Dear R users
the factanal pacakge is always MLE, which package can do varimax
rotation with the results from princomp ?
thank you
yong
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PLEASE do read the posting
On Sun, Apr 16, 2006 at 12:26:29AM -0400, Luke wrote:
x - a, aab
y - a, aa, aab, aabc.
Is there any R function to get the indices of y for the elements of x, that
is, foo(x, y) will give me the index vector c(1, 3)?
match(x, y)
cu
Philipp
--
Dr. Philipp Pagel
I don't think the result from _princomp _ should be rotated.
The definition of principal components explicitly indicates that the
result is to have axes that are uncorrelated and line up in directions
of maximum variance.
If I am wrong,I hope some one else to point it out.
2006/4/16, Yong Wang
Dear John,
I understand what you mean. However, when someone is learning R for the
first time or have little experience, such examples help to understand
the connection of different parts of the language.
Moreover, things that make sense once you know them, can be difficult to
relate in the
Nongluck Klibbua [EMAIL PROTECTED] writes:
Hi R-users,
I try to use solve to find the answer of this linear equation
a=x*b where a is 2*1 matrix and b is 2*2 matrix.I would like to get x so
I call y-solve(a,b) but this one happen a is 2*1 matrix so what I should
do .
Thanks
Luck
First
On Sun, 16 Apr 2006, ronggui wrote:
I don't think the result from _princomp _ should be rotated.
The definition of principal components explicitly indicates that the
result is to have axes that are uncorrelated and line up in directions
of maximum variance.
If I am wrong,I hope some one else
Dear Manuel,
I do understand your point of view, and think that it is reasonable, but in
this case, I disagree.
It wouldn't hurt to have an example in ?sample of using a permutation to
index a matrix, but this is one of many uses of permutations and it is not
possible to show or even to
On Sun, 2006-04-16 at 11:48 +0200, Philipp Pagel wrote:
On Sun, Apr 16, 2006 at 12:26:29AM -0400, Luke wrote:
x - a, aab
y - a, aa, aab, aabc.
Is there any R function to get the indices of y for the elements of x, that
is, foo(x, y) will give me the index vector c(1, 3)?
match(x,
Brian Quinif wrote:
Does anyone out there use dcolumn=TRUE in the latex() function in the
Hmisc library?
I would like to line up the data in a latex table I'm making using
latex(), but I'm having some issues with this feature. Since there is
no description of it in the help, I thought that
Dear Dr. Fox
Your reply to Sirinivas Iyyar was most helpful to me. I am trying to collapse
some categories of a data.frame in a similar way.
I have a data frame in the form below
Prog Sub.Program Job V1 V2 V3
1 Alpha A 1 2 3
2 Alpha
Dear John,
You can use aggregate(), also described in my suggestion to Sirinivas:
aggregate(Data[, 4:6], Data[1:3], sum)
Prog Sub.Program Job V1 V2 V3
11 Alpha A 3 4 5
22 Alpha A 3 4 1
32 Alpha B 2 3 1
42 Gamma B 3 5 6
I hope this
This was immensely helpful !
I had tried aggregate() , messed it up and decided that I must have
misunderstood its use vs by() and so posted my question to you. Instead I must
have had a typo in there somewhere . I went back, did it again and it is
lovely. I was going to have to 'slice
Using R to predict.nls() using new data, `se.fit' and `interval' are
ignored. . Is there any update for this? Anybody has those routine or may
advise me how to do that? Thanks
[[alternative HTML version deleted]]
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R-help@stat.math.ethz.ch
I have taken the liberty of including the R-help mailing list on this
reply as that is the appropriate place to discuss lmer results.
On 4/5/06, Andreas Svensson [EMAIL PROTECTED] wrote:
Hello again
I have now recieved some helpful hints in this matter and will summarize them
but first let me
Marc Schwartz MSchwartz at mn.rr.com writes:
On Sat, 2006-04-15 at 20:59 -0300, Bernardo Rangel tura wrote:
Hi R-masters
I need compute generalized hypergeometric function.
I look in R-project and R-help list and not find nothing about
generalized hypergeometric function
Is
Does anyone else find that using the Var.calc option (for
heteroscedasticity consistent std. errors) in Match() (from the
Matching library) slows down computation of the matching estimator by
a lot?
I don't really understand why when I use this option it slows down so
much, but for me it does
Michael Dewey wrote:
At 17:12 09/04/06, Ramón Casero Cañas wrote:
I am not sure what the problem you really want to solve is but it seems
that
a) abnormality is rare
b) the logistic regression predicts it to be rare.
If you want a prediction system why not try different cut-offs (other
On Sun, 2006-04-16 at 17:54 +, Ben Bolker wrote:
Marc Schwartz MSchwartz at mn.rr.com writes:
On Sat, 2006-04-15 at 20:59 -0300, Bernardo Rangel tura wrote:
Hi R-masters
I need compute generalized hypergeometric function.
I look in R-project and R-help list and not find
On Sun, 2006-04-16 at 19:10 +0100, Ramón Casero Cañas wrote:
Thanks for your suggestions, Michael. It took me some time to figure out
how to do this in R (as trivial as it may be for others). Some comments
about what I've done follow, in case anyone is interested.
