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agricolae (version 1.1-5)

Statistical Procedures for Agricultural Research

Description

Agricolae was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, mention Systems Engineering, Faculty of Industrial and Systems Engineering, National Engineering University (UNI), Lima-Peru 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, 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.

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Version

Install

install.packages('agricolae')

Monthly Downloads

34,553

Version

1.1-5

License

GPL

Maintainer

Felipe Mendiburu

Last Published

November 4th, 2013

Functions in agricolae (1.1-5)

Data Glycoalkaloids

Data for late blight of potatoes

Class intervals

Interpolation for nonequidistant points in matrix

Data Line by tester

Student-Newman-Keuls (SNK)

Randomized Balanced Incomplete Block Designs. BIB

Data for Friedman test

Grouping the treatments averages in a comparison with a minimum value

Data and analysis Mother and baby trials

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

Plotting the multiple comparison of means

Data evaluation of the disease overtime

Lattice designs

Coefficient of the experiment variation

Join class for histogram

Data of Paracsho biodiversity

Durbin test and multiple comparison of treatments

Randomizing a factorial in a block

Augmented block design

Factorial design k-factors with n-levels in blocks

Data of Grain yield of rice variety IR8

Data of cutting

Data in greenhouse

Computations of Bayesian t-values for multiple comparisons

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

Strip-Plot analysis

Completing missing data of a matrix according to a model

Data of Bacterial Wilt (AUDPC) and soil

Line x Tester Analysis

Finding the Kurtosis coefficient

Analysis of the Partially Balanced Incomplete Block Design

Data amendment Carhuaz 2006

Data amendment Huanuco 2006

Split Plot Design

North Carolina Designs I, II and III

LATEBLIGHT - Simulator for potato late blight Version LB2004

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

Multiple comparisons, Waller-Duncan

Split-split-Plot analysis

Completely Randomized Design

Graeco - latin square design

Data of sweetpotato yield

Calculating the absolute or relative value of the AUDPC

Resampling to find the optimal number of markers

Data of soil analysis for 13 localities

Design in blocks for factorial pxq

Duncan's new multiple range test

Data of potato, Heterosis

Data of potato yield in a different environment

Uniformity soil. Smith's Index of Soil Heterogeneity

Cut tree of consensus

Correlation of Kendall

Data growth of trees

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

Multiple comparisons. The van der Waerden (Normal Scores)

Finding the Variance Analysis of the Augmented block Design

Randomized Complete Block Design

Biodiversity Index

Data of yield of melon in a Latin square experiment

Nonadditivity model test

Normal curve on the histogram

Kruskal Wallis test and multiple comparison of treatments.

plot.graph.freq

Descriptive measures of grouped data

Data of AUDPC for nonparametrical stability analysis

frequency Table of a Histogram

Multiple comparisons, scheffe

Random generation by Montecarlo

Data clones from the PLRV population

Ordering the treatments according to the multiple comparison

Finding the skewness coefficient

summary.graph.freq

frequency Table of a Histogram

stability.nonpar

Nonparametric stability analysis

Data of Ralstonia population in clay soil

Correlation Coefficient

Finding the Variance Analysis of the Balanced Incomplete Block Design

Coefficient of the similarity matrix variation

agricolae-package

Statistical Procedures for Agricultural Research

Friedman test and multiple comparison of treatments

groups of hclust

Data of molecular markers

Data Potato Wild

Data for an analysis in split-plot

Plotting the ojiva from a histogram

The polygon of frequency on the histogram

Homologation of regressions

Variance K, ties, Kendall

Class intervals for a histogram, the rule of Sturges

Setting the last character of a chain

Data for the analysis of carolina genetic design

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

consensus of clusters

Correlation analysis. Methods of Pearson, Spearman and Kendall

Data of native potato

simulation.model

Simulation of the linear model under normality

Matrix of similarity in binary data

Data for AMMI without repetition

Data AUDPC Comas - Oxapampa

Latin Square Design

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

Statistics of data grouped by factors

Multiple comparisons: Tukey

Alpha design type (0,1)

Strip Plot Design

Splip-Plot analysis

resampling.model

Resampling for linear models