On Jan 10, 2012, at 12:22 AM, Rolf Turner wrote:
On 10/01/12 15:25, David Winsemius wrote:
On Jan 9, 2012, at 8:19 PM, Rolf Turner wrote:
On 10/01/12 11:40, John Walker wrote:
I have a small problem with R graphics output. When I use the
lattice
package and CairoPDF to generate publicatio
On 10/01/12 15:25, David Winsemius wrote:
On Jan 9, 2012, at 8:19 PM, Rolf Turner wrote:
On 10/01/12 11:40, John Walker wrote:
I have a small problem with R graphics output. When I use the lattice
package and CairoPDF to generate publication quality graphs I often use
the expression to create
Dear R Community,
The deadline for proposing half-day tutorials for useR! 2012 is January
15. If you would like to propose a tutorial and have not yet submitted
a proposal to the web site, please do so by Jan. 15. More information
is below. It is also not too early to submit abstracts for c
Hello,
David is obviously right:
David Winsemius wrote
>
> If the sample space is defined, for instance,
> as the set of all positive integers whose sum is 100, then it might be
> possible to say that one randomly drawn instance of such a 4-tuple
> would be "4 random numbers". What I mea
Hi
I have a problem with this error, I have searched the archives and found
previous discussion about this, can I cannot understand how the explanations
apply to what I am trying to do.
I am trying to do Log_rank Survival analysis, I have included tables and str
command, is it a factor/int
Hi
I need help in the recursive problem. this is my code
#Generate two random Numbers
minval=20
maxval=100
cutoffValue=50
optVal<- function(cutoffValue,minval,maxval)
{
x=runif(2)
x=x*cutoffValue
for( i in 1:2)
{
if(x[i] < 30 || x[i] >60) # checking it falls between the ra
P.S.
If you want to use your function, revised, it may be a good idea: it's
faster
#write indexed mean function
meanfun <- function(x, inx, na.rm=FALSE) {
meanSD <- matrix(0, nrow=length(levels(inx)), ncol=length(3:ncol(x)))
for(i in 3:ncol(x)) {
meanSD[, i - 2] <
besides
I use Lag(x,h) to plot the lagged ts graph, it is very usefful
but when doing the regression(arima, xreg=), i am really not sure if I
should use lag(x,-h) or Lag(x,h)
from online i see people use lag(x,-h), but i didnt believe that, bc I can't
plot the lagged graph using this function.
Hello,
I believe that the following solves it:
aggregate(SD[, 3:ncol(SD)], by=list(ID), mean)
aggregate(SD[, 3:ncol(SD)], by=list(ID), mean, na.rm=TRUE)
It's the second you want, it will compute the means for groups that aren't
only NA
and return NaN for groups with all values NA.
Rui Barradas
lag is a very confusing function
i try to plot lag(x,-h) and y , the results are the same figures for all the
h lags.
then i saw online people use lag(x,-h) as xreg in arima
that won't work in my eyes if lag function is consistent, isnce it returns
the same value for all the lags
i don't know in wh
Hi all,
i'm fairly new to R and its graphing, but having unsuccessfully 'googled'
and checked this forum to find answer to my problem, i'm posting my question
here.
I'm trying to plot stacked barplot. I have simple data that looks like this:
bg ag
0.412.81
0.372.91
0.312
Hi,
I am new to R (and rusty on SQL!) and I'm trying to extract records from a
SQL server database. I have a table of patient records (LoadPUS) which have
three code columns which i want to evaluate against a list of particular
codes (CVD_ICD$ table). Given the size of the patient table I want to
On Jan 9, 2012, at 8:19 PM, Rolf Turner wrote:
On 10/01/12 11:40, John Walker wrote:
I have a small problem with R graphics output. When I use the lattice
package and CairoPDF to generate publication quality graphs I often
use
the expression to create an axis title that has microlitres or
m
try this:
> x <- structure(list(speed = c(3,9,14,8,7,6), result = c(0.697, 0.011, 0.015,
> 0.012, 0.018, 0.019), house = c(1,
+ 1, 1, 1, 1, 1), date = c(719, 1027, 1027, 1027, 1030, 1030),
+id = c("1000", "1",
+"10001", "10002", "10003", "10004")), .Names = c("speed",
+ "result", "hou
For each date, I would like to keep the line with the lowest speed and discard
the rest. The result would have one line for each date. Can I use aggregate
for this?
