type ?par and then have a look at:
cex.lab, cex.main
cheers
christoph
[EMAIL PROTECTED] wrote:
Dear ladies and gentlemen!
When I use the plot funtion how can I change the size of the title for the x
and
y axes (xlab, ylab)and the size of the axes label ?
Thank you very much.
With best
as far as I know (and I am not a specialist), there is no way of
importing EPS in word, nor in openoffice, if you want to be able to
see the graphics in the word processor and not only a placeholder. So
either
a) use formats such as bmp, png,
or
b) under windows: convert eps to e.g. wmf using a
a - array(vector(list, 3), dim=c(3))
a[[1]] - list(x = 1, y = 0, z = -1)
a[[2]] - list(x = 0, y = 1, z = -1)
a[[3]] - list(x = 0, y = -1, z = 0)
HTH
christoph
Rainer M. Krug wrote:
Hi
I looked, but I didn't find it:
I need an array [0 to 101] where each element is a list (the result of
Hi
using this code example:
library(nlme)
fm1 - lme(Orthodont, random = ~1)
plot(augPred(fm1))
is there any way to have the plots in each cell labelled and ordered
according to Orthodont$Sex? I.e. in addition to the bar with the label for
Orthodont$Subject there is another bar labelling the Sex
hi
working with R-2.1.1 on winxp, in a loop I draw to a trellis.device which
takes some time. After the drawing I call savePlot().
it seems, the loop is too fast for the savePlot() call to finish. Is there
any solution for such a problem? Calling the same steps outside the loop,
works fine.
many
Hi,
We have data of two groups of subjects: 32 elderly, 14 young adults. for
each subject we have 15 observations, each observation consisting of a
reaction-time measure (RT) and an activation maesure (betadlpcv).
since we want to analyze the influence of (age-)group and RT on the
activation, we
sorry, RT had an error in raw data and was treated as a factor. after
correction of the raw data (RT is numeric) now it works fine.
thanks a lot
christoph
--- Ursprüngliche Nachricht ---
Von: Douglas Bates [EMAIL PROTECTED]
An: Christoph Lehmann [EMAIL PROTECTED]
Kopie: r-help
Dear useRs
is there any nonparametric test for the analysis of variance in a design
with two within-factors (repeated measures on both factors)? Friedman is not
appropriate here, therefore I am grateful for any alternative test.
thanks for any hint
cheers
christoph
--
Dear useRs
I need to compute studentized confidence intervals for a correlation,
using the boot library.
For this CIs we need to compute a variance estimate of the statistic
(here correlation coeff) from each boostrap sample. There are 2
important points, I think:
(1) We need to do a fisher
?as.factor states:
To revert a factor 'f' to its original
numeric values, 'as.numeric(levels(f))[f]' is recommended and
slightly more efficient than 'as.numeric(as.character(f))
christoph
Petr Pikal wrote:
Hi
On 6 May 2005 at 8:51, Paulo Justiniano Ribeiro Jr wrote:
as.numeric()
Not
I
heard that 'R' does not do a very good job at handling large datasets, is
this true?
importing huge datasets in a data.frame with e.g. a subsequent step of
conversion of some columns into factors may lead into memory troubles
(probably due to memory overhead when building out factors). But
test - data.frame(cbind(1:10,11:20))
names(test) - c(a, b)
test[test$b == 17,]
test[test$b %in% c(13, 15, 17),]
Tu Yu-Kang wrote:
Dear R experts,
My problem is as follows:
Suppose I have a data frame d comprising two variable a-c(1:10)
b-c(11:20).
I now want to select a subgroup
Hi
I run suse linux 9.1 and I installed MySQL server, client, devel, bench.
DBI is installed, when I try to install RMySQL I get an error saying,
that libz is missing.
(paths to libs were set:export PKG_CPPFLAGS=-I/usr/include/mysql/
export PKG_LIBS=-L/usr/lib/mysql/ -lmysqlclient)
so my
it seemed to be a problem with the rpm for suse 9.1.. I installed and
compiled R2.1 using the sources, then installation of RMySQL succeeded
mmmh ..
Christoph
Christoph Lehmann wrote:
Hi
I run suse linux 9.1 and I installed MySQL server, client, devel, bench.
