README.md
In data-steve/simsam: Simulates Random, Correlated Data from Existing Data Set
simsam is a data simulation tool used to generate random data
sets that maintain similar structure to an origin data set. Instead of the typical bootstrap samples that sample rows of data with replacement, to get a more simulation feel, we do bootstrap sampling on individual columns in lieu sampling from formal distribution,e.g., rnorm()
Table of Contents
Installation
To download the development version of simsam:
Use the devtools package to install the development version:
devtools::install_github("data-steve/simsam")
data-steve/simsam documentation built on May 14, 2019, 7:08 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
simsam is a data simulation tool used to generate random data
sets that maintain similar structure to an origin data set. Instead of the typical bootstrap samples that sample rows of data with replacement, to get a more simulation feel, we do bootstrap sampling on individual columns in lieu sampling from formal distribution,e.g., rnorm()
Table of Contents
Installation
To download the development version of simsam:
Use the devtools package to install the development version:
devtools::install_github("data-steve/simsam")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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