Hello Dirk,
thank you for your chick answer.
I tried another file and there it works. so i removed all files
which were created during of the compilation of add.c in windows
and so i could compile it under ubuntu too. During the windows
compilation there is some *.o file which is created during
From the help page:
'R CMD SHLIB' is the mechanism used by 'INSTALL' to compile source
code in packages. Please consult section 'Creating shared objects'
in the manual 'Writing R Extensions' for how to customize it (for
example to add 'cpp' flags and to add libraries to the link
Hi,
how can I convert the unit lines of par(mar) into inches?
par(mai) could help, but does not (see code below).
I want to plot a curve in a predefined size in pdf (I add some margin
space to the plot widthheight, everything is in cm):
pdf(test.pdf,width=(20+2+4)/2.54,height=(10+3+1)/2.54)
Andreas Wittmann wrote:
Hello Dirk,
thank you for your chick answer.
I tried another file and there it works. so i removed all files
which were created during of the compilation of add.c in windows
and so i could compile it under ubuntu too. During the windows
compilation there is some *.o file
Thomas Steiner wrote:
Hi,
how can I convert the unit lines of par(mar) into inches?
par(mai) could help, but does not (see code below).
I want to plot a curve in a predefined size in pdf (I add some margin
space to the plot widthheight, everything is in cm):
Hello,
I have a very large data set (collected automatically) of animal heart
frequencies. The data of course forms a time series. My problem is I do
not only have the real heart frequencies, but also quite a lot of
non-sense noise which needs to be filtered out.
Visually inspecting the data
[EMAIL PROTECTED] wrote:
I have a data set which is comprised of counts, that is, the number of times a
mass spectrometer measured a particular mass at a particular time (the rows and
columns of the table). Is there a way to make a plot so that it draws a square
at the mass/time spot on the
Jim,
Gabor is right, gantt.chart comes close but you will have to change all the
POSIXct axis calls to plain old axis calls and manually create the list of
gantt.info with the x values as numbers.
Mmm, I have had a quick look at the code and it seems a bit beyond me,
but it could be a good
Ok, thanks Peter, I try to be more accurate:
pdf(test.pdf,width=(20+2+4)/2.54,height=(10+3+1)/2.54)
x=seq(0,pi,length=100)
par( mai=c(2,3,4,1)/2.54 )
plot(x,cos(x),type=l,xlim=c(0,3),ylim=c(-1.2,1.2),xaxs=i,yaxs=i,asp=1)
conv=par(mar)/par(mai)
box(figure, col=darkblue)
dev.off()
Then figure has
Check out:
http://en.wikipedia.org/wiki/DFFITS
On Sun, Oct 19, 2008 at 1:26 AM, Kunio takezawa [EMAIL PROTECTED] wrote:
R-users
E-mail: r-help@r-project.org
Hi! R-users.
I am just wondering what the definition of dffits in R language is.
Let me show you an simple example.
function()
Thanks, Duncan, I agree with you in terms of doing the tests
independently. I've modified the code and updated the package at
R-forge.
As for the choice of vertical bars or points, you are free to provide
the option type = 'h' or type = 'p' in the function.
Regards,
Yihui
--
Yihui Xie [EMAIL
Then try something like this. We plot it as a stacked
horizontal bargraph where the first bar in the stack is white
and with border = 0 so its not visible.
# test data - rows are from and to points and
# column names are the labels
mat - matrix(1:10, 2, byrow = TRUE,
dimnames =
Thomas Steiner wrote:
Ok, thanks Peter, I try to be more accurate:
pdf(test.pdf,width=(20+2+4)/2.54,height=(10+3+1)/2.54)
x=seq(0,pi,length=100)
par( mai=c(2,3,4,1)/2.54 )
plot(x,cos(x),type=l,xlim=c(0,3),ylim=c(-1.2,1.2),xaxs=i,yaxs=i,asp=1)
conv=par(mar)/par(mai)
box(figure, col=darkblue)
Gabor,
Then try something like this. We plot it as a stacked
horizontal bargraph where the first bar in the stack is white
and with border = 0 so its not visible.
# test data - rows are from and to points and
# column names are the labels
mat - matrix(1:10, 2, byrow = TRUE,
Dear Kunio,
The approach in dffits() in R is equivalent to the definition of DFFITS_i in
Belsley, Kuh, and Welch, Regression Diagnostics (which is, I believe the
original source, or close to it), generalized to WLS. Possibly a more
transparent definition would be
dfs - function(mod){
rs
Its showing you the install.packages command that
the menu invokes. You can keep pressing Enter
to step through that and you can try entering the
same command from your R console to verify its
operation.
On Sun, Oct 19, 2008 at 10:09 AM, Brian Lunergan [EMAIL PROTECTED] wrote:
Gabor
Frank's remark was made in response to my posting. As funny as it was -
it was the best thing that could have happened to me. It sparked an
enlightening discussion between my committee and me (in particular, the pros
cons of stepwise vs. information theoretic approach to model selection).
