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This vignette introduces nice and easy way to display grouped data frame created by dplyr::group_by
.
knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = "dplyr" %in% rownames(installed.packages()) )
library(ftExtra) library(dplyr)
grouped_iris <- iris %>% group_by(Species) %>% slice(1, 2) grouped_mtcars <- mtcars %>% mutate(model = rownames(mtcars)) %>% head() %>% select(model, cyl, mpg, disp, am) %>% group_by(am, cyl)
grouped_iris %>% as_flextable()
grouped_iris %>% as_flextable(hide_grouplabel = TRUE)
grouped_mtcars %>% as_flextable()
By specifying as_flextable(groups_to = 'merged')
,
grouping variables are merged vertically.
In this case, the default theme is changed to flextable::theme_vanilla
because the booktab theme is not intuitive.
grouped_iris %>% as_flextable(groups_to = "merged")
grouped_mtcars %>% as_flextable(groups_to = "merged", groups_arrange = TRUE)
grouped_mtcars %>% as_flextable(groups_to = "merged", groups_arrange = FALSE)
Grouping variables are moved to left by default.
If you want to keep their positions, specify group_pos = 'asis'
.
grouped_mtcars %>% as_flextable(groups_to = "merged", groups_pos = "asis") %>% flextable::theme_vanilla()
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