similar to: roc plot with zero length labels error

I am trying to use the quantcut function to create deciles, but I am getting the error below. I am new to using this function and do not know how to properly use the options or some other conversion that is necessary. #initial summary using describe function in Hmisc library DegreeBurn4th n missing unique Mean .05 .10 .25 .50 .75 .90 .95 76 133

I'm trying to pull data from multiple MS SQL Sever databse in R. I can access the databases one at a time, but the tables are to large to pull the entire tables then join then in R. So I need to do a SQL join that will join the tables from the each of the databases. How do I combine the connection so that I can implement it in my sql query below. I'm currently getting the following error:

hi all why does the following not work??? this was someone elses code and i couldnt explain why it doesn't work. m=matrix(c(0,0),2,1) v=matrix(c(1,0,0,1),2,2) Y=function(X1,X2,mu=m,V=v) { X=matrix(c(X1,X2),2,1) a=(1/((2*pi)*sqrt(det(V))))*exp((-0.5)*(t(X-mu)%*%solve(V)%*%(X-mu))) a[1] } x1=seq(-1,1) x2=x1 Z=outer(x1,x2,FUN="Y",mu=m,V=v) persp(x1,x2,Z) my code:

I have a large dataset that contain duplicate records. How do I identify and remove duplicate records? Chris Anderson 707.315.8486 www.sassydeals4u.com ____________________________________________________________ Free info for small business owners. Click here to find great products geared for your business.

I have a several character variables that I need to recode, but some of them have special characters like single quote or ( ). How tell R to ignore these special characters so I can rename them? Below is the error message I am getting. social$FamilySupport[social$FamilySupport=="Mr. XXXs' extended family live in the Nashville area where he and his wife reside."]<-"Highly

Hi Brian, Your underlying dataset for the ROC curve only has 4 unique values for specificity, even though there are 23 elements in the vector, hence the step function nature of the first plot. The default smoothing in the smooth() function is "binormal". You might try one of the other smoothing options to see the result and whether they make visual sense. In the absence of smoothing,

Dear users, does any one have a code (S or R) to compute the binormal distribution (or the upper its quadrant area) other than the pmvnorm. Thanks -- Nabil Channouf etudiant en Ph.D. Bureau 3733 Departement d'Informatique et de Recherche Operationnelle (D.I.R.O.) Universite de Montreal, C.P. 6128, succ. Centre-Ville, Montreal, H3C 3J7 Tel.: (514) 343-6111, poste 1796 Fax.: (514) 343-5834

I am new to R, and I need to do some simple data cleaning. In the example below I have 164 rows of data with a missing value. I want to convert these missing to unknown while keeping the other values as is. summary(ABIClinical$HasSkinBreakdown) no unknown yes 164 914 163 178 When I did the following code:

Is there a way to export multiple datasets into multiple excel spreadsheets using xlsReadWritePro or with xlsReadWrite? Chris Anderson 707.315.8486 www.sassydeals4u.com ____________________________________________________________ Turn any room into a work of art. Click now for beautiful oriental rugs!

I have a variable that identifies citizen type but some of my rows are blank. I want to replace the blank entries with the correct value which is conditional on another variable. In SAS, my conditional statement would be as follow: if citizenType="" and primarylanguage="English" then citizenType ="US citizen"; else citizenType=citizenType; When I try to duplicate this

Hi, Suppose I want to test a set of random numbers (using the Binormal random number generator), input the following command to generate a set of random numbers: test <- rbinom( 10000000, 1, 0.5 ) How can I, after obtaining the result, export the vector "test" into an text file? Then, suppose I want to do something like: > x <- 1e10 > x [1] 1e+10

I’m trying to export a file from R to excel using the xlsReadWritePro function and I keep getting the error below. I get the same error when I use the oledatetime function. My current date format is mm/dd/yyyy, which is how I want it in excel. Also is there anyway to export different datasets to multiple sheets similar to the ods function in SAS? <?xml:namespace prefix = o ns =

Hello everyone, I'm trying to use mle from package stats4 to fit a bi/multi-modal distribution to some data, but I have some problems with it. Here's what I'm doing (for a bimodal distribution): # Build some fake binormally distributed data, the procedure fails also with real data, so the problem isn't here data = c(rnorm(1000, 3, 0.5), rnorm(500, 5, 0.3)) # Just to check

Hi all, I'm intersted in draw confidence regions for two estimates that *are not* in the same GLM, but I know their point estimates c(a,b) and their covariance matrix V, say. Of course > V[1,2]==V[2,1] [1] TRUE Their joint distribution is not binormal (at least i don't know it), but I know (or I assume) their limiting distribution is Normal, so I can use the bivariate Wald statistics to

Hello. I have yet to receive a response to my previous post, so I may have done a poor job asking the question. So, here is the general question: how can I run a run a multivariate (more than one non-independent, response variables) ordered probit regression model? I've had success doing this in the univariate case using the vglm() function in the VGAM package. For example:

Dear all, I have a variable called thres and before I run a script I set it to a value like thres<- -10 at the end of the execution I am issuing a save(variablename,file='Results') which will end up with a file saved at the current directory with the name Results   I would like though to use thres value and do the followingg save at the directory called 10 so to get ./10/Results, (yes I

Hello R gurus, I have the code below for which i need help and pointers to make it run in parallel on a dual core win7 computer with R 2.13.x, using foreach, iterators,doMC. library(scatterplot3d) # Loads 3D library. library(fields) library(MASS) library(ROCR) library(verification) library(caret) library(gregmisc) ##simulated data d=replicate(9, rnorm(40)+10)

Hi I am trying to write up a transformation for the following code where instead of incrementing the loop variable by 1, I increment it by 2 ie. for (i=0; i < THRES; *i++*) { //do something } gets transformed to for (i=0; i < THRES; *i+=2*) { //do something } I am thinking of transforming the llvm bit-code in the following way. Iterate over the function for the original code till I

Malveeka, You can use the LoopInfo analysis to find the induction variable. http://llvm.org/docs/doxygen/html/classllvm_1_1Loop.html#a72bbf45d2e00971f56bf8cfe4e1df01c Cheers, Nadav From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Malveeka Tewari Sent: Thursday, May 05, 2011 14:51 To: llvmdev at cs.uiuc.edu Subject: [LLVMdev] Loop transformations

On May 5, 2011, at 5:11 AM, Rotem, Nadav wrote: > Malveeka, > > You can use the LoopInfo analysis to find the induction variable. > > http://llvm.org/docs/doxygen/html/classllvm_1_1Loop.html#a72bbf45d2e00971f56bf8cfe4e1df01c > > Cheers, > Nadav getCanonicalInductionVariable is a good example of finding IVs without iterating over instructions. But you may need to