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agricolae (version 1.0-4)

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 Gestion 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, PBIB, Alpha design. Comparison of multi-location trials: AMMI (biplot and triplot), Stability. Comparison between treatments: LSD, Bonferroni, HSD, Waller, Kruskal, Friedman, Durbin, Van Der Waerden. Resampling and simulation: resampling.model, simulation.model, analysis Mother and baby trials, Ecology: Indices Biodiversity, path analysis, consensus cluster, Uniformity Soil: Index Smith's.

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Version

Install

install.packages('agricolae')

Monthly Downloads

34,553

Version

1.0-4

License

GPL

Maintainer

Felipe Mendiburu

Last Published

October 22nd, 2023

Functions in agricolae (1.0-4)

Correlation of Kendall

Data Glycoalkaloids

Graeco - latin square design

Data of Ralstonia population in clay soil

Multiple comparisons: Tukey

Coefficient of the experiment variation

Data of yield in Huasahuasi

Randomized Complete Block Design

Friedman test and multiple comparison of treatments

Alpha design type (0,1)

Durbin test and multiple comparison of treatments

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

Data and analysis Mother and baby trials

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

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

Normal curve on the histogram

Data Carolina III

Multiple comparisons. The van der Waerden (Normal Scores)

Analysis of the Partially Balanced Incomplete Block Design

Setting the last character of a chain

Coefficient of the similarity matrix variation

Completely Randomized Design

Plotting the ojiva from a histogram

consensus of clusters

Data Carolina I

Plotting the multiple comparison of means

Finding the Variance Analysis of the Balanced Incomplete Block Design

Calculating the absolute or relative value of the AUDPC

Data Carolina II

Data for AMMI without repetition

agricolae-package

Statistical Procedures for Agricultural Research

Data of yield of melon in a Latin square experiment

Data evaluation of the disease overtime

resampling.model

Resampling for linear models

Data Line by tester

Latin Square Design

Randomized Balanced Incomplete Block Designs. BIB

Multiple comparisons, Waller-Duncan

North Carolina Designs I, II and III

Factorial design k-factors with n-levels in blocks

Line x Tester Analysis

Data for AMMI Analysis

Finding the Kurtosis coefficient

Data of Paracsho biodiversity

Correlation analysis. Methods of Pearson, Spearman and Kendall

Descriptive measures of grouped data

Data Potato Wild

Data of native potato

Data of potato yield in a different environment

Data of population bacterial Wilt: AUDPC

Resampling to find the optimal number of markers

Data of soil analysis for 13 localities

Homologation of regressions

Join class for histogram

Biodiversity Indices

Completing missing data of a matrix according to a model

Variance K, ties, Kendall

Kruskal Wallis test and multiple comparison of treatments.

Data of yield for nonparametrical stability analysis

stability.nonpar

Nonparametric stability analysis

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

Cut tree of consensus

Data for an analysis in split-plot

Strip-Plot analysis

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

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

Class intervals

Data of cutting

Data for Friedman test

Grouping the treatments averages in a comparison with a minimum value

Data of sweetpotato yield

Frequency Table of a Histogram

Data of species trees. Pucallpa

Statistics of data grouped by factors

Nonadditivity model test

Ordering the treatments according to the multiple comparison

Data of Bacterial Wilt (AUDPC) and soil

Randomizing a factorial in a block

Interpolation for nonequidistant points in matrix

Data growth of trees

Class intervals for a histogram, the rule of Sturges

Data clones from the LTVR population

Design in blocks for factorial pxq

The polygon of frequency on the histogram

Mean on data frame in matrix

simulation.model

Simulation of the linear model under normality

Frequency table histogram

Matrix of similarity in binary data

Data of Grain yield of rice variety IR8

Finding the skewness coefficient

Computations of Bayesian t-values for multiple comparisons

Uniformity soil. Smith's Index of Soil Heterogeneity

Data of molecular markers

Data AUDPC Comas - Oxapampa

Correlation Coefficient

groups of hclust