DBI is installed, when I try
Hi
I just started with RMySQL. I have a database with roughly 12 millions
rows/records and 8 columns/fields.
From all 12 millions of records I want to import 3 fields only.
The fields are specified as:id int(11), group char(15), measurement
float(4,2).
Why does this take 1G RAM? I run R on
Hi
The result of a summary(as.factor(x)) (see example below) call is sorted
according to the factor level. How can I get the result not sorted but
in the original order of the levels in x?
test - c(120402, 120402, 120402, 1323, 1323,200393, 200393, 200393,
200393, 200393)
Dear useRs
We have a data-set (comma delimited) with 12Millions of rows, and 5
columns (in fact many more, but we need only 4 of them): id, factor 'a'
(5 levels), factor 'b' (15 levels), date-stamp, numeric measurement. We
run R on suse-linux 9.1 with 2GB RAM, (and a 3.5GB swap file).
on
look at:
AC Davison, DV Hinkley: Bootstrap Methods and Their Applications
there is also a R-library 'boot', based on methods reported in this book
C
Peter Soros wrote:
Dear R experts,
I would like to explore if and to what extent bootstrapping and
permutation statistics can help me for my
Hi
I used lsfit instead of lm since I have a huge Y data-set (X being
constant for all Y).
Since I require the t-values for all coefficients: which would be the
fastest way to compute them, eg for the example:
## using lsfit with a matrix response:
t.length - 5
d.dim - c(t.length,7,8,9) #
)
dim(z) - d.dim[2:4]
date()
## --
--
Christoph LehmannPhone: ++41 31 930 93 83
Department of Psychiatric NeurophysiologyMobile: ++41 76 570 28 00
University Hospital of Clinical Psychiatry Fax:++41 31 930 99
Now, I use my real dataset (900 instances, 21 attributes), which 2 classes
can be serparated with accuracy no more than 80% (10xval) with KNN, SVM, C4.5
and the like.
I thinks these accuracies are based on cross-validation runs. Whereas
the 80% accuracy you report using LDA is not based on
it. The original post was from
William Valdar, on April 19.)
Hope this helps,
Matt Wiener
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Christoph Lehmann
Sent: Thursday, April 21, 2005 9:24 AM
To: R-help@stat.math.ethz.ch
Subject: [R] apply vs sapply vs loop
sapply(split(test, test$year), function(x) list(x.s = sum(x$x), y.s =
sum(x$y), z.s = sum(x$z)))
or for one variable only
aggregate(test$x, list(id = test$year), sum)
cheers
christoph
jose silva wrote:
I know this question is very simple, but I am not figure it out
I have the data frame:
Hi
I have the following array:
test - array(c(1:16), dim = c(3,4,3))
test
## I call some enries using an index array
test.ind - array(rbind(c(1,2,1), c(3,3,2)), dim = c(2,3))
test[test.ind]
## suppose I want all values in the 2nd row and 4th col over
## all three 3rd dimensions
test[2,4,]
how to
dimensions
test[2,4,]
## using an index array
nn - dim(test)[3]
voxel.ind - c(2, 4)
test.ind - array(cbind(rep(voxel.ind[1], nn), rep(voxel.ind[2], nn),
1:nn), dim = c(nn, 3))
test[test.ind]
cheers
christoph
Christoph Lehmann wrote:
Hi
I have the following array:
test - array(c(1:16), dim = c(3,4,3
subset(your.data.frame, your.data.frame$sex == 'male')
cheers
c
Faouzi LYAZRHI wrote:
Hi,
I would like to select a few cases (for example cases corresponding to
sex=male) to make summary for another variable.
How can I do this.
Thanks for your help
Fawtzy
try this litte example:
save the code below in a file test.Rnw and call then
Sweave(test.Rnw, driver = RweaveHTML())
--
html
body
h1testing r2html/h1
plook at this: here you can write some text/p
font color=darkredbSexpr format(Sys.time(),%Y)/b/font.
echo=FALSE=
summary(data.frame(c(1,2,3),
Hi
I have a huge data-set with one column being of type date.
Of course I can import the data using this column as factor and then
convert it later to dates, using:
sws.bezuege$FaktDat - dates(as.character(sws.bezuege$FaktDat),
format = c(dates = d.m.y))
But the
)' is in
fact taken by package chron.
