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agricolae (version 1.0-3)

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, 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

32,502

Version

1.0-3

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 (1.0-3)

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

Data for an analysis in split-plot

Data for AMMI without repetition

Factorial design k-factors with n-levels in blocks

Data of sweetpotato yield

Setting the last character of a chain

Data of yield in Huasahuasi

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

Data of Ralstonia population in clay soil

Correlation of Kendall

agricolae-package

Statistical Procedures for Agricultural Research

Randomized Balanced Incomplete Block Designs. BIB

Data Potato Wild

Finding the Kurtosis coefficient

Data of Paracsho biodiversity

Correlation Coefficient

Data Carolina III

Data of molecular markers

Graeco - latin square design

Randomized Complete Block Design

Data Line by tester

Line x Tester Analysis

Data of cutting

Data for Friedman test

Class intervals for a histogram, the rule of Sturges

Data AUDPC Comas - Oxapampa

Multiple comparisons: Tukey

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

Friedman test and multiple comparison of treatments

Alpha design type (0,1)

Coefficient of the experiment variation

groups of hclust

Computations of Bayesian t-values for multiple comparisons

Data evaluation of the disease overtime

North Carolina Designs I, II and III

Kruskal Wallis test and multiple comparison of treatments.

Completely Randomized Design

Design in blocks for factorial pxq

Class intervals

Durbin test and multiple comparison of treatments

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

Join class for histogram

Data of Grain yield of rice variety IR8

Finding the Variance Analysis of the Balanced Incomplete Block Design

Data for AMMI Analysis

Interpolation for nonequidistant points in matrix

Plotting the ojiva from a histogram

Data Carolina II

Descriptive measures of grouped data

Resampling to find the optimal number of markers

Data clones from the LTVR population

Data of Bacterial Wilt (AUDPC) and soil

Data and analysis Mother and baby trials

Data of yield for nonparametrical stability analysis

Data of population bacterial Wilt: AUDPC

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

Data growth of trees

Completing missing data of a matrix according to a model

Data Glycoalkaloids

Data of potato yield in a different environment

Ordering the treatments according to the multiple comparison

Multiple comparisons. The van der Waerden (Normal Scores)

Latin Square Design

Coefficient of the similarity matrix variation

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

Statistics of data grouped by factors

stability.nonpar

Nonparametric stability analysis

Data of native potato

Cut tree of consensus

Plotting the multiple comparison of means

Data of soil analysis for 13 localities

consensus of clusters

Randomizing a factorial in a block

Uniformity soil. Smith's Index of Soil Heterogeneity

Calculating the absolute or relative value of the AUDPC

Frequency Table of a Histogram

Biodiversity Indices

Matrix of similarity in binary data

Grouping the treatments averages in a comparison with a minimum value

simulation.model

Simulation of the linear model under normality

Strip-Plot analysis

Mean on data frame in matrix

Normal curve on the histogram

Finding the skewness coefficient

Homologation of regressions

Variance K, ties, Kendall

Multiple comparisons, Waller-Duncan

Frequency table histogram

Data of yield of melon in a Latin square experiment

Data Carolina I

Nonadditivity model test

Data of species trees. Pucallpa

Correlation analysis. Methods of Pearson, Spearman and Kendall

resampling.model

Resampling for linear models

The polygon of frequency on the histogram