Being
library(zoo)
d-(structure(c(1.39981554315924, 0.89196314359498, 0.407816250252697,
0.823496839063978, 1.14429021220358, 1.23971035967413, 0.960868900583432,
0.927685306209829, 1.22072345292821, 0.249842897450642, 1.00879641624694,
0.925372139878243, 0.317259909172362, 0.382677149697482), index =
Thank you for your suggestions - image() produced a plot that worked, I'll
be trying out all these other options as well.
-
Mark Ewing
On Sun, Oct 19, 2008 at 4:03 AM, Jim Lemon [EMAIL PROTECTED] wrote:
[EMAIL PROTECTED] wrote:
I have a data set which
Hi
I am attempting PCA and HCA on a dataset
The head of the table looks like this
VariableSamp1Samp2Samp3
109232
276 352
222 244
I cant stop R from
updn.gg - (structure(list(date = structure(c(11808, 11869, 11961, 11992,
12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057,
13149), class = Date), unrestored = c(1.13789418691602, 0.704948049842955,
0.276777348238899, 0.417586861554189, 0.504870337754768, 0.673201771716216,
Dear AJSS,
Perhaps:
# ---
# Data set
# ---
mydata=read.table(textConnection(
V1V2V3
1 15 10 4
26 4 7
3 10 5 2
48 6 6),header=TRUE)
closeAllConnections()
# ---
# Regression models
#
On Sun, Oct 19, 2008 at 10:49 AM, stephen sefick [EMAIL PROTECTED] wrote:
updn.gg - (structure(list(date = structure(c(11808, 11869, 11961, 11992,
12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057,
13149), class = Date), unrestored = c(1.13789418691602, 0.704948049842955,
well I must have either resolve it without knowing it, ot something
funny is going on... sorry I didn't run it in a clean R session.
Should have. works fine
thanks
Stephen Sefick
On Sun, Oct 19, 2008 at 12:01 PM, hadley wickham [EMAIL PROTECTED] wrote:
On Sun, Oct 19, 2008 at 10:49 AM,
Sonam sonam at ms.ie.u-ryukyu.ac.jp writes:
hello there,
can anyone tell me how to correct this error, Error in
nlm(if(analytic.gradient) objective.2 else objective.1, start,: probable
coding error in analytic gradient)
thanks in advance.
sonam
Look for an error in your
Thanks so much for the comments.
Of course, integrating
dbeta(theta[1],0.005,0.005)*dbeta(theta[2],0.005,0.005) over the
whole range is not something I am really interested in. I am just
concerned about the results I got for other integrands with extreme
priors using ADAPT function. It is true
zoo does have plot.zoo and xyplot.zoo
library(zoo)
xyplot(d)
plot(d)
but there is no zoo method for ggplot2 currently; however,
you can qplot d from its constituent pieces:
library(ggplot2); library(zoo)
qplot(time(d), coredata(d))
On Sun, Oct 19, 2008 at 11:22 AM, stephen sefick [EMAIL
Dear Jorge
Many thanks for your prompt reply. I tried to make use of the code provided by
you (as per file attached), but it did not work for me; got the following
output:
# ---
# Data set
# ---
mydata=read.table(textConnection(
+ V1V2V3
+ 115104
+ 2647
+
Dear AJSS,
The problem is in how we read the data set. Here is a slight modification:
# ---
# Data set
# ---
mydata=data.frame(
V1=c(15,6,10,8),
V2=c(10,4,5,6),
V3=c(4,7,2,6))
# ---
# Regression models
# ---
# Combinations
Paulo Cortez writes:
Achim Zeileis wrote:
On Thu, 16 Oct 2008, Paulo Cortez wrote:
Hi,
I want to save a RWeka model into a file, in order to retrive it
latter with a load function.
See this example:
library(RWeka)
NB - make_Weka_classifier(weka/classifiers/bayes/NaiveBayes)
On 19/10/2008, at 6:55 AM, Sonam wrote:
Dear R-experts,
I am trying to fit my model but I couldn't because of this error.
here is the error Error in solve.default(dial(m) -A) : Lapack routine
dgesv: system is exactly singular
thank you all.
sonam
Hey! Maybe the problem is that the
On 10/17/08, Chibisi Chima-Okereke [EMAIL PROTECTED] wrote:
Dear all,
Does anyone know how to overlay a 3d line on a wireframe plot?
See
http://lmdvr.r-forge.r-project.org/figures/figures.html?chapter=13;figure=13_07;
I would also
like to be able to keep the legend that you get when
On 10/17/08, Sharma, Dhruv [EMAIL PROTECTED] wrote:
Hi,
When I do a conditional histogram of X by Y and my Y ranges 0-100,000 I
get the x axis bin labels in scientific notation.
0 to 2e+06 etc.
is there a way to view the histogram bins without scientific notation?
