Rprintf is the right function, but this is the wrong list (please see the
posting guide). The issue is related to your 'C++ program', not to R
itself and we have no details. Non-R programming questions should go to
R-devel, as the posting guide says.
On Thu, 12 Jun 2008, Youyi Fong wrote:
On Thu, 12 Jun 2008, Henrik Bengtsson wrote:
A regular set is given by [set]. The complementary set is given
by [^set] where set is a set of symbols. I don't think you have
to escape symbols in set (but I might be wrong).
This covered in ?regexp. The metacharacters in character classes
?stop explains why this happens and how to change it.
You can also set options(error=expression(NULL)) to ignore all errors, and
use tryCatch() (or its wrapper try()) skip particular expressions if tjhey
fail.
But surely in your example your script should check for existence of the
file by
Hi Ivo,
On Friday 13 June 2008 12:23:06 am ivo welch wrote:
Dear Statisticians--- This is not even an R question, so please
forgive me. I have so much ignorance in this matter that I do not
know where to begin. I hope someone can point me to documentation
and/or a sample.
You will sure
Let me pick up on
Enabling SSE instructions in addition while building R (yes, you have to
enable them explicitly, see man gcc) is possible but does not help much
since all maths is mostly done in BLAS.
The final part is not true for my 'maths', only for those doing linear
algebra.
Erik Iverson wrote:
ss wrote:
It is:
data -
read.table('E-TABM-1-processed-data-1342561271_log2_with_symbols.txt',
row.names = NULL ,header=TRUE, fill=TRUE)
class(data[3])
[1] data.frame
Oops, should have said class(data[[3]]) and
is.numeric(data[[3]])
oops, my typo. of
Hi,
I am trying to parse a large amount of text using gregexpr(). Unfortunately,
I get an input buffer overflow message when I attempt that with too large
an amount of text. The error messages occurs before the parsing. The problem
is that I cannot assign the text to a variable (an object) if the
Dear guRus,
I would like to loop over a medium amount of Sweave code, including both R and
LaTeX chunks. Is there any way to do so? As an illustration, can I create a
.tex file like this using a loop within a .Rnw file, where the 1,2,3 comes
from some iteration variable in R?
Hi list,
I wanted to plot an image with a colorbar to the right of the plot, but set my
own axis labels (text rather than numbers) to the image. I have previously
accomplished this with two calls to image(), but the package 'fields' has a
wrapper function, image.plot(), which does this task
Dear Stephan,
I have the same problem than you. My solution is a bit different but not very
elegant
I have a master document (let say master.Snw) and a file containing the code to
repeat (which would be in the loop).
In the master document I start a counter at 0, and I copy
Dear R Group:
I have little experience using R and even less experience with control
flow type questions.
See the following code:
a1 = c(0, 1, 1, 1,
0, 0, 0, 0, 0,
0, 0, 1,
1, 1, 1, 0, 0)
for(i in 1:1){
sx - paste(a,i,sep=)
s - eval(parse(text =
On Fri, 13 Jun 2008, Daniel Malter wrote:
Hi,
I am trying to parse a large amount of text using gregexpr(). Unfortunately,
I get an input buffer overflow message when I attempt that with too large
an amount of text. The error messages occurs before the parsing. The problem
is that I cannot
Rafael Barros de Rezende:
I would like to know if there is a way to increase the for() loop speed
because in my routine the calculations are too slow.
Read the article 'How Can I Avoid This Loop or Make It Faster?' on page 46
in the latest R News
Dear R users,
I am mailing you about the graphical output of silhouette (cluster
package)
From the example of silhouette in help(silhouette):
ar - agnes(ruspini)
si3 - silhouette(cutree(ar, k = 5), # k = 4 gave the same as pam()
above
+daisy(ruspini))
plot(si3,
Peter Dalgaard wrote:
...
That'll be anti-hist()-amine, I presume?
I would think p-necillin a more appropriate treatment.
Jim
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
Hi,
well; this is not a R-specific question. But perhaps you can help.
