Dear all
I have a Windows Server 2008 R2 Enterprise machine, with 64bit R installed
running on 2 x Quad-core Intel Xeon 5500 processor with 24GB DDR3 1066 Mhz
RAM. I am seeking to analyse very large data sets (perhaps as much as
10GB), without the addtional coding overhead of a package
To: Ista Zahn iz...@psych.rochester.edu
Cc: Techni X fiboswo...@yahoo.com, r-help@r-project.org
Date: Wednesday, February 23, 2011, 2:08 AM
On Feb 22, 2011, at 7:10 PM, Ista Zahn wrote:
Hi,
This is R, so there are bound to be severay ways to do
it. This would
be my first choice
into a x-y chart, the lines representing
A, B, C. The x-axis is given by V2, the y-axis by V3, thus each line will be
“ascending”
It must be something with SUBSET or so, but I do not find an easy way.
Can anybody help me?
Thanks
Stephan
__
R-help@r
Is anyone aware of a way to seasonally adjust time series data using X-12 ARIMA
and TRAMO/SEATS from within R? I know that that one can seasonally adjust data
with gretl, which I understand offers some level of R integration. However, all
the examples I've seen of gretl/R integration involve
I have a vector of monthly log asset price returns. I would like use the boot
package to sample one-year returns, and then calculate confidence intervals on
the loss distribution only. More concretely, I would like to say something like
99% of LOSSES (not RETURNS) are above cutoff X
}
Abiel Reinhart
-Original Message-
From: Gabor Grothendieck [mailto:ggrothendi...@gmail.com]
Sent: Wednesday, May 12, 2010 12:00 PM
To: Abiel X Reinhart
Cc: r-help@r-project.org
Subject: Re: [R] Vectorized expression to extrapolate matrix columns with
columns of another matrix
Yes
:37 AM
To: Abiel X Reinhart
Cc: r-help@r-project.org
Subject: Re: [R] Vectorized expression to extrapolate matrix columns with
columns of another matrix
Try this using the zoo package. See ?na.approx for more and note that
this functionality requires zoo 1.6-3 or later.
. m - zoo(cbind(c(1, 2, NA
Gabor,
Maybe I am doing this wrong, but rule=2 does not look like it is growing the
series out, but rather just carrying the last value forward. It looks like
na.approx() followed by na.locf(). For instance:
m - zoo(cbind(c(1, 2, NA, NA, 5, NA, NA), seq(7)^2), as.Date(1:7))
na.approx(m[, 1], x
Is there a way to recover the model matrix that is being used by the plm
package? For example, if you run a panel regression with fixed effects, the
model matrix would contain the generated dummy variables for the groups.
Thanks.
Abiel Reinhart
This communication is for informational
I have two identically sized matrices of data that represent time series (I am
storing the data in zoo objects, but the idea should apply to any matrix of
data). The time series in the second matrix extend further than in the first
matrix, and I would like to use the data in matrix 2 to
Is there a way to force a certain block of captured output to fit onto a single
printed page, where one can specify the properties of the page (dimensions,
margins, etc)? For example, I might want to generate 10 different cuts of a
data table and then capture all the output into a PDF, ensuring
I am trying to run na.approx on a zoo object in which some of the columns
contain nothing by NA values. When I do this I get the following error:
Error in approx(x[!na], y[!na], xout, ...) :
need at least two non-NA values to interpolate
Is there a way I can use na.approx with my dataset so
When using the tis time series package (v1.9), I cannot select or alter a
subset of a time series when the time series is created from a matrix and the
matrix contains NA values.
Example:
x-tis(t(c(1:10,NA)), start=c(2000,1), freq=12)
x[x0]-0
The second line yields Error in if (any(i nrow(x
I am using RCurl's curlPerform command to send an XML string to an HTTP server
running on the localhost. The command is something like this:
reader - basicTextGatherer()
curlPerform(url=http://127.0.0.1/;,
httpheader=c('Content-Type' = text/xml; charset=utf-8),
(henon(start = rnorm(2), a = 1.4, b = 0.3, n.sample = 2000, :
error in evaluating the argument 'x' in selecting a method for function 'plot'
I've loaded fractal package. An other fractal, lorenz, work well.
I use linux mandriva 2010.0
Any suggestions?
