1. Are you familiar with the zoo package and vignette (as described,
e.g., in
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/60217.html)?
2. If yes and if you would like further help from this listserve,
PLEASE do read the posting guide "www.R-project.org/posting-guide.htm
> 1) Can someone recommend an equivalent to SAS PROC Standardize in R? I
> am in need to frequently standardize a data frame, with z-scores, or
> squash to 0-1 scale - is there a slick function or package someone can
> recommend?
You could try rescaler in the reshape package. It currently suppor
Hi,
I'm working on producing a simple cumulative frequency
distribution.
Thanks to the help of the good people on this list I
now have four vectors that I'd like to join/relate
into a table. e.g.
v1 <- myHistogram$breaks # classes
v2 <- myHistogram$counts # freqs
v3 <- c
On 8/13/06, Michael Zatorsky <[EMAIL PROTECTED]> wrote:
> I'm working on producing a simple cumulative frequency
> distribution.
>
> Thanks to the help of the good people on this list I
> now have four vectors that I'd like to join/relate
> into a table. e.g.
>
>
> v1 <- myHistogram$breaks
I receive R-help messages in digest form that makes it difficult to
answer a post. I noticed that my answer is not added to the thread
(instead, a new thread is started) although I use the same subject line
(starting with "Re: ") as the original post. Is there a solution (I
prefer the digest to
On 13-Aug-06 Dirk Enzmann wrote:
> I receive R-help messages in digest form that makes it
> difficult to answer a post. I noticed that my answer is
> not added to the thread (instead, a new thread is started)
> although I use the same subject line (starting with "Re: ")
> as the original post. Is t
I have a dataframe where I would like to order first
by variable, year, and then within that variable by
month.
So far the only way that I have seen to do this is to
order by year and then subset year and sort by month
and then do an rbind to get things back together.
Is this the right approac
Dirk Enzmann uni-hamburg.de> writes:
>
> I receive R-help messages in digest form that makes it difficult to
> answer a post. I noticed that my answer is not added to the thread
> (instead, a new thread is started) although I use the same subject line
> (starting with "Re: ") as the original
John Kane yahoo.ca> writes:
>
> I have a dataframe where I would like to order first
> by variable, year, and then within that variable by
> month.
http://www.ats.ucla.edu/STAT/r/faq/sort.htm
and
http://wiki.r-project.org/rwiki/doku.php?id=misc:rtips-status
Dieter
_
try the following:
mdf <- data.frame(us.state, count, year, month)
mdf[order(mdf$year, mdf$month), ]
I hope it helps.
Best,
Dimitris
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
T
Have you considered the 'nlme' package, well documented in Pinheiro
and Bates (2000) Mixed-Effects Models in S and S-Plus (Springer)?
Hope this helps.
Spencer Graves
souvik banerjee wrote:
> Hi
> Is there any way to fit a bivaraite longitudinal mixed model using R.
Hello,
How do I split a y-axis to plot data on different scales?
Eg:
x <- 1:10
y <- c(-0.01,0.79,0.74,0.55,-0.67,0.32,-0.47,-0.05,723,759)
plot(x,y)
I'd like to show these data on the same plot, but the way it's written, all
contrast in the first 8 data points is lost. Can R split a y-axis for
> How do I split a y-axis to plot data on different scales?
The short answer: you shouldn't. The whole point of plotting the data
is so that you can compare them visually on the same scale. As soon
as you split the scales you can no longer do this, and you effectively
have two separate graphs.
Greetings folks:
Stepped away from a win/lin dual boot system and spent the better part of the
past week resetting a windows only arrangement.
Before the switch I was running 2.3.1 without any strange behaviours. When I
reached the point of putting it back on the machine I would get this puzzli
On Sun, 13 Aug 2006, Brian Lunergan wrote:
> Greetings folks:
>
> Stepped away from a win/lin dual boot system and spent the better part of the
> past week resetting a windows only arrangement.
>
> Before the switch I was running 2.3.1 without any strange behaviours. When I
> reached the point of
--- Rashmi Mathur <[EMAIL PROTECTED]> wrote:
> Hello,
>
> How do I split a y-axis to plot data on different
> scales?
>
> Eg:
>
> x <- 1:10
> y <-
>
c(-0.01,0.79,0.74,0.55,-0.67,0.32,-0.47,-0.05,723,759)
> plot(x,y)
>
> I'd like to show these data on the same plot, but
> the way it's written,
On Sun, 13 Aug 2006, Brian Lunergan wrote:
> Greetings folks:
>
> Stepped away from a win/lin dual boot system and spent the better part
> of the past week resetting a windows only arrangement.
>
> Before the switch I was running 2.3.1 without any strange behaviours.
> When I reached the point
The source of the problem is that lmeSplines requires a set of iid random
effects corresponding to a transformed smoothing spline basis (`pdIdent'
structure in nlme) i.e. pdIdent(~Zs -1), where Zs is the transformed set of
spline basis functions. Kevin's model does not work because each of his
I'm interested in clustering my data using the Gower Similarity Coefficient,
and I was wondering if R is capable of using that metric
Timothy Rye
[[alternative HTML version deleted]]
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch
Ok, I had a look at it. It seems like awefully far to dig for the main point
which is easily
summarized in a few sentences.
If we super-impose the pre-image and image spaces (plot the input and output in
the same
picture), then in 1 dimension, a linear function, say 'a x', takes its input,
x,
> Date: Thu, 10 Aug 2006 14:34:27 -0400
> From: "Swidan, Firas" <[EMAIL PROTECTED]>
>
> Hi Patrick,
>
> Thanks for the help. The function I listed is just an example. I isolated
> and kept only the problematic part in my code for clarity sake. I ended up
> implementing the functionality in C and
Hi: I have a large data set that I'm testing and I'm finding that
preplot.gam is taking a very long amount of time to compute (like, more
than 20 minutes). My machine is 32-bit, Debian unstable, 4GB memory,
dual Xeon 3GHz. While the data set is very large, the gam() procedure is
able to compute
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