Hi!
It seems the data file wasn't transmit. Please find a copy in attachment.
Best,
ge
On 11/19/2012 09:02 AM, Terry Therneau-2 [via R] wrote:
I can't reproduce the problem.
Tell us what version of R and what version of the survival package.
Create a reproducable example. I don't know if
Just curious, once you have a model that works well, does it make sense to then
tune it against 100% of the dataset (with known outcomes)
so you can apply it to data you wish to predict for or is that a bad approach?
I have done like is explained in this thread many times, taken a sample,
Why don't you try clicking on the Help link at the top of their site?
You can even google github for dummies to great success as well ...
-steve
On Mon, Nov 19, 2012 at 6:07 PM, Muhuri, Pradip (SAMHSA/CBHSQ)
pradip.muh...@samhsa.hhs.gov wrote:
Hello,
I would like to learn how to set up
Hi Rui, how are you?
I want to thank you for your assistance again.
I'm sorry, but the code that you provided for me did not work this time.
The code and the warning message are both below:
NSErr - t(matrix(NSEr)) # which is a 1x1000 double matrix
Vsim[] - Vsim[ , NSErr 0.6]
Warning
Not sure what I'm doing wrong. Can't seem to get loess values. It looks like
loess is returning the same values as the input.
j -loess(x1$total~as.numeric(index(x1)
plot(x1$total,type='l', ylab='M coms/y global',xlab='')
lines(loess(total~as.numeric(index(x1)),x1))
The plot statement works fine
You might want to check out the bootstrap package.
Also consider clarifying what you want to bootstrap ...mec or vec or what
Lastly, it is not clear what you mean when you say ...
and I have the next errors:
ro 12 = ro (mec,vec)
ro 34 = ro (alg,ana)
ro 35 = ro (alg,sta)
ro 45 = ro
Hello,
Your problem is not reproducible.
Regards,
Pascal
Le 20/11/2012 12:20, eric a écrit :
Not sure what I'm doing wrong. Can't seem to get loess values. It looks like
loess is returning the same values as the input.
j -loess(x1$total~as.numeric(index(x1)
plot(x1$total,type='l', ylab='M
In your case j$y are the original Y values (response), not the fitted
values. Try
plot(j$x,fitted(j))
On 19-Nov-12, at 7:20 PM, eric wrote:
Not sure what I'm doing wrong. Can't seem to get loess values. It
looks like
loess is returning the same values as the input.
j
On 11/19/2012 04:21 PM, Andrea Spano wrote:
Hello the list,
As a simple example:
rm(list = ls()) setClass(tre, representation(x=numeric)) setMethod(show, tre, def = function(object) cat(object@x))[1] show
setMethod(summary, tre, def = function(object) cat(This is a tre of value , object@x,
Try using the lm function:
?lm
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go...
No.
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#..
You can use ave(), like this:
ke$maxa - ave(ke$a, as.factor(ke$patid), FUN=max)
greetings,
remko
--
View this message in context:
http://r.789695.n4.nabble.com/manipulating-longitudinal-data-in-r-tp4649855p4650138.html
Sent from the R help mailing list archive at Nabble.com.
But ...
On Mon, Nov 19, 2012 at 9:23 PM, Jeff Newmiller
jdnew...@dcn.davis.ca.us wrote:
Try using the lm function:
... Better yet, post to a statistics list, like
stats.stackexchange.com, as the questions appear primarily
statistical, and not R related.
Incidentally, loess() is specifically
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