similar to: Runtime column name creation

Hello, pvshankar wrote > > Hello all, > > I have a data frame with column names s1, s2, s3....s11 > > I have a function that gets two parameters, one is used as a subscript for > the column names and another is used as an index into the chosen column. > > For example: > > my_func <- function(subscr, index) > { > if (subscr == 1) > { >

Hello R helpers, I am producing a figure with dual strips, i.e., x~y | S1 + S2, where S1 and S2 are two strips. For example, in figure 2.1 at http://lmdvr.r-forge.r-project.org/figures/figures.html. In this case, I would like to combine the the top strip, since all three pictures in the same row have the same level based on the first strip. In other words, instead of | -- S11 -- | -- S11 -- |

Hi, ABCRegister.td : def SGPR32 : RegisterClass<"ABC", [i32], 16, (add S0, S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, S11, S12, S13, S14, S15 )>; def SFGPR32 : RegisterClass<"ABC", [f32], 16, (add S0, S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, S11, S12, S13, S14, S15 )>; ===== Instruction selection ends: ... t8: i32 = ADDrr t37, t32

Thanks for the response. Yes, I did study the vignette but did not understand it fully. Anyway, I have tried once again now. I am happy to say that I have got what I wanted. library(Ryacas) x <- Sym("x");U <- Sym("U");x0 <- Sym("x0");C <- Sym("C") my_func <- function(x,U,x0,C) { return (U/(1+exp(-(x-x0)/C)))} FirstDeriv <-

I have a module having the blockaddress instruction. When I link it into another module and delete the original, blockaddress disappears and is replaced by inttoptr (i32 1 to i8*). Please compile and run the attached program to see the demo of this problem. Right after linking modules, blockaddress still exists: @switch.bbs = internal global [3 x i8*] [i8* blockaddress(@my_func,

Have you studied the "Introduction to Ryacas" vignette that come with the package? Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Sep 19, 2017 at 2:37 AM, Vivek Sutradhara <viveksutra at gmail.com> wrote:

Hi all, I am trying to implement the following matlab code with Ryacas : syms U x x0 C d1=diff(U/(1+exp(-(x-x0)/C)),x); pretty(d1) d2=diff(U/(1+exp(-(x-x0)/C)),x,2); pretty(d2) solx2 = solve(d2 == 0, x, 'Real', true) pretty(solx2) slope2=subs(d1,solx2) I have tried the following : library(Ryacas) x <- Sym("x");U <- Sym("U");x0 <-

Hi R-users, I have a question relating to the HoltWinters() function. I am trying to forecast a series using the Holt Winters methodology but I am getting some unusual results. I had previously been using R for Windows version 2.7.2 and have just started using R 2.9.1. While using version 2.7.2 I was getting reasonable results however upon changing versions I found I started to see unusual

Dear All, I would like to ask a question on how to incorporate into an R script help information for the user. I vaguely recall that I saw some instructions on an R manual, but am not able to figure them out. Hereunder is the basic setting: 1. I finished writing an R script, my_script.r, that is a function (the function is named "my_func") for a statistical procedure. This means that

Dear R gurus, I'm trying to solve what I assume is a fairly simple problem, but I'm having trouble finding the proper approach. I have a matrix where each column is some object (e.g. a car) and each row is a numeric measurement of a feature of said object (e.g. horse power, top speed, etc.). Let's also suppose that I know what make the car is (e.g. toyota, ford, etc.), stored in a

Dear R-helpers, Happy New Year to all the helpful members of the list. Here is the behavior I'm looking for: > v1 <- c("a","b","c") > n1 <- c(0, 1, 2) > v2 <- c("c", "a", "b") > n2 <- c(0, 1 , 2) > (f1 <- data.frame(v1, n1)) v1 n1 1 a 0 2 b 1 3 c 2 > (f2 <- data.frame(v2, n2))

Commit-ID: f1c1f4f99e60ac0f855a0582b4aebebfbb0804dc Gitweb: http://git.kernel.org/?p=libs/klibc/klibc.git;a=commit;h=f1c1f4f99e60ac0f855a0582b4aebebfbb0804dc Author: Ben Hutchings <ben at decadent.org.uk> AuthorDate: Tue, 17 Jul 2018 02:55:19 +0100 Committer: Ben Hutchings <ben at decadent.org.uk> CommitDate: Fri, 18 Jan 2019 03:10:14 +0000 [klibc] Add RISC-V (RV64) port

Note: please don't email me directly, please email the llvmdev list. On Tue, 6 Jun 2006, Lan Bai wrote: >> You probably want to pass Gv in as an argument to the call? I don't know >> what you're trying to do, so I can't help without more details. >> >> No, Gv is not used as an argument to the call. The return value of the call >> is to be assigned

Hmm, okay. Then what's the problem being reported here? I'm not sure what I'm supposed to do with "LLVM ERROR: Cannot select: t1: i16 = Constant<127>".BTW, the function is: ; ModuleID = 'return.c' source_filename = "return.c" target datalayout = "E-m:e-p:16:16:16-i1:16:16-i8:16:16-i16:16:16-i32:16:16-i64:16:16-S16-n16" target triple =

Hi all, I would like to invoke a function that takes multiple arguments (some of which are specified columns in the data frame, and others that are independent of the data frame) on split parts of a data frame, how do I do this? For example, let's say I have a data frame >fitness_data name height weight country rob 5.8 200 usa nancy 5.5 140 germany jen

Well, that's the thing: I thought that was CopyToReg. I don't know what the name of the node is to load one value into a register, so I don't know how to construct such a pattern. On Sat, Nov 4, 2017 at 9:23 PM Craig Topper <craig.topper at gmail.com> wrote: > Do you have a pattern for loading an i16 immediate into a 16-bit register? > > ~Craig > > On Sat, Nov 4,

Hi Folks, Thanks to several people's suggestions and clarifications, I think I have implemented a function which computes the conditional mean and covariance matrix of a subset of the dimensions of an MV-normal variable, given the values on the other dimensions (these conditioning value can be presented as a matrix, to deal with several cases at once). The code is below, for anyone who would

I have troubles installing the "SparseM" package on my Debian stable Linux system. Debian's version of R is: platform i386-pc-linux-gnu arch i386 os linux-gnu system i386, linux-gnu status major 1 minor 5.1 year 2002 month 06 day 17 language R This is the installation output: > R CMD INSTALL -l /usr/lib/R/ SparseM_0.36.tar.gz * Installing

Hi, May be you can try this: obj_name<- load("arun.RData") Pred1<- get(obj_name[1]) Actual1<- get(obj_name[2]) library(reshape2) dat<-cbind(melt(Pred1,id.vars="S1"),value2=melt(Actual1,id.vars="S1")[,3])? # to reshape to long form colnames(dat)[3:4]<- c("Predict","Actual") dat$variable<- as.character(dat$variable) #not that

Hi, I have a question regarding the LLParser and the new type system rewrite when running the JIT. I think there may be a problem with the parser not picking up on named types currently defined in a given Module (global context). However, I don't have much experience with the LLVM internals so there's a good chance that I'm not fully understanding the new changes ;) For Example: