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agricolae (version 1.3-2)

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

32,502

Version

1.3-2

License

GPL

Maintainer

Felipe Mendiburu

Last Published

January 19th, 2020

Functions in agricolae (1.3-2)

Data for the analysis of carolina genetic design

Data AUDPC Comas - Oxapampa

Finding the Variance Analysis of the Augmented block Design

Data amendment Carhuaz 2006

Multiple comparisons: Tukey

Finding the Variance Analysis of the Balanced Incomplete Block Design

Data for late blight of potatoes

Data Glycoalkaloids

Data Line by tester

Analysis of the Partially Balanced Incomplete Block Design

Data and analysis Mother and baby trials

Ryan, Einot and Gabriel and Welsch multiple range test

Plotting the multiple comparison of means

North Carolina Designs I, II and III

agricolae-package

Statistical Procedures for Agricultural Research

Student-Newman-Keuls (SNK)

Correlation Coefficient

Completely Randomized Design

Data amendment Huanuco 2006

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

Calculating the absolute or relative value of the AUDPC

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

Multiple comparisons. The van der Waerden (Normal Scores)

Coefficient of the experiment variation

Graeco - latin square design

Augmented block design

Plotting the multiple comparison of means

Data evaluation of the disease overtime

Data for Friedman test

Data in greenhouse

Randomized Balanced Incomplete Block Designs. BIB

Alpha design type (0,1)

consensus of clusters

Data of Ralstonia population in clay soil

Strip Plot Design

Coefficient of the similarity matrix variation

Randomized Complete Block Design

Duncan's new multiple range test

The Area Under the Disease Progress Stairs

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

Data of native potato

Random generation by Montecarlo

Class intervals

AMMI index and yield stability

Plotting the ogive from a histogram

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

Design of experiments for a factorial

Ordering the treatments according to the multiple comparison

Latin Square Design

Lattice designs

Incomplete Latin Square Design

resampling.model

Resampling for linear models

Line x Tester Analysis

Split Plot Design

Kruskal Wallis test and multiple comparison of treatments.

Durbin test and multiple comparison of treatments

Finding the Kurtosis coefficient

Friedman test and multiple comparison of treatments

Data of potato yield in a different environment

Data of molecular markers

Data growth of trees

Data for an analysis in split-plot

Data of Grain yield of rice variety IR8

Data clones from the PLRV population

Normal curve on the histogram

Nonadditivity model test

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

groups of hclust

The polygon of frequency on the histogram

Cut tree of consensus

Data of potato, Heterosis

plot.graph.freq

Join class for histogram

Setting the last character of a chain

Data of AUDPC for nonparametrical stability analysis

Correlation of Kendall

LATEBLIGHT - Simulator for potato late blight Version LB2004

Multiple comparisons, scheffe

Grouping the treatments averages in a comparison with a minimum value

Plotting the multiple comparison of means

Finding the skewness coefficient

Data Potato Wild

Splip-Plot analysis

Matrix of similarity in binary data

Computations of Bayesian t-values for multiple comparisons

Split-split-Plot analysis

Data of sweetpotato yield

stability.nonpar

Nonparametric stability analysis

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

frequency Table of a Histogram

Data of soil analysis for 13 localities

Biodiversity Index

Homologation of regressions

Uniformity soil. Smith's Index of Soil Heterogeneity

Class intervals for a histogram, the rule of Sturges

Median test. Multiple comparisons

Resampling to find the optimal number of markers

summary.graph.freq

frequency Table of a Histogram

Data of Paracsho biodiversity

Data of cutting

Data of yield of melon in a Latin square experiment

Descriptive measures of grouped data

Multiple comparisons, Waller-Duncan

Strip-Plot analysis

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

simulation.model

Simulation of the linear model under normality

Statistics of data grouped by factors

Data for AMMI without repetition

weatherSeverity

Weather and Severity

Data of Bacterial Wilt (AUDPC) and soil

Variance K, ties, Kendall

order plot in serpentine