statpsych
Statistical Methods for Psychologists
Implements confidence interval and sample size methods that are especially useful in psychological research but are also useful in educational, social science, business, and biological research. This package includes more than 100 confidence interval functions and more than 80 sample size functions for 1-group, 2-group, paired-samples, and multiple-group designs and for a variety of parameters including means, medians, proportions, slopes, standardized mean differences, standardized linear contrasts of means, and several measures of correlation and association. The sample size functions can be used to approximate the sample size needed to estimate a parameter or function of parameters with desired confidence interval precision or to perform a variety of hypothesis tests (directional two-sided, equivalence, superiority, noninferiority) with desired power. For details about these methods see: Statistical Methods for Psychologists, Volumes 1 – 4, < https://dgbonett.sites.ucsc.edu/>.
statpsych: Statistical Methods for Psychologists
statpsych implements confidence interval and sample size methods that are especially useful in psychological research. The methods can be applied in 1-group, 2-group, paired-samples, and multiple-group designs and to a variety of parameters including means, medians, proportions, slopes, standardized mean differences, standardized linear contrasts of means, plus several measures of correlation and association. The confidence intervals and sample size functions are applicable to single parameters as well as differences, ratios, and linear contrasts of parameters. The sample size functions can be used to approximate the sample size needed to estimate a parameter or function of parameters with desired confidence interval precision or to perform a variety of hypothesis tests (directional two-sided, equivalence, superiority, noninferiority) with desired power. For details, see: https://dgbonett.sites.ucsc.edu/.
Installation
You can install the currently-released version from CRAN with this R command:
install.packages("statpsych")
Alternatively, you can install the latest development version from GitHub with these R commands:
install.packages("devtools")
devtools::install_github("dgbonett/statpsych")
Feedback, issues, and contributions
Submit feedback, suggestions, and bugs to github here.