search for: cont2

Hello, useR:, Suppose I have two plots made by using contour() function, say Cont1 and Cont2 respectively. They have slightly difference because of the two slightly different data I used. I want to see the difference between them so I want to plot Cont2 on Cont1, are there any methods to plot it without filling the frame of Cont1 totally of Cont2. I mean, how I can integreate the two p...

*I am sorry for making you confused when I presented my problem.* *1. My steps for the test suit building:* (1) cd /home/qali/Src; * // This is my source directory for all application programs* (2) tar xzf llvm-2.8.tgz; * // now, the top directory of source tree is /home/qali/llvm-2.8* (3) cd llvm-2.8/projects (4) svn co http://llvm.org/svn/llvm-project/test-suite/trunk

...call void @llvm.eh.setehstate(i32 1) call void @llvm.eh.setehstate(i32 2) invoke void @_ZN5InnerC1Ev(%class.Inner* %inner) to label %invoke.cont1 unwind label %lpad invoke.cont.1: call void @llvm.eh.setehstate(i32 3) invoke void @_Z14do_inner_thingv() to label %invoke.cont2 unwind label %lpad invoke.cont2: call void @llvm.eh.setehstate(i32 2) invoke void @_ZN5InnerD1Ev(%class.Inner* %inner) to label %invoke.cont3 unwind label %lpad invoke.cont3: call void @llvm.eh.setehstate(i32 1) invoke void @_ZN5OuterD1Ev(%class.Outer* %outer) to label...

All, I have been reading Dr. Harrell's excellent "Regression Modeling Strategies" book and trying out the exercises. I understand that contrast( ) is used to obtain contrasts between two variables for given levels of other nuisance variables; is there a way to use contrast( ) to obtain, for example, Scheffe confidence intervals / hypothesis tests for many post hoc contrasts at

It appears to be legitimate to include multi-level categorical and continuous variables in defining the model for earth (e.g. y ~ cat + cont1 + cont2) but is it also then possible use categoricals in the predict method using the earth result? I tried but it returns an error which is not very informative. Thanks Chris

On Fri, May 15, 2015 at 5:27 PM, Kaylor, Andrew <andrew.kaylor at intel.com> wrote: > I like the way this sorts out with regard to funclet code generation. > It feels very natural for Windows EH, though obviously not as natural for > non-Windows targets and I think it is likely to block some optimizations > that are currently possible with those targets. > Right, it will

...; preds = %entry %0 = load i32** %i.addr, align 8 %1 = load i32* %0, align 4 %cmp = icmp eq i32 %1, 1 br i1 %cmp, label %if.then, label %if.else if.then: ; preds = %invoke.cont invoke void @_Z12do_thing_onev() to label %invoke.cont2 unwind label %lpad1 invoke.cont2: ; preds = %if.then br label %if.end ; From 'entry' invoke of Middle constructor ; outer needs post-catch cleanup lpad: ; preds = %if.end, %entry %2 = landingpad { i8*, i...

...e in mind here. 1) A shared block that might branch into normal code: lpad: landingpad … cleanup catch … … br label %shared.block shared.block: %dst = phi i1 [1, %normal.cont], [0, %lpad] ; do something that happens in cleanup and in regular code … br i1 %dst, label %normal.cont2, label %catch.dispatch catch.dispatch: That sort of PHI dependence is very easy to handle, but can we count on it always being that simple? It seems like in theory there could be an arbitrary use-def chain between the PHI node and the branch condition that we may or may not be able to resolve at...

...quot;") libRef <- obSAS.DataService$AssignLibref("sasds","",inPath,"") # create the content csv file cont1 <- paste("proc contents data=sasds.",inSAS," out=_tmp1(KEEP=NAME TYPE LENGTH VARNUM FORMAT) noprint; run;",sep="") cont2 <- "proc sort data=_tmp1; by varnum; run;" cont3 <- "data _tmp2; set _tmp1; if type=2 then dummy='character'; " cont3 <- paste(cont3,"if type=1 then do; if format in ('DATE','DATETIME') then dummy='date'; ",sep="")...

...%captures._Z4testv* %capture_block, i32 0, i32 1 invoke void @_ZN5OuterC1Ev(%struct.Outer* %outer) to label %invoke.cont unwind label %lpad invoke.cont: ; preds = %entry invoke void @_ZN5InnerC1Ev(%struct.Inner* %inner) to label %invoke.cont2 unwind label %lpad1 invoke.cont2: ; preds = %invoke.cont invoke void @_Z14do_inner_thingv() to label %invoke.cont4 unwind label %lpad3 invoke.cont4: ; preds = %invoke.cont2 invoke void @_ZN5InnerD1Ev(%struct.Inn...

