Package: MOTE 1.2.2

MOTE: Effect Size and Confidence Interval Calculator

Measure of the Effect ('MOTE') is an effect size calculator, including a wide variety of effect sizes in the mean differences family (all versions of d) and the variance overlap family (eta, omega, epsilon, r). 'MOTE' provides non-central confidence intervals for each effect size, relevant test statistics, and output for reporting in APA Style (American Psychological Association, 2010, <ISBN:1433805618>) with 'LaTeX'. In research, an over-reliance on p-values may conceal the fact that a study is under-powered (Halsey, Curran-Everett, Vowler, & Drummond, 2015 <doi:10.1038/nmeth.3288>). A test may be statistically significant, yet practically inconsequential (Fritz, Scherndl, & Kühberger, 2012 <doi:10.1177/0959354312436870>). Although the American Psychological Association has long advocated for the inclusion of effect sizes (Wilkinson & American Psychological Association Task Force on Statistical Inference, 1999 <doi:10.1037/0003-066X.54.8.594>), the vast majority of peer-reviewed, published academic studies stop short of reporting effect sizes and confidence intervals (Cumming, 2013, <doi:10.1177/0956797613504966>). 'MOTE' simplifies the use and interpretation of effect sizes and confidence intervals.

Authors:Erin M. Buchanan [aut, cre], Amber M Gillenwaters [aut], John E. Scofield [aut], K. D. Valentine [aut]

MOTE_1.2.2.tar.gz
MOTE_1.2.2.zip(r-4.7)MOTE_1.2.2.zip(r-4.6)MOTE_1.2.2.zip(r-4.5)
MOTE_1.2.2.tgz(r-4.6-any)MOTE_1.2.2.tgz(r-4.5-any)
MOTE_1.2.2.tar.gz(r-4.7-any)MOTE_1.2.2.tar.gz(r-4.6-any)
MOTE_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
MOTE/json (API)

# Install 'MOTE' in R:
install.packages('MOTE', repos = c('https://doomlab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/doomlab/mote/issues

Datasets:
  • bn1_data - Between-Subjects One-Way ANOVA Example Data
  • bn2_data - Between-Subjects Two-Way ANOVA Example Data
  • chisq_data - Chi-Square Test Example Data
  • dept_data - Dependent t Example Data
  • indt_data - Independent-Samples t-Test Example Data
  • mix2_data - Mixed Two-Way ANOVA Example Data
  • rm1_data - Repeated Measures One-Way ANOVA Example Data
  • rm2_data - Repeated Measures Two-Way ANOVA Example Data
  • singt_data - One-Sample t-Test Example Data

On CRAN:

Conda:

confidenceeffectintervalsizestatistics

7.78 score 16 stars 1 packages 333 scripts 527 downloads 3 mentions 58 exports 0 dependencies

Last updated from:fd2b9db918. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK182
linux-release-x86_64OK124
macos-release-arm64OK99
macos-oldrel-arm64OK126
windows-develOK102
windows-releaseOK95
windows-oldrelOK91
wasm-releaseOK108

Exports:apaci_r2d_dep_t_avgd_dep_t_diffd_dep_t_diff_td_dep_t_rmd_effectd_ind_td_ind_t_td_propd_single_td_single_t_td_to_rd_z_meand_z_zd.dep.t.diffd.ind.t.td.propd.single.td.single.t.td.to.rd.z.meand.z.zdelta_ind_tdelta.ind.tepsilon_full_ssepsilon.full.SSeta_feta_full_sseta_partial_sseta.Feta.full.SSeta.partial.SSg_ind_tg.ind.tges_partial_ss_mixges_partial_ss_rmges.partial.SS.mixges.partial.SS.rmh_proph.propoddsodds_ratioomega_fomega_full_ssomega_g_ss_rmomega_partial_ss_bnomega_partial_ss_rmomega.Fomega.full.SSomega.gen.SS.rmomega.partial.SS.bnomega.partial.SS.rmr_correlr_effectr.correlv_chi_sqv.chi.sq

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Format numbers for APA-style reportingapa
Between-Subjects One-Way ANOVA Example Databn1_data
Between-Subjects Two-Way ANOVA Example Databn2_data
Chi-Square Test Example Datachisq_data
Confidence interval for R^2 (exported helper)ci_r2
Cohen's d for Paired t Using the Average SD Denominatord.dep.t.avg d_dep_t_avg
Cohen's d for Paired t Using the SD of Difference Scoresd.dep.t.diff d_dep_t_diff
Cohen's d from t for Paired Samples Using the SD of Difference Scoresd_dep_t_diff_t
Cohen's d for Paired t Controlling for Correlation (Repeated Measures)d_dep_t_rm
General interface for Cohen's dd_effect
Cohen's d for Independent Samples Using the Pooled SDd_ind_t
Cohen's d from t for Independent Samples (Pooled SD)d.ind.t.t d_ind_t_t
Cohen's d (SMD) for Independent Proportions (Binary Outcomes)d.prop d_prop
Cohen's d for One-Sample t from Summary Statsd.single.t d_single_t
Cohen's d from t for One-Sample t-Testd.single.t.t d_single_t_t
r and Coefficient of Determination (R2) from dd.to.r d_to_r
Cohen's d for Z-test from Population Mean and SDd.z.mean d_z_mean
Cohen's d from z-statistic for Z-testd.z.z d_z_z
d_{delta} for Between Subjects with Control Group SD Denominatordelta.ind.t delta_ind_t
Dependent t Example Datadept_data
epsilon^2 for ANOVA from F and Sum of Squaresepsilon.full.SS epsilon_full_ss
eta^2 and Coefficient of Determination (R^2) for ANOVA from Feta.F eta_f
eta^2 for ANOVA from F and Sum of Squareseta.full.SS eta_full_ss
eta^2_p for ANOVA from F and Sum of Squareseta.partial.SS eta_partial_ss
d_g Corrected for Independent tg.ind.t g_ind_t
eta^2_{G} (Partial Generalized Eta-Squared) for Mixed Design ANOVA from Fges.partial.SS.mix ges_partial_ss_mix
eta^2_{G} (Partial Generalized Eta-Squared) for Repeated-Measures ANOVA from Fges.partial.SS.rm ges_partial_ss_rm
Cohen's h for Independent Proportionsh.prop h_prop
Independent-Samples t-Test Example Dataindt_data
Mixed Two-Way ANOVA Example Datamix2_data
Odds Ratio from 2x2 Tableodds odds_ratio
omega^2 for ANOVA from Fomega.F omega_f
omega^2 for One-Way and Multi-Way ANOVA from Fomega.full.SS omega_full_ss
omega^2_G (Generalized Omega Squared) for Multi-Way and Mixed ANOVA from Fomega.gen.SS.rm omega_g_ss_rm
omega^2_p (Partial Omega Squared) for Between-Subjects ANOVA from Fomega.partial.SS.bn omega_partial_ss_bn
omega^2_p (Partial Omega Squared) for Repeated Measures ANOVA from Fomega.partial.SS.rm omega_partial_ss_rm
r to Coefficient of Determination (R^2) from Fr.correl r_correl
r-family effect size wrapperr_effect
Repeated Measures One-Way ANOVA Example Datarm1_data
Repeated Measures Two-Way ANOVA Example Datarm2_data
One-Sample t-Test Example Datasingt_data
V for Chi-Squarev.chi.sq v_chi_sq