When displaying contingency tables (section 2.3.1), there are times when it is useful to either show or hide the missing data category. Both SAS and the typical R command default to displaying the table only for observations where both factors are observed.In this example, we generate some multinomial data (section 1.10.4) and then...
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Example 7.15: A more complex sales graphic
The plot of Amazon sales rank over time generated in example 7.14 leaves questions. From a software perspective, we'd like to make the plot prettier, while we can embellish the plot to inform our interpretation about how the rank is calculated.For the latter purpose, we'll create an indicator of whether the rank was...
Example 7.14: A simple graphic of sales
In this example, we show a simple plot of the sales rank data read in as shown in example 7.13.SASIn SAS, we use the symbol statement (section 5.3) to request small (with the h option) dots (with the v option, and that the dots not be connected (with the i option. (See sections...
Example 7.11: Plot an empirical cumulative distribution function from scratch
In example 7.8, we used built-in functions to produce an empirical CDF plot. But the empirical cumulative distribution function (CDF) is simple to calculate directly, and it might be useful to have more control over its appearance than is afforded by...
Example 7.10: Get data from R into SAS
In our previous entry, we described how to generate a dataset from SAS that could be used for analyses in R. Alternatively, someone primarily using R might want to test the new ”statistical graphics” procedures available starting with SAS 9.2. Her...
Example 7.9: Get data from SAS into R
Some people use both SAS and R in their daily work. They might be more familiar with SAS as a tool for manipulating data and R preferable for plotting purposes. While our goal in the book is to enable people to avoid having to switch back and forth, ...
Example 7.8: Plot two empirical cumulative density functions using available tools
The empirical cumulative density function (CDF) (section 5.1.16) is a useful way to compare distributions between populations. The Kolmogorov-Smirnov (section 2.4.2) statistic D is the value of x with the maximum distance between the two curves. As an...
Book now shipping from Amazon
Amazon now reports that the book is in stock! The current discount is 13%.Or, order from the publisher. If you are an ASA member, you can use the online discount code 634LH to obtain a 15% discount.
Example 7.7: Tabulate binomial probabilities
Suppose we wanted to assess the probability P(X=x) for a binomial random variate with n = 10 and with p = .81, .84, ..., .99. This could be helpful, for example, in various game settings. In SAS, we find the probability that X=x using differences in t...
Example 7.6: Find Amazon sales rank for a book
In honor of Amazon's official release date for the book, we offer this blog entry.Both SAS and R can be used to find the Amazon Sales Rank for a book by downloading the desired web page and ferreting out the appropriate line. This code is likely to br...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
