See the 'start' argument to glm(). (You have not told us what most of
the words in your subject line mean, and I've guessed that c(alpha,
beta) are the coefficients in the linear predictor.)
On Thu, 2 Dec 2010, Rosario Garcia Gil wrote:
Hello
I am trying to fit a model using glm function w
try this ..
df[,colnames(df)==paste("A","C",sep="")]
On Fri, Dec 3, 2010 at 12:05 PM, Yuan Jian wrote:
> Hello,
>
> I tried to use a variable to refer colname, but I got error, could anyone
> give me advice?
>
>>df=data.frame(cbind(AB=1:3,AC=3:5))
>> df$AC
> [1] 3 4 5
>> df$paste("A","C",sep=""
Hello,
I tried to use a variable to refer colname, but I got error, could anyone give
me advice?
>df=data.frame(cbind(AB=1:3,AC=3:5))
> df$AC
[1] 3 4 5
> df$paste("A","C",sep="")
Error: attempt to apply non-function
thanks
Jian
[[alternative HTML version deleted]]
Hello,
Your question is more appropriate on the R-devel mailing list.
Le 03/12/10 00:41, Oleksandr Dyklevych a écrit :
Dear sir\madam!
I'm trying to speed up my R code by writing quite simple dll's in C. But
I faced some problems, and I cannot determine their source.
#include
SEXP mycombi
Hello randomcz,
Thank you for your interrest in Rcpp. Rcpp has its own mailing list.
http://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel
Please subscribe and report your question there. People will be happy to
help you.
Romain
Le 03/12/10 03:57, randomcz a écrit :
Hi,
I
On Thu, 2 Dec 2010 23:34:02 -0500
David Winsemius wrote:
> [...] Erik is telling you that your use of ncol<-4 got evaluated to
> 4 and that the name of the resulting object was ignored, howevert the
> value of the operation was passed on to matrix which used positional
> matching since "=" was no
Hi,
I am a newbie to Rcpp packages, and got problems in having basic set-ups for
Rcpp under windows xp. Here is the list I have done.
1) installed Rtools and have no problem in compiling .c file.
2) installed Rcpp packages
3) set enviroment variables 'path' to make C:\Program
Files\R\R-2.12.0\
What about this?
Remove the periods and change the "," to a ".":
s <- "12.084.547,17"
x <- as.numeric(gsub(',','\\.', gsub('\\.','',s)))
options(digits=10)
x
Escaping periods is not-so-obvious.
efg
Earl F Glynn
Overland Park, KS
Luis Felipe Parra wrote:
Hello I have a sting of the form "12
On Dec 2, 2010, at 10:47 PM, Erik Iverson wrote:
On 12/02/2010 09:35 PM, Jinsong Zhao wrote:
Hi there,
In function, it's usually using ``='' to assign default value for
function
argument. For newbie, it's possible to using ``<- '' to assign
value for
function argument. Although it's not a
On Dec 2, 2010, at 10:46 PM, Luis Felipe Parra wrote:
Hello I have a sting of the form "12.084.547,17" which I would like
R to
understand as a number which has "," as the decimal separator, does
anybody
know how to do this?
If that is in a file then read.csv2 is the answer.
If it is in a
Hi Thomas,
If "x" contains your current results, one way to do what you want is the
following:
# data
x <- read.table(textConnection("X2403,0.006049271
X2403,0.000118622
X2403,50.99600705
X2403,7.62E-150
X2419,0.012464215
X2419,9.07E-05
X2419,137.4022573
X2419,6.45E-273"), sep = ",")
closeAllConn
From: Thomas Parr [mailto:thomas.p...@maine.edu]
Sent: Thursday, December 02, 2010 10:52 PM
To: r-help-requ...@stat.math.ethz.ch
Subject: Writing to a file
I am trying to get my script to write to a file from the for loop. It is
"working", but the problem is at it is outputting to two columns an
Hello I have a sting of the form "12.084.547,17" which I would like R to
understand as a number which has "," as the decimal separator, does anybody
know how to do this?
thank you
Felipe Parra
[[alternative HTML version deleted]]
__
R-help@r-p
On Dec 2, 2010, at 9:33 PM, Duncan Murdoch wrote:
On 02/12/2010 9:18 PM, David Winsemius wrote:
On Dec 2, 2010, at 8:33 PM, Duncan Murdoch wrote:
snipped
I think the fill=TRUE option arrived about 10 years ago, in R 1.2.0.
