similar to: Conerned about Interfacing R with Fortran

Hello, I am trying to call a FORTRAN subroutine from R. The Fortran code is @: http://lib.stat.cmu.edu/apstat/206 It performs a bivariate isotonic regression on a rectangular grid (m X n) matrix. I used the g77 compiler and successfully created a dll file and it also loads successfully from R. But somehow the programs fails to run properly. (I do get the correct result when I compile the

To all. I need your help. The big question is: How do I make an R library with Fortran 95 files? You may assume that I am a pretty decent programmer in both R and Fortran. I lay out a scenario and need your help! I know how to make an ordinary R package and have dabbled with R + Fortran 95 *.dll linking. I do not have a great handle on the whole Makevars file and whatever else I might need

Hi, I created a R library that uses a Fortran module. Everything works like a charm on linux. Now I'm trying to make it work on Windows. I cloned my git repository <https://github.com/ignacio82/MyPi> on a windows computer, and when I press the build and reload button on Rstudio I get these errors: ==> Rcmd.exe INSTALL --no-multiarch --with-keep.source MyPi * installing to library

Hi the list, When we use package.skeleton, it create some file in the man directorie. - If we use package.skeleton with namespace=FALSE, it create a file toto-internal.Rd - If we use package.skeleton with namespace=TRUE, it does not create the file toto-internal.Rd Why is that ? Christophe

Hello, R subscribers. I would like to define a function like this one: Fun <- function(x) sin(x)/x with value 1 at x=0. How can I do that? Is there a way to plot it "symbolically", without using x as a vector? e.g. x <- seq(from=-10, to=10, length=100) plot(x, Fun(x)) Thank you in advance.

I tried cast and melt in reshape package, but still can't convert this data frame m m [,1] [,2] [1,] "A" "1" [2,] "A" "2" [3,] "B" "3" to this form. m1 [,1] [,2] [1,] "A" "B" [2,] "1" "3" [3,] "2" NA Please help. [[alternative HTML version deleted]]

I wonder whether R has methods for constrained fitting of linear models. I am trying fm<-lm(y~x+I(x^2), data=dat) which most of the time gives indeed the coefficients of an inverted parabola. I know in advance that it has to be an inverted parabola with the maximum constrained to positive (or zero) values of x. The help pages for lm do not contain any info on constrained fitting. Does anyone

Hello, I work under windows xp and I am trying to build a R package with a subroutine written in fortran 90. I have installed all the updated tools and I am working with R-2.4.0 or R-2.5.0. When I check a package with a subroutine in fortran 77 (and extension f) everything is ok. When I try to build the same package with a subroutine in fortran 90 (with extension f90) the following warning

Dear colleagues Please could someone kindly explain the following inconsistencies I've discovered when performing logical calculations in R: 8.8 - 7.8 > 1 > TRUE 8.3 - 7.3 > 1 > TRUE Thank you, Emma Jane [[alternative HTML version deleted]]

Hi, I am using solve.QP (from quadprog) to solve a standard quadratic programming problem: min_w -0.5*w'Qw st ... I would like solve.QP to do two things: 1) to start the optimization from a user-supplied initial condition; i.e., from a vector w_0 that satisfies the constraints, and 2) to return the values of the lagrange multiplieres associated with the constraints. I did not find an obvious

Hello list I'm a little confused about the R2 and adjusted R2 values reported by lm() when I try to fix an intercept. When using +0 or -1 in the formula I have found that the standard error generally increases (as I would expect) but the R2 also increases (which seems counter intuitive). I've pasted a short test script below to illustrate. I do realise that many will say I shouldn't be

Hello: What might be the problem generating messages like "Warning: missing text for item ... in \describe" with "R CMD check" and "R CMD install"? With the current version of "fda" on R-Forge, I get the following: Warning: missing text for item 'fd' in \describe Warning: missing text for item 'fdPar' in \describe

In the almost current development version (2009-05-22 r48594) and also in https://svn.r-project.org/R/trunk/src/library/base/man/factor.Rd ?factor contains (compare the formulations marked by ^^^^^^) \section{Warning}{ The interpretation of a factor depends on both the codes and the \code{"levels"} attribute. Be careful only to compare factors with the same set of levels (in

In version 2.8.1, running Rcmd check on the package foo would leave the file foo-manual.tex in the folder foo.Rcheck. But as of 2.9.0 only foo-manual.pdf and foo-manual.log are there. Is this intentional? Anyway it is inconvenient, because I would occasionally like to include the manual at the end of a set of exercises, and this was a convenient file to \input with a few select %'s added.

Is it possible to run Fortran 95 code from R? I don't think so, but hopefully someone can prove me wrong. Here is the test I tried: A little fortran 95 subroutine: subroutine allloc() real, dimension(:, :), allocatable :: a integer :: n n = 10 allocate(a(n,n+1)) end I then compiled: >g95 -c allloc.f >R CMD SHLIB allloc.o Here is what happens when I try to dyn.load it in R 2.1.0

Is it possible to run Fortran 95 code from R? I don't think so, but hopefully someone can prove me wrong. Here is the test I tried: A little fortran 95 subroutine: subroutine allloc() real, dimension(:, :), allocatable :: a integer :: n n = 10 allocate(a(n,n+1)) end I then compiled: >g95 -c allloc.f >R CMD SHLIB allloc.o Here is what happens when I try to dyn.load it in R 2.1.0

Hi, Given test <- matrix(c(0,2,0,1,3,5), 3,2) > test[test>0] [1] 2 1 3 5 These are values >0 > which(test>0) [1] 2 4 5 6 These are array indices of those values >0 > which(apply(test>0, 1, all)) [1] 2 This gives the row whose elements are all >0 I can't seem to get indices of rows containing one or more elements >0 [[alternative HTML version deleted]]

I was feeling masochistic the other day and we have been having some wierd memory problems so I started digging into the source for L-BFGS-B. In the lbgfsb.c file I see the following code: /* Cholesky factorization of (2,2) block of wn. */ F77_CALL(dpofa)(&wn[*col + 1 + (*col + 1) * wn_dim1], &m2, col, info); if (*info != 0) { *info = -2; return; } If I am not mistaken

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Hi there, I have a major problem (major for me that is) with solve.QP and I'm new at this. You see, to solve my quadratic program I need to have the lagrange multipliers after each iteration. Solve.QP gives me the solution, the unconstrained solution aswell as the optimal value. Does anybody have an idea for how I could extract the multipliers? Thanx, Serge "Beatus qui prodest quibus