similar to: [LLVMdev] bugzilla change

Nice! Can we get rid of the unnecessarily refined categories? From my perspective, we rarely use the large list of components and products that we have, and they just complicate things for users. For Clang, for example, I think we could get away with {Sema,C++,Codegen,[C++0x],Documentation} without any loss of functionality. - Daniel On Sat, Mar 6, 2010 at 12:10 PM, Chris Lattner <clattner

On Mar 8, 2010, at 8:56 AM, Daniel Dunbar wrote: > Nice! > > Can we get rid of the unnecessarily refined categories? From my > perspective, we rarely use the large list of components and products > that we have, and they just complicate things for users. > > For Clang, for example, I think we could get away with > {Sema,C++,Codegen,[C++0x],Documentation} without any loss

On Tue, Dec 10, 2013 at 11:58 AM, Hans Wennborg <hans at chromium.org> wrote: > It would be nice if we could make the TypePrinter not print the > calling convention if it's the default one for the ABI, but > TypePrinter doesn't have a lot of context.. no Sema, no ASTContext :/ > Does this patch fix any failures for you? It doesn't fix that test case, unfortunately.

I think we need to relax the test cases. MSVC usually prints the calling convention, and it's often useful information. Maybe we can make the diagnostic text smaller by using the __thiscall, __cdecl, __stdcall, etc keywords when printing types with LangOpts.MicrosoftExt, but it will require moving the attribute from after the identifier to before, which is exciting. On Tue, Dec 10, 2013 at

On Tue, Dec 10, 2013 at 3:57 PM, Reid Kleckner <rnk at google.com> wrote: > On Tue, Dec 10, 2013 at 11:58 AM, Hans Wennborg <hans at chromium.org> wrote: >> >> It would be nice if we could make the TypePrinter not print the >> calling convention if it's the default one for the ABI, but >> TypePrinter doesn't have a lot of context.. no Sema, no

On Tue, Dec 10, 2013 at 4:39 PM, Reid Kleckner <rnk at google.com> wrote: > I think we need to relax the test cases. MSVC usually prints the calling > convention, and it's often useful information. I was going to argue that MSVC doesn't print them, but then I tried, and you're right - it does :) I'll start relaxing the tests then. > Maybe we can make the

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Dear R-experts, I have got a dataframe: data ID disease V1 V2 1 p1 1 2 p1 3 3 p3 3 4 p3 5 5 p5 1 From which I extract a usefull table: affect affect 1 3 5 p1 1 1 0 p3 0 1 1 p5 1 0 0 I want to merge this with anotherdataframe: age p1 23 p2 24 p3 23 p4 11 p5 45 If have tried as.data.frame(affect) and other solutions to get the following comment going:

consider p as random effect with 5 levels, what is difference between these two models? > p5.random.p <- lmer(Y ~p+(1|p),data=p5,family=binomial,control=list(usePQL=FALSE,msV=1)) > p5.random.p1 <- lmer(Y ~1+(1|p),data=p5,family=binomial,control=list(usePQL=FALSE,msV=1)) in addtion, I try these two models, it seems they are same. what is the difference between these two model. Is

Hello, Iam looking for an R solution that can efficiently produce the output shown below. I can produce this easily in SAS with retain statement and a few lines of if-then-else logic, etc.. but I am not find anything similar on the Rforum archives. Below is the logic I am trying to apply to produce the output table below. Thanks in any help! if the ID is the first ID encountered then group=1 and

Dear list, I have 9 repeated measures (measurement variable == 'Delta13C') for individuals (ID variable == 'Individual_ID'. Each repeated measure is "indexed" (right term?) by the variable 'FeatherPosition' and given as c('P1', 'P2', 'P3', 'P4', 'P5', 'P6', 'P7', 'P8', 'P9'). I would like to

Hi to all the people again, I was writting a simply function in R, and wish to collect the results in a excel file. The work goes as follows, Ciervos<-function(K1, K0, A, R,M,Pi,Hembras) {B<-(K1-K0)/A T1<-(R*Pi*Hembras-M*Pi+B)/(Pi-M*Pi+R*Pi*Hembras) P1<-Pi-B R1<-P1*Hembras*R M1<-P1*M T2<-(R1-M1+B)/(P1-M1+R1) P2<-P1-B R2<-P2*Hembras*R M2<-P2*M

Is it possible in R to subset a dataframe by more than one factor, all at once? For instance, I have the dataframe: >data p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 pred 1 0 1 0 0 0 0 0 0 0 0 0.5862069 4 0 0 0 0 0 0 0 0 0 1 0.5862069 5 0 0 0 0 0 0 1 0 0 0 0.5862069 6 0 0 0 0 0 0 0 1 0 0 0.5862069 7 0 0 1 0 0 0 0 0 0

Dear R experts, I am trying to solve this problem, related to the possibility of changing the shape of a data frame using a "pivoting-like" function. I have a dataframe df of observations as follows: ID VALIDITY YEAR PROPERTY PROPERTY VALUE A1 2007 P1 V1 A1 2007 P2 V2 A1 2007 P3 V3 A1 2008 P1 V10 A1 2008 P2 V20 A2 2007 P5 V50 A2 2008 P6 V20 A3 2007

Hello there, I'm still struggling with the *apply commands. I have 5 people with id's from 10 to 14. I have varying amounts (nrep) of repeated outcome (value) measured on them. nrep <- 1:5 id <- rep(c("p1", "p2", "p3", "p4", "p5"), nrep) value <- rnorm(length(id)) I want to create a new vector that contains the sum of the

Dear all, Can any one tell me how can i perform Orthogonal Polynomial Regression parameter estimation in R? -------------------------------------------- Here is an "Orthogonal Polynomial" Regression problem collected from Draper, Smith(1981), page 269. Note that only value of alpha0 (intercept term) and signs of each estimate match with the result obtained from coef(orth.fit). What

I'm trying to use odesolve for integrating various series of coupled 1st order differential equations (derived from a system of enzymatic catalysis and copied below, apologies for the excessively long set of parameters). The thing that confuses me is that, whilst I can run the function rk4: out <- rk4(y=y,times=times,func=func, parms=parms) and the results look not unreasonable:

On 04/24/2020 03:24 AM, Sam McCall wrote: > clangd's experience using github issues to track bugs (in a separate repo) has been very positive, and I'm glad you're pushing on this! > > Part of this has been that our issue tracker has been scoped to our subproject only, which is a scope that the tool works well for (on the user and developer side). > As such I don't

https://bugzilla.samba.org/show_bug.cgi?id=8265 Summary: Long paths, hardlinks, 'special' files [was: Regression: sockets for 3.0.9pre1] Product: rsync Version: 3.0.9 Platform: All OS/Version: All Status: NEW Severity: blocker Priority: P1 Component: core AssignedTo:

Dear list, I have a dataset where we sampled multiple individuals either 1 or 9 times. Our measurement variable is 'Delta13C' (see below sample dataset). I cannot figure out how to efficiently use a vector command (preferably) or a loop to create a new vector of the names of the individuals sampled 9 times. Note that the 'FeatherPosition' variable will only be "P1" for