Transform a 'grouped_data' object into a flextable

Produce a flextable from a table produced by function as_grouped_data().

Usage

# S3 method for grouped_data
as_flextable(x, col_keys = NULL, hide_grouplabel = FALSE, ...)

Arguments

x

'grouped_data' object to be transformed into a "flextable"

col_keys

columns names/keys to display. If some column names are not in the dataset, they will be added as blank columns by default.

hide_grouplabel

if TRUE, group label will not be rendered, only level/value will be rendered.

...

unused argument

See also

as_grouped_data()

Other as_flextable methods: as_flextable(), as_flextable.data.frame(), as_flextable.gam(), as_flextable.glm(), as_flextable.htest(), as_flextable.kmeans(), as_flextable.lm(), as_flextable.merMod(), as_flextable.pam(), as_flextable.summarizor(), as_flextable.table(), as_flextable.tabular(), as_flextable.tabulator(), as_flextable.xtable()

Examples

library(data.table)
CO2 <- CO2
setDT(CO2)
CO2$conc <- as.integer(CO2$conc)

data_co2 <- dcast(CO2, Treatment + conc ~ Type,
  value.var = "uptake", fun.aggregate = mean
)
data_co2 <- as_grouped_data(x = data_co2, groups = c("Treatment"))

ft <- as_flextable(data_co2)
ft <- add_footer_lines(ft, "dataset CO2 has been used for this flextable")
ft <- add_header_lines(ft, "mean of carbon dioxide uptake in grass plants")
ft <- set_header_labels(ft, conc = "Concentration")
ft <- autofit(ft)
ft <- width(ft, width = c(1, 1, 1))
ft
mean of carbon dioxide uptake in grass plants
Concentration
Quebec
Mississippi
Treatment: nonchilled
95
15.26667
11.30000
175
30.03333
20.20000
250
37.40000
27.53333
350
40.36667
29.90000
500
39.60000
30.60000
675
41.50000
30.53333
1,000
43.16667
31.60000
Treatment: chilled
95
12.86667
9.60000
175
24.13333
14.76667
250
34.46667
16.10000
350
35.80000
16.60000
500
36.66667
16.63333
675
37.50000
18.26667
1,000
40.83333
18.73333
dataset CO2 has been used for this flextable