On Fri, 16 Feb 2007, Anthony Staines wrote:
Hi,
I have a valid SPSS .sav file (which I can open happily in SPSS v11 on
Windows XP).
Opening it in R2.41 on Linux we get this message :-
HSE3023 - read.spss(HSE.sav)
Error in read.spss(HSE.sav) :
error reading system-file header
In
Dear Paul,
You might want to add Everitt Hothorn's A Handbook of Statistical
Analyses Using R. If I had to recommend just one book it'd be this
one.
My own (i.e., highly subjective) suggestion, if you can afford two
books, would be to first go through Dalgaard's and then through
Everitt
Hi Jim,
jim holtman schrieb:
Here is one way:
t - split(mat, classes)
for (i in names(t)) plotdensity(t[[i]], main=i)
But then I don't use the advantages of the tapply anymore...
What is the problem you are trying to solve?
I have a set of data (multiple files), which belong to
Hello,
I used an sapply to get some data back (s - sapply(...) ). The output of s
would then deliver something like this:
B06_lamp.csv C06_lamp.csv D06_lamp.csv
[1,] NULL NULL Numeric,512
[2,] NULL NULL Numeric,512
[3,] NULL NULL 2
Dear list,
I want to plot a 3 dimensional histogram and I am looking for a funktion
to do so.
I have a dataframe with the following information:
1 0.50 -0.5 -1
a 13 11 6 2 1
b 9 8 6 5 3
c 5 4
Hi Jim,
jim holtman schrieb:
Here is one way:
t - split(mat, classes)
for (i in names(t)) plotdensity(t[[i]], main=i)
But then I don't use the advantages of the tapply anymore...
What is the problem you are trying to solve?
I have a set of data (multiple files), which belong to
Hello,
I used an sapply to get some data back (s - sapply(...) ). The output
of s would then deliver something like this:
B06_lamp.csv C06_lamp.csv D06_lamp.csv
[1,] NULL NULL Numeric,512
[2,] NULL NULL Numeric,512
[3,] NULL NULL 2
mode(s)
My model is as follows:
mod - lm(log(Degrad/Time) ~ I(1e+05/(8.617*(Temp + 273.16))), data)
Where Degrad/Time = k, and because of taking logs, the intercept = log(A)
and the coefficient of the term = -Ea.
This is how I used the Arrhenius formule in a linear model.
I know I can use predict to
Folks,
I have a dataframe comprising a column of dates and a column of signals (-1,
0, 1) that looks something like this:
30/01/2007 0
31/01/2007 -1
01/02/2007 -1
02/02/2007 -1
03/02/2007 1
04/02/2007 1
05/02/2007 1
06/02/2007 1
07/02/2007 1
Hello,
Data comes from a multiyear field experiment in which 4 levels of a
treatment (2, 3, 4, 6) are compared to see the effect on yield. It is a
randomized complete block design.
The SAS code follows:
options ls=95;
data uno;
infile 'data.csv' delimiter=';' firstobs=2;
input
Data is here.
I'm sorry.
Is it possible to do this analysis in R?
Yes, it is possible. The syntax isn't in place yet.
If you send me the complete SAS code and data for an example using slice,
I will duplicate it for you in the multcomp package in R. I will send
that
to the R-help list
Hello everybody,
I am glade to write to send my greetings and to formulate a question. I am
M.Sc. student and I am applying R to process my data.
I want to run a 2SLS regression and then to apply Heteroskedasticity
Consistent Standard Errors to obtain the coefficients't-tests corrected by
Hello everybody,
I am glade to write to send my greetings and to formulate a question. I am
M.Sc. student and I am applying R to process my data.
I want to run a 2SLS regression and then to apply Heteroskedasticity
Consistent Standard Errors to obtain the coefficients't-tests corrected by
Hi,
A simple way is:
s - s[3]
On 16/02/07, Antje [EMAIL PROTECTED] wrote:
Hello,
I used an sapply to get some data back (s - sapply(...) ). The output
of s would then deliver something like this:
B06_lamp.csv C06_lamp.csv D06_lamp.csv
[1,] NULL NULL Numeric,512
Henrique Dallazuanna schrieb:
Hi,
A simple way is:
s - s[3]
but what if I don't know how many and which columns are NULL?
