pwr2ppl0.6.0 package

Power Analyses for Common Designs (Power to the People)

depcorr0

Compute Power for Comparing Two Dependent Correlations, No Variables i...

depcorr1

Compute Power for Comparing Two Dependent Correlations, One Variable i...

indb

Power for Comparing Independent Coefficients in Multiple Regression wi...

indcorr

Compute Power for Comparing Two Independent Correlations Takes correla...

depb

Power for Comparing Dependent Coefficients in Multiple Regression with...

indR2

Power for Comparing Independent R2 in Multiple Regression with Two or ...

indt

Compute power for an Independent Samples t-test Takes means, sds, and ...

regint

Compute Power for Regression Interaction (Correlation/Coefficient Appr...

regintR2

Compute Power for Regression Interaction (R2 Change Approach)

tfromd

Compute power for a t test using d statistic Takes d, sample size rang...

corr

Compute power for Pearson's Correlation Takes correlation and range of...

Chi2X3

Compute power for an Chi Square 2x3 Takes proportions for each group. ...

ChiES

Compute power for Chi Square Based on Effect Size Takes phi, degrees o...

d_prec

Compute Precision Analyses for Standardized Mean Differences

anova1f_3

Compute power for a One Factor ANOVA with three levels. Takes means, s...

anova1f_3c

Compute power for a One Factor ANOVA with three levels and contrasts. ...

anova1f_4

Compute power for a One Factor Between Subjects ANOVA with four levels...

ChiGOF

Compute power for an Chi Square Goodness of Fit Takes proportions for ...

anova1f_4c

Compute power for a One Factor ANOVA with four levels. Takes means, sd...

anova2x2_se

Compute power for Simple Effects in a Two by Two Between Subjects ANOV...

anova2x2

Compute power for a Two by Two Between Subjects ANOVA. Takes means, sd...

Assumptions_resample

Compute power for Multiple Regression with Violated assumptions using ...

Assumptions

Compute power for Multiple Regression with Violated assumptions (Beta)

Chi2x2

Compute power for an Chi Square 2x2 Takes proportions for each group. ...

lmm1F

Compute power for a One Factor Within Subjects Linear Mixed Model with...

lmm1Ftrends

Compute power for a One Factor Within Subjects LMM Trends with up to f...

lmm1w1b

Compute power for a One Factor Within Subjects and One Factor Between ...

lmm2F

Compute power for a Two Factor Within Subjects Using Linear Mixed Mode...

lmm2Fse

Compute power for a Two Factor Within Subjects Using Linear Mixed Mode...

LRcat

Compute Power for Logistic Regression with a Single Categorical Predic...

LRcont

Compute Power for Logistic Regression with Continuous Predictors

MANOVA1f

Compute power for a One Factor MANOVA with up to two levels and up to ...

md_prec

Compute Precision Analyses for Mean Differences

med

Compute Power for Mediated (Indirect) Effects Requires correlations be...

medjs_paths

Compute Power for Mediated (Indirect) Effects Using Joint Significance...

medjs

Compute Power for Mediated (Indirect) Effects Using Joint Significance...

medserial_paths

Compute Power for Serial Mediation Effects Requires correlations betwe...

medserial

Compute Power for Serial Mediation Effects Requires correlations betwe...

modmed14

Compute Power for Conditional Process Model 14 Joint Significance Requ...

modmed7

Compute Power for Model 7 Conditional Processes Using Joint Significan...

MRC_all

Compute power for Multiple Regression with Up to Five Predictors Requi...

MRC_short2

Compute Multiple Regression shortcuts with three predictors for Ind Co...

MRC_shortcuts

Compute Multiple Regression shortcuts with three predictors (will expa...

R2ch

Compute power for R2 change in Multiple Regression (up to three predic...

MRC

Compute power for Multiple Regression with up to Five Predictors Examp...

pairt

Compute power for a Paired t-test Takes means, sd, and sample sizes. A...

prop1

Compute power for a single sample proportion test Takes phi, degrees o...

propind

Compute power for Tests of Two Independent Proportions Takes phi, degr...

r_prec

Compute Precision Analyses for Correlations This approach simply loops...

R2_prec

Compute Precision Analyses for R-Squared This approach simply loops a ...

win1bg1

Compute power for a One Factor Within Subjects and One Factor Between ...

win1F

Compute power for a One Factor Within Subjects ANOVA with up to four l...

win1Ftrends

Compute power for a One Factor Within Subjects Trends with up to four ...

win2F

Compute power for a Two Factor Within Subjects ANOVA with up to two by...

win2Fse

Compute power for Simple Effects in Two Factor Within Subjects ANOVA w...

Statistical power analysis for designs including t-tests, correlations, multiple regression, ANOVA, mediation, and logistic regression. Functions accompany Aberson (2019) <doi:10.4324/9781315171500>.

  • Maintainer: Chris Aberson
  • License: GPL (>= 2)
  • Last published: 2026-01-27