ng list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e
n/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: r...@lcfltd.com
Least Cost Formulations, Ltd.
rform
fairly well, as the Edgeworth series converges rapidly to normal for
binomial distributions with p within 0.15 to 0.85 and 10+ replicates,
as I stated before.
I'd be interested in seeing the results of these 3 fits myself just
for curiosity.
At 01:21 PM 2/10/2011, array chip wro
You need to change models 2 and 3 to use ~ group
+ subject. You left subject out as a fixed factor.
At 05:17 PM 2/10/2011, array chip wrote:
Robert, thank you!
I tried all 3 models you suggested. Since each
subject only has one line of data in my dataset,
would including Subject as a factor
285.2
6 32414251XP_327605.1
7 30683862NP_850592.1
8 15218215NP_175645.1
9 30699476NP_178116.2
10 115466360 NP_001056779.1
I would appreciate any feedback.
Thanks,
-Robert
> sessionInfo()
R version 2.12.1 (2010-12-16)
Platform: x86_64-pc-mingw32/x64 (64-bit)
locale:
[1] LC_COLLA
org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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an
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=
) object@x)
setMethod("x", signature("myClass2"), function(object) object@x)
I was wondering if it is possible to do the equivalent of:
setMethod("x", signature(c("myClass1","myClass2")), function(object) object@x)
Or am I always required
ing to learn fast.
Thanks in advance,
Robert
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{ I think this message got rejected at the 1st attempt - trying again}
R 2.15.1 , windows XP
I have a very non-stationary bivariate time-series - say {xt,yt} t=1 ...
lots.
I want to do a bivariate density contour-plot of the whole series and then step
through the series 1 second at a time
Many thanks for these ideas ... I'll try them, and report back
Cheers Bob Kinley
-Original Message-
From: Duncan Murdoch [mailto:murdoch.dun...@gmail.com]
Sent: 03 July 2012 15:54
To: Robert Douglas Kinley
Cc: r-help@r-project.org
Subject: Re: [R] saving contour() plot
Take a look at the code for filled.contour().
You'll find a line beginning .Internal(filledcontour(
You can adapt this line and the lines around it to achieve what you want.
Good luck
Bob Kinley
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-pro
-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Robert Douglas Kinley
Sent: 03 July 2012 16:17
To: Duncan Murdoch
Cc: r-help@r-project.org
Subject: Re: [R] saving contour() plot info
Many thanks for these ideas ... I'll try them, and report back
Cheers Bob K
On 7/9/2012 9:17 AM, Javier Palacios Fenech wrote:
Please.
After, Terry's response I guess I was expecting to hear how your
comparison between R and STATA went when you used the R function,
survreg() for your analysis.
We still don't know what your data look like. The posting guide asks
for
, self-contained, reproducible code.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: r...@lcfltd.com
Least Cost Formulations, Ltd.URL: http://lcfltd.com/
824 Timberlake Drive Tel: 757-467-0954
Virginia Bea
list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS
uide.html
and provide commented, minimal, self-contained, reproducible code.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: r...@lcfltd.com
Least Cost Formulations, Ltd.URL: http://lcfltd.com/
824 Timberlake Dri
I am using the propagate function of the qpcR package to estimate the
standard error for an expression. This expression is simple enough
that I am able to calculate the first-order propagation of error,
which is what the documentation on propagate states that it does.
However, the results are not
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Given a survfit object, is it possible to fit an equation to the resulting
survival curve? What about with a coxph or survreg object?
TIA,
Rob
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Given a survfit object, is it possible to fit an equation to the resulting
survival curve? Is this possible? What about with a coxph or survreg object?
TIA,
Rob
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https
ities.
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Lancaster, Robert (Orbitz)
Sent: Wednesday, October 26, 2011 1:40 PM
To: r-help@r-project.org
Subject: [R] survival: fitting equation to survival curve?
Given a survfit object, is it possib
I'm assuming you want to plot the Kaplan-Meier curves. First, load your data
into a data.frame, e.g. surv_data
It looks like ST is your survival time and ind is your event indicator.
