在图标题中使用数据框变量名称 [英] Use dataframe variable names in plot titles

问题描述

我有一个带有多个变量的数据框，希望将它们标记出来，然后在多个ggplots中使用.我已使用labeller包通过以下代码应用标签.

I have a dataframe with several variables that I wish to label and then use in several ggplots. I have applied labels using the labeller package with the following code.

library(tidyverse)
library(labeller)
library(ggpubr)

example.df <- data.frame( 
origin = sample(c("hum_1", "mou_1"), 100, replace = TRUE),
v1 = rnorm(100, 100, 5), 
v2 = rnorm(100, 10,5), 
v3 = rnorm (100, 25, 5))

example.df <- example.df %>% set_variable_labels(origin = "original sample", v1 = "effect of Rx", v2 = "response", v3 = "weight (kg)")

这将使标签显示在数据框中.但是，当我使用ggpubr中的ggqqplot绘制这些变量时，在结果图中看不到标签.

This gets the labels to show up in the dataframe. However, when I use ggqqplot from ggpubr to plot these variables I don't see the labels in the resultant plots.

vars <- dput(colnames(select_if(example.df, is.numeric)))

lapply(vars, function(item) {
   ggqqplot(example.df, x=item, combine = FALSE, facet.by = "origin")+
   ggtitle(item)
   }
)

我想显示原始样本，rx 的效果和重量(kg)，而不是v1，v2和v3.任何帮助深表感谢.谢谢.

I would like to have original sample, effect of rx and weight (kg) show up instead of v1, v2 and v3. Any help is much appreciated. Thanks.

推荐答案

您可以将名称赋予vars，然后使用purrr包中的map2()或imap()函数循环浏览它们.要包含上标/下标/数学符号，请同时使用expression()和parse(text = ...)(另请参见以下 example1 ， example2 ).

You can give the names to vars then use either map2() or imap() functions from the purrr package to cycle through them. To include superscripts/subscripts/math notation, use expression() together with parse(text = ...) (see also these example1, example2).

names(vars) <- c(expression('effect of Rx'^{1}), 
                 "response", 
                 expression(weight/individual %.% kg[2])
                 )
vars
#>  "effect of Rx"^{\n    1\n}                    response 
#>                        "v1"                        "v2" 
#> weight/individual %.% kg[2] 
#>                        "v3"

### from purrr package
map2(vars, names(vars), ~ ggqqplot(example.df, x = .x, combine = FALSE, facet.by = "origin") +
       ggtitle(parse(text = .y)))

# or `imap(x, ...)` which is short hand for map2(x, names(x), ...) 
imap(vars, ~ ggqqplot(example.df, x = .x, combine = FALSE, facet.by = "origin") +
       ggtitle(parse(text = .y)))


#> $`"effect of Rx"^{\n    1\n}`

#> 
#> $response

#> 
#> $`weight/individual %.% kg[2]`

^{由 reprex软件包(v0.2.1.9000)创建于2019-03-11}

^{Created on 2019-03-11 by the reprex package (v0.2.1.9000)}

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