If I've got an irregularly sampled time series, and conduct a moving
average filter (e.g., with a triangular kernel), how could the uncertainty
bounds be calculated?
Thanks and best regards
J.
---
Hi,
I wish to write a new link function for a GLM. R's glm routine does
not supply the loglog link. I modified the make.link function adding
the code:
}, loglog = {
linkfun - function(mu) -log(-log(mu))
linkinv - function(eta) exp(-exp(-eta))
mu.eta - function(eta)
I also noticed that adding a custom axis with image.plot was a problem;
you can also do:
library(fields)
m - matrix(1:15,ncol=3)
par(mar=c(5,5,5,7))
image(m, axes=FALSE)
# add axis
axis(1,axTicks(1),lab=letters[1:length(axTicks(1))])
box()
## add legend
image.plot(m, legend.only=TRUE)
Stephan Kolassa Stephan.Kolassa at gmx.de writes:
I would like to loop over a medium amount of Sweave code, including both R and
LaTeX chunks. Is there any way to
do so? As an illustration, can I create a .tex file like this using a loop
within a .Rnw file, where the
1,2,3 comes from some
Dear Kimmo,
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On
Behalf Of K. Elo
Sent: June-13-08 1:43 AM
To: r-help@r-project.org
Subject: Re: [R] MCA in R
Dear John,
thanks for Your quick reply.
John Fox wrote:
Dear Kimmo,
MCA is a rather old
I suspect there is a simple solution to this problem, but have been
unable to find it. Below is some code that I have run to create 3
lattice graphs. I have been asked to change the legend so that the
'No' and dark blue are above Y and light blue in the legend to
mirror the stacked bars in
Hi Bob,
Would this:
mykey - list(
rectangles = list(col=c(dark blue,light blue) ),
text=list(lab=c(No,Yes)),x = .6, y = .7, corner = c(0, 0))
barchart(Freq ~ Status | which, groups=group, data=stuff, stack=TRUE,
as.table=TRUE, layout=c(2,2),
I wrote an R-news note about this sort of thing in 2006, you can
navigate there via CRAN...
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678
Hi,
I'm writing a short course tutorial to Browninan Motion/ Langevin Equation.
At the end of the theory section I wanted to add a short GNU R example, so the
students can play a little around.
I already looked in the MASS book (by Venables and Ripley) but I couldn't find
any Brownian Motion/
Although John Fox naturally mentions his Anova function, I would like to
point out that drop1() (and MASS::dropterm) also does the tests of Type-II
ANOVA of which John says 'more tediously do these tests directly'.
It seems a lot easier to teach newcomers about drop1() than to introduce
the
Dear Brian,
-Original Message-
From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
Sent: June-13-08 8:13 AM
To: John Fox
Cc: 'K. Elo'; r-help@r-project.org
Subject: Re: [R] MCA in R
Although John Fox naturally mentions his Anova function, I would like to
point out that drop1()
| I'm trying to use mars function in R to interpolate nonlinear
| multivariate functions.
| However, it seems that mars gives me a fit which uses only very few
| basis function and it underfits very badly.
Try the earth package which extends the mars function in the mda package.
Your example
Google R and Browninan Motion.. It turned up this link:
http://landshape.org/enm/r-code-for-brownian-motion/
Mybe this will help.
On Fri, Jun 13, 2008 at 8:08 AM, Peter Mueller [EMAIL PROTECTED] wrote:
Hi,
I'm writing a short course tutorial to Browninan Motion/ Langevin Equation.
At the end
RSEIS - I think may have a piper diagram.
On Thu, Jun 12, 2008 at 8:39 PM, Michael Grant [EMAIL PROTECTED] wrote:
Sorry no previous message text or addresses, but I just cleaned my mailbox
and then found something relevant. Regarding the Piper diagram. I just
noticed the 'hydrogeo' package
Hello R-Users,
I came across this link on CodeProject.com and was wondering, if anyone has
implemented this and the benefits of doing so.
