Package: MOTE 1.0.2

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. For more information, visit <https://www.aggieerin.com/shiny-server>.

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

MOTE_1.0.2.tar.gz
MOTE_1.0.2.zip(r-4.5)MOTE_1.0.2.zip(r-4.4)MOTE_1.0.2.zip(r-4.3)
MOTE_1.0.2.tgz(r-4.4-any)MOTE_1.0.2.tgz(r-4.3-any)
MOTE_1.0.2.tar.gz(r-4.5-noble)MOTE_1.0.2.tar.gz(r-4.4-noble)
MOTE_1.0.2.tgz(r-4.4-emscripten)MOTE_1.0.2.tgz(r-4.3-emscripten)
MOTE.pdf |MOTE.html
MOTE/json (API)

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

Peer review:

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 Example Data
  • dept_data - Dependent t Example Data
  • indt_data - Independent t Example Data
  • mix2_data - Mixed Two-way ANOVA Example Data
  • rm1_data - Repeated Measures Oneway ANOVA Example Data
  • rm2_data - Repeated Measures Two-way ANOVA Example Data
  • singt_data - Single Sample t Example Data

On CRAN:

confidenceeffectintervalsizestatistics

6.69 score 17 stars 1 packages 317 scripts 476 downloads 3 mentions 29 exports 81 dependencies

Last updated 3 years agofrom:b6256ab4e0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:apad.dep.t.avgd.dep.t.diffd.dep.t.diff.td.dep.t.rmd.ind.td.ind.t.td.propd.single.td.single.t.td.to.rd.z.meand.z.zdelta.ind.tepsilon.full.SSeta.Feta.full.SSeta.partial.SSg.ind.tges.partial.SS.mixges.partial.SS.rmoddsomega.Fomega.full.SSomega.gen.SS.rmomega.partial.SS.bnomega.partial.SS.rmr.correlv.chi.sq

Dependencies:abindarmbackportsBHbootbroomcarcarDataclicodacolorspacecowplotcpp11DerivdigestdoBydplyrezfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelavaanlifecyclelme4magrittrMASSMatrixMatrixModelsMBESSmgcvmimicrobenchmarkminqamnormtmodelrmunsellmvtnormnlmenloptrnnetnumDerivOpenMxpbivnormpbkrtestpillarpkgconfigplyrpurrrquadprogquantregR6RColorBrewerRcppRcppEigenRcppParallelreshapereshape2rlangrpfscalessemsemToolsSparseMStanHeadersstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
APA Formatapa
Between Subjects One-way ANOVA Example Databn1_data
Between Subjects Two-way ANOVA Example Databn2_data
Chi-Square Example Datachisq_data
d for Dependent t with Average SD Denominatord.dep.t.avg
d for Dependent t with SD Difference Scores Denominatord.dep.t.diff
d from t for Repeated Measures with SD Difference Scores Denominatord.dep.t.diff.t
d for Repeated Measures with Average SD Denominatord.dep.t.rm
d for Between Subjects with Pooled SD Denominatord.ind.t
d from t for Between Subjectsd.ind.t.t
d for Independent Proportionsd.prop
d for Single t from Meansd.single.t
d for Single t from td.single.t.t
r and Coefficient of Determination (R2) from dd.to.r
d for Z-test from Population Mean and SDd.z.mean
d from z-statistic for Z-testd.z.z
d-delta for Between Subjects with Control Group SD Denominatordelta.ind.t
Dependent t Example Datadept_data
Epsilon for ANOVA from F and Sum of Squaresepsilon.full.SS
Eta and Coefficient of Determination (R2) for ANOVA from Feta.F
Eta for ANOVA from F and Sum of Squareseta.full.SS
Partial Eta Squared for ANOVA from F and Sum of Squareseta.partial.SS
d-g Corrected for Independent tg.ind.t
Partial Generalized Eta-Squared for Mixed Design ANOVA from Fges.partial.SS.mix
Partial Generalized Eta-Squared for ANOVA from Fges.partial.SS.rm
Independent t Example Dataindt_data
Mixed Two-way ANOVA Example Datamix2_data
Chi-Square Odds Ratiosodds
Omega Squared for ANOVA from Fomega.F
Omega Squared for One-Way and Multi-Way ANOVA from Fomega.full.SS
Generalized Omega Squared for Multi-Way and Mixed ANOVA from Fomega.gen.SS.rm
Partial Omega Squared for Between Subjects ANOVA from Fomega.partial.SS.bn
Partial Omega Squared for Repeated Measures ANOVA from Fomega.partial.SS.rm
r to Coefficient of Determination (R2) from Fr.correl
Repeated Measures Oneway ANOVA Example Datarm1_data
Repeated Measures Two-way ANOVA Example Datarm2_data
Single Sample t Example Datasingt_data
V for Chi-Squarev.chi.sq