tabular summary for grouped_data object
produce a flextable from a table
produced by function as_grouped_data()
.
## S3 method for class 'grouped_data' as_flextable(x, col_keys = NULL, hide_grouplabel = FALSE, ...)
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 |
Other as_flextable methods:
as_flextable.gam()
,
as_flextable.glm()
,
as_flextable.htest()
,
as_flextable.lm()
,
as_flextable.xtable()
,
as_flextable()
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
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