Yimeng Lu yl2058 at columbia.edu writes:
In a loop, if a function, such as nls, gives an error, is it possible to
coerce R to continue proceeding the next command with the same
loop?
You may also have a look at nlsList in package(nlme). In handles errors returns
a nice list of result.
At 01:59 PM 18/07/2005, Addison, Prue wrote:
Hi,
I am having trouble using the lme function to perform a nested ANOVA
with a random nested factor.
My design is as follows:
Location (n=6) (Random)
Site nested within each Location (n=12) (2 Sites nested within each
Location) (Random)
Dependent
Hi
You can easily implement it by:
Mag. Ferri Leberl writes:
Dear Everybody!
Excuse me for this newbie-questions, but I have not found answers to these
Question:
- Is there a command calculating the variance if the whole group is known
(thus dividing by n instead of n-1)?
I have two dataframes C and C1. Each has three columns viz. state, psu
and weight. The dataframes are of unequal size i.e. C1 could be
2/25/50 rows and C has 42000 rows. C1 is the master table i.e.
C1$state, C1$psu and C1$weight are never the same. ThisA. P., Urban, 0
is not so for C.
For
Hi Uwe,
Thanks for your kind response.
best,
Tolga
Please follow the attached hyperlink to an important disclaimer
http://www.csfb.com/legal_terms/disclaimer_europe.shtml
-Original Message-
From: Uwe Ligges [mailto:[EMAIL PROTECTED]
Sent: 16 July 2005 14:29
To: Uzuner, Tolga
Cc:
I have the following problem: I would like to do a
nonparametric quatile regression. Thus far I have used
the quantreg package and done a local quadratic, but
it does not seem to work well.
Alternatively, I have tried with an older S version I
have the function rreg, and used
Rafael,
when testing binomial hypotheses with both repeated measures and
inter-group factors, you should make explicit your model on the
intra-subject part of the data. You can't do Chi-square comparisons on
count data that mix independent and dependent measures.
But you can define a
Hi
I have a data format like this:
x coordinates y coordinates z value
3.77E+002 7.13E+002 0,0
1.27E+003 5.52E+002 2,756785261
1.06E+003 4.76E+002 2,583918174
3.86E+002 7.15E+002 0,158626133
3.60E+002 1.77E+002
Hi,
I have a huge dataframe and like to delete all those variables from it that that
have NAs. The deletion of vars should be done column-wise, and not row-wise as
na.omit would do it, because I have some vars that have NAs for all rows thus
using na.omit I would end up with no obs. Is there a
Stephen wrote:
Hi All,
I am currently conducting some survival analyses. I would like to
extract coefficients at each level of the IVs.
I read on a previous posting that dummy regression using coxph was not
possible.
I'm not sure what that means.
Therefore I though, hey why
[EMAIL PROTECTED] wrote:
Hi,
I have a huge dataframe and like to delete all those variables from it that
that
have NAs. The deletion of vars should be done column-wise, and not row-wise as
na.omit would do it, because I have some vars that have NAs for all rows thus
using na.omit I would
Chuck Cleland [EMAIL PROTECTED] writes:
data - as.data.frame(cbind(X1,X2,X3,X4,X5))
So only X1, X3 and X5 are vars without any NAs and there are some vars (X2
and
X4 stacked in between that have NAs). Now, how can I extract those former
vars
in a new dataset or remove all those
Have a look at the rgl package on CRAN.
Reid Huntsinger
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of
[EMAIL PROTECTED]
Sent: Monday, July 18, 2005 8:24 AM
To: r-help@stat.math.ethz.ch
Subject: [R] about 3d surface plot
Hi
I have a data format like
Dear All,
it seems to me that levels() deletes other attributes. See the following
example:
## example with levels
f1 - factor(c('level c','level b','level a','level c'), ordered=TRUE)
attr(f1, 'testattribute') - 'teststring'
attributes(f1)
levels(f1) - c('L-A', 'L-B', 'L-C')
attributes(f1)
If
Dear helpeRs,
Is it possible to change the shading colour of the range bars in the plot
generated by plot.stl? By default they are grey, but I would prefer them
white (I am preparing some graphics for a powerpoint presentation so I'm
inverting all colours).
