Description Usage Arguments Value Examples
char_to_num
is for transfering character variables which are actually numerical numbers containing strings to numeric.
1 2 3 4 5 6 7 8 | char_to_num(
dat,
char_list = NULL,
m = 0,
p = 0.5,
note = FALSE,
ex_cols = NULL
)
|
dat |
A data frame |
char_list |
The list of charecteristic variables that need to merge categories, Default is NULL. In case of NULL, merge categories for all variables of string type. |
m |
The minimum number of categories. |
p |
The max percent of categories. |
note |
Logical, outputs info. Default is TRUE. |
ex_cols |
A list of excluded variables. Regular expressions can also be used to match variable names. Default is NULL. |
A data.frame
1 2 3 4 5 | dat_sub = lendingclub[c('dti_joint', 'emp_length')]
str(dat_sub)
#variables that are converted to numbers containing strings
dat_sub = char_to_num(dat_sub)
str(dat_sub)
|
Package 'creditmodel' version 1.2.7
'data.frame': 31766 obs. of 2 variables:
$ dti_joint : chr "Missing" "Missing" "9.02" "Missing" ...
$ emp_length: chr "3 years" "2 years" "2 years" "10+ years" ...
-- Transfering character variables which are actually numerical to numeric
'data.frame': 31766 obs. of 2 variables:
$ dti_joint : num NA NA 9.02 NA NA NA NA NA NA NA ...
$ emp_length: chr "3 years" "2 years" "2 years" "10+ years" ...
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