Antje
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
Hello,
I would like to know if there is a function in an R library that
allows to do cluster analysis under contiguity constraints ?
Thank you very much for your answer !
Lise Bellanger
--
Lise Bellanger,
Université de Nantes
Département de Mathématiques, Laboratoire Jean
Gerard Smits g_smits at verizon.net Fri Feb 16 00:46:09 CET 2007:
just noticed that two key pieces of information are not given by
the summary() command: N and SD. we are given the N missing, but
not the converse. I know these summary value can be obtained easy,
but can't understand why
Hello,
I use newly R! I'd like to plot several data set together in one output
window! How can I do that?
Best regards
Hadi
-
Never miss an email again!
[[alternative HTML version deleted]]
__
Charilaos,
I noticed within your table, under GIS/Mapping for 'R' you only listed
'maps'. You should probably include GRASS GIS, which can be interfaced
to R using the spgrass6 package.
Regards,
Tom
Charilaos Skiadas wrote:
On Feb 10, 2007, at 4:26 PM, Muenchen, Robert A (Bob) wrote:
See ?points, ?lines and ?par (especially par(new = T)).
Reading an introduction book about R might be a good idea if you're new.
Dalgaard (Introductory Statistics with R)
Everitt Hothorn (A Handbook of Statistical Analyses Using R)
Cheers,
Thierry
Azizi wrote:
Hello,
I use newly R! I'd like to plot several data set together in one output
window! How can I do that?
Best regards
Hadi
-
Never miss an email again!
[[alternative HTML version deleted]]
On 2/16/07, Jari Oksanen [EMAIL PROTECTED] wrote:
Gerard Smits g_smits at verizon.net Fri Feb 16 00:46:09 CET 2007:
just noticed that two key pieces of information are not given by
the summary() command: N and SD. we are given the N missing, but
not the converse. I know these summary
Den Ti, 2007-02-13, 11:43 skrev Ravi S. Shankar:
Hi R users,
I am unable to load RMySQL. The zip file is not available which I guess
is needed to load this pakage.
Please read http://cran.r-project.org/bin/windows/contrib/2.4/ReadMe to
find out why.
I also tried extracting the package
I will take advantage of this thread with a request of my own. Would it be
possible to add an index in the result of str(df )? For large dfs I find myself
counting for the position of certain variable(s) again and again (for indexing
purposes).
Thanks,
m
Mihai Nica
170 East Griffith St. G5
Hi again,
I'm still trying to read my data but I'm having some difficulties
converting it to dates.
My data file has lines and in each line a single date exists in the
format 2007/02/16 (without the ,). I've tried the following:
d - readLines(file.dat)
d
[1] 2006/08/09 2004/02/11 2004/06/09
One question I would have about your commands is that I would have thought
that the second line of output ([2].) would have started with at least
[4] if you were reading multiple lines. This example seems to work fine:
(now that I looked at your code you had $d instead of %d)
x -
Hi,
I expect this is simple but havent found an answer looking on the
archives...
I want to convert NA (missing) to particular levels (nonmissing) in factor
vectors.
e.g. I know
X - c(1, 2, 3)
summary(X)
Min. 1st Qu. MedianMean 3rd Qu.Max.
1.0 1.5 2.0
Hi,
I am not sure to get the issue, but assuming your data are arranged as
in your example with dates in column x$V1 and signals as x$V2 ,
I think that you could use rle in the following way :
test-rle(x$V2)
testmat-matrix(NA,length(test$values),2)
On Fri, 2007-02-16 at 14:32 +, Sérgio Nunes wrote:
Hi again,
I'm still trying to read my data but I'm having some difficulties
converting it to dates.
