RBD: Randomized Block Design

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

Description

Evaluates provided data through some summary statistics, tests, and plots.

Usage

RBD(observations, treatments, block, confidenceInterval)

Arguments

observations	A numeric vector
treatments	Set of factors which breaks down observations
block	Set of factors to be isolated, "Something you can't control and something you usually aren't interested in." - Prof Ray Mugno
confidenceInterval	Level of confidence to compare against p values. If unentered, .05 is assumed.
LeveneBlock	Assumed FALSE unless provided as TRUE. If TRUE, runs Levene Test on observations by block.
plot	Assumed TRUE, if FALSE doesn't print any of the plots (including Tukey)

Value

Starting from the Top

Confidence Interval	Prints what confidence interval you're using
Observation Summary	Prints 5 Number Summary for just the observations vector
Summary by Treatment	5 Number Summary for observations by treatments
Levene Test by Treatment	Levene Test of observations by treatments
Levene Test by Block	If TRUE, runs Levene Test of observations by block. Assumed FALSE
ANOVA Table	If Levene Test proves data is not heteroscedastic then runs ANOVA Table
Tukey Table	If ANOVA rejects Null Hypothesis then we examine data with a Tukey Table and plots it
Boxplots	Plots a boxplot of observations~treatments, as well as a ggboxplot of all three variables.

Note

Created for Professor Ray Mugno's MAT 342 Spring 2019

Author(s)

Frederick Kaesmann Jr.

References

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

Examples

##

data("CO2")
RBD(CO2$uptake, CO2$Plant, CO2$Type, .04, LeveneBlock = TRUE)

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data("CO2")
RBD(CO2$uptake, CO2$Plant, CO2$Type)

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ftkjr/SummaryPack documentation built on June 4, 2019, 8:23 a.m.