Keeps the variables you mention in the printed table. Compared to select, show_columns does not remove the columns from the data frame, so formatting rules can still depend on them.

show_columns(x, columns, col_names)

Arguments

x

A condformat object, typically created with condformat()

columns

A character vector with column names to be to show. It can also be an expression can be used that will be parsed according to tidyselect::language(). See examples.

col_names

Character vector with the column names for the selected columns

Value

The condformat object with the rule added

See also

Examples

data(iris) x <- head(iris) # Include some columns: cf <- condformat(x) %>% show_columns(c(Sepal.Length, Sepal.Width, Species)) if (FALSE) { print(cf) } cf <- condformat(x) %>% show_columns(c("Sepal.Length", "Sepal.Width", "Species")) if (FALSE) { print(cf) } # Rename columns: cf <- condformat(x) %>% show_columns(c(Sepal.Length, Species), col_names = c("Length", "Spec.")) if (FALSE) { print(cf) } # Exclude some columns: cf <- condformat(x) %>% show_columns(c(-Petal.Length, -Petal.Width)) if (FALSE) { print(cf) } cf <- condformat(x) %>% show_columns(c(starts_with("Petal"), Species)) if (FALSE) { print(cf) } petal_width <- "Petal.Width" cf <- condformat(x) %>% show_columns(!! petal_width) if (FALSE) { print(cf) }