The comment in the NEWS file suggests it was in response to some
st
On 12/02/2010 09:35 PM, Jinsong Zhao wrote:
Hi there,
In function, it's usually using ``='' to assign default value for function
argument. For newbie, it's possible to using ``<- '' to assign value for
function argument. Although it's not a correct way, R don't give any warning
message.
> matr
Hi there,
In function, it's usually using ``='' to assign default value for
function argument. For newbie, it's possible to using ``<- '' to assign
value for function argument. Although it's not a correct way, R don't
give any warning message.
> matrix(1:20, ncol <- 4)
[,1] [,2] [,3] [,
On 3/12/2010, at 3:48 PM, David Scott wrote:
> On 03/12/10 14:33, Duncan Murdoch wrote:
>> I think the fill=TRUE option arrived about 10 years ago, in R 1.2.0.
>> The comment in the NEWS file suggests it was in response to some strange
>> csv file coming out of Excel.
>>
>> The real
On 03/12/10 14:33, Duncan Murdoch wrote:
On 02/12/2010 8:04 PM, Peter Ehlers wrote:
On 2010-12-02 16:26, Rolf Turner wrote:
On 3/12/2010, at 1:08 PM, Phil Spector wrote:
Rolf -
I'd suggest using
junk<- read.csv("junk.csv",header=TRUE,fill=FALSE)
if you don't want the behaviour
On 02/12/2010 9:18 PM, David Winsemius wrote:
On Dec 2, 2010, at 8:33 PM, Duncan Murdoch wrote:
snipped
I think the fill=TRUE option arrived about 10 years ago, in R 1.2.0.
The comment in the NEWS file suggests it was in response to some
strange csv file coming out of Excel.
The real problem
On Dec 2, 2010, at 8:33 PM, Duncan Murdoch wrote:
snipped
I think the fill=TRUE option arrived about 10 years ago, in R 1.2.0.
The comment in the NEWS file suggests it was in response to some
strange csv file coming out of Excel.
The real problem with the CSV format is that there really
Nice, but I'm still finding the same bug when communicating between R and
Tinn-R:
source(.trPaths[5], echo=TRUE, max.deparse.length=150)
So I still have to use the last version of Tinn-R which doesn't have that
problem (Tinn-R 1.19.4.7).
Emili
2010/11/22 Jose Claudio Faria
> Dears users,
>
>
Dear sir\madam!
I'm trying to speed up my R code by writing quite simple dll's in C. But I
faced some problems, and I cannot determine their source.
#include
SEXP mycombin(SEXP N, SEXP k){
int i, *j, *l, c;
j = INTEGER(k);l = INTEGER(N);
c = 1;
if(j[0] > 0 && j[0] < l[0]){
Dear R experts,
I'm trying to download a .csv file with daily data on the companies through
a javascript url ending in .jsp of the following form:
http://... .com/.../.../filename.jsp?y=2004&m=3&d=9
where y = year, m = month and d=day. Accessing the link gives you the .csv
for that date. I wa
On 3/12/2010, at 2:04 PM, Peter Ehlers wrote:
> Rolf,
> This is not to argue with your point re counter-intuitive,
> but I always run a count.fields() first if I haven't seen
> (or can't easily see) the file in my editor. I must have
> learned that the hard way a long time ago.
Sound
On 02/12/2010 8:04 PM, Peter Ehlers wrote:
On 2010-12-02 16:26, Rolf Turner wrote:
On 3/12/2010, at 1:08 PM, Phil Spector wrote:
Rolf -
I'd suggest using
junk<- read.csv("junk.csv",header=TRUE,fill=FALSE)
if you don't want the behaviour you're seeing.
The point is not that I d
On 2010-12-02 16:26, Rolf Turner wrote:
On 3/12/2010, at 1:08 PM, Phil Spector wrote:
Rolf -
I'd suggest using
junk<- read.csv("junk.csv",header=TRUE,fill=FALSE)
if you don't want the behaviour you're seeing.
The point is not that I don't want this kind of behaviour.
The point is
On 3/12/2010, at 1:08 PM, Phil Spector wrote:
> Rolf -
>I'd suggest using
>
> junk <- read.csv("junk.csv",header=TRUE,fill=FALSE)
>
> if you don't want the behaviour you're seeing.
The point is not that I don't want this kind of behaviour.
