Adrienne - this solves the problem nicely. Thanks for your help.
David S. Herzberg, Ph.D.
Vice President, Research and Development
Western Psychological Services
12031 Wilshire Blvd.
Los Angeles, CA 90025-1251
Phone: (310)478-2061 x144
FAX: (310)478-7838
email: dav...@wpspublish.com
From:
Here is a dodge I often use. This is a mock-up example.
___
bar - data.frame(matrix(rnorm(1001), nrow = 1))
names(bar)[1] - y ## say
head(bar[,1:5])
nbar - names(bar)
form - as.formula(paste(nbar[1], ~, paste(nbar[-1], collapse = +)))
fitModel - substitute(tm - rpart(FORM, data =
Okay, I've been convinced of both
the feasibility and the desirability
of a pdf. However, such a thing is
unlikely to appear very soon.
On 23/10/2010 20:23, 刘力平 wrote:
Hi, all:
My opinion is, provide a PDF tutorial is important, but not one web page
containing everything.
From the
On 24/10/2010 04:35, Steve Lianoglou wrote:
[ ... ]
Speaking as as an older R-user to a new R-user, I can understand some
of the frustrations you feel with coming up to speed with a new
programming language.
One piece of advice I have for you is that you should actually take
the time to read
Dear R-users,
i try to use the following code to do a gamma regression
glm(x1 / x2 ~ x3 + x4 + x5 + x6 + x7 + x8, family=Gamma(link=log),
weights=x2)
but here i get the error
Error: NA/NaN/Inf in foreign function call (arg 1)
In addition: Warning message:
step size truncated due to
On Sun, Oct 24, 2010 at 10:33 AM, Patrick Burns
pbu...@pburns.seanet.com wrote:
If you look at 'Introduction' through the eyes of
a complete novice, it is really, really scary.
Ditto. I had no programming background prior to learning R, and after
half a minute glancing through the 'Intro to R'
Hello Jim,
Please reply to the list - you'll have a much better chance of getting
useful suggestions.
OK so some addition info. I know each of the X2 is in (0,1). Is there any
method available?
I don't think that's sufficient to estimate b, at least not in my
experience of fitting Bayesian
Dear All,
I would like to plot a scalar (e.g. a temperature) on a non-rectangular
domain (or even better: I would simply like to be able to draw a contour
plot on an arbitrary 2D domain). I wonder if there is any tool to
achieve that with R. I did some online search in particular on the list
On 24-Oct-10 11:30:57, Lorenzo Isella wrote:
Dear All,
I would like to plot a scalar (e.g. a temperature) on a non-rectangular
domain (or even better: I would simply like to be able to draw a
contour plot on an arbitrary 2D domain). I wonder if there is any
tool to achieve that with R. I did
On 10/24/2010 01:51 PM, (Ted Harding) wrote:
On 24-Oct-10 11:30:57, Lorenzo Isella wrote:
Dear All,
I would like to plot a scalar (e.g. a temperature) on a non-rectangular
domain (or even better: I would simply like to be able to draw a
contour plot on an arbitrary 2D domain). I wonder if there
On 24.10.2010 14:14, Lorenzo Isella wrote:
On 10/24/2010 01:51 PM, (Ted Harding) wrote:
On 24-Oct-10 11:30:57, Lorenzo Isella wrote:
Dear All,
I would like to plot a scalar (e.g. a temperature) on a non-rectangular
domain (or even better: I would simply like to be able to draw a
contour plot
On Oct 24, 2010, at 4:30 AM, Lorenzo Isella wrote:
Dear All,
I would like to plot a scalar (e.g. a temperature) on a non-
rectangular domain (or even better: I would simply like to be able
to draw a contour plot on an arbitrary 2D domain). I wonder if there
is any tool to achieve that
On 10/24/2010 02:55 PM, David Winsemius wrote:
On Oct 24, 2010, at 4:30 AM, Lorenzo Isella wrote:
Dear All,
I would like to plot a scalar (e.g. a temperature) on a
non-rectangular domain (or even better: I would simply like to be able
to draw a contour plot on an arbitrary 2D domain). I
On Oct 24, 2010, at 6:12 AM, Lorenzo Isella wrote:
As to the domain of the function, at least in case (1), that should
arise from the collected data points in (x,y) if the sampling is
dense enough.
And that is precisely what you get from the perimeter function. The
earlier Design
Here is a dodge I often use. This is a mock-up example.
Very instructive (and helpful) ...
___
bar - data.frame(matrix(rnorm(1001), nrow = 1))
names(bar)[1] - y ## say
head(bar[,1:5])
nbar - names(bar)
form - as.formula(paste(nbar[1], ~, paste(nbar[-1], collapse = +)))
Dear all,
I'm working with two point patterns (ppp) in spatstat. I turned one of
them into a spatial covariate (im) object. After that, I used this im
object to fit a Poisson model for the second point pattern, using the
covariate layer from the first one.
