Howdy, R Grues
I have enjoyed R, but I cannot solve one problem easily. Please help my problem.
When I tried the R script, I got the following Error. This error
results from input data file exported through a Excel spreadsheet
software.
Error in step(lm(pop.rate ~ as.numeric(year) +
Dear R-help list,
I have grouped data, looking like this:
cases - c(23,12,56,81)
total - c(123,234,248,390)
x1 - c(0,0,1,1)
x2 - c(0,1,0,1)
Data - as.data.frame(cbind(cases,total,x1,x2))
Data
I would like to run a logistic regression with group weights on these,
where cases and
I apologize for not including my entire script. What I typed into the shell
was:
*download.packages(ape)*
to which R responded with a Tcl/Tk interface allowing me to set my CRAN.
After I did so it proceeded to spit out the following error:
*Loading Tcl/Tk interface ... done*
Error in
one approach is:
Data.long - with(Data, data.frame(
w = c(rbind(total - cases, cases)),
y = rep(0:1, nrow(Data)),
x1 = rep(x1, each = 2),
x2 = rep(x2, each = 2)
))
I hope it helps.
Best,
Dimitris
Myrland Øystein wrote:
Dear R-help list,
I have grouped data, looking
Gabor Grothendieck wrote:
On Mon, Feb 15, 2010 at 11:24 AM, David Winsemius
dwinsem...@comcast.net wrote:
On Feb 15, 2010, at 11:01 AM, hadley wickham wrote:
I, personally, utilize the ifelse(test,statement,statement) function when
possible over the methodology outlined.
if + else and
Hello
I am very thankful for the reply from Jim Holtman and David Winsemius,
especially for the understandable explanations. it really works.
Now I get another problem I cannot figure out.
That is the situation:
I work in biology. I need to download several files according to an experiment,
I never had seen spline() inside some nls()/nlme() function. Are you sure
that this fit is possible? Splines makes a lot or successive local
polynomial fits, so they need a lot of parameters. I don't think that is
possible a good spline fit with only four parameters. In this case you could
use
Dear R users,
I am having problems using package lme4.
I am trying to analyse the effect of a continuous variable (Dist_NV)
on a count data response variable (SR_SUN) using Poisson error
distribution. However, when I run the model:
summary(lmer((SR_SUN)~Dist_NV + (1|factor(Farm_code)) ,
Hi there,
I'm a PhD student investigating growth patterns in fish. I've been using the
minpack.lm package to fit extended von Bertalanffy growth models that include
explanatory covariates (temperature and density). I found the nls.lm comand a
powerful tool to fit models with a lot of
Hi Kum,
If you look at the code step function ( by typing step in the R
console), the condition (if (length(fit$residuals) != n) ) is not
fulfilled, this explains the error!
i hope this can help
Regards
M
Kum-Hoe Hwang a écrit :
Howdy, R Grues
I have enjoyed R, but I cannot solve one
Dear all,
I am using penalized package for Ridge regression. I do
not know how can I get regression coefficients using that package . Please
help me.
Thanks
--
Linda Garcia
[[alternative HTML version deleted]]
__
Alex Levitchi wrote:
Hello
I am very thankful for the reply from Jim Holtman and David Winsemius, especially for the understandable explanations. it really works.
Now I get another problem I cannot figure out.
That is the situation:
I work in biology. I need to download several files
On 2010-02-16 1:24, Kum-Hoe Hwang wrote:
Howdy, R Grues
I have enjoyed R, but I cannot solve one problem easily. Please help my problem.
When I tried the R script, I got the following Error. This error
results from input data file exported through a Excel spreadsheet
software.
Error in
vaibhav dua wrote:
Hi,
I'm trying to fit nonlinear mixed effects model using nlme function but
getting an error message. Here is what I have:
fitted_model = nlme(scores~spline(b1,b2,b3,kt,time),
fixed = list(b1~1, b2~1, b3~1, kt~1),
random = b1+b2+b3~1,
Trafim Vanishek posted a similar problem: Joint density approximation?
(without any solution for kde2d). Here is an example to illustrate my
problem.
Originally data is for example:
a=runif(10) (yes, the number of data should be larger)
b=runif(10)
c=kde2d(a,b,n=10,lims=c(0,1,0,1))
attach(c)
Hi,
We are currently using the odbcConnect and odbcDriverConnect functions of
RODBC package to connect to a DB built on SQL Server 2005.
Are there any other packages / drivers/ methodology that may provide a faster
connection?
Any help or advice would be appreciated.
Thanks
Good morning .. sorry if this is a basic question, but is there
a lint-like utility for R to check for suspicious language
constructs?
And along the same lines, any type of interactive debugging
utility for R?
My main use of R is under Linux (though I run code sometimes
under Window XP). R
Dear R-help,
I am having problems using package lme4.
I am trying to analyse the effect of a continuous variable (Dist_NV)
on a count data response variable (SR_SUN) using Poisson error
distribution. However, when I run the model:
summary(lmer((SR_SUN)~Dist_NV + (1|factor(Farm_code)) ,
Hi All,
I am attempting to work with some data from loggers. I have read in a
.csv exported from MS Access that already has my dates and times (in 24
clock format), (with StringsAsFactors=FALSE).
head(tdata)
LogData date time
177.16 2008/04/24 02:00
2
Dear all,
I know this topic has already been covered in other posts (at least the for
loop Vs apply family of function), but I am looking for fresh / up-to-date
opinion and feedback on those 3 methods to run unavoidable loops in R. I
realise that it may be too general question for many, so
Dear Madam / R helpers,
Unfortunately the solution you have suggested is not working in the sense that
the quantities are not multplying the rows but its multiplying columnwise and
hence I am getting all wrong results.
I am again submitting my problem. Please guide me.
I have two input
library(chron)
#untested
as.chron(paste(tdata[,date], tdata[,time]), %Y/%m/%d %H:%M)
On Tue, Feb 16, 2010 at 4:47 AM, Alex Anderson
complicad...@yahoo.com.au wrote:
Hi All,
I am attempting to work with some data from loggers. I have read in a .csv
exported from MS Access that already has my
Yoni Schamroth-3 wrote:
We are currently using the odbcConnect and odbcDriverConnect functions of
RODBC package to connect to a DB built on SQL Server 2005.
Are there any other packages / drivers/ methodology that may provide a
faster connection?
Dates back to 1997: for SQL Server
On Tue, 16 Feb 2010 03:36:17 -0800 (PST) geir gei...@hotmail.com
wrote:
I want the density estimates for the points in a k x 2 matrix like for
example
A=[(0,7,0.3),(0.1,0.2),...,(0.5,0.9)]^T
which is not equally spaced, (and i do not need the density of
On Tue, 16 Feb 2010 08:00:09 -0500 Esmail esmail...@gmail.com wrote:
And along the same lines, any type of interactive debugging
utility for R?
See this article in R News:
'Debugging Without (Too Many) Tears'
http://cran.r-project.org/doc/Rnews/Rnews_2003-3.pdf#page=29
--
Karl Ove Hufthammer
say you read the quantity.csv file into a variable called
'quantity'... similarly, 'equity_price.csv' to equity.
sweep(equity, 2, quantity, *)
b
On Tue, Feb 16, 2010 at 11:20 AM, Sarah Sanchez
sarah_sanche...@yahoo.com wrote:
Dear Madam / R helpers,
Unfortunately the solution you have
Dear Dr. Turner,
Thank you very much for taking the time to answer my request. The suggestion
that you have provided did ring a bell for me. So, I went digging a bit and
found the following article that I have read a while ago:
Baskerville, G.L. 1972. Use of logarithmic regression in the
Hi,
I have the following code snippet:
require(lattice)
f.barchart - function(...) {
barchart(...,
panel = function(x, y, ...) {
panel.barchart(x, y, ...)
}
)
}
x - data.frame(a = c(1,1,2,2), b = c(1,2,3,4), c = c(1,2,2,1))
Dear Dr. Zeileis,
Thank you for pointing out on the maximum likelihood estimator property as well
as the delta method to obtain the standard error of estimated Theta.
