similar to: passing field name parameter to function

Hi, I am passing a data frame and field name to a function. I've figured out how I can create the formula based on the passed in field name, but I'm struggling to create a vector based in that field. for example if I hard code with the actual field name Y = df$Target, everything works fine. but if I use the passed in parameter name, it doesn't give me what I want, Y = df$mytarget

Hallo, I modified a code given by Andrija, a contributor in the list  to achieve two objectives: create 1000 samples from a list of 207 samples with each of the samples cointaining 20 good and 20 bad. THis i have achievedcalcuate AUC each of the 1000 samples, this i get an error. Please see the code below and assist me. > data<-data.frame(id=1:(165+42),main_samp$SCORE,

Philipp Benner reported a Debian bug report against r-cran-rpart aka rpart. In short, the issue has to do with how rpart evaluates a formula and supporting arguments, in particular 'weights'. A simple contrived example is ----------------------------------------------------------------------------- library(rpart) ## using data from help(rpart), set up simple example myformula <-

I am doing a simulation with a relatively large data set (20,000 observations) for which I want to calculate the area under the Receiver Operator Curve (AUC) for many parameter combinations. I am using the ROC library and the following commands to generate each AUC: rocobj=rocdemo.sca(truth = ymis, data = model$fitted.values, rule = dxrule.sca) #generation of observed ROC object

Dear All, I have a question about formulas and model.matrix(). If one specifies a model via a formula, the corresponding design matrix can be obtained with the model.matrix() function. For example: x1 <- c(1,4,2,3,5) x2 <- c(1,1,2,2,2) myformula <- ~ x1 + factor(x2) model.matrix(myformula) My question is: If an intercept term is in the model (like in the example above), is it always

Hi everyone, Can someone please help me in these questions?: 1)if I use crossvalidation with svm, do I have to use this equation to calculate RMSE?: mymodel <- svm(myformula,data=mydata,cross=10) sqrt(mean(mymodel$MSE)) But if I don’t use crossvalidation, I have to use the following to calculate RMSE: mymodel <- svm(myformula,data=mydata) mytest

Hi! I started writing a LLVM backend for a custom architecture. I have some register and instruction .td files and some other files/classes like a MCStreamer for assembler output. At the moment I can compile some empty programs so far. I implemented the method ::eliminateFrameIndex() similar to the Sparc and ARM backend. The method looks like this: // frame pointer is in reg of class

Hi, Could you please tell me how I correct the following error message? “Error in object$tables[[v]] : subscript out of bounds” This is the code: library(e1071) data(iris) attach(iris) class_label <- names(iris)[1] myformula <- formula(paste(class_label,"~ .")) mymodel<-naiveBayes(myformula, iris,cross=3) predict(mymodel,iris) ##Error in object$tables[[v]] :

In S3 if you are passing an evaluated formula to another function that will store it and use it in printing (such as a model-fitting function), you usually want to unclass the formula. Otherwise, the formula that gets stored looks very ugly when printed. A trick to do the unclassing is to pass form = c( myFormula ) In R this has the effect of making form a list rather than a call. It seems

Hello! I am trying to create a formula object using as.formula. But it's not working: examplephraze<-"for.my.example" myformula<-as.formula(paste(examplephraze,"~group, sum, data=mydata",sep="")) What's the problem? Thanks a lot! -- Dimitri Liakhovitski Ninah Consulting www.ninah.com

I am working on implementing a new target for llvm. So far (to make debugging easier), I was compiling a C code into 2 steps: 1) generate the llvm file: clang -ccc-host-triple mytarget -emit-llvm -S myfile.c -o myfile.ll 2) generate the assembly file using llc -march=mytarget myfile.ll Sometimes, I add some verbosity for the 2nd command like "-print-after-all". Now, I'd like to

Hi, Is there a way to see what the default argument llc takes from clang/clang++ ? I'm debugging my backend with a very simple c++ program. Running through *clang++ -target myTarget -S simple.cpp -o simple.s * (bug does no show up) gives me different results from *clang++ -target myTarget -S -emit-llvm -o simple.cpp -o simple.ll* *llc simple.ll -o simple.s *(bug shows up) Just trying to

I am wanting to create a model matrix and keep the NAs. stratmat <- model.matrix(myformula,mydata) Is there any way to do this? model.matrix doesn't have na.action as a parameter. Elsewhere I have made use of na.keep <- function(x){x}. Many thanks, Rachel Cunliffe -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I'm trying to create a simplified 2 slot VLIW from an OR1K. The codebase I'm working with is here <https://github.com/openrisc/llvm-or1k>. I've created an initial MyTargetSchedule.td def MyTargetModel : SchedMachineModel { // HW can decode 2 instructions per cycle. let IssueWidth = 2; let LoadLatency = 4; let MispredictPenalty = 16; // This flag is set to allow the

Hi, I was lately debugging parts of my 'colAUC' function in caTools package, and in a process looked into other packages for calculating Areas Under ROC Curves (AUC). To my surprise I found at least 6 other functions: * wilcox.test * AUC from ROC package, * performance from ROCR package, * auROC from limma package, * ROC from Epi package, * roc.area from verification

Hello, Given a TargetRegisterClass *RC, I was wondering if there is a way to find out what register class it is directly, instead of comparing it against all the &mytarget::Class1, &mytarget::Class2 etc. This goes back to my original intention of having special query functions for a subset of register classes. Suppose I wanted vector register classes (more than one, say 2-elements and

On Feb 16, 2011, at 11:08 AM, Damien Vincent wrote: > I am working on implementing a new target for llvm. > So far (to make debugging easier), I was compiling a C code into 2 steps: > 1) generate the llvm file: > clang -ccc-host-triple mytarget -emit-llvm -S myfile.c -o myfile.ll > 2) generate the assembly file using > llc -march=mytarget myfile.ll > > Sometimes, I add

On Fri, 18 Aug 2023 at 15:25, Stuart Longland VK4MSL <me at vk4msl.com> wrote: [...] > The crux of this is that we cannot assume the local IPv4 address is > unique, since it's not (and in many cases, not even static). If the IP address is not significant, you can tell ssh to not record them ("CheckHostIP no"). [...] > Host mytarget > Hostname 172.16.1.2

I try to define a register class def GPR64 : RegisterClass<"mytarget", [i64], 64, [T0, T1.....] to simulate even/odd pair of GPR32 register. Actually, I just use GPR64 as a temporary register. My CPU just support i32 Integer type directly. I use FDR to save f64. def FDR : RegisterClass<"mytarget", [f64], 64,[FD0, FD1, ....] When I move f64 to even/odd pair register, I

Dear Evan Chang: I register incorrect Register class for MVT::f64. I have fixed it. Thanks your advice. "-view-legalize-dags" is very good option. But I don't know why my LLC do not know " -view-legalize-type-dags" option. By the way, I use llvm 2.5 merged from llvm2.4. Best Regards, Ren Kun --- 09年3月31日，周二, Evan Cheng <echeng at apple.com> 写道： 发件人: Evan Cheng