The point is that it seems to me to be unexpe
Hello, all,
I have a fairly complicated experimental design and would really appreciate
some help on correctly specifying my random effects. I have a CRD split plot
design with one covariate measured on the whole plot unit, one on the subplot
unit and 2 other covariates measured on the subsam
Rolf -
I'd suggest using
junk <- read.csv("junk.csv",header=TRUE,fill=FALSE)
if you don't want the behaviour you're seeing.
- Phil Spector
Statistical Computing Facility
I have recently been bitten by an aspect of the behaviour of
the read.csv() function.
Some lines in a (fairly large) *.csv file that I read in had
too many entries. I would have hoped that this would cause
read.csv() to throw an error, or at least issue a warning,
but it read the file without co
Hello all,
I've been comparing results from kmeans() in R to PROC FASTCLUS in SAS and
I'm getting drastically different results with a real life data set. Even
with a simulated data set starting with the same seeds with very well
seperated clusters the resulting cluster means are still different.
On Thu, Dec 02, 2010 at 06:23:45PM -0500, Ravi Varadhan wrote:
> A simple solution is to locate the mode of the integrand, which should be
> quite easy to do, and then do a coordinate shift to that point and then
> integrate the mean-shifted integrand using `integrate'.
>
> Ravi.
Translation: t
On Thu, Dec 02, 2010 at 01:13:40PM -0800, Aaron Polhamus wrote:
...
> Many thanks for the tips, those solved my queries. Still interested in how
> to force custom functions to work over rows rather than columns when using
> apply,
In the command
TMAT <- apply(MAT, 1, function(X) X/sum(X))
the cu
Albyn's reply is in line with an hypothesis I was beginning to
formulate (without looking at the underlying FoRTRAN code),
prompted by the hint in '?integrate':
Details:
If one or both limits are infinite, the infinite range
is mapped onto a finite interval.
For a finite interval,
But that only postpones the misery, Hans Werner! You can always make the
mean large enough to get a wrong answer from `integrate'.
integrate(function(x) dnorm(x, 700,50), -Inf, Inf,
subdivisions=500, rel.tol=1e-11)
integrate(function(x) dnorm(x, -700,50), -Inf, Inf,
I believe the R intro manual and R-inferno have some pretty stern
warnings about never using 'c' or 't' as variable names, for obvious
reasons.
Similarly, I nearly crushed some code once by writing a nice little
function to find the mode of a data set and calling the function
"mode()" . (co
You can use trace() to see what is happening
> trace(dnorm, quote(print(round(x
> integrate(function(x) dnorm(x, 500,50), -Inf, Inf)
Tracing dnorm(x, 500, 50) on entry
[1] 1 233 0 38 0 14 0 7 0 4 0 2 0 2 1
Tracing dnorm(x, 500, 50) on entry
[1] -1 -2330 -38
Hello
I am trying to fit a model using glm function with family=Gamma(link="inverse").
Is it possible to give initial values, and how? I tried to search for info but
not managed to get any answer.
Kind regards and thanks in advance.
Rosario
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___
To really understaand it you will have to look at the fortran code
underlying integrate. I tracked it back through a couple of layers
(dqagi, dqagie, ... just use google, these are old netlib
subroutines) then decided I ought to get back to grading papers :-)
It looks like the integral is split
Michael,
I think this is what you are looking for.
Rich
library(Hmisc)
tmp <- array(rnorm(60), c(3,4,5),
list(letters[1:3],LETTERS[4:7],letters[8:12]))
## latex(tmp)
ftable(tmp)
dviname <- latex(ftable(tmp))
ft <- ftable(tmp)
dviname <- latex(ft,
colheads=attr(ft,"col.vars")[[1
You can dive into the thread "puzzle with integrate over infinite range"
from September this year. The short answer appears to be: Increase the
error tolerance.
integrate(function(x) dnorm(x, 500,50), -Inf, Inf,
subdivisions=500, rel.tol=1e-11)
# 1 with absolute error < 1.1e
Comments in-line below
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of Lilith
> Sent: December-02-10 9:39 AM
> To: r-help@r-project.org
> Subject: [R] Tukey Test, lme, error: less than two groups
>
>
> Dear R-group,
>
> I a
Ivan and Michael,
Many thanks for the tips, those solved my queries. Still interested in how
to force custom functions to work over rows rather than columns when using
apply, but the MAT/rowSums(MAT) technique is definitely the most efficient
way to go for this application.