My table is as follows:
structure(list(speed = c(3,9,14,8,7,6), result = c(0.697, 0.011, 0.015, 0.012,
0.018, 0.019), house
On 10/01/12 11:40, John Walker wrote:
I have a small problem with R graphics output. When I use the lattice
package and CairoPDF to generate publication quality graphs I often use
the expression to create an axis title that has microlitres or
micrometers as a unit. I use something like the follow
On Mon, Jan 9, 2012 at 1:02 PM, Christof Kluß wrote:
> Hi
>
> one col in my Excel file contains many numbers. But on line 3000 and
> some other lines are strings like "FG 1". "RODBS" seems to omit this
> lines. "gdata" works, but is much slower.
>
> Is this a bug of RODBC or do I apply it wrong?
>
On Mon, Jan 9, 2012 at 6:39 PM, Sam Albers wrote:
> Hello all,
>
> I am trying to determine how to calculate rolling means in R using a
> grouping variable. Say I have a dataframe like so:
>
> dat1 <- data.frame(x = runif(2190, 0, 125), year=rep(1995:2000,
> each=365), jday=1:365, site="here")
> d
See suggestion inserted below.
It assumes and requires that every input IP address has the required four
elements.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 1/8/12 5:11 AM, "Enrico Schumann" wrote:
>
>Hi Andrew,
This question *screams* for the standard response: "What is the problem
you are trying to solve?"
I can think of two related problems off the top of my head.
1) Write a function which generates the four bridge hands from a
well-shuffled deck.
2) Throw 100 pennies into a big "shaker" with fo
Or package(BB) , depending on exactly what you want to do.
From: David Winsemius
Date: Sun, 08 Jan 2012 16:54:28 -0500
On Jan 8, 2012, at 4:51 PM, Ricardo Bandin wrote:
> Esteemed colleagues
>
> I wonder if there is a package in R that performs the functions of the
> Excel SOLVER.
>
> Thanks i
summary: Programmatically copying NetCDF mostly works: thanks for your
assistance! However, 4 followup questions/responses (and motivation
provided) below regarding problems encountered.
details:
Tom Roche Thu, 05 Jan 2012 18:29:35 -0500
>> I need to "do surgery" on a large netCDF file (technica
I have a small problem with R graphics output. When I use the lattice
package and CairoPDF to generate publication quality graphs I often use
the expression to create an axis title that has microlitres or
micrometers as a unit. I use something like the following
'expression(paste("Length (", mu,"m
Hello all,
I am trying to determine how to calculate rolling means in R using a
grouping variable. Say I have a dataframe like so:
dat1 <- data.frame(x = runif(2190, 0, 125), year=rep(1995:2000,
each=365), jday=1:365, site="here")
dat2 <- data.frame(x = runif(2190, 0, 200), year=rep(1995:2000,
ea
Dear r-help list members,
Is there an R package to compute the power and sample size of
generalized linear models
with categorical independent variables? I am especially interested in
the
negative binomial error model.
Failing this, is there any package outside of R that does this kind
If you use Excel and are prepared to use the RCOM package, another option for
reading Excel workbooks becomes available:
ado<-comCreateObject("ADODB.RecordSet")
sql<-"SELECT * FROM [Sheet1$]"
con<-"Provider=Microsoft.ACE.OLEDB.12.0;Data Source=XLSDataSource.xlsx;Extended
Properties='Excel 12.0 X
Thanks Deepayan. That did the trick.
xyplot(cpu~dt|zone,data=filt_zone_df,ylim=c(0,100),groups=pool,
auto.key=list(columns=min(4,length(unique(filt_zone_df$pool))),lines=T,points=F),
type="l",
main="Test Chart",
ylab="% Utilization",
panel=functi
Good. If you are using linux/unix I can send you the new version now,
otherwise I hope to submit to CRAN in about 10 days. Do note that most
people plot pointwise confidence intervals in this setting, but I think that
simultaneous confidence bands do have advantages.
Frank
Eleni Rapsomaniki-3 wr
You could prepare the data in Excel as text, and then coerce them to
numeric in R (and approriately code your "FG 1" strings).
