In myaseen208/agricolae: Statistical Procedures for Agricultural Research

out_type <- knitr::opts_knit$get("rmarkdown.pandoc.to")

r = getOption("repos")
r["CRAN"] = "https://cran.rstudio.com/"
#r["CRAN"] = "https://cloud.r-project.org/"
#r["CRAN"] = "https://ftp.iitm.ac.in/cran/"
options(repos = r)

switch(out_type,
    html = {cat("<p>1. Professor of the Academic Department of Statistics and Informatics of the Faculty of Economics and Planning.National University Agraria La Molina-PERU.</p>

<p>2. Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan.</p>")},
    latex = cat("
1. Professor of the Academic Department of Statistics and Informatics of the Faculty of Economics and Planning.National University Agraria La Molina-PERU.

2. Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan.
" )
)

knitr::opts_chunk$set(
    echo    = TRUE
  , comment = ""
  , fig.cap = ""
  )
library(agricolae)

\begin{center} \vspace{6pt} \hrule \end{center}

Introduction

The package agricolae offers a broad functionality in the design of experiments, especially for experiments in agriculture and improvements of plants, which can also be used for other purposes. It contains the following designs: lattice, alpha, cyclic, balanced incomplete block designs, complete randomized blocks, Latin, Graeco-Latin, augmented block designs, split plot and strip plot. It also has several procedures of experimental data analysis, such as the comparisons of treatments of Waller-Duncan, Bonferroni, Duncan, Student-Newman-Keuls, Scheffe, Ryan, Einot and Gabriel and Welsch multiple range test or the classic LSD and Tukey; and non-parametric comparisons, such as Kruskal-Wallis, Friedman, Durbin, Median and Waerden, stability analysis, and other procedures applied in genetics, as well as procedures in biodiversity and descriptive statistics, @Mend2009

Installation

The main program of R should be already installed in the platform of your computer (Windows, Linux or MAC). If it is not installed yet, you can download it from the R project https://www.r-project.org/ of a repository CRAN.

install.packages("agricolae")

Once the agricolae package is installed, it needs to be made accessible to the current R session by the command:

library(agricolae)

For online help facilities or the details of a particular command (such as the function waller.test) you can type:

help(package="agricolae")
help(waller.test)

For a complete functionality, agricolae requires other packages

| ---------|--------------------------------------------- MASS:| for the generalized inverse used in the function PBIB.test nlme: | for the methods REML and LM in PBIB.test klaR: | for the function triplot used in the function AMMI cluster: | for the use of the function consensus AlgDesign: | for the balanced incomplete block design design.bib

Use in R

Since agricolae is a package of functions, these are operational when they are called directly from the console of R and are integrated to all the base functions of R. The following orders are frequent:

detach(package:agricolae) # detach package agricole
library(agricolae) # Load the package to the memory
designs<-apropos("design")
print(designs[substr(designs,1,6)=="design"], row.names=FALSE)

For the use of symbols that do not appear in the keyboard in Spanish, such as:

~, [, ], &, ^, |. <, >, {, }, \% or others, use the table ASCII code.

library(agricolae) # Load the package to the memory: 

In order to continue with the command line, do not forget to close the open windows with any R order. For help:

help(graph.freq)
? (graph.freq)
str(normal.freq)
example(join.freq)

Data set in agricolae

A<-as.data.frame(data(package="agricolae")$results[,3:4])
A[,2]<-paste(substr(A[,2],1,35),"..",sep=".")
head(A)

References

myaseen208/agricolae documentation built on April 4, 2023, 5:23 a.m.