Cheers,
Aaron
2010/12
Try looking at subset()... I typically use this when I'm trying to isolate
specific cases from a data frame.
Also, Dalgaard's introductory R book has some great examples for parsing
data in the manner you're attempting you might want to look at that.
Mike
On Thu, Dec 2, 2010 at 2:08 PM, Dioge
Hi Diogenas,
Try this,
data<-subset(poli, poli$year>1994)
Best,
M
Diogenas a écrit :
Hello,
I understand that question is probably stupid, but ...
I have data (polity IV index)
"country","year","democ","autoc","polity","polity2"
"1","Afghanistan ",1800,1,7,-6,-6
"2","Afghanista
On 12/2/2010 4:04 PM, David Winsemius wrote:
?latex # yes I know you are aware of this but it seemed as though you
hadn't read its help page.
# Attached is the output on my device from the following command:
latexVerbatim( ftable(UCB))
Perhaps I should have been more explicit. I can always
Hello everybody,
I've got a bit of a problem with parLapply that's left me scratching my head
today. I've tried this in R 2.11 and the 23 bit Revolution R Enterprise and
gotten the same result, OS in question is Windows XP, the package involved
is the snow package.
I've got a list of 20 rain/no
Adaikalavan Ramasamy wrote:
> Using the info from that website, I can code up the following to give
> the two-tailed p-value of difference in correlations:
>
> diff.corr <- function( r1, n1, r2, n2 ){
> ...
William Revelle also mentioned the r.test in the psych package.
I would add here that
On Dec 2, 2010, at 4:18 PM, Ali S wrote:
How do I get MANOVA results with Type III sums of squares?
First pull on your asbestos underwear, then visit :
http://search.r-project.org/cgi-bin/namazu.cgi?query=type+III+SS&max=100&result=normal&sort=score&idxname=functions&idxname=Rhelp08&idxname
The integral of any probability density from -Inf to Inf should equal 1,
correct? I don't understand last result below.
> integrate(function(x) dnorm(x, 0,1), -Inf, Inf)
1 with absolute error < 9.4e-05
> integrate(function(x) dnorm(x, 100,10), -Inf, Inf)
1 with absolute error < 0.00012
> integr
How do I get MANOVA results with Type III sums of squares?
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/p
rms and fit.mult.impute don't necessarily play well with mice.
Note also that you will need a special adjustment for variances for having
done stepwise regression. One approach is to insert a zero for a
coefficient every time that variable is not 'selected', then compute the
sample variance of t
Simplified version of str(poli): (real dataset includes 36 variables)
$ country : chr [1:15846] "Afghanistan " "Afghanistan
" "Afghanistan " "Afghanistan " ...
$ year: num [1:15846] 1800 1801 1802 1803 1804 ...
$ democ : num [1:15846] 1 1 1
On Dec 2, 2010, at 3:47 PM, Michael Friendly wrote:
I'm looking for an R method to produce latex versions of tables for
table/array objects of 3 or more dimensions,
which, of necessity is flattened to a 2D display, for example with
ftable(), or vcd::structable, as shown below.
I'd be happy
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of Diogenas
> Sent: Thursday, December 02, 2010 12:09 PM
> To: r-help@r-project.org
> Subject: [R] Filter data
>
>
> Hello,
> I understand that question is probably stupid, but ...
I'm looking for an R method to produce latex versions of tables for
table/array objects of 3 or more dimensions,
which, of necessity is flattened to a 2D display, for example with
ftable(), or vcd::structable, as shown below.
I'd be happy to settle for a flexible solution for the 3D case.
> UCB
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Hello,
I understand that question is probably stupid, but ...
I have data (polity IV index)
"country","year","democ","autoc","polity","polity2"
"1","Afghanistan ",1800,1,7,-6,-6
"2","Afghanistan ",1801,1,7,-6,-6
"3","Afghanistan ",1802,1,7,-6,-6
I need to crea
Greetings to all --
I have a set of ~1300 radon measurements from homes across British
Columbia in Canada. We have split these measurements into five groups
according the the tectonic belt in which they fall, with N ranging
from ~160 to ~600 measurements per group. The values are roughly
log-nor
Dear WanderingWizard,
On 12/02/2010 07:58 PM, WanderingWizard wrote:
Is it possible to use Eclipse (StatET) to connect to an rterm instance
running on another computer?
Yes. You can launch, disconnect and reconnect to a remote R console.