As far as I can see plot.stl
Hi 1. To clarify: There is a posting saying that dummy regression using
the coxph function is not possible... That posting may be outdated
2. Q. You say 'Make sure that eventbefore is a pre time zero
measurement' please explain: Do you mean that if someone who is not left
censored and has no
On Mon, 18 Jul 2005, Peter Dalgaard wrote:
Chuck Cleland [EMAIL PROTECTED] writes:
data - as.data.frame(cbind(X1,X2,X3,X4,X5))
So only X1, X3 and X5 are vars without any NAs and there are some vars (X2
and
X4 stacked in between that have NAs). Now, how can I extract those former
vars
This is almost unreadable.
On Mon, 18 Jul 2005, Stephen wrote:
Hi 1. To clarify: There is a posting saying that dummy regression using
the coxph function is not possible... That posting may be outdated
Clarification needs
1) an explanation of what you mean by `dummy regression' and
2) a
At 09:29 18.07.2005 -0500, Frank E Harrell Jr wrote:
Heinz Tuechler wrote:
Dear All,
it seems to me that levels() deletes other attributes. See the following
example:
## example with levels
f1 - factor(c('level c','level b','level a','level c'), ordered=TRUE)
attr(f1, 'testattribute') -
On Mon, 18 Jul 2005, Michael Townsley wrote:
Dear helpeRs,
Is it possible to change the shading colour of the range bars in the plot
generated by plot.stl? By default they are grey, but I would prefer them
white (I am preparing some graphics for a powerpoint presentation so I'm
inverting
Prof Brian Ripley [EMAIL PROTECTED] writes:
On Mon, 18 Jul 2005, Peter Dalgaard wrote:
Chuck Cleland [EMAIL PROTECTED] writes:
data - as.data.frame(cbind(X1,X2,X3,X4,X5))
So only X1, X3 and X5 are vars without any NAs and there are some vars
(X2 and
X4 stacked in between that
At 16:53 18.07.2005 +0200, Heinz Tuechler wrote:
At 09:29 18.07.2005 -0500, Frank E Harrell Jr wrote:
Heinz Tuechler wrote:
Dear All,
it seems to me that levels() deletes other attributes. See the following
example:
## example with levels
f1 - factor(c('level c','level b','level a','level
Hi,
I have a matrix with column names starting with a character in [0-9]. After
some matrix operations (e.g. copy to another matrix), R seems to add a
character 'X' in front of the column name. Is this a normal default behaviour
of R? Why has it got this behaviour? Can it be changed? What
Dear Brian,
thanks for your mail. For other reasons I need a local
polynomial. The nonparametric regression code is very
scetchy, but I have used it as base anyway.
Best
Stefan
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R-help@stat.math.ethz.ch mailing list
I have a dataframe in which I have used a cerain procedure to select
the response a subset of the response and obtained a vector y.Now I
need to fit a glm of the response y given x(the covariates) but now I
get an error that the variables are not of equal length.How can I come
up with a way to
Hi,
I have a dataset with 2194651x135, in which all the numbers are 0,1,2,
and is bar-delimited.
I used the following approach which can handle 100,000 lines:
t-scan('fv', sep='|', nlines=10)
t1-matrix(t, nrow=135, ncol=10)
t2-t(t1)
t3-as.data.frame(t2)
I changed my plan into using
On Mon, 18 Jul 2005, Weiwei Shi wrote:
Hi,
I have a dataset with 2194651x135, in which all the numbers are 0,1,2,
and is bar-delimited.
I used the following approach which can handle 100,000 lines:
t-scan('fv', sep='|', nlines=10)
t1-matrix(t, nrow=135, ncol=10)
t2-t(t1)
This normally happens to me when I read in a table where the rownames
will be appended by an X. Read help(make.names) for more information.
Remember that R is primarily a statistical software and thus likes
colnames classes to be characters.
mat1 - matrix( 1:12, nc=3, dimnames=list(NULL,
On Mon, 18 Jul 2005, Peter Dalgaard wrote:
Prof Brian Ripley [EMAIL PROTECTED] writes:
On Mon, 18 Jul 2005, Peter Dalgaard wrote:
Chuck Cleland [EMAIL PROTECTED] writes:
data - as.data.frame(cbind(X1,X2,X3,X4,X5))
So only X1, X3 and X5 are vars without any NAs and there are some vars
Stephen wrote:
Hi 1. To clarify: There is a posting saying that dummy regression using
the coxph function is not possible... That posting may be outdated
That does not make sense.
