Statistical Procedures for Agricultural Research
Statistical Procedures for Agricultural Research
AMMI contour
AMMI Analysis
Calculating the absolute or relative value of the AUDPC
The Area Under the Disease Progress Stairs
Plotting the standard error or standard deviance of a multiple compari...
Plotting the multiple comparison of means
Finding the Variance Analysis of the Balanced Incomplete Block Design
North Carolina Designs I, II and III
consensus of clusters
Correlation Coefficient
Correlation analysis. Methods of Pearson, Spearman, Kendall and Lin
Coefficient of the experiment variation
Coefficient of the similarity matrix variation
Finding the Variance Analysis of the Augmented block Design
Omitting the rows or columns with missing observations of a matrix (NA...
Design of experiments for a factorial
Alpha design type (0,1)
Randomized Balanced Incomplete Block Designs. BIB
Completely Randomized Design
Cyclic designs
Augmented block design
Graeco - latin square design
Lattice designs
Latin Square Design
Randomized Complete Block Design
Split Plot Design
Strip Plot Design
Incomplete Latin Square Design
Experimental design matrix
Plotting the multiple comparison of means
Duncan's new multiple range test
Durbin test and multiple comparison of treatments
Friedman test and multiple comparison of treatments
Histogram
Cut tree of consensus
groups of hclust
Multiple comparisons: Tukey
Biodiversity Index
Uniformity soil. Smith's Index of Soil Heterogeneity
AMMI index and yield stability
Class intervals
Join class for histogram
Correlation of Kendall
Kruskal Wallis test and multiple comparison of treatments.
Finding the Kurtosis coefficient
Setting the last character of a chain
LATEBLIGHT - Simulator for potato late blight Version LB2004
Line x Tester Analysis
Multiple comparisons, "Least significant difference" and Adjust P-valu...
Median test. Multiple comparisons
Random generation by Montecarlo
Nonadditivity model test
Normal curve on the histogram
Plotting the ogive from a histogram
Ordering the treatments according to the multiple comparison
Grouping the treatments averages in a comparison with a minimum value
Path Analysis
Analysis of the Partially Balanced Incomplete Block Design
Histogram
Plotting the multiple comparison of means
PLOT AMMI
The polygon of frequency on the histogram
Homologation of regressions
Ryan, Einot and Gabriel and Welsch multiple range test
Resampling to find the optimal number of markers
Resampling for linear models
Multiple comparisons, scheffe
Matrix of similarity in binary data
Simulation of the linear model under normality
Finding the skewness coefficient
Student-Newman-Keuls (SNK)
Splip-Plot analysis
Split-split-Plot analysis
Nonparametric stability analysis
Stability analysis. SHUKLA'S STABILITY VARIANCE AND KANG'S
Descriptive measures of grouped data
Strip-Plot analysis
Class intervals for a histogram, the rule of Sturges
frequency Table of a Histogram
frequency Table of a Histogram
Statistics of data grouped by factors
Multiple comparisons. The van der Waerden (Normal Scores)
Variance K, ties, Kendall
Computations of Bayesian t-values for multiple comparisons
Multiple comparisons, Waller-Duncan
Weather and Severity
order plot in serpentine
Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. 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.