I agree with you in that whether getting the standard error of estimated Theta
is useful or not. I will think about this
Also try
igraph
Stephen C. Upton
Research Associate
SEED (Simulation Experiments Efficient Designs) Center for Data Farming
Naval Postgraduate School
From: William Revelle li...@revelle.net
Date: Mon, 15 Feb 2010 13:57:19 -0600
To: Oliver Kullmann o.kullm...@swansea.ac.uk,
But since you don't, why not calculate the density directly for each
point (e.g., in a loop). The formula is simple enough:
mean(dnorm(x-gx,sd=h1)*dnorm(y-gy,sd=h2))
yes, this was my initial thought, and it works. (But i was hoping kde2d or
some similar function could do it faster). I'l try
Hi all,
I am working on a filled contour plot which shows a triangular matrix data
set (as shown below). Is there a possibilty to draw a triangular filled
contour in a equilateral triangle (like a ternary plot)?
Thanks in advance
Johannes
http://n4.nabble.com/file/n1557386/Bild3.png
--
View
Dear all,
I am a total beginner in R, so sorry if this is the wrong place. I am using R
2.10.1 on a Mac (Mac OS 10.6.2).
I have this small dataset :
growth sugar
75 C
72 C
73 C
61 F
67 F
64 F
62 S
63
Dear All,
I am trying to fit a 2-level random intercept logistic regression on a
data set of 20,000 cases. The model is specified as the following:
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the
Dear All,
I am trying to fit a 2-level random intercept logistic regression on a
data set of 20,000 cases. The model is specified as the following:
m1 - glmer(inftmort ~ as.factor(cohort) + (1|code), family=binomial, data=d)
I got Warning message: In mer_finalize(ans) : false convergence (8)
On 16.02.2010 15:18, Pauline Haleux (JIC) wrote:
Dear all,
I am a total beginner in R, so sorry if this is the wrong place. I am using R
2.10.1 on a Mac (Mac OS 10.6.2).
I have this small dataset :
growth sugar
75 C
72 C
73 C
61 F
67
Hello
On 2/16/10, julien cuisinier j_cuisin...@hotmail.com wrote:
1. apply Vs for loop
Seems apply is (was?) supposed to be faster than using for loop, some
posts mention that it is now more of a cosmetic function (wrapper for for
loop) making the code essentially neater. Any
On Tue, Feb 16, 2010 at 9:05 AM, Shige Song shiges...@gmail.com wrote:
Dear All,
I am trying to fit a 2-level random intercept logistic regression on a
data set of 20,000 cases. The model is specified as the following:
m1 - glmer(inftmort ~ as.factor(cohort) + (1|code), family=binomial,
It seems to me that R returns the unpenalized log-likelihood for the
ratio likelihood test when ridge regression Cox proportional model is
implemented. Is this as expected?
It is easy to verify that this is correct:
fit1 - coxph(Surv(time, status) ~ ridge(age) + ph.ecog, lung)
fit2 -
Hi,
On Fri, Feb 12, 2010 at 3:00 PM, Amy Hessen amy_4_5...@hotmail.com wrote:
Hi,
Every time I run a svm regression program, I got different RMSE value.
Could you please tell me what the reason for that?
Sorry, your question is a bit vague.
Can you provide an example/code that shows this
This is similar to another question on the list today.
On Tue, Feb 16, 2010 at 4:39 AM, Luisa Carvalheiro
lgcarvalhe...@gmail.com wrote:
Dear R users,
I am having problems using package lme4.
I am trying to analyse the effect of a continuous variable (Dist_NV)
on a count data response
Hi Doug,
Thanks. Next time I will post it to the R-SIG0-mixed-models mailing
list, as you suggested.
With respect to your question, the answer is no, these parameters do
not make sense. Here is the Stata output from exactly the same
model:
. xi:xtlogit inftmort i.cohort, i(code)
i.cohort
Whoops, forgot to cc. the list...
