similar to: calibration plot

Hi, I have a binary variable and many explanatory variables and I want to use the package "nnet" to model these data, (instead of logistic regression). I want to find the more effective variables (inputs to the network) in the neural network model. how can I do this? thanks. [[alternative HTML version deleted]]

On Sat, Feb 1, 2014 at 1:16 PM, Alexandre Courbot <acourbot at nvidia.com> wrote: > GK20A's timer is directly attached to the system timer and cannot be > calibrated. Skip the calibration phase on that chip since the > corresponding registers do not exist. Just a curiosity: What timer resolution does the HW initialise at? > > Signed-off-by: Alexandre Courbot <acourbot

On Mon, Mar 24, 2014 at 05:42:24PM +0900, Alexandre Courbot wrote: > GK20A's timer is directly attached to the system timer and cannot be > calibrated. Skip the calibration phase on that chip since the > corresponding registers do not exist. > > Signed-off-by: Alexandre Courbot <acourbot at nvidia.com> > --- > drivers/gpu/drm/nouveau/core/subdev/timer/nv04.c | 19

On Wed, Mar 26, 2014 at 1:19 PM, Ben Skeggs <skeggsb at gmail.com> wrote: > On Tue, Mar 25, 2014 at 7:54 AM, Thierry Reding > <thierry.reding at gmail.com> wrote: >> On Mon, Mar 24, 2014 at 05:42:24PM +0900, Alexandre Courbot wrote: >>> GK20A's timer is directly attached to the system timer and cannot be >>> calibrated. Skip the calibration phase on

Good afternoon! I need to evaluate the goodness-of-fit (aka calibration) for survival probability estimates from a Cox model. I tried to use 'calibrate' in the Design package but I'm not sure if it should/would produce what I need (ie a chi-sq type statistic with a table of expected vs observed probabilities). Any other functions I should be aware of? Also, has anybody come across

On 04/11/2014 04:31 PM, Ben Skeggs wrote: > On Fri, Apr 11, 2014 at 12:46 PM, Alexandre Courbot <gnurou at gmail.com> wrote: >> On Wed, Mar 26, 2014 at 1:19 PM, Ben Skeggs <skeggsb at gmail.com> wrote: >>> On Tue, Mar 25, 2014 at 7:54 AM, Thierry Reding >>> <thierry.reding at gmail.com> wrote: >>>> On Mon, Mar 24, 2014 at 05:42:24PM +0900,

I have been working on fitting Cox model for prediction by using rms package. I want to measure model's calibartion and discrimination. Discrimination was measured by using validate() in rms, Dxy can be transferred to Harrell's c index. But in this way, I cannot get 95%CI of c index. How can I do this in R? And by the way, what value should be in c index to present the model's well?

Hi R-users, can anyone explain me how to play around with the options of the bootstrap calibration curve obtained using the calibrate() function in Design package? I am trying to colour the diagonal, i.e. the ideal curve, in red, and also hide the bias-corrected curve. Thanks, Dave _________________________________________________________________ Show them the way! Add maps and directions to

Hi, the calibrate.cph() function in rms package generate calibration curve for Cox model on the same dataset where the model was derived using bootstrapping or cross-validation. If I have the model built on dataset 1, and now I want to produce a calibration curve for this model on an independent dataset 2, how can I do that? Thanks John [[alternative HTML version deleted]]

Dear all, when i do the calibration plot, i put the x label y label , there is some labels are i did not put it , like "resample optimism added ..." i want to get rid of the these label , is any body know how can i get rid of these label. these are the following command i used cal <- calibrate(f, u=12, method=c("boot"), B=100,m=70, data=a1)

Hello, I am not entirely sure the subject line captures what I am trying to do, but hopefully this description of the problem will help folks to see my challenge and hopefully offer constructive assistance. I have an experimental setup where I measure the decrease in oxygen in small vials as an organism, such as an oyster, consumes the oxygen. Each vial is calibrated before the experiment and

Hi, I created a logistic regression model using the glmnet package. This model is of class "glmnet" or "lognet". I wanted to plot a calibration curve for this model using the calibrate() function from rms package, but the objects used are different, rms requires a fit from lrm(). Is there another function for getting the calibration plot for this glmnet object, or can anyone

Hi R experts, I am trying to do a prognostic model validation study, using cancer survival data. There are 2 data sets - 1500 cases used to develop a nomogram, and another of 800 cases used as an independent validation cohort. I have validated the nomogram in the original data (easy with the Design tools), and then want to show that it also has good results with the independent data using 60

I wonder if anyone out there has written a routine to solve the simple linear calibration problem? - fit regression of y vs x - estimate the value x0 (with 95% CI) that gives y0 Thanks for any help. Bill -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

I'm looking to buy some new UPSs and am thinking of parting ways with APC to explore other brands. Can anyone suggest another brand that handles doing calibration runs (or maybe another brand doesn't need them) that I can automate with NUT? Thanks, -Ben

Hello! I'm having an echo problem with a TDM card. The TDM card is being fed by a channel bank just 12 or so feet away. When you put an analog handset on the line, both the RX and TX volume seem to be just fine. However, when I use the TDM card, I have to have an rxgain of 13.5, and even then, the audio is relatively quiet. I'm also getting echo on these lines, so I have turned

Hello, I am using an APC UPS (Smart-UPS 2200 RM) to secure my SAN. The SAN runs on FreeBSD 9.1-RELEASE-p5 and is using NUT 2.6.5 version 2. Since the UPS has also a Network card AP9630 I am using the snmp-ups driver to connect the SAN to the UPS for signaling. Last week I need to change the battery pack and then I needed to perform a runtime calibration. I used the web interface of the AP9630

Hola a todos, Estoy iniciandome en R y la verdad es que aun estoy muy muy verde.... Estoy intentando clasificar unos datos con support vector machines, pero me da fallo al usar la funcion predict. El código que uso es el siguiente: calibrate<-read.table("calibration.txt", header=TRUE) calibrate$calibration<-as.factor(calibrate$calibration)

Hi! How can I exclude the legends from calibration plots  generated by calibrate.cph regards, Salvo [[alternative HTML version deleted]]

Hola de nuevo, Esta es la información de mi sesion: R version 2.10.1 (2009-12-14) i386-pc-mingw32 locale: [1] LC_COLLATE=Spanish_Spain.1252 LC_CTYPE=Spanish_Spain.1252 [3] LC_MONETARY=Spanish_Spain.1252 LC_NUMERIC=C [5] LC_TIME=Spanish_Spain.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base Lo que yo prentendo es