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:
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')) |
Bug tracker:https://github.com/doomlab/mote/issues
- 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
confidenceeffectintervalsizestatistics
Last updated 3 years agofrom:b6256ab4e0. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 22 2024 |
R-4.5-win | OK | Oct 22 2024 |
R-4.5-linux | OK | Oct 22 2024 |
R-4.4-win | OK | Oct 22 2024 |
R-4.4-mac | OK | Oct 22 2024 |
R-4.3-win | OK | Oct 22 2024 |
R-4.3-mac | OK | Oct 22 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