Did you try the 'examples' in the SS help file? If no, please copy
them from the help file into a script file and work through them line by
line, trying different modifications. If you've tried this, have you
similarly worked through the 'sspir' 'demo' files? (These can be found
in
It's difficult to say much at this level of generality, but I have
four suggestions:
1. Have you tried creating a reasonable grid of starting values
using "expand.grid" and then plotting the resulting likelihood surface?
If you have more than 2 parameters, you may want to
On Fri, 2006-06-16 at 19:42 +0100, Gavin Simpson wrote:
> Hi,
>
> I have a bit of a problem with a legend in png, eps and pdf plots
> produced from a custom plotting function. I was writing a little
> function to produce some stock plots for a routine analysis conducted in
> our lab. I have a wrap
That means that Apache doesn't know to execute the perl files. Something's
wrong with your Apache configuration or directory permissions. Some things
to check:
* Make sure the *.pl files in ../Rpad/server/ are set to enable execution.
* Check your apache http.conf. You need something like the fo
Try this:
# read in lines and replace all occurences of Simula, all occurrences
# of .txt, all commas and all underscores with spaces
Lines <- gsub(".*Simula|.txt|[,_]", " ", readLines("/myfile.dat"))
# reread what is left skipping over column headings and setting it ourself
# If you want factor
Hello All,
I have been trying to use the par(mfrow(c(m,n)) function to produce a
panel of m rows and n columns of bar plots. The different columns were
to designate n different categories, as the m rows are to designate
different categories as well. However, I cannot seem to get rid of the
y-
I used your sample of data. When reading in I used 'as.is=TRUE' to prevent
the conversion to 'factor'. I then did an explicit conversion to number on
the PLAND column.
You should use 'str' to look at the structure of your data frame.
You have backsplashes and your 'print' will not show them. Y
Martin Henry H. Stevens wrote:
> Hi folks,
> Warning: I don't know if the result I am getting makes sense, so this
> may be a statistics question.
>
> The fitted values from my binomial lmer mixed model seem to
> consistently overestimate the cell means, and I don't know why. I
> assum
'lmer' RETURNS AN ERROR WHEN SAS NLMIXED RETURNS AN ANSWER
Like you, I would expect lmer to return an answer when SAS
NLMIXED does, and I'm concerned that it returns an error message instead.
Your example is not self contained, and I've been unable to
get the result you got.
Hi
Change V1 for the name of the column to be matched on X and Y
cbind(X,Y[match(X$V1,Y$V1),])
Neurorox
>From: "yohannes alazar" <[EMAIL PROTECTED]>
>To: r-help@stat.math.ethz.ch
>Subject: [R] managing data
>Date: Sat, 17 Jun 2006 14:40:47 +0100
>
>Dear mailing list, may some one be kind to he
On Sat, Jun 17, 2006 at 02:40:47PM +0100, yohannes alazar wrote:
> Dear mailing list, may some one be kind to help me solve following problem.
>
> I am trying to write a code that will combine two tables "x" and "y". The
> first columns of both tables are unique identification for the rows. The
>
Dear R-friends
I have several data files with about 1,900 lines (records) each. I´m using
read.table command to read the files. The files looks like
LID , TYPE ,
PLAND
D:\Bijou-MC\Simula_P005_H100_R001.txt , Forest , NA
Context: FreeBSD 6.1on a pentium 4; apache 2 server up & running; mod_perl
installed; java & php 4 working.
Willing to use Rpad on an office intranet, I installed the Rpad package
(R2HTML was still there) and carefully read the instructions to set up a
server.
Now, on the server I can start t
Dear mailing list, may some one be kind to help me solve following problem.
I am trying to write a code that will combine two tables "x" and "y". The
first columns of both tables are unique identification for the rows. The
first column of table "X" is a sub set of the first column of "Y". I need t
Hi, list i was trying to do( Projection pursuit regression ) ppr function in
Mass library . It is running very good ,no problem ,but when i refered the
references Friedman et al 1981 ,,and SMART guide,, i was not able to find how
parametes they r geeting using least square method , if any bo
I'm trying to build forecasting equation from weights of 2-2-1 neural net.
Running the nnet function gives me a vecto of 9 weights, but I don't know how
to build the equation form these values.
Can anyone advice? Or at least tell me where the nnet output is described in
details (the manual only gi
Hamilton, Cody wrote:
> After a little digging, it turns out that fit.mult.impute will allow
> fitter = glm, so previous suggestions regarding modeling cbind(y,n) as
> an outcome will work fine. Thanks!
Also lrm can easily handle your setup using the weights argument.
Frank
>
>
>
> Cody Hami
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