The problem is a)
I have a data set that has student test scores along with several
categorical variables. I would like to generate a set of summary stats
(mean, variance, n) for the data grouped by school authority and by exam
topic. I have tried the by() function but that seems to only be able to
handle one
You could use aggregate:
agg.mean - aggregate(my.data, by=list(Board, Subject), FUN=mean)
The caveat is that you can only use one aggregator function at a time. You
could rerun the same for FUN=var and FUN=length to get the additional
aggregate statustics that you need and then cbind the
Ramón Casero Cañas wrote:
Michael Dewey wrote:
At 17:12 09/04/06, Ramón Casero Cañas wrote:
I am not sure what the problem you really want to solve is but it seems
that
a) abnormality is rare
b) the logistic regression predicts it to be rare.
If you want a prediction system why not try
Dear R-users:
On page 155 of Mixed-effects Models in S and S-Plus, the degree of
freedoms of the anova comparison of lme and lm are 8 and 5.
But when I use the following SAS code:
proc glm data=ortho2;
class gender;
model distance = age|gender / solution ;
run;
The df is 3.
Could you
Greetings,
How to I read in SPSS .sav files into R.
Thank you.
David
=
David Kaplan, PhD
Professor of Education
School of Education
University of Delaware
Newark DE 19716
Voice:
Dear Neil,
Coincidentally, more or less the same question was asked on r-help yesterday
and today. You can use either the by() function or aggregate(), though
you'll have to do a bit of work on the result if you want it to look just
like your example.
I hope this helps,
John
Dear David,
There is the read.spss() function in the foreign package, and spss.get() in
Hmisc. The former is a part of the standard R distribution, so you could
have discovered it via, e.g., help.search(SPSS)
I hope this helps,
John
John Fox
Department of
David Kaplan [EMAIL PROTECTED] writes:
Greetings,
How to I read in SPSS .sav files into R.
with read.spss() (package foreign)
Thank you.
David
...
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Did you? Following the pointers in there should be enough
I don't use SPSS, so I can't help with the details. That being said, have
you looked at the foreign package?
--Matt
Matt Austin
Statistician
Amgen, Inc
800 9AMGEN9 x77431
805-447-7431
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf Of David Kaplan
Sent:
Frank E Harrell Jr wrote:
This makes me think you are trying to go against maximum likelihood to
optimize an improper criterion. Forcing a single cutpoint to be chosen
seems to be at the heart of your problem. There's nothing wrong with
using probabilities and letting the utility possessor
Ramón Casero Cañas wrote:
Frank E Harrell Jr wrote:
This makes me think you are trying to go against maximum likelihood to
optimize an improper criterion. Forcing a single cutpoint to be chosen
seems to be at the heart of your problem. There's nothing wrong with
using probabilities and
Newbie question, but I've checked archives etc. Am trying to reproduce
in R Quinlan's trivial example of the golf decision tree. The data file
of 14 examples follows (read in via read.table()):
Outlook Temperature Humidity Windy PlayDontPlay
1 sunny 85 85 false DontPlay
2 sunny 80 90 true
I'm using the survfit() function with the Cox proportional hazards model,
and having trouble producing fitted survivor curves when I ask survfit to
use newdata recorded over multiple periods for the same individual. I'm
using the counting process formulation, as I have time-varying
Hi All,
If you use vim to edit R code, you may be interested in this.
I have put together a personalized syntax file, some code templates,
and a way to send code from Vim to R using autoHotKeys (windows).
http://www.andrew.cmu.edu/user/jquesada/RvimSuite/instructions.html
Actually, the little
Ups...the links are:
http://fawn.hsu-hh.de/~steuer/SL-10.0-OSS/
http://mirrors.kernel.org/opensuse/distribution/SL-10.0-OSS/inst-source/
On 15/04/06, Detlef Steuer [EMAIL PROTECTED] wrote:
Hi,
you can add a repository for R found on my server:
http://fawn.hsu-hh.de
~steuer/SL-10.0-OSS
See ?rpart.control. I get:
golf.rp = rpart(Outlook ~ ., golf, control=rpart.control(minsplit=1))
golf.rp
n= 14
node), split, n, loss, yval, (yprob)
* denotes terminal node
1) root 14 9 rain (0.2857143 0.3571429 0.3571429)
2) Temperature 71.5 6 2 rain (0.167 0.667
Dear R users
I need to auto scale the left y axis in the code below, so that when
I scroll left or right the left y-axis scale changes to accumulate the
range of the displayed data with in the max hight of the y-axis.
also how can I make the crosshair horizontal since it is only
I would like to include pairwise interaction terms for lm(). For example, I
want to include the quadratic term of variable V3.
my.formula
y ~ 1 + V1 + V3 + V3:V3
my.data
y V1 V2 V3
1 31 1 42 140
2 32 0 43 120
3 33 0 57 150
4 34 0 55 132
foo - lm(my.formula, data = my.data)
If you want the quadratic term, you need to pass it as an argument in
function I():
y ~ 1 + V1 + V3 + I(V3^2)
This is documented in ?formula
-Christos
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Luke
Sent: Monday, April 17, 2006 12:08 AM
To:
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