My data file has lines and in each line a single date exists in the
format 2007/02/16 (without the ,). I've tried the following:
d -
try this:
x - scan(textConnection(30/01/2007 0
+ 31/01/2007 -1
+ 01/02/2007 -1
+ 02/02/2007 -1
+ 03/02/2007 1
+ 04/02/2007 1
+ 05/02/2007 1
+ 06/02/2007 1
+ 07/02/2007 1
+ 08/02/2007 1
+ 09/02/2007 0
+ 10/02/2007 0
+ 11/02/2007 0
+
I want to begin a migration of R workspaces from Windows to Ubuntu Linux.
(1) Can someone suggest the most appropriate path?
dump() ?
save() ?
(2) Are there any R platform migration related resources out there?
(I have not found any yet).
Thank you,
--
Derek N. Eder
Jon Minton wrote:
Hi,
I expect this is simple but haven’t found an answer looking on the
archives...
I want to convert ‘NA’ (missing) to particular levels (nonmissing) in factor
vectors.
e.g. I know
X - c(1, 2, 3)
summary(X)
Min. 1st Qu. MedianMean 3rd Qu.Max.
But it does the same thing. What 'advantage' of tapply do you think that
you are missing? Performance is probably not impacted since most of the
time is in the plot.
On 2/16/07, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
Hi Jim,
jim holtman schrieb:
Here is one way:
t - split(mat,
Just for the record, here are my steps for producing a date based histogram.
Data is stored in a file where each line only has a date - 2007/02/16
d-readLines(filename.dat)
d-as.Date(d, format=%Y/%m/%d)
pdf(yearly.pdf)
hist(d, years)
dev.off()
Instead of years you can also use days, weeks,
On Fri, 2007-02-16 at 16:32 +0100, Derek Eder wrote:
I want to begin a migration of R workspaces from Windows to Ubuntu Linux.
(1) Can someone suggest the most appropriate path?
dump() ?
save() ?
(2) Are there any R platform migration related resources out there?
(I
Thank you so much to all who replied on and off list. It's good to have so
many options! One of the off-list responders also mentioned the quantcut
function in the gtools package.
-- TMK --
212-460-5430home
917-656-5351cell
From: hadley wickham [EMAIL PROTECTED]
To: [EMAIL
On Fri, 2007-02-16 at 15:39 +, Sérgio Nunes wrote:
Just for the record, here are my steps for producing a date based histogram.
Data is stored in a file where each line only has a date - 2007/02/16
d-readLines(filename.dat)
d-as.Date(d, format=%Y/%m/%d)
pdf(yearly.pdf)
hist(d, years)
Dear R'helpers,
I guess the solution is trivial but despite some hours of testing and
looking at the doc, I was unable to fix the following problem.
I want to do either:
for (i in 1:lat) a[i,which(a[i,]==0] - NA
or:
for (i in 1:lat) a[i,which(a[i,]==-|a[i,]==|a[i,]==9998|a[i,]
On 2/16/07, Nicolas Degallier [EMAIL PROTECTED] wrote:
Dear R'helpers,
I guess the solution is trivial but despite some hours of testing and
looking at the doc, I was unable to fix the following problem.
I want to do either:
for (i in 1:lat) a[i,which(a[i,]==0] - NA
a[a == 0] - NA
or:
Dear all,
I have a problem similar to what was already posted about two years ago
(http://tolstoy.newcastle.edu.au/R/help/05/01/10011.html): I have a binary
file, which contains a header and data compressed by zlib and written to
the file as unsigned character. Here is, what I try to do:
zz -
On Fri, 2007-02-16 at 17:10 +0100, Nicolas Degallier wrote:
Dear R'helpers,
I guess the solution is trivial but despite some hours of testing and
looking at the doc, I was unable to fix the following problem.
I want to do either:
for (i in 1:lat) a[i,which(a[i,]==0] - NA
or:
for
Dear R community
In a current paper, I'm (briefly) considering the topic of producing
scatterplots or maps with point labels positioned in such a way as to
minimize label overlap and occlusion. This is a topic with a large, but
scattered literature. In CS, it is considered NP-hard, but there
On Fri, 16 Feb 2007, Marc Schwartz wrote:
On Fri, 2007-02-16 at 15:39 +, Sérgio Nunes wrote:
Just for the record, here are my steps for producing a date based histogram.
