metan1.19.0 package

Multi Environment Trials Analysis

resp_surf

Response surface model

Schmildt

Schmildt's genotypic confidence index

Select_helper

Select helper

ecovalence

Stability analysis based on Wricke's model

mahala

Mahalanobis Distance

plot_eigen

Plot the eigenvalues

plot_scores

Plot scores in different graphical interpretations

plot.ge_effects

Plot an object of class ge_effects

plot.ge_factanal

Plot the ge_factanal model

plot.ge_reg

Plot an object of class ge_reg

plot.gge

Create GGE, GT or GYT biplots

plot.mgidi

Plot the multi-trait genotype-ideotype distance index

plot.mtmps

Plot the multi-trait stability index

plot.mtsi

Plot the multi-trait stability index

plot.path_coeff

Plots an object of class path_coeff

plot.performs_ammi

Several types of residual plots

plot.resp_surf

Plot the response surface model

print.anova_joint

Print an object of class anova_joint

print.can_cor

Print an object of class can_cor

print.coincidence

Print an object of class coincidence

print.colindiag

Print an object of class colindiag

print.corr_coef

Print an object of class corr_coef

print.ecovalence

Print an object of class ecovalence

print.env_dissimilarity

Print an object of class env_dissimilarity

print.env_stratification

Print the env_stratification model

print.Fox

Print an object of class Fox

print.gamem

Print an object of class gamem

print.ge_factanal

Print an object of class ge_factanal

print.ge_reg

Print an object of class ge_reg

print.ge_stats

Print an object of class ge_stats

print.Huehn

Print an object ofclass Huehn

print.lpcor

Print the partial correlation coefficients

print.mgidi

Print an object of class mgidi Print a mgidi object in two ways. By ...

print.mtmps

Print an object of class mtmps

print.mtsi

Print an object of class mtsi

print.path_coeff

Print an object of class path_coeff

print.performs_ammi

Print an object of class performs_ammi

print.plaisted_peterson

Print an object of class plaisted_peterson

print.Schmildt

Print an object of class Schmildt

print.sh

Print an object of class sh

print.Shukla

Print an object of class Shukla

print.superiority

Print an object ofclass superiority

print.Thennarasu

Print an object ofclass Thennarasu

print.waas_means

Print an object of class waas_means

print.waas

Print an object of class waas

print.waasb

Print an object of class waasb

reexports

Objects exported from other packages

reorder_cormat

Reorder a correlation matrix

resca

Rescale a variable to have specified minimum and maximum values

residual_plots

Several types of residual plots

network_plot

Network plot of a correlation matrix

cv_blup

Cross-validation procedure

acv

Adjusted Coefficient of Variation \loadmathjax

ammi_indexes

AMMI-based stability indexes

doo

Alternative to dplyr::do for doing anything

Annicchiarico

Annicchiarico's genotypic confidence index

anova_ind

Within-environment analysis of variance

anova_joint

Joint analysis of variance

arrange_ggplot

Arrange separate ggplots into the same graphic

as.lpcor

Coerce to an object of class lpcor

barplots

Fast way to create bar plots

bind_cv

Bind cross-validation objects

blup_indexes

Stability indexes based on a mixed-effect model

can_corr

Canonical correlation analysis

clustering

Clustering analysis

coincidence_index

Computes the coincidence index of genotype selection

colindiag

Collinearity Diagnostics

comb_vars

Pairwise combinations of variables

corr_ci

Confidence interval for correlation coefficient

corr_coef

Linear and partial correlation coefficients

corr_focus

Focus on section of a correlation matrix

corr_plot

Visualization of a correlation matrix

corr_ss

Sample size planning for a desired Pearson's correlation confidence in...