This may also be of some help for others. Here is a link to the project:
http://www.codeproject.com/KB/cs/RtoCSharp.aspx
Regards,
Neil Gupta
This is about Windows, C# and R-(D)COM. The latter has its own list which
would be much more appropriate. See http://sunsite.univie.ac.at/rcom/
(Linked from CRAN-Software-Other.)
On Fri, 13 Jun 2008, Neil Gupta wrote:
Hello R-Users,
I came across this link on CodeProject.com and was
Does someone have an idea?
Thanks a lot!
Udo
Quoting Udo [EMAIL PROTECTED]:
Dear list,
I have a problem with freq from prettyR.
Please have a look at my syntax with a litte example:
library(prettyR)
#Version 1
test.df-data.frame(q1=sample(1:4,8,TRUE), gender=sample(c(f,m),8,TRUE))
Hello! When I tried to call Front41 in R, I met some problem. After I
entered: system ('front41.exe'), an error occured :
jwe0019i-u The program was terminated abnormally with Exception Code
EXCEPTION_ACCESS_VIOLATION.
error summary (Fortran)
error number error level error count
jwe0019i
Hi,
I have a very simple problem but I can't think how to solve it without
using a for loop and creating a large logical vector. However given the
nature of the problem I am sure there is a 1-liner that could do the
same thing much more efficiently.
bascially I have a dataframe with
Hello,
I'm trying to calculate the Maximum likelihood estimators for a dataset
which contains censored data.
I started by using the function nlm, but isn't there a separate method
for doing this for e.g. the weibull and the log-normal distribution?
Thanks,
Olivia
Hi,
I too had this same problem but it got resolved by installing two
packages :
1. kernel-headers
2. kernel-devel
I hope this helps in your case.
Regards
Sharwan
Joe_K wrote:
Dear Friends,
I am trying to install a few packages in R and am receiving error
messages. Since the error
Since this is a contributed package, you should be contacting the
maintainer (as mentioned in the posting guide).
Anyway, the problem occurs because in the second case you have a factor
in the first column and numeric in the second. This part of the code
will illustrate what I mean:
for (i
On 6/13/2008 10:07 AM, james perkins wrote:
Hi,
I have a very simple problem but I can't think how to solve it without
using a for loop and creating a large logical vector. However given the
nature of the problem I am sure there is a 1-liner that could do the
same thing much more
Hello everyone,
I am trying to plot a histogram from the following code:
dat-read.table(file=C:\\Documents and Settings\\Owner\\My
Documents\\Yeast\\Yeast.txt,header=T,row.names=1)
file.show(file=C:\\Documents and Settings\\Owner\\My
Documents\\Yeast\\Yeast.txt)
x-dat[2,23:46]
james perkins wrote:
Hi,
I have a very simple problem but I can't think how to solve it without
using a for loop and creating a large logical vector. However given
the nature of the problem I am sure there is a 1-liner that could do
the same thing much more efficiently.
bascially I have a
It is hard to respond without reproducible examples. Do
str(dat[2,23:46]) and see what it reports. My guess is that one of
the columns is not numeric. Find out which one it is, fix it and then
try 'hist' again.
On Fri, Jun 13, 2008 at 10:21 AM, Paul Adams [EMAIL PROTECTED] wrote:
Hello
Paul Adams wrote:
Hello everyone,
I am trying to plot a histogram from the following code:
dat-read.table(file=C:\\Documents and Settings\\Owner\\My
Documents\\Yeast\\Yeast.txt,header=T,row.names=1)
file.show(file=C:\\Documents and Settings\\Owner\\My
Documents\\Yeast\\Yeast.txt)
Thanks a lot for that. Its the %in% I needed to work out mainly
large didn't mean anything in particular, just that it gets quite long
with the real data.
