= data.frame)
Thanks,Kjetil Halvorsen
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backSpline(splines) Monotone Inverse Spline
isoreg(stats) Isotonic / Monotone Regression
so you should find something of use in packages mgvc, fda, ftnonpar, splines
or stats (.loaded by default)
Kjetil Halvorsen
Assaf P Oron wrote:
Hi all,
I'm looking for smooth monotone estimation packages
seem easier
to use that.
It is not totally automatic, but the example
library(mgcv)
example(mono.con)
has everything necessary to get started.
Kjetil Halvorsen
Eliyahu-Oron wrote:
Kjetil and Andy,
Thanks for your helpful answers! The first two (mgcv and fda) seem to be in
the direction I'm looking
?match
%in%
Kjetil Halvorsen
Anne wrote:
Hello R helpers!
I looked but did not find a table-lookup R-utility. I could use a loop to do the job
(old FORTRAN/C habits die hard) but if I have a big table in which I have to search
for the values corresponding to a vector, I end up logically
])
}
return(ans)
}
x1 - c(1,2,3,4,5)
x2 - c(1,3,2,4,5)
x3 - c(1,6,7,4,5)
mapply(function(...) ifelse(midentical(...),1,0),x1,x2,x3)
[1] 1 0 0 1 1
Kjetil Halvorsen
F Duan wrote:
Dear All,
I have a data frame with n columns: X1, X2, ., Xn. Now I want to create a
new column: if X1 = X2 = . = Xn
)x)
res is now numeric if x was successfully converted and is unchanged
if it was not. You can test res using is.numeric and take
appropriate action or you can put the action into the body of the
warning function such as having it return 0.
Also:
library(Hmisc)
example(all.is.numeric)
Kjetil
It does'nt really answer your question, but you could use
chisq.test(mytable, si=TRUE, B=2)
Kjetil Halvorsen
Ken Edwards wrote:
Hello,
I have an error message that doesn't seem to make sense in that having
read the R documentation I was under the impression that R was able to
grab as much
TRUE TRUE TRUE TRUE TRUE
[6,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[7,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[8,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[9,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
Kjetil Halvorsen
[ note that jj1-jj3 each have precisely 3 occurrences
look at packages
splines
mgcv
and a lot of others. To see how it is implemented, look a the references in
the help pages and the source code.
Kjetil Halvorsen
chuanjun zhang wrote:
Dear Friends,
Is there anybody know where I can get the code which implement the
smooth.spline function in R?
I have
Readers of this list might be interested in the following commenta about R.
In a recent report, by Michael N. Mitchell
http://www.ats.ucla.edu/stat/technicalreports/
says about R:
Perhaps the most notable exception to this discussion is R, a language for
statistical computing and graphics.
R
On 1/2/06, Thomas L Jones [EMAIL PROTECTED] wrote:
I have a dataset which I am trying to smooth, using locally weighted
regression. The y values are count data, integers with Poisson
distribution, and it is important for the regression function to know
this, since assuming a Gaussian
On 1/2/06, Stephen [EMAIL PROTECTED] wrote:
Hi All.,
Following on from all the help I received earlier ..
Just so as you know a well known text book (TF) uses repeated
observations
- I think perhaps they meant repeated measures in retrospect
I am a total beginer to ARIMA, but have read
On 12/30/05, Âíµ¤ [EMAIL PROTECTED] wrote:
Hello,
I am a new R user and I need R code for GLARMA.
I will be really thankful if you help me.
You should really spell out an acronym like GLARMA.
RSiteSearch(GLARMA) does't give anything. ou could have a look at
package sspir.
Kjetil
Yours
On 1/5/06, John Maindonald [EMAIL PROTECTED] wrote:
I've changed the heading because this really is another thread. I
think it inevitable that there will, in the course of time, be other
lists that are devoted, in some shape or form, to the concerns of
practitioners (at all levels) who are
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