The following code should get you started:
# create your survival object:
mySurv = Surv(surv_data$ST,surv_data
Oh sorry, I misread. You'll only be able to get the confidence interval out of
the object returned by survfit.
From: Zheng Lu [mailto:luy...@hotmail.com]
Sent: Saturday, October 29, 2011 1:04 PM
To: Lancaster, Robert (Orbitz); r-help@r-project.org
Subject: RE: [R] How to plot survival data
I think it really depends on what your event of interest is. If your event is
that the patient got better and "left treatment" then I think this could work.
You would have to mark as censored any patient still in treatment or any
patient that stopped treatment w/o getting better (e.g. in the c
Hi,
I have a weird thing I don¹t understand.
Here¹s what I did:
I read some data:
data=read.table("fileName²)
then I printed the data to the screen:
data
But it didn¹t finish:
lot¹s of data was written out, but not all of it...
Then it interrupted and said:
[ reached getOption("max.print") -- omitt
On 11/9/11 7:22 PM, "David Winsemius" wrote:
>
> On Nov 9, 2011, at 5:38 PM, Cem Girit wrote:
>
>> Hello,
>>
>>Is there a web version of this R-Help user group
>> (such as
>> the ones under Google Groups) such that
>
> There is Nabble. It's not going to make you any friends
Thought there might be some Redditors lurking on these mailing lists. I
created a sub-reddit for R (and by extension Bioconductor) discussions,
links, etc.
http://www.reddit.com/r/Rsoftware/
This will be the first and only shameless plug.
-Robert
Robert M. Flight, Ph.D.
University of
Is this a homework problem?
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED]
Least Cost Formulations, Ltd.URL: http://lcfltd.com/
824 Timberlake Drive Tel: 757-467-0954
Virginia
d minimize the number of lines of R.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED]
Least Cost Formulations, Ltd.URL: http://lcfltd.com/
824 Timberlake Drive Tel: 757-467-0954
Virginia Beach, VA 23464-3239Fax: 757-467-294
ut how to get a new
data frame with the imputed values replaced (I don't have Herrell's book).
Any pointers would be appreciated.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED]
Least Cost Form
At 03:02 AM 6/30/2008, Robert A. LaBudde wrote:
I'm looking for a package that has a start-of-the-art method of
imputation of missing values in a data frame with both continuous
and factor columns.
I've found transcan() in 'Hmisc', which appears to be possibly
suite
ke you to the
asymptotic region. Use sample() to select the
data at random from within your data set to avoid bias in using the test. E.g.,
shapiro.test(sample(mydata, 1000, replace=TRUE))
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e
tribution.
If you wish to test how the distribution is
nonnormal, within some family of nonnormal
distributions, you will have to specify such a
null hypothesis and test for deviation from it.
E.g., testing for coefficient of skewness = 0.
short function
might be useful in picking off peaks (and symmetrically modified, valleys):
#findpeaks()
#Copyright 2007 by Robert A LaBudde, all rights reserved
#find peaks in (x,y) curve
findpeaks<- function(x, y) {
nx<- length(x)
ny<- length(y)
if (nx != ny) {
print (
e random variates for X1, X2, based upon whatever
unspecified distribution you wish.
2. Solve the two equations for X3 and X4.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED]
Least Cost Formulations, Ltd.
the interior
>of a general (k-r)-dimensional simplex embedded in
>k dimensions, with (k+1) given vertices?
>
The method of "rejection":
1. Generate numbers randomly in the hypercube.
2. Test to see if the point falls within the prescribed area.
3. Accept the point if it does.
4.
;tseries'
>
There doesn't seem to be anything unusual. The package is installed
like any other, and the required file is at C:\Program
Files\R\R-2.6.2\library\tseries\libs\tseries.dll. It is 36,864 bytes
and looks superficially okay.
Any ideas as to what's wrong here?
Thanks.
he problem and recompiled tseries which will appear on
>CRAN master within 12 hours.
