qol (version 1.0.2)

convert_numeric: Check and Convert to Numeric

Description

is_numeric() checks whether all values of the given variable, that are not NA, are numerical.

convert_numeric() converts all given variables to numeric if possible. If a variable contains none numerical values (not including NAs), the variable will not be converted.

Usage

is_numeric(variable)
convert_numeric(data_frame, variables)

Value

is_numeric() returns TRUE if all none NA values are numerical, otherwise FALSE.

convert_numeric() returns the same data frame with converted variables where possible.

Arguments

variable

A vector with values to check.

data_frame

A data frame containing variables to convert.

variables

Variables from the data frame which should be converted to numeric.

Examples

# Check if vectors contain only numeric values
test_vector1 <- c(1, 2, 3, NA, 4, 5)
test_vector2 <- c(1, 2, "Hello", NA, 4, 5)

numeric_check1 <- is_numeric(test_vector1)
numeric_check2 <- is_numeric(test_vector2)

# Convert variables in a data frame to numeric where possible
test_df <- data.frame(var_a = c(1, 2, 3, NA, 4, 5),
                      var_b = c(1, 2, "Hello", NA, 4, 5))

convert_df <- test_df |> convert_numeric(c("var_a", "var_b"))