On Mon, 18 Apr 2005, Christoph Lehmann wrote:
I have a huge data-set with one column being of type date.
Of course I can import the data using this column as factor and then
convert it later to dates, using:
sws.bezuege$FaktDat - dates(as.character
Hi
if I use read.delim, I can specify how many lines I want to import.
Is there also a way to specify that, e.g. I want only the first column
field of each line to have imported?
thanks for a hint
cheers
christoph
__
R-help@stat.math.ethz.ch mailing
Hi I have a question concerning aggregation
(simple demo code S. below)
I have the data.frame
idmeas date
1 a 0.6375137471
2 a 0.1877100632
3 a 0.2470984592
4 a 0.3064476903
5 b 0.4075735772
6 b 0.7832550852
7 b 0.3442650823
8 b 0.103893068
for all entries with a corresponding 'data' != 2
for this do I have to nest two aggregate statements, or is there a way
using sapply or similar apply-based commands?
thanks a lot for your kind help.
Cheers!
Christoph
aggregate(data$meas, list(id = data$id), sum)
Christoph Lehmann wrote on 4
way:
sumWO2 - sapply(split(dat, dat$id), function(d) sum(d$meas[d$date !=
2]))
sumWO2
a b c
0.9439614 0.4481582 1.6967618
Andy
From: Christoph Lehmann
Dear Sundar, dear Andy
manyt thanks for the length(unique(x)) hint. It solves of course my
Dear all
I use aggregate with variables of type numeric and dates. For type numeric
functions, such as sum() are very fast, but similar simple functions, such
as min() are much slower for the variables of type 'dates'. The difference
gets bigger the larger the 'id' var is - but see this sample
Hi
I use sweave and have a problem with the following figure, but not with
other figures:
tt - data.frame(c(a, b, c), c(1.2, 3, 4.5))
names(tt) - c(x1, x2)
bwplot(x2 ~x1, data = tt)
ok now in sweave:
\begin{figure}[H]
\begin{center}
echo=FALSE, fig=TRUE, height=5, width=10=
lset(col.whitebg())
Hi
I try to import html text and I need to split the fields at each td or
/td entry
How can I succeed? sep = 'td' doens't yield the right result
thanks for hints
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Hi
I have a data.frame with say 10 continuous variables and one grouping
factor (say 3 levels)
how can I easily (without loops) apply for each continous variable e.g.
an aov, with the grouping factor as my factor (or if the grouping factor
has 2 levels, eg. a t-test)
thanks for a hint
cheers
many thanks for the sapply hint. How can I use sapply for a compact
result of the aov computation, say I call
sapply(dd[-1], function(y, f) aov(y ~ f), f = dd$V1)
aov gives the result in another form than t.test
thanks a lot
Peter Dalgaard wrote:
Christoph Lehmann [EMAIL PROTECTED] writes:
Hi
I
I have the following simple situation:
tt - data.frame(c(0.5, 1, 0.5))
names(tt) - a
plot(tt$a, type = 'o')
gives the following plot ('I' and '.' represent the axis):
I
I
I X
I
I
I X X
I...
1 2 3
what do I have to change to get the following:
I
I
I X
I
I
I X
Hi
in matlab I defined a function (double gamma, parameters at the end of
this mail) as
h(i)=((t/d1)^a1)*exp(-(t-d1)/b1)-c*((t/d2)^a2)*exp(-(t-d2)/b2);
h=h/norm(h);
I do know that norm() in matlab is equal to:
sqrt(sum(x^2))
in R
so in R I do it like:
#function (double gamama)
h -
thanks Andy and Dimitris for your reply to my expression/eval - problem
starting with the resulting expression g I need g's derivative as
expression, but I get: Function `eval' is not in the derivatives table:
#function (double gamama)
h -
Hi
since I have no experience with solaris and sparc-architecture. We
installed the latest Solaris 10 on a 64-bit ultra60 sparc machine. Since
the solaris 10 is said to run native linux-applications: can I just
download any r-binaries for linux? if yes, for which distribution?
or are there any
Hi
Is there a way to lable (e.g. observation-number) the outliers in a boxplot?
and in a bwplot?
thanks a lot
Christoph
P.S. identify() is not available with bwplot, is it?
