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pwr4exp  

Power Analysis for Research Experiments
View on CRAN: Click here


Download and install pwr4exp package within the R console
Install from CRAN:
install.packages("pwr4exp")

Install from Github:
library("remotes")
install_github("cran/pwr4exp")

Install by package version:
library("remotes")
install_version("pwr4exp", "0.1.0")



Attach the package and use:
library("pwr4exp")
Maintained by
Kai Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-11
Latest Update: 2024-10-11
Description:
Provides tools for calculating statistical power and determining sample size for a variety of experimental designs used in agricultural and biological research, including completely randomized, block, and split-plot designs. Supports customized designs and allows specification of main effects, interactions, and contrasts for accurate power analysis.
How to cite:
Kai Wang (2024). pwr4exp: Power Analysis for Research Experiments. R package version 0.1.0, https://cran.r-project.org/web/packages/pwr4exp. Accessed 07 Nov. 2024.
Previous versions and publish date:
No previous versions
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Complete documentation for pwr4exp
Functions, R codes and Examples using the pwr4exp R package
Full pwr4exp package functions and examples
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