>
>Best wishes,
>Uwe Ligges
>
>
>Robert A. LaBudde wrote:
>>I have R 2.6.2, and have tried downloading and installing the
>>package "tseries". I get the
7 black black yes 6
8 black blackno97
The xtabs() function doesn't seem appropriate, as it has no means of
using 'count'.
This must be a common problem.
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail:
Now that is simple and elegant. Thanks!
PS. Is there a course available for learning how to read R help information? :)
At 10:52 PM 4/21/2008, Gabor Grothendieck wrote:
> xtabs(count ~., prob1)
>
>On Mon, Apr 21, 2008 at 10:46 PM, Robert A. LaBudde <[EMAIL PROTECTED]> wrote:
&
https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
Robert A. LaBudde,
ex.ac.uk/atto
>
>__
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>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
===
to know how to sample X in the first place. Is its
distribution uniform, or something else?
========
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED]
Least Cost Formulations, Ltd.URL: http://lcfltd.com/
824 Ti
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED]
Least Cost Fo
.
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Robert
#x27;?
Thanks.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED]
Least Cost Formulations, Ltd.URL: http://lcfltd.com/
824 Timberlake Drive Tel: 757-467-0954
Virginia Beach, VA 23464-3239Fax: 757-467-2947
"Vere
ieve reasonable coverage.
So I'm still looking for a reliable method for all p and for reasonable n.
The proportion-based method is the best I've found, so far.
========
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTE
t.
#09.26.08 02.50 binomVarCI.r
#copyright 2008 by Robert A LaBudde, all rights reserved
#CI for binomial sample variance
#created: 09.26.08 by r.a. labudde
#changes:
require('binGroup')
binomVarCI<- function (n, x, conf=0.95) {
p<- x/n #proportion
if (p<0.25 | p>0.75
not take into account the stepwise
>>>> procedure above that was used to torture the data until they
>>>> confessed.
>>>>
>>>> Frank
>>> Please book this as a fortune.
>>>
>>> Dieter
>> Seconded!
>> T
ting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
========
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED]
Least Cost Formulations, Ltd.
Tura,
M.D,MPH,Ph.D National Institute of Cardiology
Brazil
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provide commente
I have used glm and stepAIC to choose a best model. I can use termplot to
assess the contribution of each explanatory variable in the glm. However
the final model after running stepAIC includes interaction terms, and when I
do termplot I get "Error in `[.data.frame`(mf, , i) : undefined columns
s
Problem:
I am sorting through model selection process for first time and want to make
sure that I have used glm, stepAIC, and update correctly. Something is
strange because I get a different result between:
1) a glm of 12 predictor variables followed by a stepAIC where all
interactions are consi
most instances, but occasionally I'd
like to perform the analysis directly upon the covariance matrix itself.
Thanks.
========
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: r...@lcfltd.com
Least Cost Formulations, Ltd.
ction marginal proportions as well for some pairs.
This must be a common problem in data mining, but I don't seem to be
able to locate the proper library or function for doing this in R.
Thanks for any help.
========
Robert A. LaBudde, PhD
At 03:54 PM 3/8/2008, David Winsemius wrote:
>"Robert A. LaBudde" <[EMAIL PROTECTED]> wrote in
>news:[EMAIL PROTECTED]:
>
> > Given a set of data with a number of variables plus a response, I'd
> > like to obtain a randomized subset of the rows such
ge to see what the dependence is.
Frequently curve is flat up to a certain age, and then linear
thereafter. This gives rise to a pseudo-quadratic relationship. You
should be able to fit it better with the split plus a linear term.
5. Think about how age should affect your response before trying model
test <- c("060907_17_3_5_1_1_2909.tif", "060907_17_3_5_2_1_2910.tif",
"060907_17_3_5_3_1_2911.tif")
sub('[[:digit:]][[:digit:]][[:digit:]][[:digit:]]\.tif', '', test)
or
test <- c("060907_17_3_5_1_1_2909.tif", "060907_17_3_5_2_1_2910.tif",
"060907_17_3_5_3_1_2911.tif")
sub('[[:digit:]]{4}\.ti
I believe you're looking for:
dim(a)
dim(a)[1] # Number of observations, in your example, 12
dim(a)[2] # Number of variables per observation, in your example, 9
--Jeff.