__
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does it solve to a part your problem, if you use read.table() instead of
scan, since it imports data directly to a data.frame?
let me know, if it helps
Nawaaz Ahmed wrote:
I'm trying to read in datasets with roughly 150,000 rows and 600
features. I wrote a function using scan() to read it in (I
Department of Statistics
UC Berkeley
[EMAIL PROTECTED]
On Tue, 1 Feb 2005, Christoph Lehmann wrote:
Hi
I have a simple question:
the following data.frame
id iwv type
1 1 1a
2 1 2b
3 1 11b
4 1 5a
5 1 6c
6 2 4c
7 2
Hi
I have a simple question:
the following data.frame
id iwv type
1 1 1a
2 1 2b
3 1 11b
4 1 5a
5 1 6c
6 2 4c
7 2 3c
8 2 10a
9 3 6b
10 3 9a
11 3 8b
12 3 7c
shall be aggregated into the form:
id t.a t.b
Christoph Lehmann wrote:
Hi
I have 10 variables and 2 groups. I know how to plot a bwplot for ONE
var. e.g.
var.a var.b var.c .. GROUP
0.2 0.5 0.2 .. 0
0.3 0.2 0.2 .. 0
..
0.1 0.8 0.7 .. 1
0.5 0.5 0.1 .. 1
..
bwplot(var.a ~ GROUP, data = my.data)
How can I plot 10 bwplots
Hi
I have 10 variables and 2 groups. I know how to plot a bwplot for ONE
var. e.g.
var.a var.b var.c .. GROUP
0.2 0.5 0.2 .. 0
0.3 0.2 0.2 .. 0
..
0.1 0.8 0.7 .. 1
0.5 0.5 0.1 .. 1
..
bwplot(var.a ~ GROUP, data = my.data)
How can I plot 10 bwplots (or boxplots)
Hi
I have a matrix with 30 observations and roughly 3 variables, each
obs belongs to one of two groups. With svm and slda I get into memory
troubles ('cannot allocate vector of size' roughly 2G). PCA LDA runs
fine. Are there any way to use the memory issue withe SVM's? Or can you
recommend
package ROC from bioconductor, eg:
http://www.bioconductor.org/repository/release1.5/package/Win32/
Cheers!
Christoph
Xin Qi wrote:
Hi, Dear all R users:
Does someone know whether R can calculate the Receiver Operating
Characteristic (ROC) Curves? I didn't find it from the packages.
Thanks a
Dear all, not really a R question but:
If I want to check for the classification accuracy of a LDA with
previous PCA for dimensionality reduction by means of the LOOCV method:
Is it ok to do the PCA on the WHOLE dataset ONCE and then run the LDA
with the CV option set to TRUE (runs LOOCV)
--
, though, why you use PCA followed by LDA. But that's another
story.
Best,
R.
On Wednesday 24 November 2004 11:16, Christoph Lehmann wrote:
Dear all, not really a R question but:
If I want to check for the classification accuracy of a LDA with
previous PCA for dimensionality reduction by means
Hi
is there a way to plot only the loadings in a biplot (with the nice
arrows), and to skip the scores?
thanks
christoph
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PLEASE do read the posting guide!