-pd
Myrland Øystein wrote:
Dear R-help list,
I have grouped data, looking like this:
cases - c(23,12,56,81)
total - c(123,234,248,390)
x1 - c(0,0,1,1)
x2 - c(0,1,0,1)
Data - as.data.frame(cbind(cases,total,x1,x2))
Data
On Tue, 16 Feb 2010, Lam, Tzeng Yih wrote:
Dear Dr. Turner,
Thank you very much for taking the time to answer my request. The suggestion
that you have provided did ring a bell for me. So, I went digging a bit and
found the following article that I have read a while ago:
Baskerville, G.L.
Hi
r-help-boun...@r-project.org napsal dne 16.02.2010 08:05:08:
Hi!
I am not expert in R, but perhaps you can try the following -
X = as.numeric(read.csv('quantity.csv'))
Y = read.csv('equity_price.csv')
Y = Y[, -1]
Z = X*Y
port_val = NULL
for(i in 1 : nrow(Z))
{
Hi,
i'm using randomForest package and i have 2 questions:
1. Can i drop one tree from an RF object?
2. i have a 300 trees forest, but when i use the predict function on new
data (with predict.all=TRUE) i get only 270 votes. did i do something wrong?
Thanks
--
View this message in context:
Hi
r-help-boun...@r-project.org napsal dne 16.02.2010 15:18:21:
Dear all,
I am a total beginner in R, so sorry if this is the wrong place. I am
using R
2.10.1 on a Mac (Mac OS 10.6.2).
I have this small dataset :
growth sugar
75 C
72 C
73 C
61 F
67 F
64
I have many quattro pro spreadsheets and no quattro pro. Is there a
way to access the data using R, or any other solution that anyone can
think of?
thanks,
--
Stephen Sefick
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for
Readers,
I tried to the following commands:
plot(y~x,ylab=expression(A[1]~B[2],xlab=expression(C~D))
mtext(expression(A[1]~B[2]),additional text,side=3,line=1)
I receive the text that I want, but the command terminal shows the
following response:
Warning message:
NAs introduced by coercion in:
Hello list,
I want to combine dataframes from tsv files which have different row lenght.
I tryed cbind but doesn't work.
Is there an easy way to fill with NAs till a common point of rows for all
the dataframes and then merge them?
Any other idea?
Thanks a lot,
Juan
[[alternative HTML
Hello R folks,
I'm hoping the answer to the question in the subject line.
I have in the past used SAS PROC NLIN and PROC NLP to carry out
nonlinear optimizations. I'm wondering if there is analogous ways for
doing this using R. If so, could someone please point me to some
literature that would
Hi,
I am a newbie here. I like the ability to read SPSS file since it comes with
other info.
My problem with it is that it seems that I have to read the whole file into the
memory.
For the csv file, I can read part of it and dump them into the database so that
even
though I don't have a
I'm trying to build R 2.10.1 on a Sun Blade 1000 running Solaris 10 (03/05
release). I've installed iconv 1.13.1 and used:
CPPFLAGS=-I /export/home/drkirkby/sage-4.3.3.alpha0/local/include
(which is where iconv is)
LDFLAGS=
-R/export/home/drkirkby/sage-4.3.3.alpha0/local/lib
Hi,
2. foreach (REvolution enhancement)
seems the rationale of this function is to facilitate the use of
multithreading to enhance the for loop speed. Given a moderate time
sensitivity (process must run fast but a gain of 10-20% speed seen as probably
not justifying the additional learning +
On Feb 16, 2010, at 11:09 AM, Powers, Randall - BLS wrote:
Hello R folks,
I'm hoping the answer to the question in the subject line.
I have in the past used SAS PROC NLIN and PROC NLP to carry out
nonlinear optimizations. I'm wondering if there is analogous ways for
doing this using R. If
Just a gentle reminder that the deadline for submission to the Chambers Award
Competition is fast approaching. All application materials must be received by
5:00pm EST, Monday,
February 22, 2010.