On Sep 17, 2007, at 12:05 PM, Alfredo Alessandrini wrote:
> Hi everybody,
>
> If I've a data frame like this:
>
> datafram
For the sake of absolute correctness:
> sub('[[:digit:]]{4}\.tif', '', test)
should be
sub('[[:digit:]]{4}\\.tif', '', test)
-- Jeff.
On Sep 17, 2007, at 11:59 AM, Jeffrey Robert Spies wrote:
> test <- c("060907_17_3_5_1_1_2909.tif&quo
And one using regular expressions:
x <- "2005-09-01"
pattern <- '([[:digit:]]{4})-([[:digit:]]{2})-([[:digit:]]{2})'
y <- sub(pattern, '\\1', x)
m <- sub(pattern, '\\2', x)
d <- sub(pattern, '\\3', x)
-- Jeff.
On Sep 18, 2007, at 5:00 AM, Arun Kumar Saha wrote:
> Dear all,
>
> I have a variable
, this site is quite
useful: http://www.cs.utah.edu/dept/old/texinfo/regex/regex_toc.html.
Make sense?
Jeff.
On Sep 18, 2007, at 10:46 AM, Arun Kumar Saha wrote:
> Dear Jeffrey,
>
> Your syntax looks very extraordinary to me. I would be very happy
> if you can explain this notation.
&g
How about this:
a <- matrix(cbind(rep(2, 500), rep(3, 500)), 500, 2)
b <- matrix(cbind(rep(5, 500), rep(6, 500), rep(7, 500)), 500, 3)
matrix(apply(a, c(2), "*", b), nrow=500, ncol=6)
We apply the multiplier (quoted as specified in the apply help) with
argument b to every column of a as specif
I hope this will change by and by.
The more examples you see and play with, the more you'll understand.
> So I would be very pleased if you could help me once again.
>
> Greetings
>
> Birgit
Cheers,
Jeff.
>
> Am 28.09.2007 um 18:25 schrieb Jeffrey Robert Spies:
&
Not sure how you want to handle the NAs, but you could try the
following:
#start
MalVar29_37 <- read.table(textConnection("V1 V2 V3 V4 V5 V6 V7 V8 V9
0 0 0 0 0 1 0 0 0
0 0 0 0 0 1 0 0 0
0 0 0 0 0 1 0 0 0
NA NA NA NA NA NA NA NA NA
0 1 0 0 0 1 0 0 0"), header=TRUE)
Hi Edna,
Can you send a small subset of the data as an example and the
function call you used to read the data in originally? It might be
helpful in understanding why you're losing the "time element".
Jeff.
On Oct 1, 2007, at 12:27 AM, Edna Bell wrote:
> Dear R gurus
>
> I would like to ta
You were on the right track with the for loop, but often you can do
the same thing looplessly (I know, it's not really a word) in R:
If your data is like this:
data<-data.frame(ID=rep(letters[1:4], 5), size=runif(20))
then apply either
tapply(data$size, data$ID, mean)
or
aggregate(data$size
stderr_int <- summary(lm(y ~ x))$coefficients[1,2]
stderr_slope <- summary(lm(y ~ x))$coefficients[2,2]
Jeff.
On Oct 3, 2007, at 3:01 AM, Alexander Moreno wrote:
> Hi,
>
> If I have two vectors x and y and I do lm(y~x) and now I want to
> define
> variables that are the standard errors of the
[Resend with proper subject line]
I am trying to compute bootstrap confidence intervals for a sample
using R 2.5.1 for Windows.
I can get "Normal", "Basic", "Percentile", "BCa" and "ABC" from
boot.ci() and boot() in the Davison & Hinkley "boot" package.
But I can't figure out how to use tilt.b
n the tilt.boot() call.
This must be simple, but I'm not finding out the answer from the documentation.
Also, use of any other packages to accomplish the tilting interval
would also be useful.
Thanks.
Robert A. LaBudde, PhD,
t;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/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
rest? Or, must these summary functions be programmed
>separately to work on a row?
