, 7, 8, 9
> #5 e 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
> A.K.
>
>
>
> - Original Message -
> From: PIKAL Petr
> To: Jon Toledo ; "r-help@r-project.org"
>
> Cc:
> Sent: Tuesday, September 4, 2012 7:07 AM
> Subject
Hi dear R list members,
I am trying to create a numerical variable that tracks the visits/entries that
a subject has had. For example having a database of repeated serial
measurements that are ordered by subject and time. So I would get a variable
that says 0 for baseline visit/measurement, 1 f
2.0-11 foreign_0.8-44 survival_2.36-9 [11] nnet_7.3-1
MASS_7.3-13
loaded via a namespace (and not attached):[1] cluster_1.14.0 grid_2.13.1
lattice_0.19-30 tools_2.13.1
Thank you ver much
Jon Toledo
PostDoctoral Research FellowCNDR, UPenn Medical
I corrected some of my syntax and changed the the glmStepAIC for glm and ti
worked. I tried my command lines with the mdrr dataset (after doing the first
cleaning steps as referred in the manual), the only difference is that I only
took first two columns because it took too much time with one v
l(method = "cv", number = 10, classProbs =
TRUE,returnResamp = "all", verboseIter = FALSE)
glmFit <- train(Descr, Categ, method = "glmStepAIC",tuneLength = 4,trControl =
fitControl)
Thank you.
Best regards,
Jon Toledo, MD
Postdoctoral fellow
University of Penn
crossvalidated sets.
Thank you very much.
> CC: r-help@r-project.org
> From: dwinsem...@comcast.net
> To: tintin...@hotmail.com
> Subject: Re: [R] Predictions from a logistic regression model with validation
> for ROCR
> Date: Fri, 26 Aug 2011 14:35:37 -0400
>
>
> On Aug 26, 2
to predictors.
Thank you.
Best regards,
Jon Toledo, MD
Postdoctoral fellow
University of Pennsylvania School of Medicine
Center for Neurodegenerative Disease Research
3600 Spruce Street
3rd Floor Maloney Building
Philadelphia, Pa 19104
V2a V3a V1b V2b V3b TimeDifferenceDays2.42 72.4 3.75 2.46
55.4 4.44 6081.66 89.7 2.54 2.17 94.0 2.15 4192.45 112. 0.46 2.40 129.0 .42
7142.58 55.6 5.05 2.44 135.0 5.39 7212.61 332.0 22.6 3.55 238.0 16.4 729"
Data <- read.table(textConnection(txt), header = TRUE)
Thank yo
Hi,
I am looking for a way to study some phase data with a circular distribution
measured in rad.I would like to do a two way ANOVA (if possible mixed, with
inter and intrasubject).I haven´t found a package that does that in R?Does
sombeody know if there is one or how to do the analysis.Thanks
09:48:46 -0400
>
>
> On Mar 17, 2011, at 10:45 PM, Jon Toledo wrote:
>
> > I read it but it said PDF file and Ps, didn´t specify which other
> > files, so I attached a csv file, which I thought would work.
>
> The last time I read it, it said .pdf and .txt.
you did you didn't read it closely enough.
>
> --
> David.
> On Mar 17, 2011, at 4:11 PM, Jon Toledo wrote:
>
> >
> > I attach the data (csv format). There are the 3 coordinates, (but as
> > there are not so many points I wanted two do 3 analysis in each o
I attach the data (csv format). There are the 3 coordinates, (but as there are
not so many points I wanted two do 3 analysis in each of them collapsing one
variable).There are two variables to study I have posted the data as a ratio
between both states and as a percentage state between both sta
Dear R Users, R Core
Team,
I have a two dimensional space where I measure a numerical value in two
situations at different points. I have measured the change and I would like to
test if there are areas in this 2D-space where there is a different amount of
change (no change, increase, decrease).
Problem on flexmix when trying to apply signature developed in one model to a
new sample.
Dear
R Users, R Core Team,
I have a problem when trying to know the
classification of the tested cases using two variables with the function of
flexmix:
After importing the database and creating
a
I´ve several packages for latent class analysis, but I was wondering if there
is a package for continuos variables, which allows latent prfile analysis.
Thanks for your help in advance,
J Toledo
___
Y have only continuos quantitative data and when I trie the function I get next
message
> res<-clues(C,quiet=TRUE)
Error en ChooseK_sil(y, y2 = y, n0, alpha, eps, itmax, second, K2.vec, :
el objeto (list) no puede ser coercionado a 'double'
Last line would be the object could (list) not b
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