I did mean: names = c(John, Phil, Robert)
The only problem is that using the method you suggest is that I lose the
indexing, ie in the
Hi,
please someone correct me, but
On 13/06/2008, 07:21, [EMAIL PROTECTED] wrote:
dat-read.table(file=C:\\Documents and Settings\\Owner\\My
Documents\\Yeast\\Yeast.txt,header=T,row.names=1)
Check mode and class of dat. read.table provided you with a dataframe
of, essentially, string data.
jim holtman wrote:
It is hard to respond without reproducible examples. Do
str(dat[2,23:46]) and see what it reports. My guess is that one of
the columns is not numeric. Find out which one it is, fix it and then
try 'hist' again.
No, this will be wrong whatever the data are. The problem
james perkins wrote:
Thanks a lot for that. Its the %in% I needed to work out mainly
large didn't mean anything in particular, just that it gets quite long
with the real data.
I did mean: names = c(John, Phil, Robert)
The only problem is that using the method you suggest is that I lose
the
Hi the list,
I write a package for clusterizing longitudinal data using a non
parametric algorithm. I develop the package under windows. To be as
user friendly as possible, the package use some graphical procedure to
show to the user the evolution of the cluster construction, and to
export
james perkins wrote:
Thanks a lot for that. Its the %in% I needed to work out mainly
large didn't mean anything in particular, just that it gets quite long
with the real data.
I did mean: names = c(John, Phil, Robert)
The only problem is that using the method you suggest is that I lose
the
Dear all,
I'm trying to improve the default layout of tick marks for log scaled
axes in ggplot2. To this end, it would be really useful to see what
people actually do in practice. If you've ever made a log-log (or
semi-log) plot and customised the location of the ticks, I'd really
appreciate a
Hi,
I'm having issues using this package to parse large XML files.
Where should bugs be reported? The omegahat website has several
broken links.
Regards
David Keegan.
--
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
Dear useRs,
How do I ask for the rest of a division?
For instantce, in C is like:
4%2 = 0
Best regards,
--
Eric B Ferreira
Exact Sciences Department
Federal University of Lavras
Brasil
[[alternative HTML version deleted]]
__
Eric Ferreira wrote:
Dear useRs,
How do I ask for the rest of a division?
For instantce, in C is like:
4%2 = 0
Best regards,
4%%2
[1] 0
--
O__ Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*)
?%%
On Jun 13, 2008, at 11:23 AM, Eric Ferreira wrote:
Dear useRs,
How do I ask for the rest of a division?
For instantce, in C is like:
4%2 = 0
Best regards,
--
Eric B Ferreira
Exact Sciences Department
Federal University of Lavras
Brasil
Haris Skiadas
Department of Mathematics and
Bugs to the package maintainer, for this and all packages
packageDescription('XML')[['Maintainer']]
[1] Duncan Temple Lang [EMAIL PROTECTED]
Best luck will come with the usual, sessionInfo(), easily reproducible
and compact example, use of current software versions, etc.
Martin
David
Stephan Kolassa wrote on 06/13/2008 03:22 AM:
Dear guRus,
I would like to loop over a medium amount of Sweave code, including both R and LaTeX
chunks. Is there any way to do so? As an illustration, can I create a .tex file like this
using a loop within a .Rnw file, where the 1,2,3 comes from
?Arithmetic
Eric Ferreira wrote:
Dear useRs,
How do I ask for the rest of a division?
For instantce, in C is like:
4%2 = 0
Best regards,
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the
Dear list,
I'm trying to figure out how to use the reshape package to reshape
data from a wide format to a long format. I have data like this
pid - c(1:10)
predA - c(-1,-2,-1,-2,-1,-2,-1,-2,-1,-2)
predB.1 - c(0,0,0,1,1,0,0,0,1,1)
predB.2 - c(2,2,3,3,3,2,2,3,3,3)
predC.1 -
See
?rle
Start with this:
a1.runs - rle( a1 )
a1.runs$lengths[ a1.runs$values0 ]
[1] 3 4
HTH,
Chuck
p.s.
library(fortunes)
fortune(106)
If the answer is parse() you should usually rethink the question.