Try using t() to transpose the matrix, and then apply the column
function of interest.
====
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [
I've studied R a little bit, although I haven't used it in some time
(except via RCommander). I'm working on my dissertation project and
have spectrometer data that I need to evaluate. I need to find a way to
simplify the output from multi-way ANOVA so I can reduce the areas of
the spectrum t
I have an R script that is giving me a Segmentation Fault depending on the size
of the dataset. It is only happening on our Unix installation of R Server. I
am able to run it against a Windows server with the exact same data and script
successfully.
The Segmentation Fault occurs when I call n
I am trying to figure out the best way to organize and plot data
generated by a Excel spreadsheet (one driving a sample turntable and
collecting optical spectra).
The output of the equipment and software is an excel spreadsheet with
sample numbers in the first row, and in the first column ther
Hi Jon,
Here's one way.
> x <- c(1,2,3,4,NaN)
> y <- c(1,2,NaN,4,5)
>
> myDF <- data.frame(x,y)
> myDF
x y
1 1 1
2 2 2
3 3 NaN
4 4 4
5 NaN 5
>
> myDF[ is.na(myDF) ] <- NA
> myDF
x y
1 1 1
2 2 2
3 3 NA
4 4 4
5 NA 5
Cheers,
Bob
=
Hello all,
I am going to be running a small statistics workshop using R sometime
in November. I am restricted to R because of the specific libraries I
will be using - a good thing in my book - however the attendees are
unfamiliar with R. I plan on giving as little R information as
possible - ju
Hi Michael,
I've used the R plug-in and really like it. You can read my instructions
on how to install and use it by going to Amazon.com, searching for the
book, "R for SAS and SPSS Users" and then "search inside the book" for
the section, "Running R from SPSS". I've only got about 3 pages on it
(
Hi Paul,
Sorry I didn't get to that subject in the first edition of R for SAS and SPSS
Users. Several of the options people have mentioned will be in the second
edition, although that's about a year off. I did get them added to R for Stata
Users, due out in early April.
Cheers,
Bob
>-Ori
,1]<-1 ;M[4,2]<-2;M[3,4]<-3;M[1,3]<-4
Col <- M
Col[] <- "black"
Col[4,2] <- "darkred"
pp<-plotmat(M,pos=c(1,2,1),curve=0.2,name=names,lwd=1,box.lwd=2,cex.txt=0.8,
arr.type="triangle",box.size=0.1,box.type="hexa",box.prop=0.25,
arr.co
Dear R-helpers,
I know of two ways to reading data within an R program, using
textConnection and stdin (demo program below). I've Googled about and
looked in several books for comparisons of the two approaches but
haven't found anything. Are there any particular advantages or
disadvantages to thes
Since stdin seemed simpler I figured textConnection must have some
advantage.
Thanks!
Bob
From: Gabor Grothendieck [mailto:ggrothendi...@gmail.com]
Sent: Saturday, July 11, 2009 6:00 PM
To: Muenchen, Robert A (Bob)
Cc: R-help@r-project.org
Subject: Re: [R] Reading data entered within an
It just produces the "bell" sound on my 32-bit windows XP machine runing R
2.9.1
Is this really a "standard" combination? I know a lot of programs that use
ctrl-Z, but I've never come across this shortcut key combination for undo.
- Original Message -
From: "tradenet"
To:
Sent:
packages has
insight into why the results differ, I'd appreciate hearing about it. I'm
new to R. Thanks. (Version info below. Same results on Windows and Solaris
8, except that I haven't gotten glmnet to compile on the latter.)
Robert V (Bob) Sasseen
[1]sass...@ai.sri.co
Dear R-Helpers,
I've looked high and low for a function that provides frequencies,
proportions and cumulative proportions side-by-side. Below is the table
I need. Is there a function that already does it?
Thanks,
Bob
> # Generate some test scores
> myValues <- c(70:95)
> Score <- ( sample( myVal
Ted,
I know how to do that. It's just such a standard display in SAS, SPSS
and Stata that I figured someone had done it and I had just overlooked
it.
