dataPreparation (version 1.1.1)

find_and_transform_numerics: Identify numeric columns in a data_set set

Description

Function to find and transform characters that are in fact numeric.

Usage

find_and_transform_numerics(
  data_set,
  cols = "auto",
  n_test = 30,
  verbose = TRUE
)

Value

The data_set set (as a data.table) with identified numeric transformed.

Arguments

data_set

Matrix, data.frame or data.table

cols

List of column(s) name(s) of data_set to look into. To check all all columns, set it to "auto". (characters, default to "auto")

n_test

Number of non-null rows on which to test (numeric, default to 30)

verbose

Should the algorithm talk? (logical, default to TRUE)

Warning

All these changes will happen by reference.

Details

This function is looking for perfect transformation. If there are some mistakes in data_set, consider setting them to NA before.
If there are some columns that have no chance to be a match think of removing them from cols to save some computation time.

Examples

# Let's build a data_set set
data_set <- data.frame(ID = seq_len(5),
                  col1 = c("1.2", "1.3", "1.2", "1", "6"),
                  col2 = c("1,2", "1,3", "1,2", "1", "6")
                  )

# using the find_and_transform_numerics
find_and_transform_numerics(data_set, n_test = 5)