Learn R Programming

⚠️There's a newer version (1.3-7) of this package.Take me there.

agricolae (version 1.0-9)

Statistical Procedures for Agricultural Research

Description

Agricolae was presented on 28 August 2009 in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, mention Systems Engineering, of the facultad de ingenieria industrial y de sistemas - Universidad Nacional de Ingenieria, Lima-Peru (UNI), being approved with the qualification of 18.14 in a scale from 0 to 20. The thesis includes a satisfaction survey of the library, with an index quality of the software of 0.8 in scale of 0-1. These functions are currently used by the International Potato Center (CIP), the Universidad Nacional Agraria La Molina (UNALM-PERU), and the Instituto Nacional de Innovacion Agraria (INIA-PERU). It comprises the functionality of statistical analysis into experimental designs applied specially in field experiments in agriculture and plant breeding: Lattice, factorial, complete and incomplete block, Latin Square, Graeco, Alpha designs, Cyclic, augmented block, split and strip plot designs, comparison of multi-location trials, comparison between treatments, resampling, simulation, biodiversity indexes and consensus cluster.

Copy Link

Version

Install

install.packages('agricolae')

Monthly Downloads

37,978

Version

1.0-9

License

GPL

Maintainer

Felipe Mendiburu

Last Published

February 24th, 2010

Functions in agricolae (1.0-9)

Data Glycoalkaloids

Data amendment Carhuaz 2006

Data amendment Huanuco 2006

Finding the Variance Analysis of the Balanced Incomplete Block Design

Data AUDPC Comas - Oxapampa

Plotting the multiple comparison of means

Alpha design type (0,1)

Nonadditivity model test

Normal curve on the histogram

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

Kruskal Wallis test and multiple comparison of treatments.

Setting the last character of a chain

Multiple comparisons: Tukey

Data growth of trees

Finding the Variance Analysis of the Augmented block Design

Student-Newman-Keuls (SNK)

Multiple comparisons. The van der Waerden (Normal Scores)

simulation.model

Simulation of the linear model under normality

consensus of clusters

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

Strip-Plot analysis

Augmented block design

Lattice designs

Data for late blight of potatoes

North Carolina Designs I, II and III

Design in blocks for factorial pxq

Finding the Kurtosis coefficient

Data clones from the PLRV population

Latin Square Design

agricolae-package

Statistical Procedures for Agricultural Research

Analysis of the Partially Balanced Incomplete Block Design

Graeco - latin square design

Data evaluation of the disease overtime

Data in greenhouse

Matrix of similarity in binary data

Grouping the treatments averages in a comparison with a minimum value

Class intervals for a histogram, the rule of Sturges

Durbin test and multiple comparison of treatments

Completely Randomized Design

Coefficient of the similarity matrix variation

Cut tree of consensus

Line x Tester Analysis

Duncan's new multiple range test

Completing missing data of a matrix according to a model

groups of hclust

Data of molecular markers

Uniformity soil. Smith's Index of Soil Heterogeneity

Random generation by Montecarlo

stability.nonpar

Nonparametric stability analysis

Data of potato, Heterosis

Join class for histogram

Data of potato yield in a different environment

Correlation of Kendall

Plotting the ojiva from a histogram

Homologation of regressions

Biodiversity Index

Frequency Table of a Histogram

Data of native potato

Data for an analysis in split-plot

Data of soil analysis for 13 localities

Split Plot Design

Interpolation for nonequidistant points in matrix

Variance K, ties, Kendall

summary.graph.freq

Frequency Table of a Histogram

Data of cutting

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

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

Factorial design k-factors with n-levels in blocks

Coefficient of the experiment variation

Data of Paracsho biodiversity

Data for AMMI without repetition

Data of Bacterial Wilt (AUDPC) and soil

Calculating the absolute or relative value of the AUDPC

Correlation analysis. Methods of Pearson, Spearman and Kendall

Randomized Balanced Incomplete Block Designs. BIB

Descriptive measures of grouped data

Strip Plot Design

Randomized Complete Block Design

Data for Friedman test

Data of Grain yield of rice variety IR8

Data of sweetpotato yield

Correlation Coefficient

Statistics of data grouped by factors

Class intervals

Data of yield of melon in a Latin square experiment

Data for the analysis of carolina genetic design

Data and analysis Mother and baby trials

Ordering the treatments according to the multiple comparison

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

The polygon of frequency on the histogram

resampling.model

Resampling for linear models

Computations of Bayesian t-values for multiple comparisons

Finding the skewness coefficient

Data Line by tester

Resampling to find the optimal number of markers

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

Multiple comparisons, Waller-Duncan

Data of Ralstonia population in clay soil

Friedman test and multiple comparison of treatments

Data of yield for nonparametrical stability analysis

Data Potato Wild

plot.graph.freq

Randomizing a factorial in a block

Multiple comparisons, scheffe