Man pages for chrisaberson/pwr2ppl
Power Analyses for Common Designs (Power to the People)

ancCompute Power for One or Two Factor ANCOVA with a single...
anova1f_3Compute power for a One Factor ANOVA with three levels. Takes...
anova1f_3cCompute power for a One Factor ANOVA with three levels and...
anova1f_4Compute power for a One Factor Between Subjects ANOVA with...
anova1f_4cCompute power for a One Factor ANOVA with four levels. Takes...
anova2x2Compute power for a Two by Two Between Subjects ANOVA. Takes...
anova2x2_seCompute power for Simple Effects in a Two by Two Between...
Chi2x2Compute power for an Chi Square 2x2 Takes proportions for...
Chi2X3Compute power for an Chi Square 2x3 Takes proportions for...
ChiESCompute power for Chi Square Based on Effect Size Takes phi,...
ChiGOFCompute power for an Chi Square Goodness of Fit Takes...
corrCompute power for Pearson's Correlation Takes correlation and...
depbPower for Comparing Dependent Coefficients in Multiple...
depcorr0Compute Power for Comparing Two Dependent Correlations, No...
depcorr1Compute Power for Comparing Two Dependent Correlations, One...
d_precCompute Precision Analyses for Standardized Mean Differences
indbPower for Comparing Independent Coefficients in Multiple...
indcorrCompute Power for Comparing Two Independent Correlations...
indR2Power for Comparing Independent R2 in Multiple Regression...
indtCompute power for an Independent Samples t-test Takes means,...
lmm1FCompute power for a One Factor Within Subjects Linear Mixed...
lmm1FtrendsCompute power for a One Factor Within Subjects LMM Trends...
lmm1w1bCompute power for a One Factor Within Subjects and One Factor...
lmm2FCompute power for a Two Factor Within Subjects Using Linear...
lmm2FseCompute power for a Two Factor Within Subjects Using Linear...
LRcatCompute Power for Logistic Regression with a Single...
LRcontCompute Power for Logistic Regression with Continuous...
MANOVA1fCompute power for a One Factor MANOVA with up to two levels...
md_precCompute Precision Analyses for Mean Differences
medCompute Power for Mediated (Indirect) Effects Requires...
MRCCompute power for Multiple Regression with up to Five...
MRC_allCompute power for Multiple Regression with Up to Five...
MRC_short2Compute Multiple Regression shortcuts with three predictors...
MRC_shortcutsCompute Multiple Regression shortcuts with three predictors...
pairtCompute power for a Paired t-test Takes means, sd, and sample...
prop1Compute power for a single sample proportion test Takes phi,...
propindCompute power for Tests of Two Independent Proportions Takes...
R2chCompute power for R2 change in Multiple Regression (up to...
R2_precCompute Precision Analyses for R-Squared This approach simply...
regintCompute Power for Regression Interaction...
regintR2Compute Power for Regression Interaction (R2 Change Approach)
r_precCompute Precision Analyses for Correlations This approach...
tfromdCompute power for a t test using d statistic Takes d, sample...
win1bg1Compute power for a One Factor Within Subjects and One Factor...
win1FCompute power for a One Factor Within Subjects ANOVA with up...
win1FtrendsCompute power for a One Factor Within Subjects Trends with up...
win2FCompute power for a Two Factor Within Subjects ANOVA with up...
win2FseCompute power for Simple Effects in Two Factor Within...
chrisaberson/pwr2ppl documentation built on July 2, 2019, 3:54 p.m.