It looks like it should be easy, but when I
select an
Is it possible to use Eclipse (StatET) to connect to an rterm instance
running on another computer? It looks like it should be easy, but when I
select an R Engine it says "Connection failed to: hostname" everytime. Is
there a guide somewhere?
--
View this message in context:
http://r.789695.n
There are many possibilities depending on what you are really looking for
(strict increasing, vs. increasing or constant, vs. general trend, etc.)
I would start with a plot of the data, that may result in a significant
interocular concussion test and will at least help you understand what is
ha
Dear R-group,
I am trying desperately to get this Tukey test working. Its my first time
here so I hope my question is not too stupid, but I couldn't find anything
helpful in the help or in the forum.
I am analysing a dataset of treated grasses. I want to find out, if the
grasses from different P
Hello list,
I seem to have a problem with the openNLP package, I'm actually stuck in
the very beginning. Here's what I did:
> install.packages("openNLP")
> install.packages("openNLPmodels.de", repos =
"http://datacube.wu.ac.at/";, type = "source")
> library(openNLPmodels.de)
> library(openNL
Hello,
I'm attempting to create a data frame with correlations between every pair
of variables in a data frame, so that I can then sort by the value of the
correlation coefficient and see which pairs of variables are most strongly
correlated.
The sm2vec function in the corpcor library works very
Dear R-group,
I am trying desperately to get this Tukey test working. Its my first time here
so I hope my question is not too stupid, but I couldn't find anything helpful
in the help or in the forum.
I am analysing a dataset of treated grasses. I want to find out, if the grasses
from different
Here is a use of color to show what the path is and following up on
Patrick's post to make the code a little more efficient:
# compute path
n <- 1
rw <- matrix(0, ncol = 2, nrow = n)
# generate the indices to set the deltas
indx <- cbind(seq(n), sample(c(1, 2), n, TRUE))
# now set the values
Hi, Thanks very much for your response.
Unfortunately, using the set.seed() call does not seem to solve my problem.
If I do not use set.seed(), I do indeed get some small differences in
protest() results due to the effect of random starts. But with my sites in a
given order in the input files, and
Cheers Bill,
Thank you for the clarificaiton. Prabably showing the str() of these
objects would have made it easier for you see exatly where i was going
wrong. Which as David pointed out, was really a lack of ?merge reading...:)
Karl
On 12/2/2010 5:46 PM, William Dunlap wrote:
I didn't cha
Try this:
with(DF, rowsum(quantity, identifier))
On Thu, Dec 2, 2010 at 2:24 PM, chris99 wrote:
>
> I am trying to aggregate data in column 2 to identifiers in col 1
>
> eg..
>
> take this>
>
> identifier quantity
> 1 10
> 1 20
> 2
Nice thing about R is there are a number of ways to do things:
> x
identifier quantity
1 1 10
2 1 20
3 2 30
4 1 15
5 2 10
6 3 20
> require(sqldf)
> sqldf('select identifier, sum(quantity) as quantity from x
Hopefully someone has a good suggestion
for your question. I'd just like to
point out that the generation of the
random walk is pretty much optimized for
worst performance.
A 'for' loop is not necessary and growing
the objects could be a very significant
drag. See Circles 2 and 3 of 'The R Infe
Here are some examples with tapply, aggregate, ddply:
x <- read.table("clipboard", head=TRUE)
with(x, tapply(quantity, identifier, sum))
aggregate(x$quantity, by=list(x$identifier), sum)
aggregate(quantity ~ identifier, data = x, sum)
library(plyr)
ddply(x, .(identifier), summarise, quantity=
see also tapply()
e.g.
a<-c(1,1,1,2,2,2,3,3,3)
b<-c(10,10,10,15,15,15,20,20,20)
c.dat<-data.frame(a,b)
tapply(c.dat[,2],c.dat[,1],sum)
Mike
On Thu, Dec 2, 2010 at 10:33 AM, Ivan Calandra wrote:
> see ?aggregate, and ?summaryBy (in package doBy)
> I think ddply (in package plyr) could also do
I didn't change your "rownames" to "row.names"
because I figured you had the name you wanted
but only forgot to include the quotes. Both "rownames"
and "row.names" are valid inputs, but they mean
different things. Howver, without the quotes you were
passing in the contents of the object called
ro
see ?aggregate, and ?summaryBy (in package doBy)
I think ddply (in package plyr) could also do the job
Ivan
Le 12/2/2010 17:24, chris99 a écrit :
I am trying to aggregate data in column 2 to identifiers in col 1
eg..
take this>
identifier quantity
1 10
1
I can say is used as filter Kalman
thanks
Cordialmente,
JAVIER SANTIAGO PARRA RAMOS
INGENIERO DE SISTEMAS
ESP. EN GERENCIA DE SISTEMAS INFORMATICOS
CEL: (57) 313 416 71 21
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___
I've wrote some code to simulate a random walk in 2 dimensions on a lattice.
