similar to: Fortran DLL in Spotfire

I have the following FORTRAN code converted to a DLL: ! my_xmean.f90 ! ! FUNCTIONS/SUBROUTINES exported from my_function.dll: ! my_function - subroutine ! subroutine my_xmean(X,N,XMEAN) ! Expose subroutine my_function to users of this DLL ! !DEC$ ATTRIBUTES DLLEXPORT,C,REFERENCE,ALIAS:'my_xmean_'::my_xmean ! Body of my_function DOUBLE PRECISION X(N) XMEAN=0D0 DO J=1,N

I am trying to call a FORTRAN subroutine from R. is.loaded is turning out to be TRUE. However when I run my .Fortran command I get the following error: Error in .Fortran("VALUEAHROPTIMIZE", as.double(ahrArray), as.double(kwArray), : Fortran symbol name "valueahroptimize" not in load table I have given the FORTRAN declaration below: subroutine VALUEAHROPTIMIZE(AHR,

Dear R users, I have been using R for 10 years, and I love it very much. But in my daily job for drug discovery, some people use Spotfire. I tried Spotfire on couple of data sets. It sounds I still need do some data manipulation before plot figures. For example, I can not plot figure with data arranged in rows (is this true, or I am stupid?). So far I don't feel any benefit Spotfire can

I have a FORTRAN DLL file obtained from Compaq Visual Fortran and when I try to load the DLL into the R environment I get an error. > dyn.load("my_function.dll") "This application has failed to start because MSCVRTD.dll was not found. Re-installing this application may fix the problem." When I tried it again, the above error doesn't appear anymore. Instead, I get the

I am using gsub to remove numbers for each element of a list. Code is given below. testList <- list("this contains a number 1000","this does not contain") removeNumbers <- function(X) { gsub("\\d","",X) } outputList <- lapply(testList,removeNumbers) However, when I try to find the number of words in outputList as follows

[Env: Win XP, R 2.14.2, R 2.15.0] I have a replacement function for setwd() in my .Rprofile which displays the current R path in the R window title. It no longer works in R 2.15.x, giving the error below. Worse, the error prevents the rest of my .Rprofile script from completing. Is there some way to rescue this, i.e., preserve this behavior in R 2.15? If not, how can I modify my script so it

I am looking for online courses to learn Spatial Statistics using R. Statistics.com is offering an online course in December on the same topic but that schedule doesn't suit mine. Are there any other similar modes for learning spatial statistics using R??? Can someone please advice??? Thank you. Ravi -- View this message in context:

TIBCO Software Inc. today launched TIBCO Spotfire 3.1, the latest version of its in-memory analytics platform, making predictive analytics based on R & S+ accessible within Spotfire's visual user experience. With this release, R & S+ users will be able to share and deploy their scripts through the Spotfire platform, making advanced analytics accessible to Business Analysts. While R

I am looking to build simple GUIs based on the R codes I have. The main objective is to hide the scary R codes from non-programming people and make it easier for them to try out different inputs. For example, 1. The GUI will have means to upload a csv file which will be read by the R code. 2. A button to preprocess data (carried out by a R function behind) 3. A button to build some models

I am trying to find the distance between a vector and each row of a dataframe. I am using the function "distancevector" in the package "hopach" as follows: mydata<-as.data.frame(matrix(c(1,1,1,1,0,1,1,1,1,0),nrow=2)) V1 V2 V3 V4 V5 1 1 1 0 1 1 2 1 1 1 1 0 vec <- c(1,1,1,1,1) d2<-distancevector(mydata,vec,d="euclid") The Euclidean distance

I have the following data: x <- as.factor(c(1,1,1,2,2,2,3,3,3)) y <- as.factor(c(10,10,10,20,20,20,30,30,30)) z <- c(100,100,NA,200,200,200,300,300,300) I could create the cross tab of x and y with Sum of z as its elements using the xtabs function as follows: # X Vs. Y with Sum Z xtabs(z ~ x + y) y x 10 20 30 1 200 0 0 2 0 600 0 3 0 0 900 How do I replace

Is there a text mining/ NLP package in R that could do text summarization? For example, take a huge text as input and provide a summary of the text. In package tm, summarization is defined more as high frequency terms which is not what I want. I actually want a summary of what is present in the huge volume of text. Any help on a R package would be helpful. Thank you. Ravi -- View this message

I have a text file that has semi-colon separated values. The table is nearly 10,000 by 585. The files looks as follows: ******************************************* First line: Skip this line Second line: skip this line Third line: skip this line variable1 Variable2 Variable3 Variable4 Unit1 Unit2 Unit3 10 0.1 0.01 0.001 20

I am trying to call a FORTRAN subroutine from R. is.loaded is turning out to be TRUE. However when I run my .Fortran command I get the following error: Error in .Fortran("VALUEAHROPTIMIZE", as.double(ahrArray), as.double(kwArray), : Fortran symbol name "valueahroptimize" not in load table I have given the FORTRAN declaration below: subroutine VALUEAHROPTIMIZE(AHR,

I have currently a R function that reads a csv file, does some computations, produces some plots and writes a csv file as output. I would like to use HTML forms to make a user interface for calling appropriate parts of the functions (reading csv file, doing computations, displaying plots and writing csv files). Are there are tutorials available that would help me get started?? Thank you. Ravi

I am trying to parse a webpage using the htmlParse command in XML package as follows: library(XML) u = "http://en.wikipedia.org/wiki/World_population" doc = htmlParse(u) I get the following error: Error in htmlParse(u) : error in creating parser for http://en.wikipedia.org/wiki/World_population I am using a R 2.13.1 (32 bit version) on a 64 bit Windows. (I tried installing it in

Hello R-users, I am interested to know if there is a tool that allows us to build SAS Enterprise Miner like workflows using the R scripts. For example, let's say I have the R scripts/functions for the following tasks: 1. Data Cleaning 2. Model Building 3. Model Validation 4. Visualization I would like to drag these functions into a workflow and run them together (output of one function

I successfully used .Fortran to load and execute my fortran procedures under WinXP and 32 bit R. Alas, the same isn't true with my next Windows 7/64 machine, R 2.14.1 (64 bit) and the gnu gfortran (64) compiler (mingw64 v. 4.6.1). Though I'm able to compile the routines from the command line using gfortran '...', .Fortran('foo2') results in an error saying the Fortran

Before trying to submit a patch(*) to on.exit(), I'd like to check whether there is an interest in enhancing on.exit(..., add=TRUE) such that it is possible to specify whether the added expression should be added before or after already recorded expression. The default is now to add it after, but it would often be useful to add it before previously recorded expressions. EXAMPLE: foo <-

Hi everybody, I'm trying to use fortran subroutines in a R function. I've generated a DLL file using my fortran subroutines, and I've got a DLL which includes an export table with the names of my subroutines. Then, I use the R command library(test), where test is a directory located in the R library tree and which contains a R directory (with my R functions) and a libs directory (with