Look at the scipen
Hi all,
I typically need to analyze data from large scale surveys obtained under
complex sampling designs and where sampling weights are provided. I
suspect that weights can be handled for some, but not all, packages.
Can someone point me to information about which packages can incorporate
Hi all,
Can anyone recommend a good reference for taking scalar and matrix
derivatives in R, and also doing integration in R. I've searched the
list and have not come across anything thus far. Thanks in advance,
David
--
Hi there,
I have just started using the MASS package in R to run M-estimator robust
regressions. The final output appears to only give coefficients, degrees of
freedom and t-stats. Does anyone know why R doesn't compute R or R-squared
and why doesn't give you any other indices of goodness of fit?
This looks fantastic. Thanks!
David
===
David Kaplan, Ph.D.
Professor
Department of Educational Psychology
University of Wisconsin - Madison
Educational Sciences, Room, 1061
1025 W. Johnson Street
Madison, WI 53706
email:
On 20/10/2008, at 9:51 AM, Boks, M.P.M. wrote:
Dear Experts,
Probably trivial, but I am struggling to get what I want:
I need to know how the number of required trials to get a certain
number of successes.
By example:
How many trials do I need to have 98% probability of 50 successes,
R-users
E-mail: r-help@r-project.org
Hi! R-users.
Check out:
http://en.wikipedia.org/wiki/DFFITS
The approach in dffits() in R is equivalent to the definition of DFFITS_i
in
Belsley, Kuh, and Welch, Regression Diagnostics (which is, I believe the
original source, or close to it),
Dear R-helpers,
I've got two functions; callTimes() calls times(), passing it an
optional argument (bar) by name (bar=harry). times() then believes it
has been passed a name, rather than a value — but I want the value,
not the name.
Worse, if I evaluate the name, it is evaluated in the
Gabor Grothendieck wrote:
Its showing you the install.packages command that
the menu invokes. You can keep pressing Enter
to step through that and you can try entering the
same command from your R console to verify its
operation.
Tried an install of car three different times. Once from the
Dear list,
I want to calculate SPE (squared prediction error) in x-space, can
someone help?
Here are my codes:
fit.pls-
plsr(Y~X,data=DAT,ncomp=3,scale=T,method='oscorespls',validation=CV,x=
T)
actual-fit.pls$model$X
pred-fit.pls$scores %*% t(fit.pls$loadings)
SPE.x-rowSums((actual-pred)^2)
leaps is not in Depends or Imports for car. It is in Suggests
and those don't get automatically pulled in when dependencies = NA.
What you could do is to replace the builtin menuInstallPkgs with
your own by running this:
assignInNamespace(menuInstallPkgs, function (type = getOption(pkgType)) {
Try this for timesDefineInside:
timesDefineInside - function(foo, ...) {
extra.args - list(...)
bar - extra.args$bar
foo * bar
}
-Kaom
On Oct 19, 2008, at 6:34 PM, Sietse Brouwer wrote:
Dear R-helpers,
I've got two functions; callTimes() calls times(), passing it an
optional
Why don't you want to do this?
timesDefineInside - function(foo, bar...) {
foo * bar
}
It seems like the obvious solution to your problem.
Hadley
On Sun, Oct 19, 2008 at 8:34 PM, Sietse Brouwer
[EMAIL PROTECTED] wrote:
Dear R-helpers,
I've got two functions; callTimes() calls times(),
hi,
say i have a function f and i'd like to to call it like this:
1) f(list(a=...,b=...))
but i can't do it, because f is defined as:
2) f-function(a=NULL,b=NULL){...}
is there a way that i can approximate 1), such as mapping list(a=,...b=...)
to list(a=,...b=...) and then replacing list by
I believe you want
do.call(f, list(a =..., b=...))
?do.call
-Kaom
On Oct 19, 2008, at 7:55 PM, erwann rogard wrote:
hi,
say i have a function f and i'd like to to call it like this:
1) f(list(a=...,b=...))
but i can't do it, because f is defined as:
2) f-function(a=NULL,b=NULL){...}
is
One idea:
if the primary variable of interest is a categorical (binary), I would
rather look at univariate plots for each of your 100 variables,
grouped by the primary one.
e.g.
library(latticeExtra)
marginal.plot(~ myBigDat, data = myBigData,
groups = myBinaryVar, auto.key = TRUE,
Indeed, that's all I need. Thanks!
On Sun, Oct 19, 2008 at 11:09 PM, Kaom Te [EMAIL PROTECTED] wrote:
I believe you want
do.call(f, list(a =..., b=...))
?do.call
-Kaom
On Oct 19, 2008, at 7:55 PM, erwann rogard wrote:
hi,
say i have a function f and i'd like to to call it like this:
On Sun, 19 Oct 2008, PARKERSO wrote:
Hi there,
I have just started using the MASS package in R to run M-estimator robust
regressions. The final output appears to only give coefficients, degrees of
freedom and t-stats. Does anyone know why R doesn't compute R or R-squared
These as only valid
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