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agricolae (version 1.0-2)

Statistical Procedures for Agricultural Research

Description

These functions are currently utilized by the International Potato Center Research (CIP), the Statistics and Informatics Instructors and the Students of the Universidad Nacional Agraria La Molina Peru, and the Specialized Master in "Bosques y Gesti�n de Recursos Forestales" (Forest Resource Management). This package contains functionality for the statistical analysis of experimental designs applied specially for field experiments in agriculture and plant breeding. Planning of field experiments: Lattice, factorial, RCBD, CRD, Latin Square, Greaco, BIB, Alpha design. Comparison of multi-location trials: AMMI (biplot and triplot), Stability. Comparison between treatments: LSD, HSD, Waller, Kruskal, Friedman, Durbin, Van Der Waerden. Resampling and simulation: resampling.model, simulation.model, Ecology: Indices Biodiversity, path analysis, Uniformity Soil: Index Smith's.

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Version

Install

install.packages('agricolae')

Monthly Downloads

32,502

Version

1.0-2

License

This software may be re-distributed freely and used for any non-commercial purpose under the GPL license.

Maintainer

Felipe Mendiburu

Last Published

October 22nd, 2023

Functions in agricolae (1.0-2)

North Carolina Designs I, II y III

Data Carolina III

Friedman test and multiple comparison of treatments

Multiple comparisons: Tukey

Data of population bacterial wild: AUDPC

agricolae-package

Statistical Procedures for Agricultural Research

Alpha design type (0,1)

Coefficient of the similarity matrix variation

Plotting the multiple comparison of means

Matrix of similarity in binary data

Completing missing data of a matrix according to a model

Data of yield of melon in a Latin square experiment

Calculating the absolute or relative value of the AUDPC

Randomized Balanced Incomplete Block Designs. BIB

Frequency table histogram

Data for an analysis in split-plot

Durbin test and multiple comparison of treatments

Finding the Variance Analysis of the Balanced Incomplete Block Design

Data for AMMI Analysis

Completely Randomized Design

Data AUDPC Comas - Oxapampa

Data Glycoalkaloids

Finding the skewness coefficient

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

Join class for histogram

Data growth of trees

Correlation analysis. Methods of Pearson, Spearman and Kendall

Correlation Coefficient

Class intervals

Multiple comparisons, "Least significant difference"

Data of native potato

Nonadditivity model test

Factorial design k-factors with n-levels in blocks

Coefficient of the experiment variation

Data Carolina I

Plotting the ojiva from a histogram

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

Data of soil analysis for 13 localities

Data of Paracsho biodiversity

Data of Grain yield of rice variety IR8

Data of yield in Huasahuasi

Multiple comparisons. The van der Waerden (Normal Scores)

Finding the largest decimal number from the elements of a vector or matrix

Design in blocks for factorial pxq

Latin Square Design

Data clones from the LTVR population

Kruskal Wallis test and multiple comparison of treatments.

Finding the Kurtosis coefficient

Data Line by tester

Homologation of regressions

Data of Ralstonia population in clay soil

Line x Tester Analysis

Data Carolina II

Variance K, ties, Kendall

Statistics of data grouped by factors

Randomized Complete Block Design

Data of sweetpotato yield

Data of Bacterial wild (AUDPC) and soil

simulation.model

Simulation of the linear model under normality

Data for AMMI without repetition

The matrix zz of information is disturbed in three vectors x, y, z

Interpolation for nonequidistant points in matrix

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

Setting the last character of a chain

Data of species trees. Pucallpa

The polygon of frequency on the histogram

Resampling to find the optimal number of markers

Data of cutting

Data of potato yield in a different environment

Data of molecular markers

Data evaluation of the disease overtime

Grouping the treatments averages in a comparison with a minimum value

Frequency Table of a Histogram

Biodiversity Indices

Strip-Plot analysis

Mean on data frame in matrix

Selection of the best method for the dissimilarity distance calculation

resampling.model

Resampling for linear models

Randomizing a factorial in a block

Graeco - latin square design

Correlation of Kendall

Data of yield for nonparametrical stability analysis

Data for Friedman test

Uniformity soil. Smith's Index of Soil Heterogeneity

stability.nonpar

Nonparametric stability analysis

Multiple comparisons, Waller-Duncan

Normal curve on the histogram

Computations of Bayesian t-values for multiple comparisons

Ordering the treatments according to the multiple comparison

Descriptive measures of grouped data

Class intervals for a histogram, the rule of Sturges