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agricolae (version 1.2-4)

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

29,421

Version

1.2-4

License

GPL

Maintainer

Felipe Mendiburu

Last Published

June 12th, 2016

Functions in agricolae (1.2-4)

agricolae-package

Statistical Procedures for Agricultural Research

Correlation Coefficient

Completely Randomized Design

Randomized Complete Block Design

Split Plot Design

Data Glycoalkaloids

Data of potato, Heterosis

groups of hclust

Kruskal Wallis test and multiple comparison of treatments.

Data of native potato

Finding the Kurtosis coefficient

Nonadditivity model test

Data for AMMI without repetition

simulation.model

Simulation of the linear model under normality

Splip-Plot analysis

Data of soil analysis for 13 localities

order plot in serpentine

Plotting the multiple comparison of means

Finding the Variance Analysis of the Balanced Incomplete Block Design

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

Data evaluation of the disease overtime

Duncan's new multiple range test

Data of potato yield in a different environment

Join class for histogram

Correlation of Kendall

Data of yield of melon in a Latin square experiment

Random generation by Montecarlo

plot.graph.freq

Analysis of the Partially Balanced Incomplete Block Design

Finding the skewness coefficient

summary.graph.freq

frequency Table of a Histogram

Student-Newman-Keuls (SNK)

Data of sweetpotato yield

Multiple comparisons, Waller-Duncan

Computations of Bayesian t-values for multiple comparisons

The Area Under the Disease Progress Stairs

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

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

Durbin test and multiple comparison of treatments

Design of experiments for a factorial

Friedman test and multiple comparison of treatments

Multiple comparisons: Tukey

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

Normal curve on the histogram

Plotting the ogive from a histogram

Ryan, Einot and Gabriel and Welsch multiple range test

Homologation of regressions

Coefficient of the experiment variation

Coefficient of the similarity matrix variation

Augmented block design

Graeco - latin square design

Data for Friedman test

Lattice designs

Latin Square Design

Data in greenhouse

Line x Tester Analysis

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

Data of Paracsho biodiversity

North Carolina Designs I, II and III

Data amendment Carhuaz 2006

Data for late blight of potatoes

Data of Ralstonia population in clay soil

Finding the Variance Analysis of the Augmented block Design

Data growth of trees

Data for the analysis of carolina genetic design

Data of AUDPC for nonparametrical stability analysis

Class intervals

AMMI index and yield stability

Setting the last character of a chain

LATEBLIGHT - Simulator for potato late blight Version LB2004

Ordering the treatments according to the multiple comparison

Data for an analysis in split-plot

Data and analysis Mother and baby trials

Data of Grain yield of rice variety IR8

Strip-Plot analysis

Class intervals for a histogram, the rule of Sturges

Variance K, ties, Kendall

Multiple comparisons. The van der Waerden (Normal Scores)

Grouping the treatments averages in a comparison with a minimum value

Data of cutting

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

Matrix of similarity in binary data

Multiple comparisons, scheffe

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

Descriptive measures of grouped data

frequency Table of a Histogram

Statistics of data grouped by factors

Calculating the absolute or relative value of the AUDPC

Data AUDPC Comas - Oxapampa

consensus of clusters

Alpha design type (0,1)

Randomized Balanced Incomplete Block Designs. BIB

Strip Plot Design

Plotting the multiple comparison of means

Data amendment Huanuco 2006

Cut tree of consensus

Split-split-Plot analysis

Data of Bacterial Wilt (AUDPC) and soil

stability.nonpar

Nonparametric stability analysis

Data Line by tester

Biodiversity Index

Uniformity soil. Smith's Index of Soil Heterogeneity

Grouping the treatments averages in a comparison with a minimum value

Data of molecular markers

Data Potato Wild

Data clones from the PLRV population

The polygon of frequency on the histogram

Resampling to find the optimal number of markers

resampling.model

Resampling for linear models

Incomplete Latin Square Design

weatherSeverity

Weather and Severity

Median test. Multiple comparisons