Hi Dan,
thanks for the help, I'll try to resolve the sas.get problem
in a second moment , actually I bypassed the problem
creating a .csv file from my dataset and then using the
read.csv function to import it into R. The only problem is
that R imports only a 1000 observations, is that normal? Or
Hi Dan,
sorry for the precedent email, I created a csv file of only
1000 records by mistake, that's why R has only read 1000
records.
regards
Anna
- Messaggio Inoltrato -
Da : [EMAIL PROTECTED] [EMAIL PROTECTED]
A : Daniel Nordlund
[EMAIL PROTECTED],r-help@stat.math.ethz.ch
Oggetto :
I would like to be able to randomise presence-absence (i.e. binary)
matrices whilst keeping both the row and column totals constant. Is
there a function in R that would allow me to do this?
I'm working with vegetation presence-absence matrices based on field
observations. The matrices are
Folks,
I'm a bit puzzled by the fact that if I generate 100,000 standard normal
variates using rnorm() and perform the Jarque-Bera on the resulting vector,
I get p-values that vary drastically from run to run. Is this expected?
Surely the p-val should be close to 1 for each test?
Are
On Fri, April 27, 2007 7:02 pm, Murali Menon wrote:
Folks,
I'm a bit puzzled by the fact that if I generate 100,000 standard normal
variates using rnorm() and perform the Jarque-Bera on the resulting
vector,
I get p-values that vary drastically from run to run. Is this expected?
Surely the
hello,
I know how to use the function cor to do correlation frame but it remains a
problem because I wanna calculate correlation between vector with differents
dimensions it is possible?
for exemple my data :
V
[[1]]
[1] 97 104 103 98 99 92 99 99 98 87 95 101 91 104 98 96 84
Aldi Kraja wrote:
Hi,
If I use
x-1:10
y-rnorm(10,0,1)
### pdf(file=c:\\aldi\\test.pdf)
plot(x,y)
segments(x,y,x+2,y+2)
segments(x,y,x+0.5,y+0.5,col=3)
### dev.off()
### q()
Is there a way that I can imbed in the graph plot for each point defined
by x to x+0.5 and y to y+0.5
Dear all,
I'm using the nlme package. I would like to introduce the plot of my
groupedData object in my latex report using Sweave but it doesn't work.
I have no error message in R (Sweave(my.file_Rnw)) and the plot is
generated in R, but when I want to see the pdf (I'm using TexnicCenter) of
my
Gudday,
I've had a good look everywhere trying to figure out how to do this, but
I'm afraid I can seem to find an answer anywhere - maybe its because I'm
not using the right terms, or maybe its because I'm a dummy. But
unfortunately, I am not completely and utterly stuck. Here's the
problem:
I
On 27-Apr-07 09:38:55, elyakhlifi mustapha wrote:
hello,
I know how to use the function cor to do correlation frame
but it remains a problem because I wanna calculate correlation
between vector with differents dimensions it is possible?
for exemple my data :
V
[[1]]
[1] 97 104 103
Dear All,
I would like to use a nonparametric bootstrap to calculate the confidence
intervals for the 5% and 95% quantiles using boot.ci. As you know, boot.ci
requires the use of boot to generate bootstrap replicates for my statistic.
However this last function doesn't work in my case
ONKELINX, Thierry Thierry.ONKELINX at inbo.be writes:
Dear Fransico,
The distance matrix would be 102000 x 102000. So it would contain 1040400
values. If you need one bit for
each value, this would requier 9,7 GB. So the distance matrix won't fit in
the RAM of your computer.
Perhaps
Hi
f.dims - c(10,25,1,1,1,14)
m.dims - c(10, 1,1,1,1,14)
f - array(1:prod(f.dims),f.dims)
m - array(1:prod(m.dims),m.dims)
jj - do.call(abind,c(rep(list(m),25),along=2))
Then
f + jj
will give you what you want.
The more general problem is a bit harder, as you say
HTH
rksh
Thanks for your fast response.