Data is stored in a file where each line only has a date - 2007/02/16
d-readLines(filename.dat)
d-as.Date(d,
Michael Friendly wrote:
Dear R community
In a current paper, I'm (briefly) considering the topic of producing
scatterplots or maps with point labels positioned in such a way as to
minimize label overlap and occlusion. This is a topic with a large, but
scattered literature. In CS, it is
On Fri, 2007-02-16 at 16:47 +, Prof Brian Ripley wrote:
On Fri, 16 Feb 2007, Marc Schwartz wrote:
On Fri, 2007-02-16 at 15:39 +, Sérgio Nunes wrote:
Just for the record, here are my steps for producing a date based
histogram.
Data is stored in a file where each line only has a
I am trying to understand the usage of slice while plotting. Can any one
provide me with some explanation to it or point me to a resource where I
can read it in greater detail. I have an example from the usage page for
SVM.
library(MASS)
library(e1071)
data(iris)
m2 - svm(Species~., data =
On 2/16/07, Petr Pikal [EMAIL PROTECTED] wrote:
Hi
slight modification of your function can be probably even quicker:
fff-function(x) sum(2^(which(rev(x))-1))
:-)
Petr
Yes, your function is slightly but consistently faster than my suggestion.
But my tests show still Bert Gunter's
R users;
A question about optimization within R.
I've been using both optim() and nlminb() to estimate parameters and all
seems to be working fine. For context (but without getting into specifics -
sorry), I'm working with a problem that is known to have correlated
parameters, and parameter
I suspect that the line in the added variable plot (library car) is a SLR of
the residuals, but I can't seem to find this written anywhere. Can someone
confirm this? Thanks.
Tom
[[alternative HTML version deleted]]
__
On 2/16/2007 12:57 PM, Tom La Bone wrote:
I suspect that the line in the added variable plot (library car) is a SLR of
the residuals, but I can't seem to find this written anywhere. Can someone
confirm this? Thanks.
You can look at the source:
av.plot
function (model, ...)
{
On Fri, 16 Feb 2007, Brian Healey wrote:
R users;
A question about optimization within R.
I've been using both optim() and nlminb() to estimate parameters and all
seems to be working fine. For context (but without getting into specifics -
sorry), I'm working with a problem that is known to
Tom La Bone wrote:
I suspect that the line in the added variable plot (library car) is a SLR of
the residuals, but I can't seem to find this written anywhere. Can someone
confirm this? Thanks.
See the Fox(1997) reference on the help page (pages 281-283). Note
that both the x-axis and the
Well, if it is missing, how do you know what level to turn it back into?
That is what NA means in R: not available.
If you want missings to be a separate level, you could use
factor(as.character(X), exclude=NULL)
[1] ANA B
Levels: A B NA
BTW, using summary() for a length-3 object is not
On 16-Feb-07 Bart Joosen wrote:
My model is as follows:
mod - lm(log(Degrad/Time) ~ I(1e+05/(8.617*(Temp + 273.16))), data)
Where Degrad/Time = k, and because of taking logs,
the intercept = log(A)
and the coefficient of the term = -Ea.
This is how I used the Arrhenius formule in a
Hi, All:
I am having a problem with handling global variable value in GUI
programming, I hope R gurus can give me some advice on it.
What I want to do is to read in a dataset, display some information
based on the input and do some calculation on the dataset:
However, I am having trouble
Hello,
i have a problem with creating histograms and plots under ubuntu linux.
After creating a vector test i want to make a histogram, but the following
error appears:
hist (test)
Error in X11() : could not find any X11 fonts
Check that the Font Path is correct.
