DistMod: Distrobution Modifier
In ftkjr/SummaryPack: Basic Summaries and Analyses for MAT 342

Description Usage Arguments Details Value Note Author(s) References Examples

Examines three variations of the given data: the original set, the square root of values in the set, and the log of the values in the set to determine which is most normal by IQR/SD. Also plots data

1	DistMod(observation, treatments)

`observation`	Set of numeric values to be evaluated
`treatments`	Set of factors by which to separate observation

This evaluates either a single vector or a vector separated by provided factors

For less than two factors the function returs three values and an arrow to the most normal (whichever is closest to 1.34), for 2 or more factors, it returns the three values for each set of observations by factor.

`Original`	The IQR/SD for the original data
`Square root`	The IQR/SD for the square root of the data
`Log`	The IQR/SD for the log of the data
`Boxplot`
`Histogram`

Written for MAT 342 Spring 2019

Frederick Kaesmann Jr

My github -> https://github.com/ftkjr/SummaryPack

## No treatment variables

data("CO2")

DistMod(CO2$uptake)

####

## treatment with multiple factors

HairEyeColor <- as.data.frame(data("HairEyeColor"))

DistMod(HairEyeColor$Freq, HairEyeColor$Eye)