2. Q. You say 'Make sure that eventbefore is a pre time zero
measurement' please explain: Do you mean
Stephen wrote:
Hi 1. Right perhaps this should clarify. I would like to extract
coefficeints for different levels of the IVs (covariate). So for
instance, age of onset I would want Hazards etc for every 5 years and so
on... The approach I took was to categorize the variables (e.g., age of
On Mon, 18 Jul 2005, Thomas Lumley wrote:
On Mon, 18 Jul 2005, Weiwei Shi wrote:
Hi,
I have a dataset with 2194651x135, in which all the numbers are 0,1,2,
and is bar-delimited.
I used the following approach which can handle 100,000 lines:
t-scan('fv', sep='|', nlines=10)
Dear R friends,
I am reading the code for the function boot in package:boot in an attempt to
learn how and where it implements the random resampling used by the
non-parametric bootstraps.
The code contains two (apparent) functions - 'index.array' and 'boot.return'
- for which I can find no
Thanks for the suggestion. Is such a model appropriate for count data?
The library you reference seems to just be form standard regressions
(ie those with continuous dependent variables).
Thanks,
Brett
On 7/16/05, Spencer Graves [EMAIL PROTECTED] wrote:
Have you considered lme in
Hi,
I am using R 2.1.0 on Windows XP and when I type data() to list the
datasets in R, there is a helpful hint to type 'data(package =
.packages(all.available = TRUE))' to see the datasets in all of the
packages -- not just the active ones.
However, when I do this, I get the following message:
Hi,
A minor announcement. I just added two functions for reading and writing GIF
files to my caTools package. Input and output is in the form of standard R
matrices or arrays, and standard R color-maps (palettes). The functions can
read and write both regular GIF images, as well as,
Hi everyone,
I am working with a data frame consisting of 1009 sampling locations, 138
species incidence and abundance data, and eight forest community types.
My goal is to develop species acumulation curves and extrapolated estimates
for each community type.
I am using the following
Hello All,
I'm learning R. Just wonder, any package or function that I can use to get
the dissimilarity matrix? Thanks.
Best regards,
Baoqiang Cao
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do
Excellent question. Try 'getAnywhere(index.array)'. It's hidden
in namespace:boot. Ditto for boot.return.
spencer graves
Obrien, Josh wrote:
Dear R friends,
I am reading the code for the function boot in package:boot in an attempt to
learn how and where it
Dear Brett:
There are books for this topic that are more narrowly tailored to your
question. Lindsey's Models for Repeated Measurements and Diggle, et al's
Analysis of Longitudinal Data. Lindsey offers an R package on his web
site. If you dig around, you will find many modeling papers on
We are leveraging too far on speculation, at least from what I can
see. PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html;. In particular, try the
simplest example you can find that illustrates your question, and
explain your concerns to us in terms of a
Paul,
Thank you so much for your thoughtful reply. I agree - there are many
possible descriptions for my data, and I realize that I don't want to
get bogged down with figuring out the 'best' model if something simple
will work well. For me, I think the difficulty is going to be handling
the
Dear R Users,
When I used svmlight, I got below error:
my command is:
foo - svmlight(y~., data= myData)
the results:
Error in file(con, r) : unable to open connection
In addition: Warning messages:
1: svm_learn not found
2: cannot open file '_model_1.txt'
myData[1:2,]
y X1 X2 X3 X4 X5 X6
Dear all
How can I obtain the name of the argument passed in a function? Here is a
simplistic example of what I would like to obtain:
myfunction= function(name) {
print(paste(The parameter name was,unknownFunction(name))
}
myfunction(myobject)
[1] The parameter name was myobject
Francisco J. Zagmutt [EMAIL PROTECTED] wrote:
Dear all
How can I obtain the name of the argument passed in a function? Here is a
simplistic example of what I would like to obtain:
myfunction= function(name) {
print(paste(The parameter name was,unknownFunction(name))
}
Francisco,
I had exactly the same question a few days ago. Try the following:
z-function(x)
{
xName - deparse(substitute(x))
cat(xName)
cat(The parameter name was ,xName,\n)
}
Let me know if this works.
n.b. the \n in the cat function is a signal to print the next piece of
data
on the next
Hello,
I have a data frame with 15 variables, and want to exchange the data
of 4th column and 6th column. First I append a column in the data
frame, copy the 4th column data there, then copy the 6th column data
to 4th column, and copy the appended column data to 6th column, but
the names of the
Many thanks I follow you what you say You can request predicted
values at any sequence of ages - I guess there are plenty of postings on
how to do that Regards, Stephen - Original Message - From:
Frank E Harrell Jr To: Stephen Cc: Prof Brian Ripley ; Sent:
Monday, July 18, 2005
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