Hi
when I fit a glm by
glm.fit(x,y,family = binomial())
and then try to use the object for prediction of newdata by:
predict.glm(object, newdata)
I get the error:
Error in terms.default(object) : no terms component
I know I can use glm() and a formula, but for my case I
Lumley wrote:
On Wed, 29 Sep 2004, Christoph Lehmann wrote:
Hi
when I fit a glm by
glm.fit(x,y,family = binomial())
and then try to use the object for prediction of newdata by:
predict.glm(object, newdata)
I get the error:
Error in terms.default(object) : no terms component
I know I can use
month06
day 21
language R
Thanks a lot
Best regards
Christoph
--
Christoph LehmannPhone: ++41 31 930 93 83
Department of Psychiatric NeurophysiologyMobile: ++41 76 570 28 00
University Hospital of Clinical Psychiatry Fax:++41 31 930 99 61
--
Christoph LehmannPhone: ++41 31 930 93 83
Department of Psychiatric NeurophysiologyMobile: ++41 76 570 28 00
University Hospital of Clinical Psychiatry Fax:++41 31 930 99 61
Waldau[EMAIL PROTECTED]
CH-3000 Bern 60
for your kind help
Cheers
Christoph
--
Christoph LehmannPhone: ++41 31 930 93 83
Department of Psychiatric NeurophysiologyMobile: ++41 76 570 28 00
University Hospital of Clinical Psychiatry Fax:++41 31 930 99 61
Waldau
Dear R-users, dear Ron
I use pls from the pls.pcr package for classification. Since I need to
know which variables are most influential onto the classification
performance, what criteria shall I look at:
a) B, the array of regression coefficients for a certain model (means a
certain number of
thanks to some great hints by Paul Murrel I could solve it: here we are
with one solution (code needs to be cleaned and simplified, but maybe
one can understand it)
###
## create a multifigure setting
nr - 4
nc - 2
opar - par(mfrow = c(nr, nc))
slices - 8
m - matrix(runif(100),10,10)
Hi
based on some code from Thomas Petzoldt (see below), I have a question,
about how to use locator() in a mfrow() multi-figure setting. I am sure
this should be a kind of problem, which other people face too?
we have 8 matrices each 10x10 fields, plotted as mfrow = c(2,4).
how can I get, using
I know, that I can use par(mfg = c(i,u)) to get the correct x,y
coordinates of one of the 8 matrices/subimages, but how can I get the i
and the j, means how can I know in which of the 8 images I am clicking in?
thanks
Christoph
Christoph Lehmann wrote:
Hi
based on some code from Thomas Petzoldt
Hi
After searching through a couples of documents and the mailing list I
dare to ask it here
I need to define an array with the size 64 x 64 x 16 x 1000 for
single-precision floating-point numbers. With 1G RAM I get always the
error:
cannot allocate vector of size 458752 Kb
reached total
Thank you, Prof. Ripley
I don't believe you read the rw-FAQ as the posting guide asks, though.
You seem to be working under Windows, without saying so (and the posting
guide does ask you to). So that's `a couples of documents' worth
`searching through'.
I apologize for not being more precise.
Hi
I am interested in data mining problems. Has anybody ever programmed and
worked with association rules in R?
I am very grateful for any hint.
Best regards
Christoph
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Dear R users
I have a 4-dimensional matrix (actually several 3d (x,y, slices)
matrices appended over time (volumes))
say, e.g. I want to z-transform the data (subtract the mean and divide
by the std-deviation)
for (slice in 1:slices) {
for (x in 1:x.dim) {
for (y in 1:y.dim) {
Hi
I can recommend you two files
a) http://www.psych.upenn.edu/~baron/rpsych/rpsych.html
b) http://www.pallier.org/ressources/stats_with_R/stats_with_R.pdf (in
french)
cheers
let me know whether this helped you
cheers
christoph
Matthias Unterhuber wrote:
Hello,
My name is Matthias and I do look
Hi
based on some code from Thomas Petzoldt, I have a question:
---
opar - par(mfrow = c(2,4))
slices - 8
m - matrix(runif(100),10,10)
my.list - list()
for (slice in 1:slices) {
my.list[[slice]] - m
}
for (slice in 1:slices) {
x - 1*(1:25)
y - 1*(1:25)
z - my.list[[slice]]
just a hint for further bootstrapping examples (worked out with R):
Bootstrap Methods and Their Applications by A.C. Davison and D.V. Hinkley
cheers
christoph
luciana wrote:
Dear Sirs,
I am a R beginning user: by mean of R I would like to apply the bootstrap to my data
in order to test cost
Hi
I use pixmapIndexed
tmp.vimp - array(0,c(x.dim,y.dim))
tmp.vimp - pixmapIndexed(tmp.vimp, col=rainbow)
to plot values of a 2D matrix. I 'fill' the pixmapIndexed like:
for (x in 1:x.dim) {
for (y in 1:y.dim) {
[EMAIL PROTECTED],y] - my.matrix[x,y]
}}
how can I
tmp.vimp - matrix(NA, nrow = x.dim, ncol = y.dim)
tmp.vimp - image(tmp.vimp, col=rainbow)
gives:
Error in image.default(tmp.vimp, col = rainbow) :
invalid z limits
In addition: Warning messages:
1: no finite arguments to min; returning Inf
2: no finite arguments to max; returning -Inf
even
a
graphic exactly here and now in the document?
