fuzzySim (version 4.33)

integerCols: Classify integer columns

Description

This function detects which numeric columns in a data frame contain only whole numbers, and converts those columns to integer class, so that they take up less space.

Usage

integerCols(data)

Value

The function returns a data frame with the same columns as 'data', but with those that are numeric and contain only whole numbers (possibly including NA) now classified as "integer".

Arguments

data

a data frame containing possibly integer columns classified as "numeric".

Author

A. Marcia Barbosa

See Also

is.integer, as.integer, multConvert

Examples

dat <- data.frame(
  var1 = 1:10,
  var2 = as.numeric(1:10),
  var3 = as.numeric(c(1:4, NA, 6:10)),
  var4 = as.numeric(c(1:3, NaN, 5, Inf, 7, -Inf, 9:10)),
  var5 = as.character(1:10),
  var6 = seq(0.1, 1, by = 0.1),
  var7 = letters[1:10]
)  # creates a sample data frame

dat

str(dat)
# var2 classified as "numeric" but contains only whole numbers
# var3 same as var2 but containing also NA values
# var4 same as var2 but containing also NaN and infinite values
# var5 contains only whole numbers but initially classified as factor

dat <- integerCols(dat)

str(dat)
# var2 and var3 now classified as "integer"
# var4 remains as numeric because contains infinite and NaN 
# (not integer) values
# var5 remains as factor