Description Usage Arguments Details Value Examples
Measures of association Pearson's r correlation Small 0.2, Medium 0.5, Large 0.8 r2 coefficient of determination Small 0.04, Medium 0.25, Large 0.64 Quelle: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444174/pdf/i1949-8357-4-3-279.pdf
Eta-Quadrat Kopie von lsr::etaSquared. Die Ergebnisse entsprechen denen von SPSS (Univariat-Partial Eta Squared)
Cohen's d and Hedges g effect size Between groups Cohen's d Small 0.2, Medium 0.5, Large 0.8, Very large 1.3 Odds ratio (OR) Small 1.5, Medium 2, Large 3 Relative risk or risk ratio (RR) R Small 2, Medium 3, Large 4 Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York:Academic Press.
| 1 2 3 4 5 6 7 8 9 10 11 | 
| x | Objekt oder Formel | 
| ... | weitere Optionen | 
| type | etaSquared2: Anova Type default ist 2 | 
| anova | etaSquared2: Ausgabe der ANOVA Tabelle | 
| x, y | formel oder x, y | 
| ... | 
Gestolen von https://cran.r-project.org/web/packages/effsize/effsize.pdf
Vector
vector
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # etaSquared 
fit1<-lm(y1~x1, anscombe)
#etaSquared2(aov (y1~x1, anscombe), anova=TRUE)
#etaSquared2(fit1, anova=TRUE)
etaSquared2(fit1 )
#require(stpvers)
set.seed(45)                        ## be reproducible
 x <- rnorm(10, 10, 1)
 y <- rnorm(10, 5, 5)
cohens.d(x, y)
varanax<-Melt2(m1+m2~nr,varana , key="time", value="m")
cohens.d(m~time, varanax )
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