In R, the whole thing looks somewhat
The OOB error estimates in RF is one really nifty feature that alleviate
the need for additional cross-validation or resampling. I've done some
empirical comparison between OOB estimates and 10-fold CV estimates, and
they are basically the same.
Andy
-Original Message-
From:
This won't be as quick as Bill's elegant solution, but it's a one-liner:
apply(d, 1, function(x), match(1, x))
See ?match.
-Peter Ehlers
On 2010-10-22 10:36, David Herzberg wrote:
Bill, thanks so much for this. I'll get a chance to test it later today, and
will post the outcome.
David
Would anybody be able to advise on which package would offer the best
approach for producing a model able to predict the probability of species
occupation based upon a range of variables, some of them catagorical (eg.
ten soil types where the numbers assigned are not related to any
Hi all,
I generated a covariance matrix and visualized as a 2D contour plot (x,y,
covariance matrix), I would like to extract from the matrix the values ( in
x and y) that auto-correlate which I will plot as an normal (x,y(being the
values that auto-corelate to a certain x and y values in my
Hi,
And thanks for helping. I am anyway a bit puzzled, since case (1) is not
only a matter of interpolation. Probably the point I did not make clear
(my fault) is that case (1) in my original email does not refer to an
irregular grid on a rectangular domain; the set of (x,y) coordinate
could
Hello everyone.
These days I am writing some code for a small project. I have started having
problems with different versions of the files I keep (in case I need to move to
older files).
I need some easy cvs platform ( I do not know if cvs is the general name or a
specific program) that is easy
On Wed, Oct 20, 2010 at 5:30 PM, Nutter, Benjamin nutt...@ccf.org wrote:
I run into that problem frequently. I can usually circumvent it by using
the
quote = \
Argument. The default is quote = \' which uses the double and
single quote as quoting symbols. If you change it to \ it will read
Hi,
I have a dataframe with 43 columns and a 1000 rows. Each entry in the
dataframe can be either P or A.
here is a small chunk:
c1c2 ...c43
r100 P A ... P
r101 A A ... A
r102 P P ... P
How does one subset this data frame to select those rows
Hi Anjan,
Please consider the following example:
x - c(2, rep(1, 10))
all(x == 1)
[1] FALSE
d - replicate(10, sample(x, replace = TRUE))
d
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,]111111211 1
[2,]111212
Hi,
On Sun, Oct 24, 2010 at 1:15 PM, Alaios ala...@yahoo.com wrote:
Hello everyone.
These days I am writing some code for a small project. I have started having
problems with different versions of the files I keep (in case I need to move
to
older files).
I need some easy cvs platform ( I
Thanks all for your help.
Anjan
On Sun, Oct 24, 2010 at 1:38 PM, Jorge Ivan Velez
jorgeivanve...@gmail.comwrote:
Hi Anjan,
Please consider the following example:
x - c(2, rep(1, 10))
all(x == 1)
[1] FALSE
d - replicate(10, sample(x, replace = TRUE))
d
[,1] [,2] [,3] [,4]
Whoops, got an extra comma in there somehow; should be:
apply(d, 1, function(x) match(1, x))
-Peter Ehlers
On 2010-10-24 08:17, Peter Ehlers wrote:
This won't be as quick as Bill's elegant solution, but it's a one-liner:
apply(d, 1, function(x), match(1, x))
See ?match.
-Peter
quick programming question. I am not making enough errors in my
programs, so I want to trigger a few more. ;-)
[1] undefined variable behavior:
d=data.frame( x=rnorm(1:10), y=rnorm(1:10))
z
Error: object 'z' not found
d$z
NULL
is this consistent? I thought that z is the same as
On 24-Oct-10 19:55:12, ivo welch wrote:
quick programming question. I am not making enough errors in my
programs, so I want to trigger a few more. ;-)
[1] undefined variable behavior:
d=data.frame( x=rnorm(1:10), y=rnorm(1:10))
z
Error: object 'z' not found
d$z NULL
is this
Dear Sir/Madam
*CALL FOR PAPER DECEMBER ISSUE*
Greetings from INTERNATIONAL JOURNAL OF COMPUTER TECHNOLOGY AND APPLICATIONS
(IJCTA)
IJCTA is an international, peer-reviewed online journal entitled to publish
original research articles in the fields of Computer science and Information
Dear List
I just downloaded and installed R 2.12.0 and then installed R Commander .
First it got RCmdr and Car, and then suggested for other packages for
utilizing the full functionality- I clicked yes!
I got 140 packages installed!!! Cran Mirror was UCLA...
Here is the list.
