the same
number. Am I doing something wrong?
I'm running R 2.5.1 (2007-06-27), installed on MacOSX from the dmg file
found on CRAN.
--
Adam D. I. Kramer
Ph.D. Student, University of Oregon
[EMAIL PROTECTED]
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https
On Mon, 27 Aug 2007, François Pinard wrote:
summary(m)
Min. 1st Qu. MedianMean 3rd Qu.Max.
1 13000 26280 25890 38550 50910
max(m)
[1] 50912
...it seems to me like max() and summary(m)[6] ought to return the same
number. Am I doing something wrong?
Some may
with such a
procedure.
Google searching for such a procedure has'nt turned much up...but I
blame that on the difficulty of searcching for single letters, and the
rampant use of R as a variable name. But I did attempt to do my homework
before posting to the list!
Cordially,
--
Adam D. I. Kramer
Many thanks, Duncan. I did not expect this to be an OS-specific issue, and
figured it must be the new default and thus configurable from within the
program, though indeed I am using MacOS.
--Adam
On Mon, 18 Jun 2007, Duncan Murdoch wrote:
On 18/06/2007 12:30 AM, Adam D. I. Kramer wrote:
Hello
Hello,
Just upgraded to 2.5.0, and found that R now includes an rparen
(right parentheses) or rbracket whenever I enter in an lparen. While I can
see the use of this function, it doesn't mesh well with my personal style of
using R (e.g., using the up arrow, adding an rparen, jumping to
question is how to do an lda predicting whether an observation
came from the time1, time2, or time3 column.
Thanks,
Adam
On Mon, 5 Feb 2007, Adam D. I. Kramer wrote:
As an addendum to my earlier post, I am having another difficulty with
getting manova() to behave as I would like: when I specify
to summary.aov is what I was
missing.
Thanks again,
--
Adam D. I. Kramer
Ph.D. Student, Social and Personality Psychology
University of Oregon
[EMAIL PROTECTED]
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PLEASE do read
Hello,
I've got what I'd expect to be a pretty simple issue: I fit an aov object
using multiple error strata, and would like some significance tests for the
contrasts I specified.
In this contrived example, I model some test score as the interaction of a
subject's gender and two emotion
Hello,
I've been playing with the manova() function to do some pretty
straightforward multivariate analyses, and I can't for the life of me figure
out how to get at the discriminant functions used. When predicting several
variables simultaneously, it's important to be able to gauge how
weightings of the linear and quadratic contrasts.
Any suggestions?
Thanks,
Adam
On Mon, 5 Feb 2007, Adam D. I. Kramer wrote:
Hello,
I've been playing with the manova() function to do some pretty
straightforward multivariate analyses, and I can't for the life of me figure
out how to get
which would carry
out the process in a slower, iterative manner...or if I should just bite the
bullet, write.table, and use a perl script to do the job.
Thankful as always,
Adam D. I. Kramer
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of size 7301 Kb
...though at least the too-big size was larger this time.
My data set is not exactly 1-1; every item in prof may have one or more
matches in pubbounds, though every item in pubbounds corrosponds only to
one prof.
--Adam
On Wed, 6 Sep 2006, Adam D. I. Kramer wrote:
Hello,
I am
On Tue, 8 Aug 2006, [EMAIL PROTECTED] wrote:
Try this:
# mat is test matrix
mat - matrix(1:25, 5)
mat[2,2] - mat[3,4] - NA
crossprod(!is.na(mat))
Exactly what I was looking for! Thanks.
--Adam
On 8/7/06, Adam D. I. Kramer [EMAIL PROTECTED] wrote:
Hello,
I'm using a very large data
) {
for (j in i:colNum) {
result[i,j] - length(df[!is.na(df[i])!is.na(df[j])])/colNum
}
}
result
}
--
Adam D. I. Kramer
University of Oregon
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PLEASE do read
., a model in which means of latent variables are
estimated). It is not apparant whether this is possible within the SEM
package...if anyone has done this before or has a suggestion of where to go
from here (or knows that it is not currently possible), I'd be most
appreciative.
Thanks,
Adam D. I
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