impute_summary: Impute Missing Data

In UBC-MDS/nurser: Make EDA process

Description

Consolidates several different imputation methods inlcuding summary statistics

Usage

impute_summary(df)

Arguments

df	dataframe containing missing values to impute

Value

a list object with attributes containing summary statistics and imputed data of different methods

Examples

df <- data.frame(one = rnorm(20, 3, 10),
                  two = rnorm(20, 1, 5),
                  three = rnorm(20, 10, 2),
                  four = rnorm(20, 20, 6))

df[c(3:5,15, 19), "two"] <- NA
df[c(2, 8:10), "three"] <- NA
df[c(3:8, 17), "four"] <- NA

summary_doc <- impute_summary(df)
na_counts <- summary_doc$nan_counts
na_row_locations <- summary_doc$nan_rowindex
imputed_df_method_1 <- summary_doc$hmisc_mean

UBC-MDS/nurser documentation built on April 3, 2020, 4:22 a.m.