I'm using R version 2.1.1 on OS X 10.3.9 to create the pdfs. I have tried
viewing the pdf output in both Acrobat 6 and 7 (both display a white border
around each polygon) as well as
Preview (displays fine). I have emailed the pdf file to some correspondents
On 4/27/2007 5:39 AM, [EMAIL PROTECTED] wrote:
Dear all,
I'm using the nlme package. I would like to introduce the plot of my
groupedData object in my latex report using Sweave but it doesn't work.
I have no error message in R (Sweave(my.file_Rnw)) and the plot is
generated in R, but when I
Hello Rhelpers,
I am trying to represent the following data (hereafter named donnees) in a
barchart with a grouping variable :
sitetraitement dates res
1 NT 17/10/2005 normal 76.2
1 T 17/10/2005 normal 103.2
1 NT 23/11/2005
[replying to myself]
it might be better to use
sweep(f,(1:6)[-2],m,+)
instead.
On 27 Apr 2007, at 11:56, Robin Hankin wrote:
Hi
f.dims - c(10,25,1,1,1,14)
m.dims - c(10, 1,1,1,1,14)
f - array(1:prod(f.dims),f.dims)
m - array(1:prod(m.dims),m.dims)
jj -
Hi Roger,
Yes, that's the FAQ to which I was referring in my original email.
Unfortunately, turning off smoothing for line art (as suggested in the FAQ) did
not work for me.
Many thanks,
-Matt
On Fri Apr 27 12:32 , Roger Bivand [EMAIL PROTECTED] sent:
Matt:
Is this by any chance a
The posting guide says
For questions about unexpected behavior or a possible bug, you should,
at a minimum, copy and paste the output from sessionInfo() into your message.
If you are using an old version of R and think it does not work
properly, upgrade to the latest version and try
Hi Nick,
This way isn't the most elegant but works well, especially if the
matrices aren't too large:
# This function works on 2x2 arrays, randomizing them, but
# preserving row and column totals
shuffle_matrix - function(x) {
nrow = dim(x)[1]
ncol = dim(x)[2]
rmargins - apply(x,1,sum)
Murali Menon schrieb:
Folks,
I'm a bit puzzled by the fact that if I generate 100,000 standard
normal variates using rnorm() and perform the Jarque-Bera on the
resulting vector, I get p-values that vary drastically from run to
run. Is this expected?
Yes.
Surely the p-val should be close
Hi all,
I have been using princomp() recently, its very useful indeed, but I have
a question about how to specify the rows of data you want it to choose.
I have a set of variables relating to bird characteristics and I have been
using princomp to produce PC scores from these.
However since I
Dear All,
I wonder if you could help me.
I have a table with a series of sites that I would like to sample from.
The table has 5 columns:
ID
X Coordinate
Y Coordinate
Value
Factor
The conditions are that each site can be selected more than once and the
probability of it being selected (or
Your solution is not suitable for quite large matrices.
There are several papers on the subject :
e.g. :
@ARTICLE{SD751,
author = {Gotelli, N.J. and Entsminger, G.L.},
title = {Swap and fill algorithms in null model analysis:rethinking
the knight's
tour},
journal = {Oecologia},
year
sample(df$ID, numOfTime, replace=TRUE, prob=df$Factor)
On 4/27/07, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
Dear All,
I wonder if you could help me.
I have a table with a series of sites that I would like to sample from.
The table has 5 columns:
ID
X Coordinate
Y Coordinate
Value
Hi Brian,
Terribly sorry if I accidentally broke a rule. sessionInfo() produces the
following:
sessionInfo()
R version 2.2.1, 2005-12-20, powerpc-apple-darwin7.9.0
attached base packages:
[1] methods stats graphics grDevices utils datasets
[7] base
I cannot upgrade to the
Stephanie Dray's comments are absolutely correct. This method will
only work with small matrics. The below modification is much faster
than the first version that I wrote, but still slow on large
matrices.
shuffle_matrix - function(x) {
nrow = dim(x)[1]
ncol = dim(x)[2]
cmargins -
Hello
I am using Jari Oksanen's CCA routine from the Vegan package on some estuary
data, following a technique applied in (Anderson, M.J. Gribble, N.A.,
1998, Partitioning the variation among spatial, temporal and environmental
components in a multivariate data set, Australian Journal of Ecology
On 27-Apr-07 12:15:29, [EMAIL PROTECTED] wrote:
Dear All,
I wonder if you could help me.
