(This article was first published on CoolStatsBlog » R, and kindly contributed to R-bloggers)
Recently, Greg Laughlin, the founder of a new statistical software called Statwing, let me try his product for free. I happen to like free things very much (the college student is strong within me) so I gave it a try.
I mostly like how easy it is to use: For instance, to relate two attributes like Age and Income, you click Age, click Income, and click Relate.
So what can Statwing do?
- Summarize an attribute (like “age”): totals, averages, standard deviation, confidence intervals, percentiles, visual graphs like the one below
- Relate two columns together (“Openness” vs “Extraversion”)
- Plots the two attributes against eachother to see how they relate. It will include the formula of the regression line and the R-squared value.
- Sometimes a chi-square-style table is more appropriate. The software determines how best to represent the data.
- Tests the null hypothesis that the attributes are independent, by a T-test, F-test (ANOVA) or chi-square test. Statwing determines which one is appropriate.
- Repeat the above for a ranked correlation.
For now, you can’t forecast a time series or represent data on maps. But Greg told me that the team is adding new features as I type this.
If you’d like to try the software yourself, click here. They’ve got three sample datasets to play with:
- Titanic passengers information
- The results of a psychological survey
- A list of congressman, their voting record and donations.

To leave a comment for the author, please follow the link and comment on his blog: CoolStatsBlog » R.
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...