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Rsampling  

Ports the Workflow of "Resampling Stats" Add-in to R
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Rsampling", "0.1.1")



Attach the package and use:
library("Rsampling")
Maintained by
Paulo Prado
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-07
Latest Update: 2016-06-07
Description:
Resampling Stats (http://www.resample.com) is an add-in for running randomization tests in Excel worksheets. The workflow is (1) to define a statistic of interest that can be calculated from a data table, (2) to randomize rows ad/or columns of a data table to simulate a null hypothesis and (3) and to score the value of the statistic from many randomizations. The relative frequency distribution of the statistic in the simulations is then used to infer the probability of the observed value be generated by the null process (probability of Type I error). This package intends to translate this logic for R for teaching purposes. Keeping the original workflow is favored over performance.
How to cite:
Paulo Prado (2016). Rsampling: Ports the Workflow of "Resampling Stats" Add-in to R. R package version 0.1.1, https://cran.r-project.org/web/packages/Rsampling. Accessed 03 Feb. 2025.
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Complete documentation for Rsampling
Functions, R codes and Examples using the Rsampling R package
Some associated functions: Rsampling . azteca . basefunctions . dplot . embauba . peucetia . pielou . rhyzophora . splot . zfsample . 
Some associated R codes: Rsampling.R . basefunctions.R . data_documentation.R . plotfunctions.R . zfsample.R .  Full Rsampling package functions and examples
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