suscat: Detect suspected erroneous numeric data in user chosen...

In UBC-MDS/Rcat: a collection of EDA related functions

Description

Detect suspected erroneous numeric data in user chosen columns

Usage

suscat(df, column = NULL, n = 5, num = "percent")

Arguments

df	A dataframe or matrix like object
column	vector like with names of columns to test
n	default to 1, integer number or percentage of suspected values to identify
num	either "number" if n should be read as a number of rows or 'percentage' if a percentage of total rows

Value

list of named vectors containing row numbers per column

Examples

suscat(iris, col = c('Sepal.Width', 'Petal.Width'))

UBC-MDS/Rcat documentation built on March 30, 2020, 11:43 p.m.