I have a table with a series of sites that I would like to
sample from.
The table has 5 columns:
ID
X Coordinate
Y Coordinate
Value
Factor
The conditions are that each site can be selected
Try
?r2dtable
On 4/27/07, Nick Cutler [EMAIL PROTECTED] wrote:
I would like to be able to randomise presence-absence (i.e. binary)
matrices whilst keeping both the row and column totals constant. Is
there a function in R that would allow me to do this?
I'm working with vegetation
On Fri, 2007-04-27 at 09:45 +0100, Nick Cutler wrote:
Hi Nick
(Been meaning to reply to your private email to me but I've been away on
vacation and at meeting for several weeks)
I would like to be able to randomise presence-absence (i.e. binary)
matrices whilst keeping both the row and
On Fri, 2007-04-27 at 16:03 +1000, Matthew McArthur wrote:
Hello
I am using Jari Oksanen's CCA routine from the Vegan package on some estuary
data, following a technique applied in (Anderson, M.J. Gribble, N.A.,
1998, Partitioning the variation among spatial, temporal and environmental
Today I tried to install the R-2.5.0 (currently running R-2.4.1) on
Mandriva Linux. The ./configure and make commands seem to run fine,
but make check gives the following messages:
running regression tests
make[3]: Entering directory `/home/ethomp04/R-2.5.0/tests'
running code in 'reg-tests-1.R'
The (*windows only*) xlsReadWrite package has been updated and the new
version is available on CRAN.
xlsReadWrite natively reads and writes Excel files (v97 - 2003).
o Changes from v1.1.1 to v1.3.3 (versions between never really published)
- ROWNAMES-support also for matrices (not only for
On Fri, 2007-04-27 at 12:58 +0100, Simon Pickett wrote:
Hi all,
I have been using princomp() recently, its very useful indeed, but I have
a question about how to specify the rows of data you want it to choose.
I have a set of variables relating to bird characteristics and I have been
hi,
I don't understand my error when I submit this program
for(k in LR) {
+ donRep[[k]] - subset(don2, Id_Essai == 1006961
Id_Cara == 193 Id_Rep == k , select = Val_O)
+ M[[193]] - matrix(rep(1, 3*min(C)), nrow = min(C),
ncol = 3)
+
Hey,
The syntax is:
if(condition){
#COMMANDS_A
} else{
#COMMANDS_B
}
Hope this helps,
-Matt
On Fri Apr 27 15:07 , elyakhlifi mustapha [EMAIL PROTECTED] sent:
hi,
I don't understand my error when I submit this program
for(k in LR) {
+ donRep[[k]]
+
Hmisc Version 3.3-2 has been posted to the CRAN repository.
Change Log
3.3-2 4/26/2007
Fixed bug with combine- function not handling NULL values.
3.3-1 3/29/2007
Created functions trunc.POSIXt, ceil.POSIXt, round.POSIXt to do
those ops on POSIXt objects. Removed chron
Hello,
I started a graphic device:
par(oma = c(2,0,0,0), mfrow=c(2,2) )
in the cols and rows are three images.
Now I want to write a text in the device region, it's the
main title of the graphic device. But when I use mtext() I can
only write in the figure region of my four plots.
Has anybody an
Hey Felix,
So basically what you want is a figure containing a block of four plots, with a
main title for the figure? If that's the case then something like this should
work:
# BEGIN CODE #
par(oma=c(0,0,1,0), mfrow=c(2,2))
for(i in 1:4){
plot(NA,xlim=range(0,10),ylim=range(-5,5))
The path is correct, and the file exists. Here is a transcript of the R
session:
-
sessionInfo()
R version 2.4.0 (2006-10-03)
i386-pc-mingw32
locale:
LC_COLLATE=English_United States.1252;LC_CTYPE=English_United
States.1252;LC_MONETARY=English_United
I am receiving the following errors when trying to install
gcrma and a number of other Bioconductor packages when
the installWithVers flag is set to be TRUE.
