similar to: Nagelkerkes R2N

Hello All, as I?m new to R and survival analysis, I?ve got a question about the Design::validate function: My Code: cox <- cph(Surv(t,status) ~ var1 + var2 + var3, data=data, x=TRUE, y=TRUE, surv=TRUE) cox.val <- validate(cox, B=10, dxy=TRUE, pr=TRUE); My output (cox.val): index.orig training test Dxy -0.3639222921368090891

Does anyone know an alternate way of calculating R2n with spatial data other than converting values into ltraj format (adehabitat package)? I have a series of geographic xy coordinates (in metres). I imagine I can subtract x1y1 from x2y2 to get the spatial difference (dxdy), but what function can I use to calculate R2n (i.e. net squared displacement) using this information? Tyler -- View

Hello! One month ago I created a patch and submitted it to the Debian `bridge-utils' package's tracker: <http://bugs.debian.org/405215>. I thought it may be helpful for others to know about it and wanted to inform you this way, as the `bridge-utils' maintainers didn't make any attempts so far to comment on it or even include it. I use it this way: dom0's

Dear List, I have very little experience with lists and am having some very basic problems. I don't know how to add columns to the lower levels of a list, or how to take something from the upper level and add it as a column to the lower level. I am analyzing animal movement data in the package Adehabitat. I have a list of animal movements called "cut.ltr" (class ltraj) that have

Dear R community. I´m working with a generalized linear model which the response variable is a categorical one and the predictive variables are weather conditions. I have 250 different places where I need to fit the model. In some of these places I have strong correlations between some of the variables so I need to deal with this problem. I found a work similar than mine where they use tha

Hello I found some small postings dated to 22 Oct 2008 on the message subject. Recently, I have been working with binary logistic regressions. I didn't use the design package. Yet, I needed the "fit" indices. Therefore, I wrote a small function to output the Nagelkerke's R, and the Cox-&-Snell R from a fitted model. I am no professional programmer by far, yet, I hope, that

Hi there, I really tried hard to understand and find my own solution, but now I think I have to ask for your help. I already developed some script code for my problem but I doubt that it is correct. I have the following problem: Image you develop a logistic regression model with a binary outcome Y (0/1) with possible preditors (X1,X2,X3......). The development of the final model would be

hello dear list! since we want to do a model analysis and some people would like to see pseudo-R^2 values for different types of glm of a logistic regression, i've decided to write a function that computes either nagelkerkes normed pseudo-R or cox & snells pseudo-R. however, i am not clear as in the decisive step, i need to calculate the log of (maximum likelihood estimates of model

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++