-- Thomas Lumley
R-help (February 2005)
--
see
?get
Jim,
My code is this:
mergefunc - function(x,seqFile){
# merge(seqFile,x)
cbind(x, seqFile[ match(as.vector(x$index), as.vector(seqFile$index)),
])
}
LIX - lapply(d.frame[[1]], mergefunc,seqFile=seqFile)
Each matrix/data.frame takes 0.2 seconds and then to do this
1240 times takes ~4 minutes.
Thanks a lot, Jim!
Since this is a contributed package, you should be contacting the
maintainer (as mentioned in the posting guide).
sorry
Anyway, the problem occurs because in the second case you have a factor
in the first column and numeric in the second. This part of the code
will
What is the structure of 'd.frame' and 'segFile'? Run Rprof so that
we can see which of the functions it is spending its time in. What
happens if x$index is not in seqFile$index? Are the values in the
'index' unique in both structures? Subsetting a data frame can be
expensive when compared to
Jim,
d.frame[[i]] is a list of data.frames and seqFile is a
data.frame. I have coverted them to vectors/matrixes and
the timing is the same as data.frame. 'index' is unique
in both structures. The list is subset into data.frame/matrix
structures.
Lana
-Original Message-
From: jim
I am drawing level plots but I would like to specify the range of the colorkey,
I am not having any success figuring this out so any help would be greatly
appreciated!
Here is an example of what I am trying to do:
disp-1
x - seq(1, 10,by=1)
y - seq(1,10,by=1)
g - expand.grid(x = x, y = y)
Dear list,
I just tried to use the function cluster.stat in the package fpc.
I just have a couple of questions about the syntax:
cluster.stats(d,clustering,alt.clustering=NULL,
silhouette=TRUE,G2=FALSE,G3=FALSE)
1) the distance object (d) is an object obtained by the function dist() on
my own
Try
colscaledivs=100#colscaledivs=15 here is the R default
levelplot(z ~ x * y, g,xlab=x co-ordinate,ylab=y
co-ordinate,colorkey=TRUE,at=seq(from=-0.01,to=0.25,length=colscaledivs),col.regions=(col=gray((0:colscaledivs)/colscaledivs)))
Toby Marthews
Le Ven 13 juin 2008 18:50,
Hi,
my data set is data.frame(id, yr, y, l, e, k).
I would like to estimate Lee and Schmidts (1993, OUP) model in R.
My colleague wrote SAS code as follows:
** procedures for creating dummy variables are omitted **
** di# and dt# are dummy variables for industry and time **
data a2; merge a1
Bluder Olivia olivia.bluder at k-ai.at writes:
Hello,
I'm trying to calculate the Maximum likelihood estimators for a dataset
which contains censored data.
I started by using the function nlm, but isn't there a separate method
for doing this for e.g. the weibull and the log-normal
Hi,
I'm trying to understand why the coefficients a and b for the model: W =
a*L^b estimated
via nls() differs from those obtained for the log transformed model: log(W) =
log(a) + b*log(L)
estimated via lm(). Also, if I didn't make a mistake, R-squared suggests a
better adjustment
for the
Dear Laura,
Dear list,
I just tried to use the function cluster.stat in the package fpc.
I just have a couple of questions about the syntax:
cluster.stats(d,clustering,alt.clustering=NULL,
silhouette=TRUE,G2=FALSE,G3=FALSE)
1) the distance object (d) is an object obtained by the function
M.Data2 - data.frame(M.Data, colsplit(M.Data$variable, split = \\., names
= c(treatment, time)))
which gave:
head(M.Data2)
pid variable value treatment time
1 1predA-1 predA predA
2 2predA-2 predA predA
3 3predA-1 predA predA
4 4predA
Héctor Villalobos wrote:
Hi,
I'm trying to understand why the coefficients a and b for the model: W =
a*L^b estimated
via nls() differs from those obtained for the log transformed model: log(W) =
log(a) + b*log(L)
estimated via lm(). Also, if I didn't make a mistake, R-squared suggests a
Le ven. 13 juin à 13:55, Ben Bolker a écrit :
Bluder Olivia olivia.bluder at k-ai.at writes:
Hello,
I'm trying to calculate the Maximum likelihood estimators for a
dataset
which contains censored data.