Thanks
I have: f - ols( y1 ~ (rcs(x1,3) + rcs(x2,3) + rcs(x1,3) %ia% rcs(x2,3) ) )
Then I do: plot(f)
This plots y1 against x2 for a given value of x1.
Is there a way to make it *also* plot y1 against x1 for a given value of x2?
If not, I guess I can do coplot(y1 ~ x1 | x2).
Thanks in advance,
sp
x wrote:
x2NA 1.797e+14NA NA
x2' NA 6.475e+14NA
NA
Residual standard error: 82.44 on 95 degrees of
freedom
Adjusted R-Squared: 0.9992
Error in if (coef[i] 0 (i 2 |
coef[1]
!= 0 | Intc != 0)) + else NULL : missing
Hi,
My code, output, error message, and sample data are all below. As always, all
help is appreciated.
Code:
library(Design); library(lattice)
df = read.table(./data_cub4.txt, header=TRUE, nrows=100)
attach(df); dd = datadist(df); options(datadist = 'dd'); describe(df);
m = (y1 ~ (
Hi all,
I'm reposting this with a more appropriate subject.
Do I need to define limits as the error message seems to suggest? If so, how?
The error message, my code, the output and the first few lines of my data are
all below.
Thank you!
Error in Getlim(at, allow.null = TRUE, need.all =
Hi all,
Do I need to define limits as the error message seems to suggest? The error
message, my code, the output and the first few lines of my data are all below.
Thank you!
Error in Getlim(at, allow.null = TRUE, need.all = TRUE) :
variable dmodel.df does not have limits defined in fit or
Hi all,
I've simple code to read a file (verify.txt in the same directory as the script
file) but when I run this I get
Error in eval(expr, envir, enclos) : object y not found.
data_model.df = read.table(./verify.txt, header=TRUE, nrows=10);
f - lm(y ~ x)
Could someone pls tell me what's
Thank you for the reply. That format works but since I need access to x, y
subsequent to lm() also, I tried the following but now I'm back to the same old
error message of object y not being found.
data_model.df = read.table(./verify.txt, header=TRUE, nrows=10);
dd = datadist(data_model.df
I forgot to show that my file indeed contains x, y values:
x y
1 8.2
2 18
3 -17.6
4 -3.4
5 6.8
6 11.3
7 1.5
8 11
9 -3.3
10 8.1
--- On Wed, 4/15/09, x to_rent_2...@yahoo.com wrote:
From: x to_rent_2...@yahoo.com
Subject: RE: [R
agree with Daniel J. Nordlund that the problem must be
that you are not
attaching the data to directly access x and y. Try to do
that with
attach(data_model.df) right after reading the data.
Talita
2009/4/15 x to_rent_2...@yahoo.com
I forgot to show that my file indeed contains x, y
David Winsemius wrote:
help.search did not offer any clues. Using Baron's search page, I got
reference to r-help entries from 2004, but looking at the current
documentation , I see no such function. I am wondering if the name of the
function was changed in later versions of the package and
Hey,
My dataset has 1 dependent variable(Logloss) and 7 independent dummy
variables(AS,AM,CB,CF,RB,RBR,TS) , it's attached in this email. The problem
is I cant finish Khmaladze test because there's an error Error in
switch(mode(x), NULL = structure(NULL, class = formula), : invalid
formula
Dear Experts,
I am trying to do a time-stratified case-crossover analysis on air
pollution data and number of myocardial infarctions. In order to avoid
model selection bias, I started with a simple simulation.
I'm still not sure if my simulation is right. But the results I get from
the
Dear Experts,
I am trying to do a time-stratified case-crossover analysis on air pollution
data and number of myocardial infarctions. In order to avoid model selection
bias, I started with a simple simulation.
I'm still not sure if my simulation is right. But the results I get from the
Dear R-users,
If you use the exact Wilcoxon test in the coin package, I would like
make you aware of that SPSS/StatXact MAY perform a round-off before
doing their exact Wilcoxon-Mann-Whitney test (if you ever are unlucky
enough not to use R).
I have data from two treatments and was surprised to
Dear John,
Forgive me for putting my nose out, I hope that I'm not rude, but I am a bit
bewildered by your mail (and by statistical modelling).
I agree that if your model is:
Lawndepression~lawn.roller.weight +(1|lawn.id),
When, in fact, it *should be* (because you simulated the data or
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