README.md

In PhDMeiwp/basicANCOVA: Basic One-Way ANCOVA Judgement and Plot

basicANCOVA: R Package of One-Way ANCOVA Judgement and Plot

Authors

Weiping MEI https://PhDMeiwp.github.io

Graduate School of Fisheries and Environmental Sciences, Nagasaki University

Installation

Get the development version from github:

install.packages("devtools")
devtools::install_github("PhDMeiwp/[email protected]", force = TRUE)

Usage

ANCOVAplot(x, y, groups, data, 
            col = 1:length(levels(groups)),
            pch = 1:length(levels(groups)),
            lty = 1:length(levels(groups)),
            legendPos = "topleft",
            xlab = NULL, ylab = NULL, 
            Fig.slope = 1,
            ...)

Examples

library(basicANCOVA)
data("isotope",package = "basicANCOVA")

#(Not run) Same slope (ANCOVA results, lm(y ~ x + groups)).    
ANCOVAplot(x = isotope$d13C, y = isotope$d15N, groups = isotope$area, 
           data = isotope, Fig.slope = 1)

#(Not run) Different slopes (lm results, lm( y ~ x * groups)).     
ANCOVAplot(x = isotope$d13C, y = isotope$d15N, groups = isotope$area, 
           data = isotope, Fig.slope = 0)

# Contributors

• Statistical Analysis and Data Display: Heiberger and Holland. See library(HH).
• Gregory A. Miller and Jean P. Chapman. (2001). Misunderstanding analysis of covariance. Journal of Abnormal Psychology, 110(1), 40-48. Doi 10.1037//0021-843x.110.1.40
• Salvatore S. Mangiafico. (2015). An R Companion for the Handbook of BiologicalStatistics, s, version 1.3.2. https://rcompanion.org/documents/RCompanionBioStatistics.pdf . (Web version: https://rcompanion.org/rcompanion/ ).

PhDMeiwp/basicANCOVA documentation built on May 5, 2019, 2:40 a.m.