Motivation: during each iteration, my code needs to collect tabular data (and
use it only during that iteration), but the rows of data may vary. I thought I
would speed it up by preinitializing the matrix that collects the data with
zeros to what I know to be the maximum number of rows. I was su
Let's assume that according to Anova(lm(y~a*b, data=d)) the a:b interaction is
significant, and I would like to know if there are specific combinations of a
and b levels that differ from the control group. Are there any caveats against
simply looking at the p-values in the output generated by
s
Dear list:
I am attempting to use what I thought would be a pretty straightforward
practical application of Cox regression. I figure users of the survival package
must have come across this problem before, so I would like to ask you how you
dealt with it. I have set up an illustrative example a
Hello. To save the hassle of quitting and restarting R every time I rebuild the
package I'm working on (for the purposes of this question called "roots") I
would like to write a script cleanly remove the package from my R session and
then load it again. Of course detach("package:roots") works fo
Hello, and apologies for the upcoming naive questions. I am a biologist who is
trying to teach himself the appropriate areas of math and stats. I welcome
pointers to suggested background reading just as much as I do direct answers to
my question.
Let's say I have a function F() that takes varia
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