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agricolae (version 1.2-8)

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

37,978

Version

1.2-8

License

GPL

Maintainer

Felipe Mendiburu

Last Published

September 12th, 2017

Functions in agricolae (1.2-8)

Finding the Variance Analysis of the Balanced Incomplete Block Design

Data for late blight of potatoes

Data Glycoalkaloids

Multiple comparisons: Tukey

Data amendment Carhuaz 2006

Data AUDPC Comas - Oxapampa

Ryan, Einot and Gabriel and Welsch multiple range test

Data and analysis Mother and baby trials

Data of Ralstonia population in clay soil

consensus of clusters

Student-Newman-Keuls (SNK)

Multiple comparisons. The van der Waerden (Normal Scores)

The Area Under the Disease Progress Stairs

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

Augmented block design

Graeco - latin square design

Duncan's new multiple range test

Durbin test and multiple comparison of treatments

Data amendment Huanuco 2006

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

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

Completely Randomized Design

Strip Plot Design

Incomplete Latin Square Design

Friedman test and multiple comparison of treatments

Kruskal Wallis test and multiple comparison of treatments.

Finding the Kurtosis coefficient

Finding the Variance Analysis of the Augmented block Design

Data for the analysis of carolina genetic design

Data Line by tester

Analysis of the Partially Balanced Incomplete Block Design

Correlation Coefficient

Coefficient of the experiment variation

Median test. Multiple comparisons

Data of yield of melon in a Latin square experiment

Data of Paracsho biodiversity

Coefficient of the similarity matrix variation

Randomized Complete Block Design

Split Plot Design

Data growth of trees

Cut tree of consensus

Data of potato, Heterosis

Biodiversity Index

Alpha design type (0,1)

Randomized Balanced Incomplete Block Designs. BIB

Plotting the multiple comparison of means

Data evaluation of the disease overtime

Data for Friedman test

Data of AUDPC for nonparametrical stability analysis

AMMI index and yield stability

Class intervals

Nonadditivity model test

Normal curve on the histogram

agricolae-package

Statistical Procedures for Agricultural Research

Calculating the absolute or relative value of the AUDPC

Grouping the treatments averages in a comparison with a minimum value

Data Potato Wild

resampling.model

Resampling for linear models

Multiple comparisons, scheffe

Matrix of similarity in binary data

Descriptive measures of grouped data

Strip-Plot analysis

Plotting the multiple comparison of means

North Carolina Designs I, II and III

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

Design of experiments for a factorial

Data of Grain yield of rice variety IR8

Splip-Plot analysis

Split-split-Plot analysis

weatherSeverity

Weather and Severity

Data of Bacterial Wilt (AUDPC) and soil

order plot in serpentine

Lattice designs

Latin Square Design

Data of potato yield in a different environment

Join class for histogram

Correlation of Kendall

Setting the last character of a chain

LATEBLIGHT - Simulator for potato late blight Version LB2004

Data in greenhouse

groups of hclust

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

Random generation by Montecarlo

Data for an analysis in split-plot

Homologation of regressions

Statistics of data grouped by factors

Variance K, ties, Kendall

Data of native potato

plot.graph.freq

Plotting the multiple comparison of means

Data clones from the PLRV population

Resampling to find the optimal number of markers

simulation.model

Simulation of the linear model under normality

Data for AMMI without repetition

Computations of Bayesian t-values for multiple comparisons

Multiple comparisons, Waller-Duncan

Uniformity soil. Smith's Index of Soil Heterogeneity

Line x Tester Analysis

Data of molecular markers

Plotting the ogive from a histogram

Ordering the treatments according to the multiple comparison

Data of cutting

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

Finding the skewness coefficient

Data of soil analysis for 13 localities

Data of sweetpotato yield

frequency Table of a Histogram

The polygon of frequency on the histogram

stability.nonpar

Nonparametric stability analysis

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

Class intervals for a histogram, the rule of Sturges

summary.graph.freq

frequency Table of a Histogram