Depending on how large your file is, you could create a new file, format
the cells as text, and then copy the data into this new file. Or change
cell entries to text
Is the labeling/naming of levels in the documentation for the
predict.glmmPQL function "backwards"? The documentation states "Level
values increase from outermost to innermost grouping, with level zero
corresponding to the population predictions". Taking the sample in
the documentation:
fit <- g
Alaios wrote on 01/09/2012 10:28:28 AM:
> Dear all,
> I would like to tell plot to limit the plotted area into values (for
> the x axis) that are from X1 to X2.
> I have tried to use xlim=c(X1,X2) inside plot.. but unfortunately
> this does only change the labeling of the xaxis and not the values
Mike MacFerrin wrote on 01/05/2012 09:28:56 PM:
> I'm using the {lattice} "levelplot" function to make a (more or less)
2-d
> histogram, and for the most part it's working fine with my data.
However, I
> can't get the color key to do what I need. I can give it labels and
custom
> cutoffs, b
On 9 January 2012 10:46, Christof Kluß wrote:
> thank you very much, so it is a known problem with the Microsoft Excel
> ODBC drivers :(
As I was advised a few weeks ago, the best way for Excel to get into R
is to export the file as CSV and use read.csv, read.csv2, or
read.table. Perhaps this is
#The following works:
a<-array(rnorm(20),dim=c(10,2))
b<-array(rnorm(20),dim=c(10,2))
ab<-cbind(a,b)
ab<-array(ab,dim=c(10,2,2))
-
Isaac
Research Assistant
Quantitative Finance Faculty, UTS
--
View this message in context:
http://r.789695.n4.nabble.com/How-can-I-stack-two-matrices-tp42
Hi Enrico,
thank you very much, so it is a known problem with the Microsoft Excel
ODBC drivers :(
"7 Excel Drivers
... There are at least two known problems with reading columns that do
not have a format set before data entry, and so start with format
`General'. First, the driver uses the fi rst
Hi,
I have been trying to do a simple GLM with count data using a poisson
distribution. The results show evidence of underdispersion. I have only ever
encountered overdispersion. Am I still able to use family=quasipoisson to
correct for underdispersion?
Thank you,
Karla
--
View this message
Hi Christof,
have a look at the manual of RODBC, and in particular the section on
Excel drivers.
RShowDoc("RODBC", package="RODBC")
Regards,
Enrico
Am 09.01.2012 19:02, schrieb Christof Kluß:
Hi
one col in my Excel file contains many numbers. But on line 3000 and
some other lines are str
Hi
one col in my Excel file contains many numbers. But on line 3000 and
some other lines are strings like "FG 1". "RODBS" seems to omit this
lines. "gdata" works, but is much slower.
Is this a bug of RODBC or do I apply it wrong?
Example with the same "file.xlsx"
library(RODBC); excel <- odbcC
On Mon, 9 Jan 2012, Bert Gunter wrote:
It's the print method that determines this.
Bert,
Oh. I wrap the lm() function in summary() so I didn't expect to see
differences in output.
See
stats:::print.summary.lm
and in particular the if clause beginning:
if (rdf > 5L) {
OK. I'll read
It's the print method that determines this.
See
stats:::print.summary.lm
and in particular the if clause beginning:
if (rdf > 5L) {
R code is open source. Once you know what to look for, you can examine
it yourself.
-- Bert
On Mon, Jan 9, 2012 at 9:25 AM, Rich Shepard wrote:
> All but
Hi
thank you very much for your useful answers! In this case I solved it
with Sarah's suggestion
tab[tab[[name]] == v,]
that works fine
Greetings
Christof
Am 05-01-2012 16:51, schrieb Christof Kluß:
> Hi
>
> I want to do something like
>
> a <- c(10,20,15,43,76,41,25,46)
> tab <- data.fram
All but one of the summaries of multiple linear regressions in this
analysis set present the residuals by min, 1Q, median, 3Q, and max. Example:
lm(formula = TDS ~ Cond + Ca + Cl + Mg + Na + SO4, data = snow.cast)
Residuals:
Min 1Q Median 3Q Max -277.351 -32.551 -2.62
On 01/09/2012 12:38 AM, Hintzen, Niels wrote:
Dear all,
I didn't manage to get any new insights on this, anyone from the list
suggestions?