For submission guidelines, please visit
On Tue, Feb 16, 2010 at 4:12 PM, stephen sefick ssef...@gmail.com wrote:
I have many quattro pro spreadsheets and no quattro pro. Is there a
way to access the data using R, or any other solution that anyone can
think of?
OpenOffice claims it can read Quattro Pro 6.0 'wb2' files, but maybe
stephen sefick wrote:
I have many quattro pro spreadsheets and no quattro pro. Is there a
way to access the data using R, or any other solution that anyone can
think of?
thanks,
One possibility is to download the trial version of Corel Office and use
that to convert the files to something
Randall:
Are you familiar with R's Search facilities? If not, don't you think you
should be? If so, why don't you try using them BEFORE posting on this list.
?help
?help.search
help.search(optimization) ##gives several alternatives
Bert Gunter
Genentech Nonclinical Biostatistics
?p.adjust
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Manuel Jesús López Rodríguez
Sent: Sunday, February
Dear Douglas,
Thank you for your reply.
Just some extra info on the dataset: In my case Number of obs is 33,
and number of groups of factor(Farm_code) is 12.
This is the information on iterations I get:
summary(lmer(round(SR_SUN)~Dist_NV + (1|factor(Farm_code)) ,
family=poisson, verbose =TRUE))
The correlation will not be exactly 0, but will represent a draw from an
independent population.
There may be something in the copulas package to allow for more independence
(but that about exhausts my knowledge of that package).
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
On Feb 16, 2010, at 10:35 AM, Barry Rowlingson wrote:
On Tue, Feb 16, 2010 at 4:12 PM, stephen sefick ssef...@gmail.com wrote:
I have many quattro pro spreadsheets and no quattro pro. Is there a
way to access the data using R, or any other solution that anyone can
think of?
OpenOffice
Dear all
I need to compute percentage changes of my data, but unfortunately
they contain both negative and zero values, and I am quite confused on
how to proceed. Searching the internet I found that many people ran
into similar issues, with no obvious solution available.
The last couple of weeks
On 2010-02-16 9:21, e-letter wrote:
Readers,
I tried to the following commands:
plot(y~x,ylab=expression(A[1]~B[2],xlab=expression(C~D))
mtext(expression(A[1]~B[2]),additional text,side=3,line=1)
Your plot() call is not reproducible.
Anyway, try
mtext(expression(A[1]~B[2]~~additional
Hello R users,
I am trying to calculate the stochastic lambda for a published matrix
population model using the popbio package.
Unfortunately, I have been unable to match the published results. Can
anyone tell me whether this is due to slightly different methods being
used, or have I gone
On 16/02/2010, Peter Ehlers ehl...@ucalgary.ca wrote:
On 2010-02-16 9:21, e-letter wrote:
Readers,
I tried to the following commands:
plot(y~x,ylab=expression(A[1]~B[2],xlab=expression(C~D))
mtext(expression(A[1]~B[2]),additional text,side=3,line=1)
Your plot() call is not reproducible.
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Peter Dalgaard
Sent: Tuesday, February 16, 2010 1:33 AM
To: Gabor Grothendieck
Cc: r-help@r-project.org
Subject: Re: [R] argh .. if/else .. why?
Gabor Grothendieck wrote:
On 2010-02-16 10:18, e-letter wrote:
On 16/02/2010, Peter Ehlersehl...@ucalgary.ca wrote:
On 2010-02-16 9:21, e-letter wrote:
Readers,
I tried to the following commands:
plot(y~x,ylab=expression(A[1]~B[2],xlab=expression(C~D))
mtext(expression(A[1]~B[2]),additional text,side=3,line=1)
On Feb 16, 2010, at 12:18 PM, e-letter wrote:
On 16/02/2010, Peter Ehlers ehl...@ucalgary.ca wrote:
On 2010-02-16 9:21, e-letter wrote:
Readers,
I tried to the following commands:
plot(y~x,ylab=expression(A[1]~B[2],xlab=expression(C~D))
mtext(expression(A[1]~B[2]),additional
Hello,
We are having some strange issues with RODBC related to integer columns.
