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We'll be back with recharged batteries and lots of new entries in September. Have a great summer*!As usual, please send any questions you have about using SAS or R.*Not valid in the southern hemisphere.

For SAS users, one hassle in trying things in R, let alone migrating, is the difficulty of getting data out of SAS and into R. In our book (section 1.2.2) and in a blog entry we've covered getting data out of SAS native data sets. Unfortunately, for ...

In Example 9.1, we showed a binning approach to plotting bivariate relationships in a large data set. Here we show more sophisticated approaches: transparent overplotting and formal two-dimensional kernel density estimation. We use the 10,000 simulat...

Contrary to previous reports, we started blogging after our book was published, with the conceit that we were adding examples to the book. Today marks the second anniversary of the book's appearance and of the blog. To celebrate, we're turning over o...

The scatterplot is one of the most ubiquitous, and useful graphics. It's also very basic. One of its shortcomings is that it can hide important aspects of the marginal distributions of the two variables. To address this weakness, you can add a histo...

It's often useful to compare histograms for some key variable, stratified by levels of some other variable. There are several ways to display something like this. The simplest may be to plot the two histograms in separate panels.SASIn SAS, the most d...

Cramer's V is a measure of association for nominal variables. Effectively it is the Pearson chi-square statistic rescaled to have values between 0 and 1, as follows:V = sqrt(X^2 / )where X^2 is the Pearson chi-square, n...

Microsoft Excel is an awkward tool for data analysis. However, it is a reasonable environment for recording and transfering data. In our consulting practice, people frequently send us data in .xls (from Excel 97-2003) or .xlsx (from Excel 2007 or 201...

Usually, we're content to use a pseudo-random number generator. But sometimes we may want numbers that are actually random-- an example might be for randomizing treatment status in a randomized controlled trial.The site Random.org provides truly rando...

It's often necessary to combine data from two data sets for further analysis. Such merging can be one-to-one, many-to-one, and many-to-many. The most common form is the one-to-one match, which we cover in section 1.5.7. Today we look at a one-to-man...