integerCols: Classify integer columns

In fuzzySim: Fuzzy Similarity in Species Distributions

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)

Arguments

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

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".

Author(s)

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

fuzzySim documentation built on Feb. 4, 2020, 5:06 p.m.