Whenever we do a sql query the data in a integer column is 150 actual data
points then 150 0's then 150 actual data points then 150 0's. However, our
database actually has numbers where the 0's are filled in.
hello,
maybe this code can be useful for you.
cleber
---
trimage - function(f){
x = y = seq( 1, 0, l=181 )
t1 = length(x)
im = aux = numeric(0)
for( i in seq( 1, t1, by = 2 ) ){
#idx = seq( t1**2, i*t1, by = -t1 ) - ((t1 - i):0)
idx = seq( i*t1, t1**2, by = t1 )
On Feb 16, 2010, at 12:15 PM, William Dunlap wrote:
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Peter Dalgaard
Sent: Tuesday, February 16, 2010 1:33 AM
To: Gabor Grothendieck
Cc: r-help@r-project.org
Subject: Re: [R] argh ..
I have a question for you. What's your purpose to put additional text in
the margin? In your code, the first expression(A[1]~B[2]) corresponds to
text. If you wanna additional text together with expression(A[1]~B[2]),
you should use paste. If you can clarify what kind of margin you want, that
If you can specify the questions in more details, that would be more helpful.
--
View this message in context:
http://n4.nabble.com/combining-dataframes-with-different-row-lenght-tp1557569p1557610.html
Sent from the R help mailing list archive at Nabble.com.
Hello,
I must be blind not to see it, but I have the following vector:
4
4
5
6
6
4
What I would like to have as a result is:
4
5
6
4
All repeated values are gone. I cannot use unique for this, as the second 4
would disappear. Is there another fast function for this problem?
Thanks in
On 16-Feb-10 09:03, Karl Ove Hufthammer wrote:
On Tue, 16 Feb 2010 08:00:09 -0500 Esmailesmail...@gmail.com wrote:
And along the same lines, any type of interactive debugging
utility for R?
See this article in R News:
'Debugging Without (Too Many) Tears'
On Feb 16, 2010, at 11:01 AM, jorgusch wrote:
Hello,
I must be blind not to see it, but I have the following vector:
4
4
5
6
6
4
What I would like to have as a result is:
4
5
6
4
All repeated values are gone. I cannot use unique for this, as the second 4
would
Well, can you algorithmically describe what you are trying to do? Your
example is not sufficient to determine it. For instance, are you trying to:
1) remove repeated elements of a vector and concatenate the first
element at the end?
2) remove repeated elements of a vector and concatenate
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of jorgusch
Sent: Tuesday, February 16, 2010 9:01 AM
To: r-help@r-project.org
Subject: [R] delete repeated values - not unique...
Hello,
I must be blind not to see it, but I
On Feb 16, 2010, at 12:01 PM, jorgusch wrote:
Hello,
I must be blind not to see it, but I have the following vector:
4
4
5
6
6
4
What I would like to have as a result is:
4
5
6
4
?diff
vec - c(4,4,5,6,6,4)
vec[ c(1, diff(vec)) != 0 ]
[1] 4 5 6 4
All repeated values are gone. I
Ah, the request was 'hidden' in the subject of the message, apologies!
Erik Iverson wrote:
Well, can you algorithmically describe what you are trying to do? Your
example is not sufficient to determine it. For instance, are you trying
to:
1) remove repeated elements of a vector and
Johannes,
Some months ago it was posted on R-help a list of packages that handle with
ternaryplots, altough none of them can handle surfaceplots, just
scatterplots, on a triangular area. The packages were
plot.acomp in compositions
tri in cwhmisc.cwhtool
triax in plotrix
ternary in StatDA
I'm working with a few functions (e.g. do.base.descriptions in the
netstat package) that, in addition to returning an object with
variables I want to extract, also print output. There is no way to
turn this default printing behavior off in many of the functions.
Is there a blanket way to
From: Dror
Hi,
i'm using randomForest package and i have 2 questions:
1. Can i drop one tree from an RF object?
Yes.
2. i have a 300 trees forest, but when i use the predict
function on new
data (with predict.all=TRUE) i get only 270 votes. did i do
something wrong?
