divide_and_fill: Takes a dataframe, subsets selected columns and imputes...

In UBC-MDS/instaeda_R: InstaEDA: Quick and Easy Way to Clean Data and Build Exploratory Data Analysis Plots

Description

Takes a dataframe, subsets selected columns and imputes missing values and returns a data frame.

Usage

divide_and_fill(
  dataframe,
  cols = NULL,
  strategy = "mean",
  random = FALSE,
  verbose = 0L
)

Arguments

dataframe	Dataframe from which to take columns and check for missing values.
cols	List of columns to perform imputation on. By default, NULL(perform on all numeric columns).
strategy	string. imputation strategy, one of: 'mean', 'median', 'random'. By default, 'mean'.
random	boolean, optional When random == True, shuffles data frame before filling. By default, False.
verbose	integer, optional Controls the verbosity of the divide and fill. By default, 0.

Value

data.frame Data frame obtained after divide and fill on the corresponding columns.

Examples

## Not run: 
divide_and_fill(example_dataframe)

## End(Not run)

UBC-MDS/instaeda_R documentation built on March 29, 2021, 7:55 a.m.