source(http://www.bioconductor.org/getBioC.R;);
getBioC(gcrma, installWithVers=T);
Running biocinstall version 2.0.7 with R version 2.5.0
Hi,
Does anyone know how to skip variables (or columns) in R. Say, for example
i had PUMFID position1 and Y_Q10A position 33 and i do not want to include
all the variables in between. Is there a way to do this in R when you are
extracting variables from a large .txt file with many, many
I am happy to announce that a new version of xlsReadWritePro is available.
xlsReadWritePro natively reads and writes Excel files (v97 - 2003) on
Windows. The pro version is more powerful than the free version but,
beeing a small company, we ask you to support our development and
maintenance
Is this an ad hominem comment or a comment of brevity? Unless my eyes
are playing tricks on me, I can't seem to find any language in the
Posting Guide on what is considered a reasonable vs. unreasonable
request from an anonymous poster. Kindly point me to it if it exists.
In any case, thanks
I don't think there is any requirement to identify yourself in any
way nor should their be. Many people on the list are in academia
and in those cases they probably want their name in lights but
others may wish to have a lower profile and its common to use
an alias on the net for privacy.
On
You need to have a look at Chapter 5 of the Intro to
R. I would recommend downloading the pdf and
printing it out. It is not an easy read but it should
help.
newdata - mydata[, c(PUMDID, Y_Q10A)]
or
newdata - mydata[, c(1,33)]
should do the trick
--- Natalie O'Toole [EMAIL PROTECTED]
Dear All,
I am using the following commands to do the scatter
plot of two vectors, say X and Y.
plot(X,Y, col=blue)
abline(a=1,b=1, col=red)
abline(a=-1,b=1, col=green)
I would like to split the scatter plot into 3 part
with 3 different colors: (i) points lies between 2
lines, (ii) points above
On 4/27/2007 11:41 AM, Gabor Grothendieck wrote:
I don't think there is any requirement to identify yourself in any
way nor should their be. Many people on the list are in academia
and in those cases they probably want their name in lights but
others may wish to have a lower profile and its
I think Duncan's suggestion that the poster work it out for
him/her self is perfectly reasonable. People can be anonymous
all they like. Those of us who are made suspicious by this
anonymity (what have they got to hide?) can decline to provide
assistance.
cheers,
Hi John,
I figured out the skipping of variables using a first subset then making
a second subset it worked!
Thanks,
Natalie
__
You need to have a look at Chapter 5 of the Intro to
R. I would recommend downloading the pdf and
printing it out. It is not an easy read but
On Fri, 27 Apr 2007 07:15:22 -0400,
Duncan Murdoch (DM) wrote:
On 4/27/2007 5:39 AM, [EMAIL PROTECTED] wrote:
Dear all,
I'm using the nlme package. I would like to introduce the plot of my
groupedData object in my latex report using Sweave but it doesn't work.
I have no error
Hi,
I am working on problem 2 of Chapter 8 in Data Analysis and Graphics Using R
and don't know how to approach the second half of the question:
In the data set (an artificial one of 3121 patients, that is similar to a
subset of the data analyzed in Stiell et al., 2001) head.injury, obtain a
Hi,
I would appreciate help with the following model
1=
gunload - read.table(hh('datasets/gunload.dat'), header = T)
gunload$method - factor(gunload$method, labels = c('new', 'old'))
gunload$physique - factor(gunload$group, labels = c('slight',
'average', 'heavy'))
gunload$team9 -
Quoting A Ezhil [EMAIL PROTECTED]:
Dear All,
I am using the following commands to do the scatter
plot of two vectors, say X and Y.
plot(X,Y, col=blue)
abline(a=1,b=1, col=red)
abline(a=-1,b=1, col=green)
I would like to split the scatter plot into 3 part
with 3 different colors: (i)
Hi everybody!
Can anybody help me to find an R-function
for the Siegel-Tukey test.
Than you in advance.
Ralf Finne
SYH, University of Applied Sciences
Vasa Finland
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
Hi experts!
Have anybody experience in including an R-program
as part of a larger system? In Matlab there is a toolbox
that converts a m-script into C-code.
One application in mind is that I do the model building in R,
for estimating the risk for cancer based on clinical measurements.