data_simula

Simulate genotype and genotype-environment data

corr_stab_ind

Correlation between stability indexes

correlated_vars

Generate correlated variables

covcor_design

Variance-covariance matrices for designed experiments

cv_ammi

Cross-validation procedure

cv_ammif

Cross-validation procedure

desc_stat

Descriptive statistics

env_dissimilarity

Dissimilarity between environments

env_stratification

Environment stratification

fai_blup

Multi-trait selection index

find_outliers

Find possible outliers in a dataset

ge_details

Details for genotype-environment trials

Fox

Fox's stability function

gafem

Genotype analysis by fixed-effect models

gai

Geometric adaptability index

gamem_met

Genotype-environment analysis by mixed-effect models

gamem

Genotype analysis by mixed-effect models

ge_acv

Adjusted Coefficient of Variation as yield stability index

ge_cluster

Cluster genotypes or environments

gge

Genotype plus genotype-by-environment model

gtb

Genotype by trait biplot

ge_effects

Genotype-environment effects

ge_factanal

Stability analysis and environment stratification

ge_means

Genotype-environment means

ge_plot

Graphical analysis of genotype-vs-environment interaction

gytb

Genotype by yield*trait biplot

Huehn

Huehn's stability statistics

ge_polar

Power Law Residuals as yield stability index \loadmathjax

ge_reg

Eberhart and Russell's regression model

ge_stats

Parametric and non-parametric stability statistics

ge_winners

Genotype-environment winners

get_corvars

Generate normal, correlated variables

get_covmat

Generate a covariance matrix

get_dist

Get a distance matrix

get_model_data

Get data from a model easily

impute_missing_val

Missing value imputation

inspect

Check for common errors in multi-environment trial data

is_balanced_trial

Check if a data set is balanced

is.lpcor

Coerce to an object of class lpcor

lineplots

Fast way to create line plots

lpcor

Linear and Partial Correlation Coefficients

mahala_design

Mahalanobis distance from designed experiments

mtsi

Multi-trait stability index

make_long

Two-way table to a 'long' format

make_mat

Make a two-way table

mantel_test

Mantel test \loadmathjax

metan

Multi-Environment Trial Analysis

mgidi

Multitrait Genotype-Ideotype Distance Index

mps

Mean performance and stability in multi-environment trials

mtmps

Multi-trait mean performance and stability index

non_collinear_vars

Select a set of predictors with minimal multicollinearity

pairs_mantel

Mantel test for a set of correlation matrices

path_coeff

Path coefficients with minimal multicollinearity

performs_ammi

Additive Main effects and Multiplicative Interaction

pipe

Pipe operator

plaisted_peterson

Stability analysis based on Plaisted and Peterson (1959)

plot_blup

Plot the BLUPs for genotypes

plot_ci

Plot the confidence interval for correlation

plot_waasby

Plot WAASBY values for genotype ranking

plot.anova_joint

Several types of residual plots

plot.can_cor

Plots an object of class can_cor

plot.clustering

Plot an object of class clustering

plot.corr_coef

Create a correlation heat map

plot.correlated_vars

Plot an object of class correlated_vars

plot.cvalidation

Plot the RMSPD of a cross-validation procedure

plot.env_dissimilarity

Plot an object of class env_dissimilarity

plot.env_stratification

Plot the env_stratification model

plot.fai_blup

Multi-trait selection index

plot.gafem

Several types of residual plots

plot.gamem

Several types of residual plots

plot.ge_cluster

Plot an object of class ge_cluster

plot.sh

Plot the Smith-Hazel index

plot.waas

Several types of residual plots

plot.waasb

Several types of residual plots

plot.wsmp

Plot heat maps with genotype ranking

predict.gamem

Predict method for gamem fits

print.anova_ind

Print an object of class anova_ind

predict.gge

Predict a two-way table based on GGE model

predict.performs_ammi

Predict the means of a performs_ammi object

predict.waas

Predict the means of a waas object

predict.waasb

Predict method for waasb fits

print.ammi_indexes

Print an object of class ammi_indexes

print.Annicchiarico

Print an object of class Annicchiarico

select_pred

Selects a best subset of predictor variables.

Shukla

Shukla's stability variance parameter

Smith_Hazel

Smith-Hazel index

solve_svd

Pseudoinverse of a square matrix

split_factors

Split a data frame by factors

stars_pval

Generate significance stars from p-values

superiority

Lin e Binns' superiority index

themes

Personalized theme for ggplot2-based graphics

Thennarasu

Thennarasu's stability statistics

tidyeval

Tidy eval helpers

transpose_df

Transpose a data frame

tukey_hsd

Tukey Honest Significant Differences

utils_as

Encode variables to a specific format

utils_bind

Helper function for binding rows

utils_class

Utilities for handling with classes

utils_data_org

Utilities for data organization

utils_data

Utilities for data Copy-Pasta

utils_mat

Utilities for handling with matrices

utils_na_zero

Utilities for handling with NA and zero values

utils_num_str

Utilities for handling with numbers and strings

utils_progress

Utilities for text progress bar in the terminal

utils_rows_cols

Utilities for handling with rows and columns

utils_samples

Random Sampling

utils_sets

Utilities for set operations for many sets

utils_stats

Useful functions for computing descriptive statistics

utils_wd

Set and get the Working Directory quicky

venn_plot

Draw Venn diagrams

waas_means

Weighted Average of Absolute Scores

waas

Weighted Average of Absolute Scores

waasb

Weighted Average of Absolute Scores

wsmp

Weighting between stability and mean performance

Performs stability analysis of multi-environment trial data using parametric and non-parametric methods. Parametric methods includes Additive Main Effects and Multiplicative Interaction (AMMI) analysis by Gauch (2013) <doi:10.2135/cropsci2013.04.0241>, Ecovalence by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang (2003) <doi:10.1201/9781420040371>, geometric adaptability index by Mohammadi & Amri (2008) <doi:10.1007/s10681-007-9600-6>, joint regression analysis by Eberhart & Russel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>, genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004) method, power law residuals (POLAR) statistics by Doring et al. (2015) <doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of variation by Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>, stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, weighted average of absolute scores by Olivoto et al. (2019a) <doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>. Non-parametric methods includes superiority index by Lin & Binns (1988) <doi:10.4141/cjps88-018>, nonparametric measures of phenotypic stability by Huehn (1990) <doi:10.1007/BF00024241>, TOP third statistic by Fox et al. (1990) <doi:10.1007/BF00040364>. Functions for computing biometrical analysis such as path analysis, canonical correlation, partial correlation, clustering analysis, and tools for inspecting, manipulating, summarizing and plotting typical multi-environment trial data are also provided.

  • Maintainer: Tiago Olivoto
  • License: GPL-3
  • Last published: 2024-12-15