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metan
View on CRAN: Click
here
Download and install metan package within the R console
Install from CRAN:
install.packages("metan")
Install from Github:
library("remotes")
install_github("cran/metan")
Install by package version:
library("remotes")
install_version("metan", "1.19.0")
Attach the package and use:
library("metan")
Maintained by
Tiago Olivoto
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.metan . https://github.com/nepem-ufsc/metan/issues . https://github.com/nepem-ufsc/metan . https://nepem-ufsc.github.io/metan/ . metan citation info . metan results . metan.pdf . metan_1.19.0.tar.gz . metan_1.19.0.zip . metan_1.19.0.zip . metan_1.19.0.zip . metan_1.19.0.tgz . metan_1.19.0.tgz . metan_1.19.0.tgz . metan_1.19.0.tgz . metan_1.19.0.tgz . metan_1.19.0.tgz . metan archive . https://CRAN.R-project.org/package=metan .
First Published: 2020-01-14
Latest Update: 2023-03-05
Description:
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) , Ecovalence
by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot
analysis by Yan & Kang (2003) , geometric
adaptability index by Mohammadi & Amri (2008)
, joint regression analysis by Eberhart
& Russel (1966) ,
genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's
(2004) method, power law residuals (POLAR) statistics by Doring et al.
(2015) , scale-adjusted coefficient of
variation by Doring & Reckling (2018) ,
stability variance by Shukla (1972) ,
weighted average of absolute scores by Olivoto et al. (2019a)
, and multi-trait stability index by
Olivoto et al. (2019b) .
Non-parametric methods includes superiority index by Lin & Binns
(1988) , nonparametric measures of phenotypic
stability by Huehn (1990)
, TOP third
statistic by Fox et al. (1990) . 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.
How to cite:
Tiago Olivoto (2020). metan: Multi Environment Trials Analysis. R package version 1.19.0, https://cran.r-project.org/web/packages/metan. Accessed 02 Apr. 2025.
Previous versions and publish date:
1.2.1 (2020-01-14 11:20), 1.3.0 (2020-02-11 15:30), 1.4.0 (2020-03-17 18:30), 1.5.0 (2020-04-12 08:00), 1.5.1 (2020-04-25 16:40), 1.6.0 (2020-05-21 06:50), 1.6.1 (2020-06-08 01:20), 1.7.0 (2020-07-18 23:20), 1.8.1 (2020-09-10 17:00), 1.9.0 (2020-09-18 17:30), 1.10.0 (2020-10-24 06:30), 1.11.0 (2020-12-12 16:00), 1.12.0 (2021-01-27 12:30), 1.13.0 (2021-03-27 21:20), 1.14.0 (2021-06-07 08:50), 1.15.0 (2021-07-15 19:10), 1.16.0 (2021-11-10 08:40), 1.17.0 (2022-06-10 08:40), 1.18.0 (2023-03-05 23:00)
Other packages that cited metan R package
View metan citation profile
Other R packages that metan depends,
imports, suggests or enhances
Complete documentation for metan
Functions, R codes and Examples using
the metan R package
Some associated functions: Annicchiarico . Fox . Huehn . Schmildt . Select_helper . Shukla . Smith_Hazel . Thennarasu . acv . ammi_indexes . anova_ind . anova_joint . arrange_ggplot . as.lpcor . barplots . bind_cv . blup_indexes . can_corr . clustering . coincidence_index . colindiag . comb_vars . corr_ci . corr_coef . corr_focus . corr_plot . corr_ss . corr_stab_ind . correlated_vars . covcor_design . cv_ammi . cv_ammif . cv_blup . data_alpha . data_g . data_ge . data_ge2 . data_simula . desc_stat . doo . ecovalence . env_dissimilarity . env_stratification . fai_blup . find_outliers . gafem . gai . gamem . gamem_met . ge_acv . ge_cluster . ge_details . ge_effects . ge_factanal . ge_means . ge_plot . ge_polar . ge_reg . ge_stats . ge_winners . get_corvars . get_covmat . get_dist . get_model_data . gge . gtb . gytb . impute_missing_val . inspect . int.effects . is.lpcor . is_balanced_trial . lineplots . lpcor . mahala . mahala_design . make_long . make_mat . mantel_test . meansGxE . metan-package . mgidi . mps . mtmps . mtsi . network_plot . non_collinear_vars . pairs_mantel . path_coeff . performs_ammi . pipe . plot.anova_joint . plot.can_cor . plot.clustering . plot.corr_coef . plot.correlated_vars . plot.cvalidation . plot.env_dissimilarity . plot.env_stratification . plot.fai_blup . plot.gafem . plot.gamem . plot.ge_cluster . plot.ge_effects . plot.ge_factanal . plot.ge_reg . plot.gge . plot.mgidi . plot.mtmps . plot.mtsi . plot.path_coeff . plot.performs_ammi . plot.resp_surf . plot.sh . plot.waas . plot.waasb . plot.wsmp . plot_blup . plot_ci . plot_eigen . plot_scores . plot_waasby . predict.gamem . predict.gge . predict.performs_ammi . predict.waas . predict.waasb . print.Annicchiarico . print.Fox . print.Huehn . print.Schmildt . print.Shukla . print.Thennarasu . print.ammi_indexes . print.anova_ind . print.anova_joint . print.can_cor . print.coincidence . print.colindiag . print.corr_coef . print.ecovalence . print.env_dissimilarity . print.env_stratification . print.gamem . print.ge_factanal . print.ge_reg . print.ge_stats . print.lpcor . print.mgidi . print.mtmps . print.mtsi . print.path_coeff . print.performs_ammi . print.sh . print.superiority . print.waas . print.waas_means . print.waasb . reexports . reorder_cormat . resca . residual_plots . resp_surf . select_pred . solve_svd . split_factors . stars_pval . superiority . themes . tidyeval . transpose_df . tukey_hsd . utils_as . utils_bind . utils_class . utils_data . utils_data_org . utils_mat . utils_na_zero . utils_num_str . utils_progress . utils_rows_cols . utils_samples . utils_sets . utils_stats . utils_wd . venn_plot . waas . waas_means . waasb . wsmp .
Some associated R codes: Annicchiarico.R . Fox.R . Huehn.R . Schmildt.R . Shukla.R . Smith_Hazel.R . Thennarasu.R . acv.R . ammi_indexes.R . anova_ind.R . anova_joint.R . arrange_ggplot.R . as.lpcor.R . barplots.R . bind_cv.R . blup_indexes.R . can_cor.R . clustering.R . coincidence_index.R . colindiag.R . comb_vars.R . corr_ci.R . corr_coef.R . corr_plot.R . corr_ss.R . corr_stab_ind.R . correlated_vars.R . covcor_design.R . cv_ammi.R . cv_ammif.R . cv_blup.R . data_simula.R . desc_stat.R . ecovalence.R . env_dissimilarity.R . env_stratification.R . fai_blup.R . find_outliers.R . gafem.R . gai.R . gamem.R . gamem_met.R . ge_acv.R . ge_cluster.R . ge_details.R . ge_effects.R . ge_factanal.R . ge_means.R . ge_plot.R . ge_polar.R . ge_reg.R . ge_stats.R . ge_winners.R . get_corvars.R . get_covmat.R . get_dist.R . get_model_data.R . gge.R . gtb.R . gytb.R . imput_miss_val.R . inspect.R . is.lpcorr.R . lineplots.R . lpcorr.R . mahala.R . mahala_design.R . make_long.R . make_mat.R . mantel_test.R . mgidi.R . mps.R . mtmps.R . mtsi.R . non_collinear_vars.R . pairs_mantel.R . path_coeff.R . performs_ammi.R . plot_blup.R . plot_ci.R . plot_eigen.R . plot_scores.R . plot_waasby.R . resca.R . residual_plots.R . resp_surf.R . select_helpers.R . select_pred.R . solve_svd.R . split_factors.R . superiority.R . themes.R . transpose_df.R . tukey_hsd.R . utilities.R . utils-pipe.R . utils-tidy-eval.R . utils_as.R . utils_bind.R . utils_data_org.R . utils_na.R . utils_progress.R . utils_sample.R . utils_sets.R . venn_plot.R . waas.R . waas_means.R . waasb.R . wsmp.R . zzz.R . Full metan package functions and examples
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