When
Hey again,
Just to let you know that I managed to test out R-2.5.0, and the
transparency glitch has thankfully disappeared. I apologise for wasting
your time with this.
One final question, though. Did you mean to say that the known
transparency bug was fixed in version 2.5.0? Or was it fixed
Hi,
I have the file below called happyguys. It is a subset of data. How do I
apply the weight variable (WTPP) to this file? Can i just multiply each
column (except the first column because it is a record id) by WTPP? If the
answer is yes, how do I multiply one variable name by another?
On 4/26/07, Michael Kubovy [EMAIL PROTECTED] wrote:
I'm not sure I understand.
I'm trying to add a filled band to show CIs around the data (which is
why I tried to use xYplot, where 'filled bands' have bug).
So with these data:
est - c(1:4, 3:6, 7, 9, 11, 13, 12, 15, 18, 21)
cond -
On Fri, 27 Apr 2007, Matthew Neilson wrote:
Hey again,
Just to let you know that I managed to test out R-2.5.0, and the transparency
glitch has thankfully disappeared. I apologise for wasting your time with
this.
One final question, though. Did you mean to say that the known transparency
On 4/27/07, GOUACHE David [EMAIL PROTECTED] wrote:
Hello Rhelpers,
I am trying to represent the following data (hereafter named donnees) in a
barchart with a grouping variable :
sitetraitement dates res
1 NT 17/10/2005 normal 76.2
1 T
The contrast and desirability packages are available for all platforms
at cran.r-project.org (and coming soon to a mirror near you).
The contrast package extends Frank Harrell's contrast.Design function
for one degree of freedom contrasts of model parameters to other types
of models, such as lm,
Ralf Finne wrote:
Hi experts!
Have anybody experience in including an R-program
as part of a larger system? In Matlab there is a toolbox
that converts a m-script into C-code.
One application in mind is that I do the model building in R,
for estimating the risk for cancer based on
On 4/27/07, Michael Kubovy [EMAIL PROTECTED] wrote:
Hi Deepayan,
Thanks for your advice. This is moving along, however:
The following is drawing the same polygons in each panel. I'm trying
to get a different polygon (confidence band) for each group in each
panel. That's why I thought I would
On Fri, 2007-04-27 at 20:29 +0300, Ralf Finne wrote:
Hi experts!
Have anybody experience in including an R-program
as part of a larger system? In Matlab there is a toolbox
that converts a m-script into C-code.
One application in mind is that I do the model building in R,
for estimating
In the near future I will release MiscPsycho, a package that contains
various functions useful for applied psychometricians. I would like to
include some data sets for distribution in the package, but have not
created any of these on my own, but have used data distributed in other
packages such as
Here is a recent posting by Petr Klasterecky that
does not seem to be on the archive yet that may help.
--
What do you mean by background? Maybe this is enough:
plot(seq(-3,3,.01), dnorm(seq(-3,3,.01)), type=n,
xlab=x,
ylab=f(x), main=Normal density)
Hi Deepayan,
Thanks for your advice. This is moving along, however:
The following is drawing the same polygons in each panel. I'm trying
to get a different polygon (confidence band) for each group in each
panel. That's why I thought I would need to pass groups and
subscripts to the
Hello,
I am trying to plot a quadratcount object over a ppp object in the spatstat
package. I ultimately want to get something like this
http://bg9.imslab.co.jp/Rhelp/R-2.4.0/src/library/spatstat/man/images/big_quadratcount_001.png
System:
Linux kernel 2.6.15 Ubuntu dapper
R version 2.4.1
ESS on Emacs 21.4.1
-
Colleagues
Has anyone figured out how to make the R-help digest more easily
readable in the Thunderbird mail client? I think the digest used to be
more readable than is currently the case
Hi Deepayan,
Your solution works, anf the polygon are drawn where I wanted them to
go. I thought that I could figure out how to gain control over the
colors of the four ensuing polygons (I'm trying to get two lighter
shades of the lines).
I've tried, for example, to see if I could control
Thank you for subscribing. You have now unsubscribed and no more messages will
be sent.