Is this
Hi, dear fellows,
I was wondering how can I simulate from an estimated density function? I
used my training data set and already have estimated density values at some
fixed points. I plan to simulate some data from such estimated density and
compare them to my validation data set. Anyone can
I'm trying to import a CSV file into R and when it gets imported, the
entries get numbered down the left side. How do I get rid of that?
Thanks,
Jason
* read.csv(file=C:\\Program Files\\R\\Test Data\\sales.csv,head=TRUE)
Month Sales
1January 422
2 February 151
3 March
On 10/24/2010 04:57 PM, Jason Kwok wrote:
I'm trying to import a CSV file into R and when it gets imported, the
entries get numbered down the left side. How do I get rid of that?
When you imported the CSV file into R, an object of class data.frame
was created, and since you did not assign it
Thanks for the response Erik.
In this case, I would like to keep the row name as the month. How would I
do that?
Thanks,
Jason
On Sun, Oct 24, 2010 at 6:20 PM, Erik Iverson er...@ccbr.umn.edu wrote:
On 10/24/2010 04:57 PM, Jason Kwok wrote:
I'm trying to import a CSV file into R and when
You usually simulate a distribution by:
1. building the cumulative distribution (use cumsum).
2. Simulating a random number (from uniform distribution, use runif
(number_of_simulations_needed)).
3. Get the closest number to the number simulated from the cumulative
distribution.
4. The
sales - read.csv(file=C:/Program Files/R/Test Data/sales.csv,
header=TRUE, row.names = Month)
^^^
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of
On Mon, Oct 25, 2010 at 12:26 AM, Jason Kwok jayk...@gmail.com wrote:
Thanks for the response Erik.
In this case, I would like to keep the row name as the month. How would I
do that?
You can do this in Rcmdr. First Data Import From text file (or
select your data.frame as active data set),
On Sun, Oct 24, 2010 at 2:54 PM, Peter Ehlers ehl...@ucalgary.ca wrote:
Whoops, got an extra comma in there somehow; should be:
apply(d, 1, function(x) match(1, x))
A slight variation on this would be:
apply(d, 1, match, x = 1)
--
Statistics Software Consulting
GKX Group, GKX
Dear Ajay,
This is a consequence of installing the dependencies (including suggested
packages, etc.) of the Rcmdr package, their dependencies, and so on
recursively. The alternative would be for the Rcmdr package to specify its
direct dependencies via depends rather than suggests, but then these
On Oct 24, 2010, at 9:30 AM, Lorenzo Isella wrote:
Hi,
And thanks for helping. I am anyway a bit puzzled, since case (1)
is not
only a matter of interpolation. Probably the point I did not make
clear
(my fault) is that case (1) in my original email does not refer to
an
irregular grid
Can you provide a reproducible code?
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
I seem Unable to allocate arrays of size around 2GB in 64 bit Windows 7
R. There is a lot of main memory available. The memory.limit is set to the
max memory available, and there is more than 10GB of that available when R
returns an 'unable to allocate memory' error. Is this a limitation of R
Dear R user,
Can you please
help me. How do I convert part of a cluster analysis output under the heading
âClustering
vectorâ as shown below, showing the clusters to which each respondent belongs
to:
Â
  [1] 1 1 2 2 1 2 1 2 1 1 2 2 1 2 2 2 2 1 1 1
1 2 2 1 2 2 1 2 2 2 2 2 2 2 2 1 2
Â
Hello,
How would you go about handling the following situation?
This is on R 2.12.0 on Ubuntu 32-bit.
I have a wrapper function to lm. I want to pass in a
subset argument. First, I just thought I'd use
## make example reproducible
set.seed(123)
df1 - data.frame(age = rnorm(100, 50, 10),
Dear R-helpers,
apologies if this is somewhere in a manual, I have not been able to
find anything relevant. I run Windows Vista.
I have some Fortran code in a subroutine, and have no problem calling
this from R with .Fortran, compiling the code either with 'R CMD
SHLIB' or independently with
I am about to give an introduction to R to some clinical data managers
used to SAS. There is already a lot of material in printed form and
on the web that paves the way. What I haven't found so far are text
wrapping capabilities in setting tables in raw text as in SAS PROC
REPORT.
At the moment
2010/10/25 Johannes Huesing johan...@huesing.name
I am about to give an introduction to R to some clinical data managers
used to SAS. There is already a lot of material in printed form and
on the web that paves the way. What I haven't found so far are text
wrapping capabilities in setting
I would demonstrate one of the many LaTeX table functions. Off hand,
packages xtable, hmisc, and quantreg all have functions that convert R
objects to LaTeX tables.
If they're unwilling to work in LaTeX, you can use something like
LaTeXiT or Laeqed to create PDFs or PNGs of the tables for
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