I started by using the function nlm, but isn't there a separate
method
for doing
Janne Huttunen wrote:
Héctor Villalobos wrote:
Hi,
I'm trying to understand why the coefficients a and b for the
model: W = a*L^b estimated
via nls() differs from those obtained for the log transformed model:
log(W) = log(a) + b*log(L)
estimated via lm(). Also, if I didn't make a mistake,
I have data that looks like
lake,loglength,logweight
1,2.369215857,1.929418926
1,2.426511261,2.230448921
1,2.434568904,2.298853076
1,2.437750563,2.298853076
1,2.442479769,2.230448921
1,2.445604203,2.356025857
...
102,2.722633923,3.310268367
102,2.781755375,3.502153893
102,2.836324116,3.683407299
Thanks Hadley, with your help I'm getting things figured out.
On Jun 13, 2008, at 2:09 PM, hadley wickham wrote:
M.Data2 - data.frame(M.Data, colsplit(M.Data$variable, split = \
\., names
= c(treatment, time)))
which gave:
head(M.Data2)
pid variable value treatment time
1 1predA-1
Hello,
Look at package quantreg.
Philippe Grosjean
Ranney, Steven wrote:
I have data that looks like
lake,loglength,logweight
1,2.369215857,1.929418926
1,2.426511261,2.230448921
1,2.434568904,2.298853076
1,2.437750563,2.298853076
1,2.442479769,2.230448921
1,2.445604203,2.356025857
...
Thanks for your help. Worked great.
SR
Steven H. Ranney
Graduate Research Assistant (Ph.D)
USGS Montana Cooperative Fishery Research Unit
Montana State University
PO Box 173460
Bozeman, MT 59717-3460
phone: (406) 994-6643
fax: (406) 994-7479
[[alternative HTML version deleted]]
Right, there is no time associated with this variable. So I tried again,
treating it as an id:
M.Data - melt(Data, id = c(pid, predA))
From here I was able to achieve the desired result, as follows:
M.Data - data.frame(M.Data, colsplit(M.Data$variable, split = \\.,
names=c(measure,
On Fri, Jun 13, 2008 at 11:45 AM, jim holtman [EMAIL PROTECTED] wrote:
What is the structure of 'd.frame' and 'segFile'? Run Rprof so that
we can see which of the functions it is spending its time in. What
happens if x$index is not in seqFile$index? Are the values in the
'index' unique in
I'd like to stretch a plotted character vertically, to create a
sequence logo.
Is there a parameter to allow stretching text() output vertically or
squeeze horizontally?
I know about Oliver Bembom's seqLogo library, but this generates a
sequence logo plot using a separate bitmap device. I
All,
I have a data file with 56 entries that looks like this:
City State JanTemp Lat Long
Mobile, AL 44 31.288.5
Montgomery, AL 38 32.986.8
Phoenix, AZ 35 33.6112.5
Little Rock, AR 31 35.492.8
Los Angeles, CA 47 34.3118.7
San
R Fans--
I am having problems with the following code. It worked under R 2.6.0 but not
in 2.7.0.
library(Epi)
df - read.table( c:/Documents and Settings/Troy S/My
Documents/debug_chisq_080613b.txt)
summary(df)
cvd agecat
Min. :0. (0,40] :1
1st Qu.:0.
Assuming that the only problem is the blank in the city names, here is
one way of doing it:
inFile - textConnection(City State JanTemp Lat Long
+ Mobile, AL 44 31.288.5
+ Montgomery, AL 38 32.986.8
+ Phoenix, AZ 35 33.6112.5
+ Little Rock, AR 31
Hi, I would like to rbind 2 data frames. They both some common column names,
but also some unique column names each, is there any simple function that rbind
these 2 data frames with filling NAs for those columns of unique names?
thanks
__
Dear all,
I have a data frame of dimension 720 columns by 360 rows, to which I am trying
to add numerical row and column labels to, using the 'sequence' command. The
original data, which I read in using 'read.table', had no such labels at all.