Thanks!
Bob
I don't think there is a ready-made one, but it is very little
effort to make your own:
mkMyTable <- function(X){
Table <- data.f
0.043 |
|---|
...
-Original Message-
From: David Scott [mailto:d.sc...@auckland.ac.nz]
Sent: Friday, October 16, 2009 8:42 PM
To: Muenchen, Robert A (Bob)
Cc: ted.hard...@manchester.ac.uk; r-help@r-project.org
Subject: Re: [R] Frequencies, proportions & cumulative proportions
Muenchen, Robert A (Bob)
Hi All,
I don't know if this has been reported before, but according to Henrique
Dallazuanna's program (below) the number of R packages has exceeded the
3,000 mark. The count today is 3,175. I ran this just a couple of months
ago & the number was still in the high 2,000s, so it must be fairly
r
: Muenchen, Robert A (Bob)
Cc: r-help@r-project.org
Subject: Re: [R] R Packages Crack the 3,000 Mark!
Hello
On 11/24/09, Muenchen, Robert A (Bob) wrote:
> I don't know if this has been reported before, but according to Henrique
> Dallazuanna's program (below) the number of R packages
I thought that the unique function would eliminate duplicate package names. Is
there a better way to count the number of packages?
Thanks,
Bob
-Original Message-
From: Gabor Grothendieck [mailto:ggrothendi...@gmail.com]
Sent: Wednesday, November 25, 2009 10:40 AM
To: Muenchen, Robert A
The author of the penalized package, j.j.goeman at lumc.nl, kindly
replied to my message. He also responded to another question I asked him.
--
The differences have to do with different scaling defaults.
lrm by default standardizes the covariates to unit sd before applying
pen
First, data is an R function so it is better to avoid it as a name for
another object. For example, use dat instead.
Try this:
data(iris)
dat=iris
colnames(iris)
[1] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" "Species"
colnames(dat)
[1] "Sepal.Length" "Sepal.Width" "Petal.Le
Hi All,
I have substantially expanded the table that compares SAS and SPSS
add-on modules to somewhat equivalent R packages. This new version is
at:
http://r4stats.com/add-on-modules
and I would very much appreciate any feedback you might have on it.
The site http://r4stats.com is the replacemen
>From: b.rowling...@googlemail.com [mailto:b.rowling...@googlemail.com] On
>Behalf Of Barry Rowlingson
>Sent: Wednesday, January 13, 2010 7:03 PM
>To: Muenchen, Robert A (Bob)
>Cc: r-help@r-project.org
>Subject: Re: [R] Updated comparison table for SAS-SPSS Add-ons and R Func
Hi Liviu,
Thanks for those suggestions. I've made the changes and added you to the list
of contributors.
Cheers,
Bob
> -Original Message-
> From: Liviu Andronic [mailto:landronim...@gmail.com]
> Sent: Thursday, January 14, 2010 7:06 AM
> To: Muenchen, Robert
Besides monitization, Windows has a few other things that infuriate
me... (1) VERY hard to control updates, (2) "sneaker" updates - things
installed that people don't want (like trying to force Windows computer
owners to update - and sometimes wrecking the computer when it does),
(3) bad update
Learn R and/or data mangement at home October 7 through 11
http://r4stats.com/2013/09/11/learn-r-andor-data-management-from-home-october-7-11/
==
Bob Muenchen (pronounced Min'-chen)
Accredited Professional Statistician(tm)
Manager, Researc
Dear R-Helpers,
I was calling the TukeyHSD function and not getting confidence intervals or
p-values. It turns out this was caused by missing data and the fact that I had
previously turned on R Commander (Rcmdr). John Fox knew that Rcmdr sets
na.action to na.exclude, which causes the problem. I
Hi All,
I've been fiddling around with various ways to estimate the popularity
of R, SAS, SPSS, Stata, JMP, Minitab, Statistica, Systat, BMDP, S-PLUS,
R-PLUS and Revolution R. It's not an easy task. You can see what I've
come up with so far at http://r4stats.com/popularity . I'm sure people
will h
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