Does anybody know this problem
I can't seem to control the size of the numeric labels for my contour
plots. I am using cex.axis, which works with plot():
this makes the tick mark labels very large
plot( 1:3, 1:3, cex.axis=2.0, )
but this doesn't change them:
contour( 1:3, 1:3, array( data=0:9, dim=c(3,3) ), cex.axis=2.0, )
Antje niederlein-rstat at yahoo.de writes:
Hello,
I used an sapply to get some data back (s - sapply(...) ). The output
of s would then deliver something like this:
B06_lamp.csv C06_lamp.csv D06_lamp.csv
[1,] NULL NULL Numeric,512
[2,] NULL NULL
-Original Message-
From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
Sent: 16 February 2007 18:40
To: Jon Minton
Cc: r-help@stat.math.ethz.ch; 'Jon Minton'
Subject: Re: [R] missing - nonmissing levels
Well, if it is missing, how do you know what level to turn it back into?
That is what
On Fri, Feb 16, 2007 at 09:53:39PM +0100, [EMAIL PROTECTED] wrote:
i have a problem with creating histograms and plots under ubuntu linux.
After creating a vector test i want to make a histogram, but the following
error appears:
hist (test)
Error in X11() : could not find any X11 fonts
Hi
I am getting the following error for in R-2.3.1, x86-32bit linux
(2.4.21-27.0.2.ELhugemem), while trying to add packages:
Error in .readRDS(pfile) : error reading from connection
I am not sure what could be possibly wrong. Any help is appreciated.
Thanks.
-Gautam
On Fri, 16 Feb 2007, Derek Eder wrote:
I want to begin a migration of R workspaces from Windows to Ubuntu Linux.
(1) Can someone suggest the most appropriate path?
dump() ?
save() ?
(2) Are there any R platform migration related resources out there?
(I have not found
Hello all,
I'm looking for a way to be able to read a text file into R. It's a csv
file but when I do
txt -read.table(F00.csv, header=T, sep=,) It doesn't read the
file properly, and I only get 2 columns. If I open it up in OOc or Excel
it open right with 7 columns.
What I would really like to do
On 17-Feb-07 H. Paul Benton wrote:
Hello all,
I'm looking for a way to be able to read a text file into R.
It's a csv file but when I do
txt -read.table(F00.csv, header=T, sep=,)
It doesn't read the file properly, and I only get 2 columns.
If I open it up in OOc or Excel it open right with
Hi,
I'm unsure why I can't use eval(parse(text=...)) to represent the thing I
want to assign a value into.
e.g.
A - c(Good)
B - c(Bad)
C - c()
X - c(A, B, C)
eval(parse(text=X[1]))
[1] Good
eval(parse(text=X[2])) - Z
Z
[1] Bad
eval(parse(text=X[3])) - Ugly
Error in file(file, r) :
On 2/16/2007 4:18 PM, Greg Howard wrote:
I can't seem to control the size of the numeric labels for my contour
plots. I am using cex.axis, which works with plot():
this makes the tick mark labels very large
plot( 1:3, 1:3, cex.axis=2.0, )
but this doesn't change them:
contour( 1:3, 1:3,
Roland Rau wrote:
On 2/16/07, Petr Pikal [EMAIL PROTECTED] wrote:
Hi
slight modification of your function can be probably even quicker:
fff-function(x) sum(2^(which(rev(x))-1))
:-)
Petr
Yes, your function is slightly but consistently faster than my suggestion.
But my tests show still
On 2/16/2007 7:13 PM, Jon Minton wrote:
Hi,
I'm unsure why I can't use eval(parse(text=...)) to represent the thing I
want to assign a value into.
e.g.
A - c(Good)
B - c(Bad)
C - c()
X - c(A, B, C)
eval(parse(text=X[1]))
[1] Good
eval(parse(text=X[2])) - Z
Z
[1] Bad
If you are using edgy, try changing your FontPath settings in
/etc/X11/xorg.conf (mine listed below).
Reboot, and check to see there are no warnings about missing font
files in /var/log/Xorg.0.log.
Yuelin.
Section Files
FontPath/usr/share/fonts/X11/100dpi/:unscaled
Is there a function available in R that implements Mojena's Upper Tail Rule or
that draws a Mojena plot?
I would also like to find a function that implements Duda and Hart's stopping
rule.
Finally with function cophenet how can I achieve a straightforward Cophenet
correlation
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