Displaying 20 results from an estimated 400 matches similar to: "transform() on selective names. Is it possible?"
2009 Feb 16
2
Whitening Time Series
Hi R users,
I am doing cross correlation analysis on 2 time series (call them y-series
and x-series) where I need the use the model developed on the x-series to
prewhiten the yseries.. Can someone point me to a function/filter in R that
would allow me to do that?
Thanks in advance for any help!
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2013 Mar 25
3
nested 'while' loops
Hi everyone,
I'm using the following code to go over every element of a data frame (row
wise). The problem I am facing is that the outer 'x' variable is not
incrementing itself, thus, only one row of values is obtained, and the
program does not proceed to the next row.
This is the code:
while(x<=coln)
{
while(y<=rown)
{
n<-as.numeric(df[[y]][x]);
2008 Aug 05
1
Mixed model with multiple response variables?
Hi,
I have a data set collected from 10 measurements (response variables)
on two groups (healthy and patient) of subjects performing 4 different
tasks. In other words there are two fixed factors (group and task),
and 10 response variables. I could analyze the data with aov() or
lme() in package nlme for each response variable separately, but since
most likely there are correlations among the 10
2011 Sep 09
1
Exception in NeweyWest - Pre-Whitening necessary?
Hi guyz,
I have run my algorithm in R (see http://pastebin.com/q84Tujfg) and got the following error:
Error in ar.ols(x, aic = aic, order.max = order.max, na.action = na.action, :
'order.max' must be < 'n.used'
I am pretty sure, that the error comes from the NeweyWest function in line 45, as the NeweyWest function uses the ar.ols() function for pre whitening. Does anyone
2011 May 02
2
Lasso with Categorical Variables
Hi! This is my first time posting. I've read the general rules and
guidelines, but please bear with me if I make some fatal error in
posting. Anyway, I have a continuous response and 29 predictors made
up of continuous variables and nominal and ordinal categorical
variables. I'd like to do lasso on these, but I get an error. The way
I am using "lars" doesn't allow for the
2006 Sep 30
1
autologistic model? - what package?
Dear all,
Could you pleas advise me on the following?
I need to use general(ized) linear models (binomial distribution + logit
link function) , to describe the preferred environment of each species (each
sample is an individual in which I have measured several variables and also
recorded the species it belongs to)
However, must account for the spatial autrefoocorrelation between
2006 Mar 11
1
Analyze Fmri package
Hi,
Can you please help me?
Whenever I try to run f.ica.fmri.gui(), R crashes.
In the GUI, I selected an *.img file and I checked the 'Create mask' box and
I typed a name for the object and then I press 'Start' button. Then in the
R Console window it said 'Reading...Whitening', but after the Whitening
message an error window popped up and then R crashed.
Did I do something
2002 Nov 26
1
floor curve question (whitening filter)
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<HEAD><META http-equiv=Content-Type content="text/html; charset=iso-8859-1"></HEAD>
<BODY bgColor=#ffffff><FONT face="verdana,arial" size="2">
Hi there,</P>
one step in the encoding process (if I got it right), would becomputing a "floor
2007 May 14
1
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2007 Feb 26
1
Partial whitening of time series?
I have a time series with a one year lag, ar=0.5. The series has some
interesting events that disappear when the series is whitened (i.e.,
fitting an AR process and looking at the residuals). I'd like to remove
the autocorrelation in stages to see the effect on the time series. Is
there a way to specify the autocorrelation term while fitting an AR
process?
For instance, given the following:
2009 Dec 14
1
as.data.frame requires a lot of memory (PR#14140)
Full_Name: Raimar Falke
Version: R version 2.10.0 (2009-10-26)
OS: Linux 2.6.27-16-generic #1 SMP Tue Dec 1 19:26:23 UTC 2009 x86_64 GNU/Linux
Submission from: (NULL) (134.102.222.56)
The construction of a data frame in the way shown below requires
much more memory than expected. If we assume a cell value takes 8 bytes
the total amount of the data is 128mb. However the process takes about
2014 Aug 11
1
[PATCH 1/2] rngd: add udev rule to source from hwrng if virtio-rng present
On Mon, Aug 11, 2014 at 12:45:27PM +0530, Amit Shah wrote:
>
> What's the suggested value for rng->quality, though, for virtio-rng
> that I can use to ensure the kthread starts?
>
> Should I use the 700 (70%) as proposed in the original patchset? I'm
> not exactly sure how that value will be used as well..
There is no such thing as a suggested value, every number
2014 Aug 11
1
[PATCH 1/2] rngd: add udev rule to source from hwrng if virtio-rng present
On Mon, Aug 11, 2014 at 12:45:27PM +0530, Amit Shah wrote:
>
> What's the suggested value for rng->quality, though, for virtio-rng
> that I can use to ensure the kthread starts?
>
> Should I use the 700 (70%) as proposed in the original patchset? I'm
> not exactly sure how that value will be used as well..
There is no such thing as a suggested value, every number
2015 Feb 24
2
intercalar elementos de vectores
Excelente! Ahora corre muy rápido. No conocía ese método, creo que me va a
resultar muy útil.
Muchas gracias y saludos.
Fernando Macedo
El 24/02/15 a las 10:51, Jorge I Velez escribió:
Fernando,
Podrias intentar
R> a <- rep('a', 5)
R> b <- rep('b', 5)
R> a
[1] "a" "a" "a" "a" "a"
R> b
[1] "b"
2013 Apr 23
0
adding the second regressor
Hi...Can anyone help me for adding the second regressor to the FMOLS
regresion. I am using the codes below. I could not succeed to write
the correct sentence in place of the question marks. Do I need to make any
changes in the source file also? I attached the original files published by
Bruce Hansen.
Thank you very much in advance for your precious help.
Best Regards,
Tarkan
source
2015 Feb 24
2
intercalar elementos de vectores
Gracias, Carlos.
Habia pensado en algo similar usando sapply():
sapply(seq(1, ncol(vtmp), by = 2), function(i) c(rbind(as.character(vtmp[,
i]), as.character(vtmp[, i+1]))))
Dependiendo de la dimension de los datos, quizas mapply() sea mas eficiente
que sapply().
Saludos cordiales,
Jorge.-
2015-02-25 1:01 GMT+11:00 Carlos Ortega <cof en qualityexcellence.es>:
> Hola,
>
> Este
2001 Feb 27
2
Cascading?
During the interesting interview that binaryfreedom has made with Monty
and Jack, Monty mentions cascading, a feature that will be added, quote:
"Cascading is the ability to make multiple passes through the frequency
spectrum, iteratively filling in more detail, like a progressive jpeg".
What are the advantages of something like this - does this generally
improves quality or is it used
2008 Mar 06
2
Help with parsing a data file
Hi All,
I need to parse data from a file, example shown below. The first two lines
can be skipped, the third line contains the column names. The next 13 lines
can be skipped. The next line "1991" is a year value, with the following 13
values data for that year. The file then repeats this format with (year, 13
lines of data for that year). I would ideally like to end up with an
2012 Mar 05
0
auto.arima and intervention analysis
Hello,
I'm currently using auto.arima to verify the order of my arima model. I
would like to use the model to conduct an intervention analysis. The problem
is that, when I include a step function in auto.arima, by including a binary
variable in "xreg", the arima order that auto.arima gives is different from
when I don't include it. From my understanding, the
2005 Feb 16
0
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