Many thanks and best regards
Christoph
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(to an R structure, presumably)
Any idea, suggestion?
Cheers,
Christoph.
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a trivial topic in R :)
Cheers!
Christoph
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, ...)
#res[rand == i,] - res[rand == i,] + predict(learn,
data[rand == i,])
res[rand == i,] - res[rand == i,] + resmatrix(res[rand ==
i,],learn,data, rand, i)
}
}
factor(levels(truth)[max.col(res/nreps)], levels = levels(truth))
}
--
Christoph Lehmann [EMAIL PROTECTED
== i,])
res[rand == i,] - res[rand == i,] + resmatrix(res[rand ==
i,],learn,data, rand, i)
}
}
factor(levels(truth)[max.col(res/nreps)], levels = levels(truth))
}
--
Christoph Lehmann [EMAIL PROTECTED]
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Hi
I used princomp on a dataset x[!sub,]. How can I get the scores for
another dataset, say x[sub,]? I didn't succeed using predict()
thanks for a hint
cheers
christoph
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https
.
many thanks for a hint
cheers
christoph
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Residuals669 161.187 0.241
---
Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
which looks weird
or what would you recommend?
thanks a lot
Christoph
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https
by coercion
thanks for help, I need this possibility for storing objects (lm
results) in an array
cheers
Christoph
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PLEASE do read
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it just took the second level (mild AD) for the second class,
even though the second level was not used for the lda computation (only
the first level (C) and the third level (mod AD)
what shall I do to resolve this (little) problem?
thanks for a hint
christoph
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I try to fit a lmList model. If in the used dataframe a variable (a
column) has some NA the lmList gives an error, even this variable is not
used in the model. why? or what is my mistake?
Error in na.fail.default(data) : missing values in object
thanks
cheers
christoph
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..or any potential alternatives
many thanks for your kind help
christoph
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these
prerequisites most easily: I have a three-level (ordered factor)
response and four metric variables.
many thanks
Christoph
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-square), means: how much of the variance of
the dependent variable can be explained by the variance of the
independent variables.
thanks and best regards
christoph
On Tue, 2003-12-09 at 07:26, Prof Brian Ripley wrote:
On 8 Dec 2003, Christoph Lehmann wrote:
(1)In polr(), is there any way
, n2=15, number of potential variables: 37, no
equal variance in the two groups))
many thanks
cheers
christoph
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='h',col=blue,lwd=2)
Is there a similar way, doing this in Sweave?
many thanks
Christoph
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)
@
\caption{Original stick function (stimulus train)}
\end{center}
\end{figure}
many thanks
christoph
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/0.75,funct/max(funct),'g-')
function h=DeHemo(t,tau,N)
h=(t/tau).^(N-1).*exp(-t/tau)./(tau*factorial(N-1));
since I don't know matlab: is there any one who could tell me, how these
lines would look like in R, means, how I could do this deconvolution in
R?
Many thanks
Cheers
Christoph
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graphics device
plot(convolution,type='o')
many thanks!
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(pixmapGrey(fmri.vtc[,,slice,volume]))
identify(fmri.vtc[,,slice,volume])
warning: no point with 0.25 inches
pressing the right mouse button I get:
numeric(0)
what is the problem here and how can I solve it?
many thanks for your help
Cheers!
Christoph
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On Fri, 2003-09-26 at 12:44, Roger Bivand wrote:
Christoph Lehmann wrote:
I need to overlay two pixmaps (library (pixmap)). One, a pixmapGrey, is
the basis, and on this I need to overlay a pixmapIndexed, BUT: the
pixmapIndexed has set only some of its pixels to an indexed color,
many
,
for this in pixmapIndexed not defined pixels it should be transparent.
What would you recommend me to do? Should I go for another solution than
pixmap?
Many thanks
Cheers
Christoph
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University Hospital of Clinical Psychiatry
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in a loop, I don't want such errors to occur, since
this breaks my loop.
what is the problem here? What are potential solutions?
Many thanks
Christoph
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?
Many thanks
Christoph
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many thanks for your help
Christoph
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for your kind help
Christoph
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,
for obvious reasons makes no sense.
Many thanks for your help
Christoph
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