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agricolae (version 1.1-8)

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. Original idea, support and data sets came from CIP (International Potato Center). 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.

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Version

Install

install.packages('agricolae')

Monthly Downloads

34,553

Version

1.1-8

License

GPL

Maintainer

Felipe Mendiburu

Last Published

February 21st, 2014

Functions in agricolae (1.1-8)

Data for late blight of potatoes

Cut tree of consensus

Coefficient of the experiment variation

Analysis of the Partially Balanced Incomplete Block Design

Strip Plot Design

Class intervals

Line x Tester Analysis

Nonadditivity model test

Data for an analysis in split-plot

Data of cutting

Finding the Kurtosis coefficient

Data for AMMI without repetition

Data Glycoalkaloids

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

Plotting the multiple comparison of means

Lattice designs

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

Uniformity soil. Smith's Index of Soil Heterogeneity

LATEBLIGHT - Simulator for potato late blight Version LB2004

Data Potato Wild

Random generation by Montecarlo

Data of Paracsho biodiversity

Split-split-Plot analysis

Finding the skewness coefficient

Descriptive measures of grouped data

Friedman test and multiple comparison of treatments

Finding the Variance Analysis of the Balanced Incomplete Block Design

Multiple comparisons. The van der Waerden (Normal Scores)

Randomized Balanced Incomplete Block Designs. BIB

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

Randomized Complete Block Design

Duncan's new multiple range test

Grouping the treatments averages in a comparison with a minimum value

Class intervals for a histogram, the rule of Sturges

Strip-Plot analysis

Computations of Bayesian t-values for multiple comparisons

Ordering the treatments according to the multiple comparison

Data in greenhouse

Data for Friedman test

Biodiversity Index

Data of Grain yield of rice variety IR8

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

Completing missing data of a matrix according to a model

Data amendment Carhuaz 2006

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

Data and analysis Mother and baby trials

North Carolina Designs I, II and III

Completely Randomized Design

Augmented block design

Design of experiments for a factorial

stability.nonpar

Nonparametric stability analysis

Data AUDPC Comas - Oxapampa

agricolae-package

Statistical Procedures for Agricultural Research

Data evaluation of the disease overtime

Split Plot Design

Resampling to find the optimal number of markers

summary.graph.freq

frequency Table of a Histogram

frequency Table of a Histogram

Calculating the absolute or relative value of the AUDPC

Data of potato yield in a different environment

groups of hclust

Kruskal Wallis test and multiple comparison of treatments.

Data of yield of melon in a Latin square experiment

Plotting the ojiva from a histogram

simulation.model

Simulation of the linear model under normality

Homologation of regressions

order plot in serpentine

Data amendment Huanuco 2006

consensus of clusters

Correlation Coefficient

Graeco - latin square design

Data of AUDPC for nonparametrical stability analysis

Correlation of Kendall

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

Durbin test and multiple comparison of treatments

Multiple comparisons, Waller-Duncan

resampling.model

Resampling for linear models

Finding the Variance Analysis of the Augmented block Design

Data Line by tester

Data growth of trees

Data of native potato

Data clones from the PLRV population

The polygon of frequency on the histogram

Statistics of data grouped by factors

Data of Ralstonia population in clay soil

Coefficient of the similarity matrix variation

Data of molecular markers

Splip-Plot analysis

Data of sweetpotato yield

Join class for histogram

Data for the analysis of carolina genetic design

Correlation analysis. Methods of Pearson, Spearman and Kendall

Alpha design type (0,1)

Multiple comparisons, scheffe

Data of soil analysis for 13 localities

Setting the last character of a chain

Variance K, ties, Kendall

plot.graph.freq

Multiple comparisons: Tukey

Data of Bacterial Wilt (AUDPC) and soil

Matrix of similarity in binary data

Latin Square Design

Normal curve on the histogram

Student-Newman-Keuls (SNK)

Interpolation for nonequidistant points in matrix

Data of potato, Heterosis