# WebPower v0.5

0

Monthly downloads

## Basic and Advanced Statistical Power Analysis

This is a collection of tools for conducting both basic and advanced statistical power analysis including correlation, proportion, t-test, one-way ANOVA, two-way ANOVA, linear regression, logistic regression, Poisson regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. It also serves as the engine for conducting power analysis online at <https://webpower.psychstat.org>.

## Functions in WebPower

Name | Description | |

WebPower-package | Basic and Advanced Statistical Power Analysis | |

wp.effect.CRT2arm | Effect size calculatator based on raw data for Cluster Randomized Trials with 2 Arms | |

summary.power | Summary Statistical Power Analysis Results | |

wp.anova | Statistical Power Analysis for One-way ANOVA | |

wp.anova.count | Statistical Power Analysis for One-way ANOVA with Count Data | |

wp.effect.CRT3arm | Effect size calculatator based on raw data for Cluster Randomized Trials with 3 Arms | |

wp.sem.chisq | Statistical Power Analysis for Structural Equation Modeling based on Chi-Squared Test | |

wp.mc.t | Power analysis for t-test based on Monte Carlo simulation | |

wp.logistic | Statistical Power Analysis for Logistic Regression | |

wp.mediation | Statistical Power Analysis for Simple Mediation | |

wp.mc.sem.basic | Statistical Power Analysis for Structural Equation Modeling / Mediation based on Monte Carlo Simulation | |

plot.lcs.power | Plot the power curve for Latent Change Score Models | |

wp.regression | Statistical Power Analysis for Linear Regression | |

wp.blcsm | Statistical Power Curve for Bivariate Latent Change Score Models based on Monte Carlo Simulation | |

wp.sem.rmsea | Statistical Power Analysis for Structural Equation Modeling based on RMSEA | |

wp.kanova | Power analysis for two-way, three-way and k-way ANOVA | |

wp.lcsm | Statistical Power Curve for Univariate Latent Change Score Models based on Monte Carlo Simulation | |

wp.correlation | Statistical Power Analysis for Correlation | |

wp.mrt2arm | Statistical Power Analysis for Multisite Randomized Trials with 2 Arms | |

wp.mmrm | Power analysis for longitudinal data analysis | |

wp.t | Statistical Power Analysis for t-Tests | |

wp.rmanova | Statistical Power Analysis for Repeated Measures ANOVA | |

wp.effect.MRT2arm | Effect size calculatator based on raw data for Multisite Randomized Trials with 2 Arms | |

wp.effect.MRT3arm | Effect size calculatator based on raw data for Multisite Randomized Trials with 3 Arms | |

wp.popPar | Extract Population Value Table | |

wp.mc.sem.boot | Statistical Power Analysis for Structural Equation Modeling / Mediation based on Monte Carlo Simulation: bootstrap method | |

wp.mc.sem.power.curve | Statistical Power Curve for Structural Equation Modeling / Mediation based on Monte Carlo Simulation | |

wp.mrt3arm | Statistical Power Analysis for Multisite Randomized Trials with 3 Arms | |

wp.poisson | Statistical Power Analysis for Poisson Regression | |

wp.prop | Statistical Power Analysis for Tests of Proportions | |

nuniroot | Sove An Single Equation | |

estCRT2arm | Estimate multilevel effect size from data | |

plot.webpower | To plot Statistical Power Curve | |

MRT2 | Example Data For MRT With 2 Arms | |

wp.anova.binary | Statistical Power Analysis for One-way ANOVA with Binary Data | |

MRT3 | Example Data For MRT With 3 Arms | |

wp.crt2arm | Statistical Power Analysis for Cluster Randomized Trials with 2 Arms | |

CRT3 | Example Data For CRT With 3 Arms | |

wp.crt3arm | Statistical Power Analysis for Cluster Randomized Trials with 3 Arms | |

CRT2 | Example Data For CRT With 2 Arms | |

print.webpower | To Print Statistical Power Analysis Results | |

No Results! |

## Last month downloads

## Details

Date | 2018-04-01 |

License | GPL (>= 3) |

URL | https://webpower.psychstat.org |

Encoding | UTF-8 |

LazyLoad | yes |

LazyData | yes |

NeedsCompilation | no |

Packaged | 2018-04-13 14:22:24 UTC; johnny |

Repository | CRAN |

Date/Publication | 2018-04-16 09:08:06 UTC |

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