Step 1:
quadrant <- 1 + (X[, 1] < 0) + 2*(X[, 2] > 0)
This is not the usual labelling of the quadrants as '3' and '4' are
interchanged. If you want to be picky about it
quadrant <- ifelse(quadrant > 2, 7 - quadrant, quadrant)
Step 2:
angle <- atan2(X[,2], X[,1]) %% (2*pi) # I think this is w
On Sun, 31 Dec 2006, Charles C. Berry wrote:
> On Sun, 31 Dec 2006, Farrel Buchinsky wrote:
>
>> I have hundreds of humans who have undergone SNP genotyping at hundreds of
>> loci. Some have even undergone the procedure twice or thrice (kind of an
>> internal control).
>>
>> So obviously I nee
what is the format of your data files, txt/csv/mdb/xls? the syntax is
very different.
could you please give more info?
thanks.
On 12/31/06, Obinna Duru <[EMAIL PROTECTED]> wrote:
> Hey, I am very new to R and I need to use it (and the ACEPACK
> package) to do some statistical analysis.
>
> I hav
Hey, I am very new to R and I need to use it (and the ACEPACK
package) to do some statistical analysis.
I have installed acepack but efforts to get started has been
unsuccessful. I can't seem to be able to load my data files because I
am yet to figure the syntax to use. Is there a work director
On 12/31/2006 9:35 PM, Richard Rowe wrote:
> I am having problems with the 'if' syntax.
>
> I have an n x 4 matrix, X say. The first two columns hold x, y values and
> I am attempting to fill the second two columns with the quadrant in which
> the datapoint (x, y) is and with the heading angle.
I am having problems with the 'if' syntax.
I have an n x 4 matrix, X say. The first two columns hold x, y values and
I am attempting to fill the second two columns with the quadrant in which
the datapoint (x, y) is and with the heading angle.
So I have two problems
1) how to do this elegantly
On Sun, 31 Dec 2006, Farrel Buchinsky wrote:
> I have hundreds of humans who have undergone SNP genotyping at hundreds of
> loci. Some have even undergone the procedure twice or thrice (kind of an
> internal control).
>
> So obviously I need to find those replications, and confirm that the results
I found a solution to my problem. I thought I would post it here. That will
help me in 3 months when I have forgotten it or some other poor soul who
stumbles across the same problem.
RawSeqBig<-RawSeqBig[RawSeqBig$ASSAY_ID %in% rejectrs$rs==FALSE,]
"Farrel Buchinsky" <[EMAIL PROTECTED]> wrote i
I have a vector containg about 20 unique values. It is called rejectrs$rs.
It is a factor
I have a data frame with about 10 rows.
I want to exclude all rows where in variable rs the value is one of the 20
on the exclude list. I thought this would work but none did.
RawSeqBig<-subset(RawSeqBig,
The reason that I used the as.matrix is because I understood that everything
in the data.frame had to be either numeric or character. Most of mine were
factors.
Thank you so much for finding my elusive spelling mistake. I removed the
offending "d" from "measured" and now it works. However, I have
> I converted the whole data frame to character by using
> as.matrix
You shouldn't need to do that.
> And then using a posting that explained how to get the naming conventions
> back (which had been lost when converting to matrix)
>
> Anything that I did not list with the id's it insisted in incl
Gregor,
Thanks for your replies.
1) Yes, I have tweaked the data to show as clearly as I can that this is a
bug, that a tiny change in initial conditions causes the collapse of a
reasonable 'parameter' estimate.
2) mcmcsamp() does not work (currently) for binomial fitted models.
3) This is an
Daniel Ezra Johnson babel.ling.upenn.edu> writes:
> > > If one compares the random effect estimates, in fact, one sees that
> > > they are in the correct proportion, with the expected signs. They are
> > > just approximately eight orders of magnitude too small. Is this a bug?
> >
> > BLUPs are es
Daniel Ezra Johnson babel.ling.upenn.edu> writes:
...
> More broadly, is it hopeless to analyze this data in this manner, or
> else, what should I try doing differently? It would be very useful to
> be able to have reliable estimates of random effect sizes, even when
> they are rather small.
I converted the whole data frame to character by using
as.matrix
And then using a posting that explained how to get the naming conventions
back (which had been lost when converting to matrix)
Anything that I did not list with the id's it insisted in including them
with the measured variables. I
I'm not sure that shrinkage is the answer, in this case. I observed a
similar problem with the gamma distribution, which I mentioned here:
http://tolstoy.newcastle.edu.au/R/e2/help/06/12/6903.html
Since there hasn't been any discussion, I'm starting to think that it
is a bug.
