as_num: Convert all Suitable Character Variables to Numeric

In labelr: Label Data Frames, Variables, and Values

Convert all Suitable Character Variables to Numeric

Description

as_num identifies the character variables of a data.frame that can be coerced to numeric without generating new NA values and, for those variables where this can be done, it makes those conversions (similar to Stata's destring command).

Usage

as_num(data, nan2na = TRUE, inf2na = TRUE)

Arguments

data	a data.frame object.
nan2na	a logical argument. TRUE if the non-case-sensitive string "nan" should be converted to NA.
inf2na	a logical argument. TRUE if the non-case-sensitive strings "inf" or "-inf should be converted to NA.

Details

Core labelr functions coerce integers to characters and back, which as_num facilitates. Note that character values of "NA" (including "na", "Na", and "nA") will be converted to NA and, by default, so will other "irregular" values (in the sense of check_irregular).

Value

a data.frame object with all applicable character variables coerced to numeric.

Examples

set.seed(123)
x1 <- runif(10)
x2 <- as.character(sample(c(1:20), 10, replace = TRUE))
x3 <- sample(letters, size = 10, replace = TRUE)
df <- data.frame(x1, x2, x3)
head(df, 3)
sapply(df, class)
class(df$x2)

df <- as_num(df)
head(df,3)
sapply(df, class)
class(df$x2)

labelr documentation built on Sept. 11, 2024, 9:05 p.m.