similar to: calibration/validation sets

First, many thanks to Frank Harrell for once again helping me out. This actually relates to the next point, which is my contribution to the 'why don't social scientists use R' discussion. I am a hybrid social scientist(child psychiatrist) who trained on SPSS. Many of my difficulties in coming to terms with R have been to do with trying to apply the logic underlying SPSS, with dire

Dear R-users A basic question that I wasn't able to solve: Is it possible to get the results of the function 'quantile' expressed as data.frame? What I'm doing is to apply the following code to get the quantiles in a particular dataset: tmp<-tapply(data$DEN,list(Age=data$AGE,Sex=data$SEX),quantile) and then I save this output to HTML using the

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

Hi, I have a binary variable and corresponding predicted probability (using logistic regression on some explanatoey variables); I want to check that the model is well-calibrated using a calibration plot. how can I have the calibration plot for my data? thanks. [[alternative HTML version deleted]]

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

Dear R users, I am a new R user and something stops me when I try to write a academic article. I want to make a nomogram to predict the risk of prostate cancer (PCa) using several factors which have been selected from the Logistic regression run under the SPSS. Always, a calibration plot is needed to validate the prediction accuracy of the nomogram. However, I tried many times and read a lot of

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 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]]

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

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

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

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 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

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)

Dear experts: I am a newbie to R. Recently, I try to make prediction models with R and the Design library. I have read Prof. Harrell's excellent book. But I did not quite understand. I have two problems about the validation and calibration of prediction models: 1. Can someone explain the results outputted by the validate() function? How to get 95% of c-value of validate? 2. How to add 95% ci

I have done the usual estimation of GARCH models, applied to my historical dataset (commodities futures) with a maximum likelihood function and selected the best model on the basis of information criteria such as Akaike and Bayes. Can somebody explain me please the calibration scheme for a GARCH model? I was not able to find a paper, dealing with exactly this algorithm for my case. I only

Dear All, I have downloaded CentOS 7.2.1511 DVD and tried to install it on a new laptop that comes with an Intel i7 6th generation processor and don't matter which option I use (install, test media or troubleshooting); I get the following error: [ 0.000000] tsc: Fast TSC calibration failed [ 0.321345] pnp 00:0d: can't evaluate _CRS: 1 At this time I am not able to use any keys on the

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,