Package: metaConvert 1.0.2
metaConvert: An Automatic Suite for Estimation of Various Effect Size Measures
Automatically estimate 11 effect size measures from a well-formatted dataset. Various other functions can help, for example, removing dependency between several effect sizes, or identifying differences between two datasets. This package is mainly designed to assist in conducting a systematic review with a meta-analysis but can be useful to any researcher interested in estimating an effect size.
Authors:
metaConvert_1.0.2.tar.gz
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metaConvert.pdf |metaConvert.html✨
metaConvert/json (API)
NEWS
# Install 'metaConvert' in R: |
install.packages('metaConvert', repos = c('https://corentinjgosling.r-universe.dev', 'https://cloud.r-project.org')) |
- df.compare1 - Fictitious dataset 1
- df.compare2 - Fictitious dataset 2
- df.haza - Meta-analytic dataset inspired from Haza and colleagues
- df.short - Short version of the df.haza dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 days agofrom:b5e3aba945. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win | NOTE | Nov 18 2024 |
R-4.5-linux | NOTE | Nov 18 2024 |
R-4.4-win | NOTE | Nov 18 2024 |
R-4.4-mac | NOTE | Nov 18 2024 |
R-4.3-win | NOTE | Nov 18 2024 |
R-4.3-mac | NOTE | Nov 18 2024 |
Exports:aggregate_dfcompare_dfconvert_dfdata_extraction_sheetes_from_2x2es_from_2x2_propes_from_2x2_sumes_from_ancova_fes_from_ancova_f_pvales_from_ancova_md_cies_from_ancova_md_pvales_from_ancova_md_sdes_from_ancova_md_sees_from_ancova_means_cies_from_ancova_means_sdes_from_ancova_means_sd_pooled_adjes_from_ancova_means_sd_pooled_crudees_from_ancova_means_sees_from_ancova_tes_from_ancova_t_pvales_from_anova_fes_from_anova_pvales_from_beta_stdes_from_beta_unstdes_from_cases_timees_from_chisqes_from_chisq_pvales_from_cohen_des_from_cohen_d_adjes_from_etasqes_from_etasq_adjes_from_fisher_zes_from_hedges_ges_from_md_cies_from_md_pvales_from_md_sdes_from_md_sees_from_mean_change_cies_from_mean_change_pvales_from_mean_change_sdes_from_mean_change_sees_from_means_cies_from_means_ci_pre_postes_from_means_sdes_from_means_sd_pooledes_from_means_sd_pre_postes_from_means_sees_from_means_se_pre_postes_from_med_min_maxes_from_med_min_max_quartses_from_med_quartses_from_ores_from_or_cies_from_or_pvales_from_or_sees_from_paired_fes_from_paired_f_pvales_from_paired_tes_from_paired_t_pvales_from_pearson_res_from_phies_from_plot_ancova_meanses_from_plot_meanses_from_pt_bis_res_from_pt_bis_r_pvales_from_rr_cies_from_rr_pvales_from_rr_sees_from_student_tes_from_student_t_pvales_from_user_adjes_from_user_crudees_variab_from_means_cies_variab_from_means_sdes_variab_from_means_sesee_input_datasummary.metaConvert
Dependencies:backportsbase64encbitbit64bslibcachemcellrangercheckmateclicliprcompareDFcpp11crayoncurldata.tabledigestdplyrestimrawevaluatefansifastmapfontawesomeforcatsforeignfsgenericsgluehavenhighrhmshtmlTablehtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclemagrittrmathjaxrMatrixmemoisemetadatmetaformimemvtnormnlmenumDerivopenxlsxpbapplypillarpkgconfigprettyunitsprogresspurrrR.methodsS3R.ooR.utilsR6rappdirsRcppreadrreadxlrematchriorlangrmarkdownrstudioapisassstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsvroomwithrwritexlxfunyamlzip