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, ...
The Cox-Stuart test is defined as a little powerful test (power equal to 0.78), but very robust for the trend analysis. It is therefore applicable to a wide variety of situations, to get an idea of the evolution of values obtained. The proposed method is based on the binomial distribution. In R there is no function to perform a...
The Cox-Stuart test is defined as a little powerful test (power equal to 0.78), but very robust for the trend analysis. It is therefore applicable to a wide variety of situations, to get an idea of the evolution of values obtained. The proposed method is based on the binomial distribution. In R there is no function to perform a...
The one-way analysis of variance is a useful technique to verify if the means of more groups are equals. But this analysis may not be very useful for more complex problems. For example, it may be necessary to take into account two factors of variability to determine if the averages between the groups depend on the group classification...
The one-way analysis of variance is a useful technique to verify if the means of more groups are equals. But this analysis may not be very useful for more complex problems. For example, it may be necessary to take into account two factors of variability to determine if the averages between the groups depend on the group classification...
I finally figured out how to use the R package "cachesweave". The trick is that the code chunks must follow some order, like the following:-----------------------------------------------------------=setCacheDir("testcache")@=library(Zelig)library(memis...
So today I compiled 64 bit R 2.91 on Mac OS X 10.5.7 in order to get maximum speed for my analyses. The speed increase I got was 15-25 %, when I ran some tests with matrix calculation and intensive loops. Note that you can also download optimized binaries from http://r.research.att.com/, although they are
R is terrific, of course, for all your statistical needs. But those data structures! “Everything is a list.” Leading to such wondrous ways to access variables as “p <- Meta(gds)$platform", or "last <- mylist]])]".
Sometimes, you want something more familiar. An array, a hash, a hash of arrays. Or, you may 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
