Learn R Programming

⚠️There's a newer version (1.3-7) of this package.Take me there.

agricolae (version 1.2-6)

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.

Copy Link

Version

Install

install.packages('agricolae')

Monthly Downloads

34,553

Version

1.2-6

License

GPL

Maintainer

Felipe Mendiburu

Last Published

August 5th, 2017

Functions in agricolae (1.2-6)

Finding the Variance Analysis of the Augmented block Design

Data for the analysis of carolina genetic design

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

Student-Newman-Keuls (SNK)

Multiple comparisons. The van der Waerden (Normal Scores)

agricolae-package

Statistical Procedures for Agricultural Research

Calculating the absolute or relative value of the AUDPC

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

Data Line by tester

Analysis of the Partially Balanced Incomplete Block Design

consensus of clusters

Data amendment Huanuco 2006

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

Plotting the multiple comparison of means

Ryan, Einot and Gabriel and Welsch multiple range test

Data and analysis Mother and baby trials

Correlation Coefficient

Data of Ralstonia population in clay soil

Completely Randomized Design

Duncan's new multiple range test

Durbin test and multiple comparison of treatments

Data growth of trees

Data of AUDPC for nonparametrical stability analysis

Biodiversity Index

Uniformity soil. Smith's Index of Soil Heterogeneity

The Area Under the Disease Progress Stairs

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

Alpha design type (0,1)

Randomized Balanced Incomplete Block Designs. BIB

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

Design of experiments for a factorial

Plotting the multiple comparison of means

Randomized Complete Block Design

Split Plot Design

Friedman test and multiple comparison of treatments

Kruskal Wallis test and multiple comparison of treatments.

Finding the Kurtosis coefficient

Median test. Multiple comparisons

Data of yield of melon in a Latin square experiment

Random generation by Montecarlo

Data of native potato

Grouping the treatments averages in a comparison with a minimum value

Grouping the treatments averages in a comparison with a minimum value

Homologation of regressions

Resampling to find the optimal number of markers

North Carolina Designs I, II and III

Coefficient of the experiment variation

Coefficient of the similarity matrix variation

Splip-Plot analysis

Split-split-Plot analysis

weatherSeverity

Weather and Severity

Data of Bacterial Wilt (AUDPC) and soil

Data evaluation of the disease overtime

Cut tree of consensus

Data of potato, Heterosis

groups of hclust

plot.graph.freq

resampling.model

Resampling for linear models

Data of Grain yield of rice variety IR8

Finding the skewness coefficient

Lattice designs

Latin Square Design

Data for Friedman test

Data in greenhouse

Join class for histogram

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

Line x Tester Analysis

Data of molecular markers

Plotting the ogive from a histogram

Augmented block design

Graeco - latin square design

Strip Plot Design

Incomplete Latin Square Design

Data of soil analysis for 13 localities

Data of sweetpotato yield

frequency Table of a Histogram

Correlation of Kendall

Nonadditivity model test

Normal curve on the histogram

Data for an analysis in split-plot

Multiple comparisons, scheffe

Matrix of similarity in binary data

Ordering the treatments according to the multiple comparison

Data clones from the PLRV population

The polygon of frequency on the histogram

stability.nonpar

Nonparametric stability analysis

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

Data of potato yield in a different environment

AMMI index and yield stability

Class intervals

Statistics of data grouped by factors

Variance K, ties, Kendall

Setting the last character of a chain

LATEBLIGHT - Simulator for potato late blight Version LB2004

Data Potato Wild

Data of Paracsho biodiversity

Data of cutting

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

Descriptive measures of grouped data

Strip-Plot analysis

Class intervals for a histogram, the rule of Sturges

summary.graph.freq

frequency Table of a Histogram

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

order plot in serpentine