I've got as far as successfully using the
Many thanks, works great!
Charilaos Skiadas-3 wrote:
Try this:
lapply( 1:2, function(i) lm( y~x, data=list(x=xdat[,i], y=ydat[,i]) ) )
Haris Skiadas
--
View this message in context:
http://www.nabble.com/Using-lm-with-a-matrix--tp17708207p17829661.html
Sent from the R help mailing
I am confuse by the results of the weights option for coxph. I
replicated each row three times from the help page for coxph in the
data frame test_freq. I had expected that the coefficients,
significance tests, and tests of non-proportionality would yield the
same results for the replicated and
Hello all--
I'm attempting to produce overlaid histograms with partially transparent
columns. Whether this display will end up being useful, I can't say.
But I do want to get it right.
I've already got one solution (shown below), but I tried some other
versions and had questions about my
I tried to use LME (on a fairly large dataset, so I am not including it), and I
got this error message:
Error in lme.formula(formula(paste(c(toString(TargetName),
as.factor(nodeInd)), :
nlminb problem, convergence error code = 1
message = false convergence (8)
Is there any way to get
I have a dataframe, x, with over 60,000 rows that contains one Factor, id,
with 27 levels.
The dataframe contains numerous continuous values (along column diff) per
day (column date) for every level of id. I would like to select only one
row per animal per day, i.e. that containing the minimum
on 06/13/2008 11:10 PM T.D.Rudolph wrote:
I have a dataframe, x, with over 60,000 rows that contains one Factor, id,
with 27 levels.
The dataframe contains numerous continuous values (along column diff) per
day (column date) for every level of id. I would like to select only one
row per
Thanks Chuck, 'rle' was just what I needed.
G
-Original Message-
From: Charles C. Berry [mailto:[EMAIL PROTECTED]
Sent: Saturday, 14 June 2008 02:00
To: Warren, Garth (CSE, Gungahlin)
Cc: r-help@r-project.org
Subject: Re: [R] Looping, Control Flow Conditional Statements
See
Three questions:
1a) Why does the following code not produce transparent bars?
Because you're setting the fill colour (not mapping it to a variable
in your dataset), the fill needs to be outside of aes()
g +
geom_histogram(aes(x=log(BNCw)), fill = alpha(red, .5)) +
aggregate() is indeed a useful function in this case, but it only returns the
columns by which it was grouped. Is there a way I can use this while
simultaneously retaining all the other column values in the dataframe?
e.g. add superfluous (yet pertinent for later) column containing any
Hi all,
Does anyone have a version of strsplit that keeps the string that is
split by. e.g. from
x - A: 123 B: 456 C: 678
I'd like to get
c(A:, 123 , B: , 456 , C: , 678)
but
strsplit(x, [A-Z]+:)
gives me
c(, 123 , 456 , 678)
Any ideas?
Thanks,
Hadley
--
http://had.co.nz/
Hi array (?),
Hi, I would like to rbind 2 data frames. They both some common column names,
but also some unique column names each, is there any simple function that rbind
these 2 data frames with filling NAs for those columns of unique names?
You can use the reshape package by Hadley
On Jun 14, 2008, at 1:25 AM, T.D.Rudolph wrote:
aggregate() is indeed a useful function in this case, but it only
returns the
columns by which it was grouped. Is there a way I can use this while
simultaneously retaining all the other column values in the dataframe?
e.g. add superfluous
Try this:
library(gsubfn)
x - A: 123 B: 456 C: 678
strapply(x, [^ :]+[ :]|[^ :]+$)
[[1]]
[1] A: 123 B: 456 C: 678
and check out the gsubfn home page at:
http://gsubfn.googlecode.com
On Sat, Jun 14, 2008 at 1:35 AM, hadley wickham [EMAIL PROTECTED] wrote:
Hi all,
Does anyone have
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