Try to follow the
On Feb 16, 2010, at 1:31 PM, Jarrett Byrnes wrote:
I'm working with a few functions (e.g. do.base.descriptions in the
netstat package) that, in addition to returning an object with
variables I want to extract, also print output. There is no way to
turn this default printing behavior off in
I am trying to replicate the results of an aov command with lmer, to understand
the syntax, but I can't quite figure it out. I have a dataset from Montgomery
p. 520 with a nested and factorial layout. There are 3 fixtures, 2 layouts (the
treatments) in a factorial design, but the operators who
some more info
t(t(odbcGetInfo(connection)))
[,1]
DBMS_NameAdaptive Server Anywhere
DBMS_Ver 12.70.
Driver_ODBC_Ver 03.51
Data_Source_Name dbname
Driver_Name Adaptive Server Anywhere
Driver_Ver 09.00.0001
ODBC_Ver 03.52.
Server_Name
Dear R-users,
Does anyone know how to get margins' information using SVM under package e1071?
I have a two class classification problem and I'd like to have, for each input
example, the distance of this example to the margin just like it's possible to
obtain using C-based SVM-light, for
Hi,
I am using v1.0-4 of adapt and v2.10.1 of R.
Thank you,
M.
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__
Hi.
I have a plot containing a large number of lines. I have placed a
legend in the plot, but with so many lines, the legend takes up a lot
of space. I have tried to reduce the spacing between the lines using
the legend parameter x.intersp=0.7, but this does not compress the
legend enough. Is
rle() is cool.
-
PhD Candidate in Statistics
Dept. of Mathematics Statistics
University of New Hampshire
Durham, NH 03824 USA
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Sent from the R help mailing list archive at
If you don't have SAS and still need to read or write sas7bdat files: there
is the World Programming System (WPS) (commercial software).
http://www.teamwpc.co.uk/home/
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Sent from the R
On Tue, Feb 16, 2010 at 10:54 AM, Luisa Carvalheiro
lgcarvalhe...@gmail.com wrote:
Dear Douglas,
Thank you for your reply.
Just some extra info on the dataset: In my case Number of obs is 33,
and number of groups of factor(Farm_code) is 12.
This is the information on iterations I get:
On 16.02.2010 19:59, Rob Helpert wrote:
Hi.
I have a plot containing a large number of lines. I have placed a
legend in the plot, but with so many lines, the legend takes up a lot
of space. I have tried to reduce the spacing between the lines using
the legend parameter x.intersp=0.7, but
On Tue, Feb 16, 2010 at 9:38 AM, Shige Song shiges...@gmail.com wrote:
Hi Doug,
Thanks. Next time I will post it to the R-SIG0-mixed-models mailing
list, as you suggested.
I have added R-SIG-mixed-models to the cc: list. I suggest we drop
the cc: to R-help after this message.
With respect
Hi all,
I recently started to work with JRI/rJava and have already run R
statements from Java. Since I have larger units encapsulated in R
scripts, I would like to run those from Java directly. I was not able
to answer the following questions and would appreciate your help on
this:
How do I run
Max,
Thank you for your help. Please see my responses below.
On Tue, Feb 9, 2010 at 8:20 PM, Max Kuhn mxk...@gmail.com wrote:
I am trying to figure out how to control table width and alignment on the
page for a table generated by odfTable. Based on reading odfWeave
documentation
Hello R users,
I'm trying to take into acount the center effect in a clinical study
comparing 3 treatments (data from the book Applied Mixed Models in Medicine
Statistics by Helen Brown and Robin Prescott):
- dbp: diastolic blood pressure at 8 weeks
- dbp0: diastolic blood pressure at inclusion
-
Dear R-helpers,
I am using a vrtest on time series data. My commands are as follows;
read.table(B.txt,sep=\t,fill=TRUE, na.strings = NA)
require(vrtest)
rm(list=ls(all=TRUE))
datamat - read.table(B.txt,sep=\t,fill=TRUE, na.strings = NA)
column - 1
nob - nrow(datamat)
y -
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