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
__
Hi Dr. Kubovy,
Here is my code so far: My question is: how do I then get a frequency
count of Y_Q10A with the WTPP applied to it?
myfile-(c:/test2.txt)
mysubset-myfile
mysubset$Y_Q02 -mysubset$DVSELF -NULL
mysubset2-mysubset
mysubset2$Y_Q10B -mysubset2$GP2_07 -NULL
Marc,
I believe the problem is with the function you are passing to the statistic
option. According to the documentation for boot, the statistic option
provides:
A function which when applied to data returns a vector
On 4/27/07, Michael Kubovy [EMAIL PROTECTED] wrote:
Hi Deepayan,
Your solution works, anf the polygon are drawn where I wanted them to
go. I thought that I could figure out how to gain control over the
colors of the four ensuing polygons (I'm trying to get two lighter
shades of the lines).
Hi,
I noticed that whenever I ran acf or pacf, the plot generated by R always
includes two horizontal blue doted lines. Furthermore, these two lines are
not documented in the acf documentation. I don't know what they are for, but
it seems that they are important. Could someone tell me what they
Please help me evaluate a dynamic variable as show in the code
snippet below.
# regular variable
a = c(1,2,3,4)
# dynamic variable set at runtime
DV = a
eval(DV)
-- a
eval(eval(DV))
-- a
# what I want
something_goes_here(DV)
-- 1,2,3,4
Can someone teach me how to do this? Thanks very
The lines indicate the confidence interval (95% by default). I think
you mean that it is not documented in help(acf), but it directs you to
plot.acf in the See Also secion.
From ?plot.acf:
Note:
The confidence interval plotted in 'plot.acf' is based on an
_uncorrelated_ series and
I can't thank you enough! (I am also grateful to Sundar Dorai-Raj and
Bert Gunter for their initial responses.)
On Apr 27, 2007, at 4:14 PM, Deepayan Sarkar wrote:
On 4/27/07, Michael Kubovy [EMAIL PROTECTED] wrote:
Hi Deepayan,
Your solution works, anf the polygon are drawn where I wanted
I'm not sure if I'm understanding what you're asking for but this may
be it:
DV=b
assign(DV,1:4)
DV
[1] b
b
[1] 1 2 3 4
On Fri, 27 Apr 2007, Bobby Prill wrote:
Please help me evaluate a dynamic variable as show in the code
snippet below.
# regular variable
a = c(1,2,3,4)
# dynamic
What are you trying to do with that? Most times when someone asks this
question, they are trying to accomplish something that can be done
better a different way, so if you tell us what you are trying to
accomplish, we can suggest better approaches.
The short answer to your question is ?get.
If I understand correctly what A. Ezhil asked for, polygons won't help
here. For coloring the individual points check ?points and use subsets, e.g.
plot(x,y)
points(x[xy-1],y[xy-1], col=red)
or something similar.
Petr
John Kane napsal(a):
Here is a recent posting by Petr Klasterecky that
Mark,
You're right. Thank you. Look, it works:
a = c(1,2,3)
a
[1] 1 2 3
b = a
b
[1] a
get(b)
[1] 1 2 3
On Apr 27, 2007, at 5:05 PM, Leeds, Mark (IED) wrote:
check out get using ?get. I'm not an expert but that might help or
work.
-Original Message-
From: [EMAIL
Does anyone know why it is giving me this error? Any help would be greatly
appreciated!!
Thanks,
Nat
myfile-(c:/test2.txt)
mysubset-myfile
mysubset$Y_Q02 -mysubset$DVSELF -NULL
mysubset2-mysubset
mysubset2$Y_Q10B -mysubset2$GP2_07 -NULL
Does
get(DV)
do what you want?
-Don
At 4:35 PM -0400 4/27/07, Bobby Prill wrote:
Please help me evaluate a dynamic variable as show in the code
snippet below.
# regular variable
a = c(1,2,3,4)
# dynamic variable set at runtime
DV = a
eval(DV)
-- a
eval(eval(DV))
-- a
# what I want
Hi Folks,
I have a nasty data restructuring problem!
I can think of one or two really clumsy ways of doing it
with 'for' loops and the like, but I can't think of a
*neat* way of doing it in R.