Hi Niels --
Files in the data directory of a package can be an R script, so in
PkgA/data/f.R
f <- local({
message("curves ahead")
1:5
Hello,
I am using the package gamlss in R to plot repeated measurements. The
command I am using is par.plot(). It works great except one thing about the
label of the axises. I tried to label both x and y axises using ylab and
xlab options. But the plot only gives variable variables. The labels did
Ferebee Tunno mathstat.astate.edu> writes:
> Hi everyone -
>
> I know that R is capable of clustering using the k-means algorithm, but can
> R do k-means++ clustering as well?
k-means++ is a routine to suggest center points before the classical k-means
is called. The following lines of code wi
On Jan 9, 2012, at 10:27 AM, David Winsemius wrote:
On Jan 9, 2012, at 10:06 AM, arunkumar wrote:
Hi
I want to generate 4 random number which sum up to 100 always
"Random" plus condition == "non-random"
An offlist correspondent has disputed this and I can admit that I was
perhaps t
Dear all,
I would like to tell plot to limit the plotted area into values (for the x
axis) that are from X1 to X2.
I have tried to use xlim=c(X1,X2) inside plot.. but unfortunately this does
only change the labeling of the xaxis and not the values plotted there.
How I can do that in R?
B.R
Alex
See ?par and its argument mgp,
e.g.:
par(mgp=c(3, 0.5, 0))
Uwe Ligges
On 08.01.2012 20:13, vibhava wrote:
hi,
i am using par(mrow=c(6,6)) function to get 6x6 plots on one screen. the
problem that i am having is that the axis tick labels are far away from the
ticks and going into previous
You didn't show us what you did to get the results
you didn't want. I suspect you did not compute
groupId <- cumsum(c(TRUE, year[-1] != year[-length(year)]))
and aggregate by groupId instead of by year. (Note
that groupId counts how many changes there are
in the sequence of years.)
By the way
Thanks, Jorge!
--
View this message in context:
http://r.789695.n4.nabble.com/How-can-I-stack-two-matrices-tp4278614p4278855.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman
Try
foo <- function(n){
x <- runif(n)
x * 100 / sum(x)
}
foo(4)
HTH,
Jorge.-
On Mon, Jan 9, 2012 at 10:06 AM, arunkumar <> wrote:
> Hi
> I want to generate 4 random number which sum up to 100 always
>
> Please help
>
>
> -
> Thanks in Advance
>Arun
> --
> View this message in
try this:
> x <- matrix(runif(100), ncol = 4)
> # now scale each row to add up to 100
> x.new <- t(apply(x, 1, function(.row) .row * 100 / sum(.row)))
>
>
> x.new
[,1] [,2] [,3] [,4]
[1,] 25.868978 31.4867075 34.547444 8.0968705
[2,] 35.803781 28.3485728 27.177462 8
On 09/01/2012 10:12 AM, gli wrote:
hi, i want to draw a simple circle by using 3d package RGL.
i think i can use the command rgl.lines by studying the code from:
http://www.swiftless.com/tutorials/opengl/circle.html
but is there a faster and easier way to do it??
The code on that page is m
hi, i want to draw a simple circle by using 3d package RGL.
i think i can use the command rgl.lines by studying the code from:
http://www.swiftless.com/tutorials/opengl/circle.html
but is there a faster and easier way to do it??
graham
--
View this message in context:
http://r.789695.n4.na
On 09/01/2012 10:27 AM, David Winsemius wrote:
On Jan 9, 2012, at 10:06 AM, arunkumar wrote:
> Hi
> I want to generate 4 random number which sum up to 100 always
"Random" plus condition == "non-random"
Perhaps you want 3 "random" numbers conjoined to the difference of
their sum and 100?
On Jan 9, 2012, at 10:06 AM, arunkumar wrote:
Hi
I want to generate 4 random number which sum up to 100 always
"Random" plus condition == "non-random"
Perhaps you want 3 "random" numbers conjoined to the difference of
their sum and 100? Or perhaps you want 4 "random" numbers multiplied
On Mon, Jan 9, 2012 at 10:06 AM, arunkumar wrote:
> Hi
> I want to generate 4 random number which sum up to 100 always
>
> Please help
This sounds like homework.
