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agricolae (version 1.3-7)

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

39,193

Version

1.3-7

License

GPL

Maintainer

Felipe Mendiburu

Last Published

October 22nd, 2023

Functions in agricolae (1.3-7)

Data amendment Huanuco 2006

Analysis of the Partially Balanced Incomplete Block Design

Student-Newman-Keuls (SNK)

Data Line by tester

Ryan, Einot and Gabriel and Welsch multiple range test

Data and analysis Mother and baby trials

agricolae-package

Statistical Procedures for Agricultural Research

Data of Ralstonia population in clay soil

Multiple comparisons. The van der Waerden (Normal Scores)

consensus of clusters

Correlation Coefficient

Calculating the absolute or relative value of the AUDPC

Plotting the multiple comparison of means

Completely Randomized Design

North Carolina Designs I, II and III

Lattice designs

Latin Square Design

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

Graeco - latin square design

Plotting the multiple comparison of means

Duncan's new multiple range test

The Area Under the Disease Progress Stairs

Augmented block design

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

Experimental design matrix

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

Design of experiments for a factorial

Data evaluation of the disease overtime

Alpha design type (0,1)

Data of AUDPC for nonparametrical stability analysis

Randomized Balanced Incomplete Block Designs. BIB

Strip Plot Design

Class intervals

Incomplete Latin Square Design

Cut tree of consensus

Join class for histogram

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

Data of potato yield in a different environment

Data of yield of melon in a Latin square experiment

Data of Paracsho biodiversity

Coefficient of the experiment variation

groups of hclust

Coefficient of the similarity matrix variation

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

Random generation by Montecarlo

Data for Friedman test

Data Potato Wild

Randomized Complete Block Design

Data of potato, Heterosis

Data in greenhouse

Split Plot Design

Data of native potato

Biodiversity Index

The polygon of frequency on the histogram

Nonadditivity model test

Plotting the multiple comparison of means

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

Data of cutting

Data growth of trees

Variance K, ties, Kendall

Computations of Bayesian t-values for multiple comparisons

Finding the Kurtosis coefficient

Data of sweetpotato yield

Descriptive measures of grouped data

Data of Bacterial Wilt (AUDPC) and soil

summary.graph.freq

frequency Table of a Histogram

Durbin test and multiple comparison of treatments

Data of Grain yield of rice variety IR8

Multiple comparisons, scheffe

Matrix of similarity in binary data

Setting the last character of a chain

simulation.model

Simulation of the linear model under normality

Kruskal Wallis test and multiple comparison of treatments.

Correlation of Kendall

plot.graph.freq

Resampling to find the optimal number of markers

resampling.model

Resampling for linear models

Uniformity soil. Smith's Index of Soil Heterogeneity

Strip-Plot analysis

Friedman test and multiple comparison of treatments

Split-split-Plot analysis

AMMI index and yield stability

Data for an analysis in split-plot

Grouping the treatments averages in a comparison with a minimum value

Line x Tester Analysis

LATEBLIGHT - Simulator for potato late blight Version LB2004

Data of molecular markers

Ordering the treatments according to the multiple comparison

Median test. Multiple comparisons

Normal curve on the histogram

stability.nonpar

Nonparametric stability analysis

Plotting the ogive from a histogram

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

Multiple comparisons, Waller-Duncan

Data of soil analysis for 13 localities

Class intervals for a histogram, the rule of Sturges

Homologation of regressions

Splip-Plot analysis

weatherSeverity

Weather and Severity

Statistics of data grouped by factors

frequency Table of a Histogram

Data clones from the PLRV population

order plot in serpentine

Data for AMMI without repetition

Finding the skewness coefficient

Data AUDPC Comas - Oxapampa

Multiple comparisons: Tukey

Data Glycoalkaloids

Finding the Variance Analysis of the Balanced Incomplete Block Design

Data amendment Carhuaz 2006

Finding the Variance Analysis of the Augmented block Design

Data for late blight of potatoes

Data for the analysis of carolina genetic design