The data are the Hadley Centre Central England Temperature
series, daily from 01/01/1772 to 31/03/2007,
Thanks Eric!
I also noticed that in R, acf returns ac at lag 0, while pacf does not (pac
for pacf starts at lag 1). Do you know if there is a good reason for that?
Shouldn't ac at lag 0 always be 1?
On 4/27/07, Eric Thompson [EMAIL PROTECTED] wrote:
The lines indicate the confidence interval
When I reread it, I think you are right. I read split
the data plot and assumed a backround rather than just
the points .
--- Petr Klasterecky [EMAIL PROTECTED]
wrote:
If I understand correctly what A. Ezhil asked for,
polygons won't help
here. For coloring the individual points check
Hi Ted,
melt(df, id=c(year,DoM))
should get you started.
Hadley
On 4/27/07, Ted Harding [EMAIL PROTECTED] wrote:
Hi Folks,
I have a nasty data restructuring problem!
I can think of one or two really clumsy ways of doing it
with 'for' loops and the like, but I can't think of a
*neat* way
Ooops, add library(reshape) before that, and see
http://had.co.nz/reshape for more info
Hadley
On 4/27/07, hadley wickham [EMAIL PROTECTED] wrote:
Hi Ted,
melt(df, id=c(year,DoM))
should get you started.
Hadley
On 4/27/07, Ted Harding [EMAIL PROTECTED] wrote:
Hi Folks,
I have a nasty
Hi
Trying to finish a simple xyplot, but the key colors don't match
those specified on the plot. I have only been able to change the
color of the key text, but not the points.
Hours - c
(25.88,32.31,24.04,23.27,16.64,19.75,27.25,17.9,20.45,29.65,20.83,27.17,
Dear R Experts,
Why I try to run this expression:
x-sapply(rnorm(rep(10,10),mean=9,sd=1.5),mean)
it evaluates the first 1 values and then stops, but does not return
to the command prompt. My cpu keeps running at 100%. When I exit the
expression with CTL-C, I then see that x holds
On 27-Apr-07 22:43:58, hadley wickham wrote:
Ooops, add library(reshape) before that, and see
http://had.co.nz/reshape for more info
Hadley
On 4/27/07, hadley wickham [EMAIL PROTECTED] wrote:
Hi Ted,
melt(df, id=c(year,DoM))
should get you started.
Hadley
On 4/27/07, Ted Harding
On 4/27/07, Ken Nussear [EMAIL PROTECTED] wrote:
Hi
Trying to finish a simple xyplot, but the key colors don't match
those specified on the plot. I have only been able to change the
color of the key text, but not the points.
Hours - c
Here is a bit more. It creates a zoo series.
URL - http://hadobs.metoffice.com/hadcet/cetdl1772on.dat;
DF - read.table(URL, col.names = c(Year, DoM, 1:12), check = FALSE)
library(reshape)
long - melt(DF, c(Year, DoM))
long - subset(long, value != -999)
library(zoo)
dd - as.Date(with(long,
Deepayan fixed it in the end with this command. Posting for future
questions.
Thanks!
Ken
xyplot(DistanceMeters~Hours, groups=Surveyor, xlab=Time (h),
ylab=Distace Moved(m), par.settings = list(superpose.symbol = list
( pch = c(1, 16), col=c(black,black))), auto.key=list(space =
Hi,
I've written code to extact a pumf file in R, subset it, and weight it
like you would do in SPSS. My code is below it works great. My question
is: how do i then calculate the frequencies of smokers (1) versus
non-smokers (2) after having weighted my file? or even the process that
SPSS is
On 4/27/2007 7:13 PM, Robert Barber wrote:
Dear R Experts,
Why I try to run this expression:
x-sapply(rnorm(rep(10,10),mean=9,sd=1.5),mean)
it evaluates the first 1 values and then stops, but does not return
to the command prompt. My cpu keeps running at 100%. When I exit the
I have been unable to configure R-2.5.0 for the X11 interface on Red
Hat WS 4 x86-64 (AMD Opteron).
The configure script looks for XtToolkitInitialize in libXt, and does
not find it because it's not in libXt (which is present, however).
I tried installing openmotif and openmotif-devel, and
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