Learn R Programming

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

agricolae (version 1.3-0)

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

28,504

Version

1.3-0

License

GPL

Maintainer

Felipe Mendiburu

Last Published

January 7th, 2019

Functions in agricolae (1.3-0)

Finding the Variance Analysis of the Balanced Incomplete Block Design

Finding the Variance Analysis of the Augmented block Design

Data Glycoalkaloids

Data for the analysis of carolina genetic design

Multiple comparisons: Tukey

Data amendment Huanuco 2006

Plotting the multiple comparison of means

Student-Newman-Keuls (SNK)

Multiple comparisons. The van der Waerden (Normal Scores)

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

Correlation Coefficient

Completely Randomized Design

Data Line by tester

North Carolina Designs I, II and III

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)

Data amendment Carhuaz 2006

Randomized Complete Block Design

Analysis of the Partially Balanced Incomplete Block Design

Data AUDPC Comas - Oxapampa

Ryan, Einot and Gabriel and Welsch multiple range test

Data of Ralstonia population in clay soil

Data and analysis Mother and baby trials

consensus of clusters

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

Design of experiments for a factorial

Split Plot Design

Duncan's new multiple range test

Biodiversity Index

Nonadditivity model test

Uniformity soil. Smith's Index of Soil Heterogeneity

Plotting the multiple comparison of means

Normal curve on the histogram

Durbin test and multiple comparison of treatments

Lattice designs

Randomized Balanced Incomplete Block Designs. BIB

Alpha design type (0,1)

Data evaluation of the disease overtime

Data for Friedman test

Cut tree of consensus

Data in greenhouse

Latin Square Design

Join class for histogram

Data growth of trees

Data for an analysis in split-plot

Multiple comparisons, scheffe

Correlation of Kendall

Setting the last character of a chain

Data of AUDPC for nonparametrical stability analysis

Data of potato, Heterosis

Line x Tester Analysis

Kruskal Wallis test and multiple comparison of treatments.

Data of molecular markers

Data of Paracsho biodiversity

Data of Grain yield of rice variety IR8

resampling.model

Resampling for linear models

plot.graph.freq

Coefficient of the experiment variation

Plotting the multiple comparison of means

Coefficient of the similarity matrix variation

agricolae-package

Statistical Procedures for Agricultural Research

LATEBLIGHT - Simulator for potato late blight Version LB2004

Finding the Kurtosis coefficient

Grouping the treatments averages in a comparison with a minimum value

Descriptive measures of grouped data

Calculating the absolute or relative value of the AUDPC

Data of sweetpotato yield

Strip-Plot analysis

Homologation of regressions

Data Potato Wild

Strip Plot Design

Augmented block design

Statistics of data grouped by factors

Variance K, ties, Kendall

Graeco - latin square design

Incomplete Latin Square Design

Finding the skewness coefficient

Matrix of similarity in binary data

Data of potato yield in a different environment

frequency Table of a Histogram

Resampling to find the optimal number of markers

Data of soil analysis for 13 localities

Class intervals for a histogram, the rule of Sturges

summary.graph.freq

frequency Table of a Histogram

Friedman test and multiple comparison of treatments

order plot in serpentine

stability.nonpar

Nonparametric stability analysis

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 of native potato

Plotting the ogive from a histogram

AMMI index and yield stability

Class intervals

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

Computations of Bayesian t-values for multiple comparisons

Ordering the treatments according to the multiple comparison

Median test. Multiple comparisons

Multiple comparisons, Waller-Duncan

Data of yield of melon in a Latin square experiment

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

simulation.model

Simulation of the linear model under normality

Data of cutting

Data for AMMI without repetition

Data clones from the PLRV population

The polygon of frequency on the histogram

Splip-Plot analysis

Split-split-Plot analysis

weatherSeverity

Weather and Severity

Data of Bacterial Wilt (AUDPC) and soil

Data for late blight of potatoes