univariate_numvar: Performs univariate analysis on all the numerical variables...
In saushe/RED: Performs exploratory data analysis

The function automatically identifies all the numeric variables in the data set and performs univariate analysis

1	univariate_numvar(df, outlier_cutoff = 3)

`df`	The data frame on which univariate is to be performed
`outlier_cutoff`	This is used to calculate the boundary beyond which an observation will be flagged as outlier. Default value is 3. User can change it to 1.5, 2, 2.5 etc. Formula to calculate outlier boundry: Upper outlier boundary = (upper quartile)+(outlier_cutoffIQR) , Lower outlier boundary = (lower quartile)-(outlier_cutoffIQR).

The output is a table which includes various descriptive stats for the variables

Make sure all the variables in the data set have been assigned to the proper class

saushe/RED documentation built on May 29, 2019, 3:20 p.m.