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()

• Installation
• Contact

To download the development version of simsam:

Use the devtools package to install the development version:

devtools::install_github("data-steve/simsam")

You are welcome to:
* submit suggestions and bug-reports at: https://bitbucket.com/campuslabs/datascience-packages/simsam/issues
* send a pull request on: https://bitbucket.com/campuslabs/datascience-packages/simsam/
* compose a friendly e-mail to: [email protected]