similar to: different behavior accessing type-specific as.data.frame inside a function vs inside R shell

hello everyone we are developing a package that has worked up until R3.0 which we just tested. the issue is as above .... when we call a function that works in R 2.15.2 from R 3.0 we get an error Error in .Call("antsImageRead", filename, pixeltype, dimension) : "antsImageRead" not resolved from current namespace (ANTsR) this Error occurs when the .Call is made from

I'm trying to run a function inside a function but get an error message. lst <- list(roots = c("car insurance", "auto insurance"), roots2 = c("insurance"), prefix = c("cheap", "budget"), prefix2 = c("low cost"), suffix = c("quote", "quotes"), suffix2 = c("rate", "rates"), suffix3 =

If I want to use with inside a loop, it seems that next gets confused. To reproduce: for(lst in list(list(a = 1), list(a = 2), list(a = 3))) { with(lst, if(a == 2) next else print(a)) } I expect 1 and 3 to be printed, but I see [1] 1 Error in eval(expr, envir, enclos) : no loop for break/next, jumping to top level Is this a) by design, or b) a bug, or c) a thing that is rare enough that I

I have a really long functions, and at the end of the function, I am using a if statement to tag certain keywords based on whether they have certain values contained in them. However, the if statement doesn't seem to work. When I had split up the commands into various functions, it worked fine, but I'm not sure what going on now that it's combined into a single function. myfunc

Hi everyone, I am not sure if there is an existing solution to this, but I want my S4 objects inside a list matrix showing correctly. Currently it shows as: R> str(lst[[1]]) Formal class 'Basic' [package "symengine"] with 1 slot ..@ ptr:<externalptr> R> matrix(lst, 2) [,1] [,2] [,3] [,4] [,5] [1,] ? ? ? ? ? [2,] ? ? ? ? ? Is it

Hi all! I¹m just implementing the Ullmann¹s algorithm for searching subgraph isomorphisms in graphNEL objects. The algorithm is running with smaller graphs, but when I¹m calling it i get an R error message saying that functions are nested too deeply in source code. I found out that the problem is in the so called refinement procedure of the algorithm which consists of 10 different functions,

https://wiki.dovecot.org/Plugins/FTS/Solr Only offers a solr-7.7.0 solrconfig.xml, does it apply to solr-8.0.0? On Tue, Apr 23, 2019 at 11:18 AM luckydog xf <luckydogxf at gmail.com> wrote: > Here is solrconfig.xml, I removed comments. > -------------------- > > <?xml version="1.0" encoding="UTF-8"?> > <config> >

I'm writing a function and keep getting the following error message. myfunc <- function(lst) { lst <- list(roots = c("car insurance", "auto insurance"), roots2 = c("insurance"), prefix = c("cheap", "budget"), prefix2 = c("low cost"), suffix = c("quote", "quotes"), suffix2 = c("rate",

Hi, S4 method dispatch can be very slow. Would it be reasonable to cache the most recent dispatch, anticipating the next invocation will be on the same type? This would be very helpful in loops. fun0 <- function(x) sapply(x, paste, collapse="+") fun1 <- function(x) { paste <- selectMethod(paste, class(x[[1]])) sapply(x, paste,

hello, I have programmed this function to calculate the Neuman-Keuls test but I have a problem the function return an empty list and I don't know why. summary(fm1) E <- sqrt((summary(fm1)[[1]]["Residuals","Mean Sq"])/length(LR)) lst <- list() lst1 <- list() lst2 <- list() NK <- function (x) { if (length(x) == 2) { Tstudent <- t.test(subset(exple,

I'd like to pass a list object created by one function as an argument of another function. once inside the second function, I'd like to break the list up to it's individual elements, each then identifiable by the 'names' of the list. The list looks something like lst<-list(a=1, b=2, df=5, g=7) then inside the function I've been writing a sequence of statements that

R-help, I am trying to create a function that i pass a data set to and have the function return some calculations based on data. Allow me to illustrate: myfunc <- function(lst,mn,sd){ lst <- sort(lst) mn <- mean(lst) sd <- sqrt(var(lst)) return(lst,mn,sd) } data1 <-c (1,2,3,4,5) data2 <- c(6,7,8,9,10) myfunc(data1,data1mn,data1sd) myfunc(data2,data2mn,data2sd)

On 5/8/2018 12:26 PM, varin sacha via R-help wrote: > > Dear R-experts, > > Here below the reproducible example. I am trying to get the average of the 100 results coming from the "lst" function. I have tried lst$mean and mean(lst). It does not work. > Any help would be highly appreciated > > #################### > > ?## R script for getting MedAe and

Dear R-experts, Here below the reproducible example. I am trying to get the average of the 100 results coming from the "lst" function. I have tried lst$mean and mean(lst). It does not work. Any help would be highly appreciated. #################### ?## R script for getting MedAe and MedAeSQ from HBR model on Testing data install.packages("robustbase") install.packages(

Folks, I have a data frame with 4861469 rows that contains an ip address xxx.xxx.xxx.xxx as one of the columns. I want to assign a site to each row based on IP ranges. To do this I have a function to split the ip address as character into class A,B,C and D components. It works but is horribly inefficient in terms of speed. I can't quite see how one of the l/s/m/t/apply functions could be

Joyful. I'm adapting a FORTRAN 77 package for use with R. Pretty straightforward. Except for a glitch it took me some time to figure out. This existing package has subroutines which have parameters called "NA". So, I called subroutines like bnodes <- function(n, lst, lptr, lend, nodes, nb, na, nt) { ensure.all.numeric(list(n, lst, lptr, lend, nodes, nb, n.a, nt),

I am performing many permutations on a data-set with each permutation producing a variable number of results. I thought that the best way to keep track of all this in one object would be with a list ('res.lst'). To address these variable results for each permutation I attempted to construct this list using 'assign'. There is even more nesting than indicated below, but this is a

Hi ! I am a new user and quite confused by R-indexing. Make a list and get the attributes lst <- list(x = 1:3, y = 4:6, z = 7:9) attributes(lst) This returns: $names [1] "x" "y" "z" I can easily do: nm <-names(lst) or nm <-attr(lst,"names") which both return the assigned names of the named list 'lst', but why then this doesn't

After some testsing, I managed to get proper functionning - The schema.xml is attached below (quite different from the one provided on teh wiki) (in bold the core differences) (NGramFilterFactory is the class that replace the fts_squat "partial=3 full=15", everything else is just a big hammer to smash a tiny fly) - One need to remove the "managed-schema" file in the

Dear People, Here is something I do not understand. Consider ************************************************* foo.cc ************************************************* #include <iostream> #include <R.h> #include <Rinternals.h> using std::cout; using std::endl; extern "C" { SEXP printlst(SEXP lst); } SEXP printlst(SEXP lst) { for(int i=0; i<length(lst);