Caching and Distributing Statistical Analyses in R Export

@article{citeulike:5033503, abstract = {We present the <b>cacher</b> package for <b>R</b>, which provides tools for caching statistical analyses and for distributing these analyses to others in an efficient manner. The <b>cacher</b> package takes objects created by evaluating <b>R</b> expressions and stores them in key-value databases. These databases of cached objects can subsequently be assembled into packages for distribution over the web. The <b>cacher</b> package also provides tools to help readers examine the data and code in a statistical analysis and reproduce, modify, or improve upon the results. In addition, readers can easily conduct alternate analyses of the data. We describe the design and implementation of the <b>cacher</b> package and provide two examples of how the package can be used for reproducible research.}, author = {Peng, Roger}, citeulike-article-id = {5033503}, citeulike-linkout-0 = {http://www.jstatsoft.org/v26/i07}, citeulike-linkout-1 = {http://www.jstatsoft.org/v26/i07/paper}, issn = {1548-7660}, journal = {Journal of Statistical Software}, keywords = {caching, reproducible\_research, sweave}, month = {July}, number = {7}, pages = {1--24}, posted-at = {2009-07-01 15:17:13}, priority = {0}, title = {Caching and Distributing Statistical Analyses in R}, url = {http://www.jstatsoft.org/v26/i07}, volume = {26}, year = {2008} }

TY - JOUR ID - citeulike:5033503 L3 - citeulike-article-id:5033503 N2 - We present the <b>cacher</b> package for <b>R</b>, which provides tools for caching statistical analyses and for distributing these analyses to others in an efficient manner. The <b>cacher</b> package takes objects created by evaluating <b>R</b> expressions and stores them in key-value databases. These databases of cached objects can subsequently be assembled into packages for distribution over the web. The <b>cacher</b> package also provides tools to help readers examine the data and code in a statistical analysis and reproduce, modify, or improve upon the results. In addition, readers can easily conduct alternate analyses of the data. We describe the design and implementation of the <b>cacher</b> package and provide two examples of how the package can be used for reproducible research. IS - 7 JF - Journal of Statistical Software SN - 1548-7660 EP - 24 TI - Caching and Distributing Statistical Analyses in R VL - 26 SP - 1 KW - caching KW - reproducible_research KW - sweave AU - Peng, Roger PY - 2008/07// UR - http://www.jstatsoft.org/v26/i07 ER -