的参数有：

x or y，利用x将会是横向箱线图，y的是纵向
lower or xlower
upper or xupper
middle or xmiddle
ymin or xmin
ymax or xmax
alpha
colour
fill
group
linetype
shape
size
weight

notch If FALSE (default) make a standard box plot. If TRUE, make a notched box plot. Notches are used to compare groups; if the notches
of two boxes do not overlap, this suggests that the medians are
significantly different.
notchwidth For a notched box plot, width of the notch relative to the body (defaults to notchwidth = 0.5).
varwidth If FALSE (default) make a standard box plot. If TRUE, boxes are drawn with widths proportional to the square-roots of the
number of observations in the groups (possibly weighted, using the
weight aesthetic).

例子

p <- ggplot(mpg, aes(x=class, y=hwy))p + geom_boxplot()

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ggplot(mpg, aes(x=hwy, y=class)) + geom_boxplot()

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p <- ggplot(mpg, aes(x=class, y=hwy))p + geom_boxplot(notch = TRUE,varwidth = TRUE,fill = "white", colour = "#3366FF")

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ggplot(diamonds, aes(carat, price)) +geom_boxplot(aes(group = cut_width(carat, 0.25)))

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p <- ggplot(mpg, aes(x=class, y=hwy))p + geom_boxplot(outlier.shape = NA) + geom_jitter(width = 0.2)

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利用分位点绘制箱线图

y <- rnorm(100)df <- data.frame(x = 1,y0 = min(y),y25 = quantile(y, 0.25),y50 = median(y),y75 = quantile(y, 0.75),y100 = max(y))ggplot(df, aes(x)) +geom_boxplot(aes(ymin = y0, lower = y25, middle = y50, upper = y75, ymax = y100),stat = "identity")

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将QQ图和箱线图进行融合函数介绍
该函数是来自于qqboxplot包，因此使用前需要安装

geom_qqboxplot(mapping = NULL,data = https://www.it610.com/article/NULL,stat ="qqboxplot",position = "dodge2",...,outlier.colour = NULL,outlier.color = NULL,outlier.fill = NULL,outlier.shape = 19,outlier.size = 1.5,outlier.stroke = 0.5,outlier.alpha = NULL,notch = FALSE,notchwidth = 0.5,varwidth = FALSE,na.rm = FALSE,show.legend = NA,inherit.aes = TRUE)

参数介绍
大部分参数和geom_qq()和geom_boxplot()中的参数含义相同
reference_dist 表示参数比较的标准分布名称，如果有参数需要有dparams
compdata 用于比较的标准样本数据，是个向量

注意事项
aes()函数中的y不可缺
例子

library(dplyr)library(ggplot2)library(qqboxplot)simulated_data=https://www.it610.com/article/tibble(y=c(rnorm(1000, mean=2), rt(1000, 16), rt(500, 4), rt(1000, 8), rt(1000, 32)),group=c(rep("normal, mean=2", 1000), rep("t distribution, df=16", 1000), rep("t distribution, df=4", 500), rep("t distribution, df=8", 1000), rep("t distribution, df=32", 1000)))p <- ggplot2::ggplot(simulated_data, ggplot2::aes(factor(group,levels=c("normal, mean=2", "t distribution, df=32", "t distribution, df=16","t distribution, df=8", "t distribution, df=4")), y=y))p + geom_qqboxplot()p + geom_qqboxplot(reference_dist = "norm")p + geom_qqboxplot(compdata = https://www.it610.com/article/comparison_dataset)