impute_by_sampling_distribution: Imput missing values by variable samplingd distribution

In octmedina/ksnet: Herramientas para el día a día en KSNET

Imput missing values by variable samplingd distribution

Description

This function take advantage of generate_synthetic_object to impute missing data. Read help(generate_synthetic_object) for more information.

Usage

impute_by_sampling_distribution(obj, set_seed = NULL)

Arguments

obj	A dataframe, numeric vector or character/factor vector.
seed	Specify seed when replication is desired.

Value

The same object without NA values as they have been imputed.

Examples

impute_by_sampling_distribution(c(mtcars$mpg,NA,NA,NA,NA,NA))

data_temp <- data.frame(
    x = c(mtcars$mpg,NA,NA,NA,NA,NA),
    y = c(mtcars$cyl,NA,NA,NA,NA,NA))

as.data.frame(impute_by_sampling_distribution(data_temp) )

dplyr::mutate(data_temp, x_impute = impute_by_sampling_distribution(x))

octmedina/ksnet documentation built on April 18, 2023, 3:34 p.m.