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sampler  

Sample Design, Drawing & Data Analysis Using Data Frames
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sampler", "0.2.4")



Attach the package and use:
library("sampler")
Maintained by
Michael Baldassaro
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-31
Latest Update: 2019-09-15
Description:
Determine sample sizes, draw samples, and conduct data analysis using data frames. It specifically enables you to determine simple random sample sizes, stratified sample sizes, and complex stratified sample sizes using a secondary variable such as population; draw simple random samples and stratified random samples from sampling data frames; determine which observations are missing from a random sample, missing by strata, duplicated within a dataset; and perform data analysis, including proportions, margins of error and upper and lower bounds for simple, stratified and cluster sample designs.
How to cite:
Michael Baldassaro (2018). sampler: Sample Design, Drawing & Data Analysis Using Data Frames. R package version 0.2.4, https://cran.r-project.org/web/packages/sampler
Previous versions and publish date:
0.2.0 (2018-05-31 22:38), 0.2.2 (2018-07-20 19:10), 0.2.3 (2019-01-27 07:20)
Other packages that cited sampler R package
View sampler citation profile
Other R packages that sampler depends, imports, suggests or enhances
Functions, R codes and Examples using the sampler R package
Some associated functions: albania . cpro . dedupe . dupe . opening . psampcalc . rmissing . rpro . rsamp . rsampcalc . smissing . spro . ssamp . ssampcalc . 
Some associated R codes: cpro.R . data.R . dedupe.R . dupe.R . psampcalc.R . rmissing.R . rpro.R . rsamp.R . rsampcalc.R . sampler.R . smissing.R . spro.R . ssamp.R . ssampcalc.R .  Full sampler package functions and examples
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