similar to: Simple Function

Hi all, I have run into a problem and some help would be highly appreciated. I have a .csv with the following columns: Date Time Open High Low Close 1/2/2005 17:05 1.3546 1.3553 1.3546 1.35495 1/2/2005 17:10 1.3553 1.3556 1.3549 1.35525 1/2/2005 17:15 1.3556 1.35565 1.35515 1.3553 1/2/2005 17:25 1.355 1.3556 1.355 1.3555 ?. ?.. 2/13/2006 5:20 1.18895 1.18925 1.18835 1.1885 1)

Hello everyone, I am trying to built an xts object and i have run into some problems on the data handling. I would really appreciate if someone could help me with the following: 1) I have a OHLC dataset with Time and date in different columns. How could i combine date and time in one column in order to pass on the new column to xts? I have use cbind and data.frame before but i did not manage to

Dear Experts, The following is my "Iterator". When I try to write a new function with itel, I got error. This is what I have: > supDist<-function(x,y) return(max(abs(x-y))) > > myIterator <- function(xinit,f,data=NULL,eps=1e-6,itmax=5,verbose=FALSE) { + xold<-xinit + itel<-0 + repeat { + xnew<-f(xold,data) + if (verbose) { + cat( +

Hi Everybody! I must start with a declaration that I am a sparse user of R. I am creating a credit scorecard using a dataset which has a variable depicting actual credit history (good/bad) and 41 other variables of yes/no type. The procedure I am asked to follow is to use a penalized logistic procedure for variable selection. I have located the package "glmnet" which gives the complete

This problem is likely to be specific to Windows, and particularly Win7. After a successful build of a package (R CMD build addendum), I immediately run an R CMD check for the same package. Not always, but _very_ often, I get the following error: C:\Users\nisabbe\Documents\@Doctoraat\R>R CMD check addendum Loading required package: tcltk Loading Tcl/Tk interface ... done Loading

Hello list. This is from an R session (admittedly, I''m still using R 2.11.1): > print function (x, ...) UseMethod("print") <environment: namespace:base> > showMethods("print") Function "print": <not a generic function> Don''t the two results contradict each other? Or do I have a terrible misunderstanding of what

Hello list. Another 'puzzle' for which I don't have a clean solution. Say I have a multidimensional object, e.g.: Mm<-matrix(1:6, nrow=2, dimnames=list(c("a","b"), c("g","h","i"))) And on the other hand I have a list Ind<-list("b","g") This holds, for each dimension, an indexer for that dimension. Now I would

Hi all. I am currently attempting to build a list of sparse matrixes. That I have already achieved, by > vmat <- list() > for (i in 1:n) { > vmat <- c(vmat, sparseMatrix(i,j,x=data) > } How I am trying to select those elements from the list where the column e.g. 999 is not null. I can do this for one of the sparse matrices with > which(vmat[[1]][,999] != 0) which

Dear list, I''ve had this a few times now, and wonder if this is possible: I''m using a package, often for plotting something, but I want to tune the way the plotting goes, in a way that was not foreseen by the maker of the package. Now, most of the time, these kinds of R functions (say pkg::plot.something) call into other R functions (say pkg::plot.something.internal), and

Hello all. I'm developing a package for R holding a Gibbs sampler, which tends to have better performance when written in C than in R. During each iteration in the Gibbs sampler, I need the inverse of a symmetric matrix. For this, I wish to use lapack, as is concisely suggested in "Writing R extensions", since this will have better performance than I could ever write myself. After

Hi All, I am trying to unroll the below loop, but couldn't as SCEV returns TripCount as 0. void foo(int x) { int p, i = 1; int mat[6][6][6]; for (p = x+3 ; p<= x+6 ;p++) mat[x][p][i] = mat[x][p][i] + 5; } For a quick reference I have added the generated IR compiled with clang using -O3. Please let me know if this is an known issue in SCEV or I am missing something here ? ;

I have modified the example test case for UB error, still it didn’t unroll void foo(int x) { int p, i = 1; int mat[9][9][9]; for (p = (x+1) ; p < (x+3) ;p++) mat[x][p-1][i] = mat[x][p-1][i] + 5; } Regard, Deepali From: Kevin Choi [mailto:code.kchoi at gmail.com] Sent: Friday, September 16, 2016 1:20 PM To: Rai, Deepali Cc: llvm-dev at lists.llvm.org Subject: Re: [llvm-dev] SCEV

Hi there, Could someone help me with the following programming problem..? I have written a function that works for my intended purpose, but it is quite closely tied to a particular dataframe and the names of the variables in this dataframe. However, I'd like to use the same function for different dataframes and variables. My problem is that I'm not quite sure how to tell my function in

Hello list. I was trying to see some of the code for plot.glmnet in package glmnet (this function name is in the documentation). After loading the library, I tried the obvious typing in the name, but I received a message telling me it could not be found. So I fiddled around a little, and noticed that R does not recognize ''plot'' as a generic function, and as such,

Hi R people. I ran into this problem: I created a plot with errbars, like this: > errbar(x=c(1,2,3,4), y=c(2,1,3,3), yminus=c(1.5,0.5,2.5,2.5), yplus=c(2.5,1.5,3.5,3.5)) Next, I wanted to accentuate some x value with an abline, like this: > abline(v=2) In one of my R sessions (which admittedly I have had open for quite a while now), the abline draws outside of the plotting region

I know this is a simple question, but I have yet to master the apply statements. Any help would be appreciated. I have a column of probabilities and sample sizes, I would like to create a column of binomial random variables using those corresponding probabilities. Eg. mat = as.matrix(cbind(p=runif(10,0,1), n=rep(1:5))) p n [1,] 0.5093493 1 [2,] 0.4947375 2 [3,]

Hello, I have a df, pp, with five variables: > nobs(pp) q10_1 q10_2 q10_3 q10_4 actcode 1620 1620 1620 1620 1620 I want to create a loop to run four xtabs (the first four variables above by the fifth) and then store the results in a matrix. Below I make my intent clear by showing the output of one xtab which is inserted into a matrix. > a <- xtabs(q10_1 ~

Hi All. I often find myself in this situation: . Based on some vector (or list) of values, I need to calculate a few new values for each of them, where some of the new values are numbers, but some are more of descriptive nature (so: character strings) . So I use e.g. sapply, passing a custom function that returns a list with all the calculated values . The result of

Clearly, I don't understand what order() is doing and as ususl the help for order seems to only confuse me more. For some reason I just don't follow the examples there. I must be missing something about the data frame sort there but what? I originally wanted to reverse-order my data frame df1 (see below) by aa (a factor) but since this was not working I decided to simplify and order by

Folks, I have a 'matching' matrix between variables A, X, L, O: > a <- structure(c(1, 0.41, 0.58, 0.75, 0.41, 1, 0.6, 0.86, 0.58, 0.6, 1, 0.83, 0.75, 0.86, 0.83, 1), .Dim = c(4L, 4L), .Dimnames = list( c("A", "X", "L", "O"), c("A", "X", "L", "O"))) > a A X L O A 1.00 0.41