这是pixiedust
用于生成表的解决方法。 pixiedust
可以选择通过“清理”单元格的内容Hmisc::latexTranslate
。默认情况下,此选项处于关闭状态。
解决方案以 Rmd 文件的形式给出
---
title: "Untitled"
output: pdf_document
header-includes:
- \usepackage{amssymb}
- \usepackage{arydshln}
- \usepackage{caption}
- \usepackage{graphicx}
- \usepackage{hhline}
- \usepackage{longtable}
- \usepackage{multirow}
- \usepackage[dvipsnames,table]{xcolor}
---
```{r, include = FALSE}
library(Hmisc)
library(compareGroups)
library(broom)
library(magrittr)
library(pixiedust)
```
```{r}
label(mtcars$mpg) <- "[$\\frac{miles}{gallon}$]"
# descriptive table of mpg by am
tab <- createTable(
compareGroups(data = mtcars,
gear ~ mpg + qsec)
)
tab_df <-
tab$descr %>%
tidy()
tab_head <-
c("", attr(tab, "ylevels"), "p.overall",
"", sprintf("N=%s", tab$avail[1, -c(1, (ncol(tab$avail) - 0:1))]), "") %>%
matrix(nrow = 2,
byrow = TRUE) %>%
tidy %>%
setNames(names(tab_df))
dust(tab_df,
float = FALSE) %>%
redust(tab_head, part = "head") %>%
medley_bw()
```

如果你想让它更容易一点,你可以扩展dust
方法以包含一个dust.createTable
方法(这是原始的,我没有考虑过所有的用例,但是例如)
dust.createTable <- function(object, ...){
obj_df <-
object$descr %>%
broom::tidy()
obj_head <-
c("", attr(object, "ylevels"), "p.overall",
"", sprintf("N=%s", object$avail[1, -c(1, (ncol(object$avail) - 0:1))]), "") %>%
matrix(nrow = 2,
byrow = TRUE) %>%
broom::tidy() %>%
stats::setNames(names(obj_df))
pixiedust::dust(obj_df) %>%
pixiedust::redust(obj_head, part = "head")
}
compareGroups(data = mtcars,
gear ~ mpg + qsec) %>%
createTable() %>%
dust()
compareGroups(data = mtcars,
gear ~ mpg + qsec + wt) %>%
createTable() %>%
dust()