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agricolae (version 1.3-5)

Statistical Procedures for Agricultural Research

Description

Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.

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Version

Install

install.packages('agricolae')

Monthly Downloads

23,550

Version

1.3-5

License

GPL

Maintainer

Felipe Mendiburu

Last Published

June 6th, 2021

Functions in agricolae (1.3-5)

Multiple comparisons: Tukey

Data for late blight of potatoes

Finding the Variance Analysis of the Augmented block Design

Finding the Variance Analysis of the Balanced Incomplete Block Design

Data amendment Carhuaz 2006

Data for the analysis of carolina genetic design

Data Glycoalkaloids

Data AUDPC Comas - Oxapampa

Plotting the multiple comparison of means

Student-Newman-Keuls (SNK)

Data amendment Huanuco 2006

Multiple comparisons, "Least significant difference" and Adjust P-values

Correlation Coefficient

Data Line by tester

Completely Randomized Design

Ryan, Einot and Gabriel and Welsch multiple range test

The Area Under the Disease Progress Stairs

Data and analysis Mother and baby trials

agricolae-package

Statistical Procedures for Agricultural Research

Plotting the standard error or standard deviance of a multiple comparison of means

Randomized Balanced Incomplete Block Designs. BIB

Multiple comparisons. The van der Waerden (Normal Scores)

Split Plot Design

Randomized Complete Block Design

Alpha design type (0,1)

Experimental design matrix

Plotting the multiple comparison of means

Cut tree of consensus

Analysis of the Partially Balanced Incomplete Block Design

Correlation analysis. Methods of Pearson, Spearman, Kendall and Lin

Data of AUDPC for nonparametrical stability analysis

Uniformity soil. Smith's Index of Soil Heterogeneity

AMMI index and yield stability

Coefficient of the experiment variation

LATEBLIGHT - Simulator for potato late blight Version LB2004

Line x Tester Analysis

Coefficient of the similarity matrix variation

Data of potato yield in a different environment

Lattice designs

Strip Plot Design

Design of experiments for a factorial

Omitting the rows or columns with missing observations of a matrix (NA)

Ordering the treatments according to the multiple comparison

Latin Square Design

Data for Friedman test

Data: Rainfall thresholds as support for timing fungicide applications in the control of potato late blight in Peru

Biodiversity Index

Data of native potato

Calculating the absolute or relative value of the AUDPC

Durbin test and multiple comparison of treatments

Kruskal Wallis test and multiple comparison of treatments.

Data Potato Wild

Correlation of Kendall

Incomplete Latin Square Design

Data of Paracsho biodiversity

Friedman test and multiple comparison of treatments

Normal curve on the histogram

Data of molecular markers

Data of Grain yield of rice variety IR8

Nonadditivity model test

Plotting the ogive from a histogram

North Carolina Designs I, II and III

Data growth of trees

Data evaluation of the disease overtime

Duncan's new multiple range test

Data in greenhouse

The polygon of frequency on the histogram

Data for an analysis in split-plot

Split-split-Plot analysis

Data of cutting

Grouping the treatments averages in a comparison with a minimum value

stability.nonpar

Nonparametric stability analysis

frequency Table of a Histogram

Splip-Plot analysis

Data of soil analysis for 13 localities

Median test. Multiple comparisons

Statistics of data grouped by factors

Data of Ralstonia population in clay soil

consensus of clusters

Data of Bacterial Wilt (AUDPC) and soil

Augmented block design

Graeco - latin square design

Data clones from the PLRV population

Stability analysis. SHUKLA'S STABILITY VARIANCE AND KANG'S

Descriptive measures of grouped data

Data of potato, Heterosis

Variance K, ties, Kendall

Multiple comparisons, scheffe

Matrix of similarity in binary data

simulation.model

Simulation of the linear model under normality

Strip-Plot analysis

Join class for histogram

groups of hclust

Class intervals

Computations of Bayesian t-values for multiple comparisons

Plotting the multiple comparison of means

Random generation by Montecarlo

Data of yield of melon in a Latin square experiment

Data of assessment of the population in the soil R.solanacearum

Class intervals for a histogram, the rule of Sturges

Data for AMMI without repetition

Finding the skewness coefficient

Homologation of regressions

Finding the Kurtosis coefficient

Setting the last character of a chain

plot.graph.freq

Resampling to find the optimal number of markers

Multiple comparisons, Waller-Duncan

resampling.model

Resampling for linear models

summary.graph.freq

frequency Table of a Histogram

order plot in serpentine

weatherSeverity

Weather and Severity

Data of sweetpotato yield