更改自动绘图的轴标题

bee*_*oot 13 r ggplot2 ggfortify

使用autoplotfrom ggfortify来创建诊断图:

library(ggplot2)
library(ggfortify)

mod <- lm(Petal.Width ~ Petal.Length, data = iris)
autoplot(mod, label.size = 3)
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是否可以更改轴和标题(轻松)?我想翻译它们.

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Van*_*man 7

该函数autoplot.lm返回一个S4对象(类ggmultiplot,请参阅参考资料?`ggmultiplot-class`).如果查看帮助文件,您会看到他们有单独绘图的替换方法.这意味着您可以提取单个图,修改它并将其放回原处.例如:

library(ggplot2)
library(ggfortify)

mod <- lm(Petal.Width ~ Petal.Length, data = iris)
g <- autoplot(mod, label.size = 3) # store the ggmultiplot object

# new x and y labels
xLabs <- yLabs <- c("a", "b", "c", "d")

# loop over all plots and modify each individually
for (i in 1:4)
    g[i] <- g[i] + xlab(xLabs[i]) + ylab(yLabs[i])

# display the new plot
print(g) 
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这里我只修改了轴标签,但你可以单独更改关于图的任何内容(主题,颜色,标题,大小).


Pre*_*rem 5

library(ggplot2)
library(ggfortify)

mod <- lm(Petal.Width ~ Petal.Length, data = iris)
autoplot(mod,which=c(1:6), ncols=2)    #total 6 plots in two columns
#change axes label & title of plot 1. similarly by changing 'which' parameters count you can label other plots.
autoplot(mod,which=1) + 
  labs(x="x-axis label of fig1", y="y-axis label of fig1", title="Fig1 plot")
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请不要忘记让我们知道是否有帮助:)

  • @红菜头 ; 您可以循环浏览自定义标签的数字。`m &lt;- mapply(function(w, x, y, z) autoplot(mod, which=w) + labs(x=x, y=y, title=z), w=1:6, x=paste0( "x", 1:6), y=paste0("y", 1:6), z=paste0("tit", 1:6))`。可能有一种更简单的方法来组合它们,但这似乎有效: `l &lt;- do.call(c, lapply(m, function(x) x@plots)) ; gridExtra::grid.arrange(grobs=l, ncol=2)` (3认同)
  • 似乎你也可以做 `p[1,1] &lt;- p[1,1] + labs(x="fig1 的 x 轴标签", y="fig1 的 y 轴标签", title="Fig1 图")`,这可能会给出另一条路线(p是原始的自动绘图) (2认同)

Mar*_*dri 5

@ user20650提出的解决方案既有趣又优雅.

这是一个不太优雅的解决方案,基于myautoplot,修改版本autoplot.我希望它可以帮到你.
此处下载myautoplot功能并将其保存在您的工作目录中并使用名称. 然后,使用以下代码:myautoplot.r

library(ggplot2)
library(ggfortify)

source("myautoplot.r")
mod <- lm(Petal.Width ~ Petal.Length, data = iris)

####
# Define x-labels, y-labels and titles
####
# Residuals vs Fitted Plot
xlab_resfit <- "Xlab ResFit"
ylab_resfit <- "Ylab ResFit"
title_resfit <- "Title ResFit"

# Normal Q-Q Plot
xlab_qqplot <- "Xlab QQ"
ylab_qqplot <- "Ylab QQ"
title_qqplot <- "Title QQ"

# Scale-Location Plot
xlab_scaleloc <- "Xlab S-L"
ylab_scaleloc <- "Ylab S-L"
title_scaleloc <- "Title S-L"

# Cook's distance Plot
xlab_cook <- "Xlab Cook"
ylab_cook <- "Ylab Cook"
title_cook <- "Title Cook"

# Residuals vs Leverage Plot
xlab_reslev <- "Xlab Res-Lev"
ylab_reslev <- "Ylab Res-Lev"
title_reslev <- "Title Res-Lev"

# Cook's dist vs Leverage Plot
xlab_cooklev <- "Xlab Cook-Lev"
ylab_cooklev <- "Ylab Cook-Lev"
title_cooklev <- "Title Cook-Lev"

# Collect axis labels and titles in 3 lists    
xlab_list <- list(resfit=xlab_resfit, qqplot=xlab_qqplot, 
      scaleloc=xlab_scaleloc, cook=xlab_cook, reslev=xlab_reslev,
      cooklev=xlab_cooklev)
ylab_list <- list(resfit=ylab_resfit, qqplot=ylab_qqplot, 
      scaleloc=ylab_scaleloc, cook=ylab_cook, reslev=ylab_reslev,
      cooklev=ylab_cooklev)
title_list <- list(resfit=title_resfit, qqplot=title_qqplot, 
      scaleloc=title_scaleloc, cook=title_cook, reslev=title_reslev,
      cooklev=title_cooklev)

# Pass the lists of axis labels and title to myautoplot
myautoplot(mod, which=1:6, xlab=xlab_list, 
                           ylab=ylab_list, 
                           title=title_list)
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