similar to: test

Hello everybody, I'm new to MCMClogit. I'm trying to use MCMClogit to fit a logistic regression model but I got some warnings I can't understand. My input data X is 32(tissue sample)*20(genes) matrix, each element in this matrix corresponds to the expression value of one particular gene in one of 32 samples. And the Y presents the corresponding classes (0-non cancer, 1-cancer)

Dear All, When I plot the values and linear regression line for one data set, it is fine. But for another one I see zigzags, when I plot the confidence interval >cd Depth CHAOsep12RNA 9,94 804 25,06 1476,833333 40,04 1540,561404 50,11 1575,166667 52,46 349,222222 54,92 1941,5 57,29 1053,507042 60,11 1535,1 70,04 2244,963303 79,97 1954,507042 100,31 2679,140625 >

Dear all, I am trying to use the logistic regression with MCMClogit (package: MCMCpack/Coda) and I want to put a beta prior on the parameters, but it's giving me error message (please see output below) no matter what shape 1 or 2 I use. It works perfect with the cauchy or normal priors. Do you know if there is a catch there somewhere? Thanks logpriorfun <- function(beta,shape1,shape2){

Deal all, as MCMClogit does not allow for the specification of several chains, I have run my model 3 times with different random number seeds and differently dispersed multivariate normal priors. For example: res1 = MCMClogit(y~x,b0=0,B0=0.001,data=mydat, burnin=500, mcmc=5500, seed=1234, thin=5) res2 = MCMClogit(y~x,b0=1,B0=0.01,data=mydat, burnin=500, mcmc=5500, seed=5678, thin=5) res3 =

Why is class(spectrum[["Ion"]]) after this "factor"? spectrum <- cbind(spectrum,Ion=rep("", nrow(spectrum)),Deviation.AMU=rep(0.0, nrow(spectrum))) slowly going crazy ... Joh

First off, Ezra, thank you for putting out BackgrounDrb. Looks like a very useful framework. I have a newbie question about ruby threads. Are there any general things to avoid doing when using ruby threads and rails? Also specifically, will using BackgrounDrb avoid the socket problem described in this link (extracted from Rails wiki):

I have about 5000 distinct shares defined in my smb.conf file. As you can imagine it's quite large. Everyone once in awhile all the smbd daemons ( in top ) go to a run state and pretty much bring the system to a halt. The system is WAY oversized. 99.999% of the day samba runs fine. We _THINK_ we've narrowed down the times when the smbd processes go crazy to a time when we're

Hi Folks, We''re moving from a single lighttpd-hosted Rails box to a Apache/ mongrel cluster. In lighttpd, mod_compress had a very nice feature: if there''s a static file, it would compress it in a user-specified compress folder. If the file hasn''t changed, it would just serve out the compress file; if the file has changed, it would recompress it and serve it out.

Hi everyone: I am just wondering how can I use weights with MCMClogit function (in MCMCpack package). For example, in case of glm function as given below, there is weights option in the arguments. Aparently there is no option of using weights in MCMClogit. glm(formula, family = gaussian, data, weights, subset, na.action, start = NULL, etastart, mustart, offset, control =

I need to correct myself. It is possible to cross compile it on Windows, but not using the provided build systems. On Sun, Mar 29, 2015 at 12:52 PM, Daniel Dilts <diltsman at gmail.com> wrote: > I asked about this same question in the past (month or three ago). It is > not possible to cross compile compiler-rt on Windows. If you want to cross > compile you should use the make

2015-03-12 10:49 GMT-05:00 Jonathan Roelofs <jonathan at codesourcery.com>: > You need to build a sysroot from the lib and include directories in > ~/research/musl-1.1.6 combined with the same folders from > /usr/local/arm-2009q, then use `--sysroot` instead of the `-I`s and `-L's. I copied everything from the lib in musl-1.1.6 to

To anyone who can help me: I found that the function "smooth.ppp" in the package "spatstat" provides the kernel estimate for the intensity function of a "two-dimensional" point process with marks. Does anyone know that which package can do this for simply a "one- dimensional" point process with marks? I've been searching all over the R site but still

Dear All, I am wondering is there any shift (or pop or push or unshift) equivalent in R? For example, shift(x) # should return x[1], and x becomes x[-1] Thanks a lot. Best Regards, Xie Chao

Hi Folks, I'm running rsync between an NT client and a Solaris 7 Server (Ver 2.4.6). I'd like to be able to exclude the following directory: /opt/IBMHTTPDLOG/archivelogs but retrieve /opt/IBMHTTPDLOG My setup is: rsync -av -p -e rsync@server1.cna.com:/opt/IBMHTTPDLOG/ F:/opt/IBMHTTDLOG (client) rsync --daemon --exclude-from=/etc/rsync.exclude (server) What I get is

Hi, all There are 62 samples in my data and I tested 3 times for each one, then I want to use ICC(intraclass correlation) from irr package to test the consistency among the tests. *combatexpdata_p[1:62] is the first text results and combatexpdata_p[63:124] * is the second one and *combatexpdata_p[125:186]* is the third. Here is the result:

Hi, I''m new to this mailing list, so first off, a big THANK YOU for the script.aculo.us and prototype.js libraries. I''m trying to integrate script.aculo.us into an existing pretty large Javascript codebase (see http://openrecord.org). I''m running into a problem with prototype.js and the existing codebase''s use of for/in loops over an Array.

2015-03-29 3:33 GMT-05:00 Ed Schouten <ed at 80386.nl>: > I am cross-compiling compiler-rt for my specific use-case. That said, > I'm cross-compiling from x86-64 to x86-64, but for a different ABI. > This is what I use: > > > https://github.com/NuxiNL/cloudlibc/wiki/Building-runtime-libraries#user-content-compiler-rt > > -DCMAKE_CROSSCOMPILING=True > > As

I have to provision several dozen * users to a seperate building on our campus in the same subnet. Ordinarily, I'd just run a gigabit cat6 cable to another switch if it doesn't violate the 100 metre rule, but this building is several hundred metres away from my backbone. My only option for cabling to the remote building is copper. My plan is to provision them with a Linux bridge with 4

Hi, I have a dataset with the binary outcome Y(0,1) and 4 covariates (X1,X@,X#,X$). I am trying to use MCMClogit to model logistic regression using MCMC. I am getting an error where it doesnt identify the covariates ,although its reading in correctly. The dataset is a sample of actual dataset. Below is my code: > ####################### > > > #retreive data > # considering four

Hi,all I wrote a C function and now I want to plug in this in R. I know how to do this in Unix version R by typing something like "R CMD SHLIB foo.c" to compile this C code. Then I can load it by using dyn.load. But I don't know how to do it in a windows version R. Anyone can help me out here? I really appreciate. Thanks a lot! Chao