Basically I want to add something in to make it plot it point by point so
you can see what is going on.
Heres my code for the random walk in 2d
RW2D<-function(N)
{
i<-0
xdir<-0
ydir<-0
xpos<-vector()
On Dec 2, 2010, at 11:10 AM, David Lyon wrote:
Thanks David
Do you have the url link that details the worked solution to my
problem:
"that we have an extensive collection of documentation suitable for
beginners that probably has similar problems worked out:"
http://cran.r-project.org/o
I am trying to aggregate data in column 2 to identifiers in col 1
eg..
take this>
identifier quantity
1 10
1 20
2 30
1 15
2 10
3 20
and make this>
identifier q
On 12/2/2010 3:52 PM, David Winsemius wrote:
On Dec 2, 2010, at 5:58 AM, Karl Brand wrote:
On 12/2/2010 11:36 AM, David Winsemius wrote:
On Dec 2, 2010, at 5:22 AM, Karl Brand wrote:
Cheers Bill.
Inserting earlier debris:
I don't understand why i get this error message when attem
Thanks David
Do you have the url link that details the worked solution to my problem:
"that we have an extensive collection of documentation suitable for beginners
that probably has similar problems worked out:"
If not can someone show me how to
" How do I import the file, then plot the mean a
Hi
r-help-boun...@r-project.org napsal dne 02.12.2010 16:36:09:
> Hi everyone
>
> I spent hours trying to figure this out but as a newbie I am stuck...
> can someone show me the R code for the following:
>
> If I had a tab delimited file called "file", containing 3 rows :
> 9.56 8.67 9.28
On Dec 2, 2010, at 10:36 AM, David Lyon wrote:
Hi everyone
I spent hours trying to figure this out but as a newbie I am stuck...
can someone show me the R code for the following:
If I had a tab delimited file called "file",
Are you sure that you are not on an OS that hides the file
exten
Hi,
I have a dataframe like this:
procedure propertysensor_data sensor_date
| | | |
[1,] "PAT_Laser_2" "Distance" "30.42" "2010-09-30T15:00:12+0200"
[2,] "PAT_Laser_2" "Distance" "31.22" "2010-10
Hello
I am trying to fit a model using glm function with family=Gamma(link="inverse").
Is it possible to give initial values, and how? I tried to search for info but
not managed to get any answer.
Kind regards and thanks in advance.
Rosario
[[alternative HTML version deleted]]
___
Hi,
I typically install new versions of R on windows using the downloadable
executable file rather than the full tar.
I need to now document the success of the installation in addition to my
preferred procedure of running an old dataset against the new build.
I found quickly that this is all av
Dear Ingmar,
Thanks a lot.
Regards,
Kishor
On Thu, Dec 2, 2010 at 6:39 PM, Ingmar Visser wrote:
> depmixS4 enables linear constraints on parameters, best, Ingmar
>
> On Thu, Dec 2, 2010 at 12:01 PM, Kishor Tappita
> wrote:
>>
>> Dear List,
>>
>> We are using RHmm to cluster data through HMM. W
Hi everyone
I spent hours trying to figure this out but as a newbie I am stuck...
can someone show me the R code for the following:
If I had a tab delimited file called "file", containing 3 rows :
9.568.679.288.817.939.858.9210.19 8.63
6.367.296.687.
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On Dec 2, 2010, at 5:58 AM, Karl Brand wrote:
On 12/2/2010 11:36 AM, David Winsemius wrote:
On Dec 2, 2010, at 5:22 AM, Karl Brand wrote:
Cheers Bill.
Inserting earlier debris:
I don't understand why i get this error message when attempting to
use merge() -
> temp <- merge(x, y[,
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On Dec 2, 2010, at 8:15 AM, Wegan, Michael (DNRE) wrote:
> I would like to call both p-values and R-squared values from lm's in a
> function. I can get the p-values from coef(summary(name.lm))[r,c], however,
> I cannot figure out how to call the R-squared values without manually calling
> the
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