But you might want to search rseek.org for information on random
numbers, and to ponder the mysteries of addition and division.
S
I am attemting to use glmD in order to use latex(obj) afterwards.
Glm works fine, glmD throws an error:
> conv.go <-
> glmD(cbind(go.cnt,tot.cnt-go.cnt)~sn+rcs(relAge,4)+termfac+rate:termfac+
+
I(relAge*term>(term-1.25))+I((prevbal/tot.cnt)*1e-4)+prod+newmort+
+
Hi
I want to generate 4 random number which sum up to 100 always
Please help
-
Thanks in Advance
Arun
--
View this message in context:
http://r.789695.n4.nabble.com/runif-with-condition-tp4278704p4278704.html
Sent from the R help mailing list archive at Nabble.com.
Hi Marcio,
Take a look at ?cbind and ?rbind.
HTH,
Jorge
On Mon, Jan 9, 2012 at 9:28 AM, dnz.marcio <> wrote:
> Hi,
>
> I'd like to stack two matrices. How can I do it without be column by
> column?
>
> Best regards,
>
> Márcio Diniz
> PhD Student
>
> IME - Mathematical and Statistics Institut
Hi
> Hello-
>
> I have rather a messy SPSS file which I have imported to R, I've dput'd
> some of the columns at the end of this message. I wish to get rid of all
> the labels and have numeric values using as.numeric. The funny thing is
> it works like this:
>
> as.numeric(mydata[,2]) # gene
Dear Professor Harrell,
Once again thank you for your helpful reply. I could use rcs instead, so I
look forward to your latest rms release (soon I hope?)
Initially I favoured fractional polynomials thinking that the model would
be easier to present, but now I see that with either method unless one
Hi,
I'd like to stack two matrices. How can I do it without be column by
column?
Best regards,
Márcio Diniz
PhD Student
IME - Mathematical and Statistics Institutee
USP - University of São Paulo
--
View this message in context:
http://r.789695.n4.nabble.com/How-can-I-stack-two-matrices-tp427
Hi Anna,
I think you use acf() function to calculate the variable autocorrelation.
I'd do:
ac <- acf(y, lag.max = 100)$acf
Here, you use $acf, then you can extract the values only.
Best regards,
Márcio Diniz
PhD Student
IME - Mathematical and Statistics Institute
USP - University - São Paulo
On Jan 9, 2012, at 7:55 AM, Martin Batholdy wrote:
Hi,
I have time-series data and I would like to fit a 2-gamma HRF to the
data
(http://en.wikibooks.org/wiki/SPM/Haemodynamic_Response_Function)
in order to get the explained variance and the maximum of the fitted
data.
Is there a strai
Perfect, many thanks for explanation and correct line of code.
On 09/01/2012 14:29, peter dalgaard wrote:
as.data.frame(lapply(mydata, as.numeric))
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the p
On Jan 9, 2012, at 9:06 AM, Andrew Gaska wrote:
Thanks for your answer!
There is one thing I could not find in aggregate():
I want to have it a sum for each group of 2008,2009 and 2010. In
aggregate() I can sum all the rows that have a rowname 2008, all
the rows
that have a rowname 2009 a
On Jan 9, 2012, at 15:11 , Chris Beeley wrote:
> Hello-
>
> I have rather a messy SPSS file which I have imported to R, I've dput'd some
> of the columns at the end of this message. I wish to get rid of all the
> labels and have numeric values using as.numeric. The funny thing is it works
> l
Hello-
I have rather a messy SPSS file which I have imported to R, I've dput'd
some of the columns at the end of this message. I wish to get rid of all
the labels and have numeric values using as.numeric. The funny thing is
it works like this:
as.numeric(mydata[,2]) # generates correct numbe
Thanks for your answer!
There is one thing I could not find in aggregate():
I want to have it a sum for each group of 2008,2009 and 2010. In
aggregate() I can sum all the rows that have a rowname 2008, all the rows
that have a rowname 2009 and all the rows that have a rowname 2010.
