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

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

Arguments

x

object to be transformed as 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

Illustrations

See also

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
#> a flextable object.
#> col_keys: `conc`, `Quebec`, `Mississippi` 
#> header has 2 row(s) 
#> body has 16 row(s) 
#> original dataset sample: 
#>    Treatment conc   Quebec Mississippi
#> 1 nonchilled   NA       NA          NA
#> 3       <NA>   95 15.26667    11.30000
#> 4       <NA>  175 30.03333    20.20000
#> 5       <NA>  250 37.40000    27.53333
#> 6       <NA>  350 40.36667    29.90000