Andrew
On Sun, De
> Thanks, Hadley,
>
> My fault: I've not provided the line concerning replicate variable. It is
> included in ?xtabs:
>
> warpbreaks$replicate <- rep(1:9, len = 54)
>
> It will be great to have an example with these given data. Anyway, I will
> have a look to reshape at the given site. Thanks a l
Add the argument col.vars = 2:3 to your ftable call. See ?ftable
On 12/31/06, Ricardo Rodríguez <[EMAIL PROTECTED]> wrote:
> Hi all,
>
> Please, is there any way of controlling factors in row/columns when using
> ftable/xtabs? As far as I can see, the last cross-clasifing variable in the
> form
I've found a way to make this problem, if it's not a bug, more clear.
I've taken my original data set A and simply doubled it with
AA<-rbind(A,A).
Doing so, instead of this:
Random effects: # A
Groups NameVariance Std.Dev.
Subject (Intercept) 1.63e+00 1.28e+00
Item(Intercept)
>>> hadley wickham<[EMAIL PROTECTED]> 31/12/2006 19:33 >>>
>Hi Ricardo,
>You might want to have a look at the reshape package,
>http://had.co.nz/reshape, which provides a more general and flexible
>framework for reshaping data in R.
>
>The version of warpbreaks I have doesn't have the replicate v
Hi Ricardo,
> Please, is there any way of controlling factors in row/columns when using
> ftable/xtabs? As far as I can see, the last cross-clasifing variable in the
> formula will appear in columns. The previous ones, in rows. For instance, is
> it possible to make tension and replicate appea
Hi all,
Please, is there any way of controlling factors in row/columns when using
ftable/xtabs? As far as I can see, the last cross-clasifing variable in the
formula will appear in columns. The previous ones, in rows. For instance, is it
possible to make tension and replicate appear in columns
> > If one compares the random effect estimates, in fact, one sees that
> > they are in the correct proportion, with the expected signs. They are
> > just approximately eight orders of magnitude too small. Is this a bug?
>
> BLUPs are essentially shrinkage estimates, where shrinkage is
> determine
> > If one compares the random effect estimates, in fact, one sees that
> > they are in the correct proportion, with the expected signs. They are
> > just approximately eight orders of magnitude too small. Is this a bug?
>
> BLUPs are essentially shrinkage estimates, where shrinkage is
> determined
Its object oriented inspired by the Dylan language and Scheme. Some additional
information is available in this thread:
https://stat.ethz.ch/pipermail/r-help/2003-July/036437.html
There are also a number of packages which layer other programming
language models on top of R:
- R.oo provides for
Hi wizards, I have a question. Which programming paradigm does R
handle? . Iam looking for this information but I didn't found nothing.
Thanks in advance.
personal web site:
http://www.geocities.com/ricardo_rios_sv/index.html
--
personal web site:
http://www.geocities.com/ricardo_rios_sv/
I'm a bit new with python, but have found it extremely easy to learn and
use. I have been using it to pre-process some text files that we often
deal with and need to be formatted in a certain way before they can be
used for statistical analysis in another software program.
I suppose there is one t
> nr.attempts
> <-aggregate(RawSeq$GENOTYPE_ID,list(sample=RawSeq$SAMPLE_ID,assay=RawSeq$ASSAY_ID),length)
> This was simply to figure out how many times the same piece of information
> had been obtained. I ran out of patience. It took beyond forever and tapply
> did not perform much better. The re
Responding to the original post, which I did not save.
> On 31/12/06, John Kornak <[EMAIL PROTECTED]> wrote:
> >
> >
> > Dear R list members
> >
> > I would be grateful if anyone could guide me to a solution for fixing my
> > rimage package problem described below.
> >
> > I recently upgraded my m
Daniel Ezra Johnson babel.ling.upenn.edu> writes:
...
> If one compares the random effect estimates, in fact, one sees that
> they are in the correct proportion, with the expected signs. They are
> just approximately eight orders of magnitude too small. Is this a bug?
...
BLUPs are essentiall
I am fitting models to the responses to a questionnaire that has
seven yes/no questions (Item). For each combination of Subject and
Item, the variable Response is coded as 0 or 1.
I want to include random effects for both Subject and Item. While I
understand that the datasets are fairly smal
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