But I want
This does not exactly answer your question but if you were to use restricted
cubic splines instead of FPs, an upcoming new release of the rms package
allows one to easily obtain simultaneous confidence bands for any series of
predictions. So for your case you would hold all covariates constant exc
On Jan 9, 2012, at 14:22 , Alaios wrote:
> Dear all,
> I would like to use R to create a map , with some points with no copyright. I
> am trying to use the open street map interface of Rgooglemaps package.
>
> It seems that I am getting internal server error
> source('make2DaysMaps.R')
> [1]
>
See the gss package on CRAN.
Andy
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of ali_protocol
> Sent: Monday, January 09, 2012 7:13 AM
> To: r-help@r-project.org
> Subject: [R] What is the function for "smoothing splines wi
Dear R users,
The package 'mfp' that fits fractional polynomial terms to predictors.
Example:
data(GBSG)
f <- mfp(Surv(rfst, cens) ~ fp(age, df = 4, select = 0.05)
+ fp(prm, df = 4, select = 0.05), family = cox, data = GBSG)
print(f)
To describe the association between the origin
Thanks, reinstalling R 2.14.1 fixes this problem.
On Mon, Jan 9, 2012 at 8:31 PM, Duncan Murdoch wrote:
>
> On 12-01-08 9:56 PM, Xiaobo Gu wrote:
>>
>> Hi,
>>
>> install.packages("splines")
>>
>> Warning in install.packages :
>> package ‘splines’ is not available (for R version 2.14.1)
>
>
> sp
Dear all,
I would like to use R to create a map , with some points with no copyright. I
am trying to use the open street map interface of Rgooglemaps package.
It seems that I am getting internal server error
source('make2DaysMaps.R')
[1]
"http://tile.openstreetmap.org/cgi-bin/export?bbox=-74.021
On Sun, Jan 8, 2012 at 9:45 AM, Mike Dahman wrote:
> I'm hoping the community knowledge can help me out here. I have found great
> value in R, especially using it to generate charts, but I am still scaling
> the learning curve in a number of ways.
>
> I am looking plot one grouped line and one ung
Hi,
I am attempting to correct my models p-values due to temporal
autocorrelations. It is not possible to model the correlation, so I have to
make do with the p-value correction. I am feeling a bit thick hereI
cannot get the autocorrelation values. What is the argument?
My aim is to multi
Dear all,
I am new to R, and I am a biotechnologist, I want to fit a smoothing spline
with smoothing parameter selected by generalized maximum likelihood. I was
wondering what function implement this, and, if possible how I can find the
fitted results for a certain point (or predict from the fit
Dear fellow R users,
Keywords: Kruskal-Wallis, Post-Hoc, pair-wise comparisons,
Nemenyi-Damico-Wolfe-Dunn test, coin package, oneway_test
I am using the "oneway_test" function in the R package "coin" and I am
obtaining results which I cannot believe are accurate. I do not wish to waste
anyone'
Hi,
I have time-series data and I would like to fit a 2-gamma HRF to the data
(http://en.wikibooks.org/wiki/SPM/Haemodynamic_Response_Function)
in order to get the explained variance and the maximum of the fitted data.
Is there a straightforward function for that or a package that provides
func
On 12-01-08 9:56 PM, Xiaobo Gu wrote:
Hi,
install.packages("splines")
Warning in install.packages :
package ‘splines’ is not available (for R version 2.14.1)
splines is a base package, i.e. it is part of R, so you already have it
in the latest version. It won't be updated other than when
Hello,
you will find this helpful:
http://r.789695.n4.nabble.com/Where-is-the-splines-package-td2122794.html
"splines" is now a part of the normal R installation, David Winsemius
says there.
Regards, David
> Hi,
>
> install.packages("splines")
>
> Warning in install.packages :
> packa
On 09/01/12 16:32, jfca283 wrote:
Yes, it's work for my class.
Well, this list is ***NOT*** for giving help with homework.
However --- to get you started, read the help for arima.sim()
a bit more carefully, and look at what it says about the argument
"n.start". You are miss-using this argumen
Dear all,
I didn't manage to get any new insights on this, anyone from the list
suggestions?
Best regards,
Niels Hintzen
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Hintzen, Niels
Sent: maandag, januari 02, 2012 10:42
To: r-
85 matches
Mail list logo
