cttab: Tables of Descriptive Statistics in word

Description Usage Arguments Value Functions See Also Examples

to_factor Convert vector to factor with corresponding value labels or unique values in the vector. Note that the 'NA' or blank values will be excluded. It will return a factor with original values if there's no value label.

to_factor(x, ordered = TRUE)

to_character(x)

to_numeric(x)

`x`	vector
`ordered`	logical flag to determine if the levels should be regarded as ordered.

Factor of the same form as x but with value labels instead of values.

to_character: Convert vector to character with corresponding unique values in the vector as value labels and keep the variable labels. Note that the 'NA' or blank values will be excluded. It will return a character with original values as value labels if there's no value label.
to_numeric: Convert vector to numeric and keep the variable labels.

val_lab, var_lab

data(mtcars)
mtcars = within(mtcars,{
                var_lab(am) = "Transmission"
                val_lab(am) = c(" automatic" = 0, " manual" =  1)
})

mtcars$am <- to_factor(mtcars$am)
mtcars$gear <- to_character(mtcars$gear)