easy_describe: Functions to help with pre-data exploration

In bfatemi/easydata: Utility functions for easy data wrangling

Description

Helper functions to assist with basic data exploration tasks.

Usage

easy_describe(DT, cols = NULL, cclass = NULL, FUN = NULL, all = NULL)

split_by_class(DT)

wcolNA(DT)

wrowNA(DT)

Arguments

DT	A data.table
cols	optional arg providing column names to operate on
cclass	Not implemented. Useful if desiring to describe all columns of a particular class
FUN	NI; provide function to apply over cols (if provided)
all	Boolean indicating whether to perform for all columns (default is FALSE). If this is false and optional argument "cols" was also not provided, the default behavior is to perform this for only factor and character column classes in DT

Value

A descriptive data.table

Functions

• split_by_class: A function to split the column names of a data.table into groups specified by class

• wcolNA: Which columns contain all NA values down the rows (all obervations are NA)

• wrowNA: Which rows contain all NA values across the columns

Examples

library(data.table)
library(easydata)
DT <- as.data.table(iris)

easy_describe(DT)

bfatemi/easydata documentation built on Oct. 7, 2019, 4:35 p.m.