...Outer outer; try { Inner inner; do_inner_thing(); } catch (int) { handle_int(); } } catch (float) { handle_float(); } keep_going(); } This is the landing pad for the do_inner_thing() invoke: lpad3: ; preds = %invoke.cont2 %8 = landingpad { i8*, i32 } personality i8* bitcast (i32 (...)* @__CxxFrameHandler3 to i8*) cleanup at @_Z4testv.unwind.1 ; ~Inner catch i8* bitcast (i8** @_ZTIi to i8*) at @_Z4testv.catch.1 ; handle_int() catch i8* bitcast (i8** @_ZTIf to i8*) at @_Z4testv.catch.0...

I've started using lmPerm in order to perform regressions in R. The equation I want to fit has the form: out3 <- lmp(outcome ~ bin1 + bin2 + cont1 + cont2, perm="Exact") Where "outcome" is a non-normally distributed continuous variable, and bin* and cont are binary and continuous regressors (similarly, they are non-normally distributed). Each variable has a length of approx. 110 cases. Here are my questions: This code works fin...

...? ?? 1 ? ? 0 ? ?? 0 ? ? 0 ? ? 0 ....... .... ############ data<-read,table("example.txt") data <- as.data.frame(lapply(data, ordered)) ############ Now, suppose I have bigger dataset where some variables are categorical (cat) and others are continuous (cont).. cat1 cat2 cont1 cont2 ...cont10 cat3 cont11....cat 40 cont25? etc. Is there a way to code so that R goes through each variable and orders a variable if it is categorical and leaves a variable alone if it is continuous? Thanks, ?Debs

...0) invoke void @ctor0(i8* %m0) to label %cont0 unwind label %cleanupCall cont0: %m1 = call i8* @llvm.call.alloc(token %cs, i32 1) invoke void @ctor1(i8* %m1) to label %cont1 unwind label %cleanup0 cont1: %m2 = call i8* @llvm.call.alloc(token %cs, i32 2) invoke void @ctor2(i8* %m2) to label %cont2 unwind label %cleanup1 cont2: call void @use_callsetup(i8* preallocated %m1, i32 13, i8* preallocated %m2, i32 42, i8* preallocated %m3) [ "callsetup"(token %cs) ] cleanu...

Hello all. I am inexperienced with R and am clumsily trying to work through it for specific multiple imputations Id like to run for my thesis.In running the MIX package, I keep getting an error message regarding the use of the prelim.mix command. Error in as.integer.default(list(alcohol = c(1, 1, 1, 1, 1, 1, 1, 1, 1, : (list) object cannot be coerced to integer I cannot find the

I am working on adding support for C++ exception handling when compiling for a native Windows target (that is a target with "MSVC" specified as the environment). Because of differences between how the native Windows runtime handles exceptions and the Itanium-based model used by current LLVM exception handling code, I believe this will require some extensions to the LLVM IR, though

Hello all! I want to estimate parameters in a MIMIC model. I have one latent variable (ksi), four reflexive indicators (y1, y2, y3 and y4) and four formative indicators (x1, x2, x3, x4). Is there a way to do it in R? I know there is the SEM library, but it seems not to be possible to specify formative indicators, that is, observed exogenous variables which causes the latent variable. Thanks,

(Moving this discussion on list as this could be of general interest.) My current work-in-progress implementation is attempting to map out the blocks used by a landing pad before it starts outlining. It creates a table of catch and cleanup handlers with the block at which each one starts. During outlining I intend to have another mechanism to check to see if we’ve already outlined the handler

...try { f(4); } catch (...) { f(5); } } } The IR for __CxxFrameHandler3: define void @foo() personality i32 (...)* @__CxxFrameHandler3 { %e.addr = alloca i32 invoke void @f(i32 1) to label %cont1 unwind label %maycatch.int cont1: invoke void @f(i32 2) to label %cont2 unwind label %cleanup.Obj cont2: call void @~Obj() br label %return return: ret void cleanup.Obj: cleanupblock unwind label %maycatch.int call void @~Obj() resume label %maycatch.int maycatch.int: catchblock void [i8* @typeid.int, i32 7, i32* %e.addr] to label %catch.int unwind...