impute_functions: Table imputation methods

In NicolasAzzopardi/mlxPlot: Nicolas Azzopardi's personal functions

Table imputation methods

Description

Replace missing value methods with a variety of methods

Usage

impute_functions(.tbl, .na, .vars, .predicate)

Arguments

.tbl	table-like or list-like structure
.na	value/function to be used for replacement
.vars	list of columns generated by vars(), or a character vector of column names, or a numeric vector of column positions.
.predicate	A predicate function to be applied to the columns or a logical vector.

Details

These methods are modelled closely after dplyr::mutate() and the select style verbs. Most of the functions depend on the na.tools package.

Function List:

• explicit: impute_explicit, impute_explicit_at, impute_explicit_all, impute_explicit_if

• zero: impute_zero, impute_zero_at, impute_zero_all, impute_zero_if

• inf: impute_inf, impute_inf_at, impute_inf_all, impute_inf_if

• neginf: impute_neginf, impute_neginf_at, impute_neginf_all, impute_neginf_if

• constant: impute_constant, impute_constant_at, impute_constant_all, impute_constant_if

• max: impute_max, impute_max_at, impute_max_all, impute_max_if

• min: impute_min, impute_min_at, impute_min_all, impute_min_if

• median: impute_median, impute_median_at, impute_median_all, impute_median_if

• mean: impute_mean, impute_mean_at, impute_mean_all, impute_mean_if

• most_freq: impute_most_freq, impute_most_freq_at, impute_most_freq_all, impute_most_freq_if

• quantile: impute_quantile, impute_quantile_at, impute_quantile_all, impute_quantile_if

• sample: impute_sample, impute_sample_at, impute_sample_all, impute_sample_if

• random: impute_random, impute_random_at, impute_random_all, impute_random_if

• replace: impute_replace, impute_replace_at, impute_replace_all, impute_replace_if

Examples

 ## Not run: 
  nacars %>% impute_zero()
  nacars %>% impute_zero( mpg, cyl )
  nacars %>% impute_zero( "mpg", "cyl" )
  nacars %>% impute_zero( c("mpg","cyl") )
  nacars %>% impute_zero( 1:2 )
 
## End(Not run)

NicolasAzzopardi/mlxPlot documentation built on March 19, 2023, 7:40 a.m.