petermr/CEVOpen

Potentially Useful Data Reporting tools

Opened this issue · 1 comments

I googled "data reporting "tidy tables" NOT furniture" and ended up finding something that looks like it may be of use/interest to some of you. (It's all greek to me, but just in case, here are some links):

https://cran.r-project.org/

  • _R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project homepage for further information.
  • CRAN is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R. Please use the CRAN mirror nearest to you to minimize network load._

http://cygwin.freemirror.org/CRAN/web/packages/available_packages_by_name.html
https://cran.r-project.org/web/packages/available_packages_by_date.html

This page https://cran.r-project.org/web/packages/spbabel/index.html
http://cygwin.freemirror.org/CRAN/web/packages/spbabel/index.html

Let me know if you find anything useful. Just curious.

Tidy Data

https://www.jstatsoft.org/article/view/v059i10
Abstract:
A huge amount of effort is spent cleaning data to get it ready for analysis, but there has been little research on how to make data cleaning as easy and effective as possible. This paper tackles a small, but important, component of data cleaning: data tidying. Tidy datasets are easy to manipulate, model and visualize, and have a specific structure: each variable is a column, each observation is a row, and each type of observational unit is a table. This framework makes it easy to tidy messy datasets because only a small set of tools are needed to deal with a wide range of un-tidy datasets. This structure also makes it easier to develop tidy tools for data analysis, tools that both input and output tidy datasets. The advantages of a consistent data structure and matching tools are demonstrated with a case study free from mundane data manipulation chores.