similar to: evaluation is nested too deeply: infinite recursion?

Hi all, Why I am getting, Error: evaluation nested too deeply: infinite recursion / options(expressions=)? Thanks in advance! func <- Vectorize(function(x, a, sad, trunc=0, ...) { result <- function(x) { f1 <- function(n) { dcom <- paste("d", deparse(substitute(sad)), sep="") dots <- c(as.name("n"), list(...)) f <-

hello all i searched the archives and couldn't get a solution to the following question. i have the following function: F=function(z,v) { if (v==-.5) return(1) else return(2*v/z + 1/Recall(z,v-1)) } and while testing whether it works (ie F(z,v) is approx = besselK(z,1+v)/besselK(z,V). the recursion formula allows one to calculate besselK(z,1+v)/besselK(z,V) for large values of z )

Hi, I am processing tick data and my code has stopped working as I have increased the size of data being processed. Now I am receiving error for basic tasks in RConsole: > a = c(1:1000) Error: evaluation nested too deeply: infinite recursion / options(expressions=)? My R code worked fine with 50 stocks and 500,000 rows per stock, but when I increased this to 50 stocks and 5,000,000 rows per

I get the error Error : evaluation nested too deeply: infinite recursion / options(expressions=)? during a 'R CMD check ...' on one of my packages. The reason seems to be that this package is mutually dependent on another one (i.e. the DESCRIPTION files of package A lists package B under "Depends" and vice versa). this might be bad design (having bits in both packages needed

hello R-users, I'm trying to port from S+4 a library called S2HTML. generic function HTMLExport, when called for a lm object, uses HTMLExport.lm which itself calls HTMLExport.list to export the summary. My problem is that HTMLExport.list may itself call HTMLExport (and so HTMLExport.list) for components of the lists that are lists themselves (like "terms" component of an lm object).

hello all i searched the archives and couldn't get a solution to the following question. i have the following function: F=function(z,v) { if (v==-.5) return(1) else return(2*v/z + 1/Recall(z,v-1)) } and while testing whether it works (ie F(z,v) is approx = besselK(z,1+v)/besselK(z,V). the recursion formula allows one to calculate besselK(z,1+v)/besselK(z,V) for large values of z )

I'm diverting this to the more appropriate mailing list, R-help, since heatmap() is standard R function. >>>>> "Johan" == Johan Lindberg <johanl at kiev.biotech.kth.se> >>>>> on Fri, 02 Jan 2004 10:04:14 +0100 writes: Johan> I am trying to plot a matrix of m-values in a heatmap Johan> with "average linkage". The rows

Hi, Trying to plot a large dendrogram, I get the recursion limit error Error in match.fun(FUN) : evaluation nested too deeply: infinite recursion / options(expression=)? but setting options(expressions = 10000) or something large enough to solve the infinite recursion limit problem, I get Error: protect(): stack overflow Is there anything that can be done? Thanks Claudio Donati

Hi guys, I have a code in R and it was work well but when I decrease the epsilon value (indicated in the code) , then I am getting this error Error: evaluation nested too deeply: infinite recursion / options(expressions=)? any help please y = 6.8; w = 7.4; z = 5.7; muy = 7; muw = 7; muz = 6; sigmay = 0.8; sigmaz = 0.76; sigmaw = 0.3; betayx = 0.03; betayz = 0.3; betayw = 0.67 s =

Hi, I get following error when trying to plot a heatmap on a very large matrix (808 x5000). heatmap(ctab) Error: evaluation nested too deeply: infinite recursion / options(expressions=)? Call to heatmap function is not contained within any other function or so. Upon searching the R mailing list, I found that someone had the same problem and the suggested solution was to set an option using

Hi netters, I have a matrix X of the size (1000,100). The values are from -3 to +3. When I tried heatmap(X, distfun=function(c),dist(c,method="bin"),hclustfun=function(m),hclust(m,method="average")) I got the error message: Error: evaluation nested too deeply: infinite recursion / options(expressions=)? However, if I used default parameters for distfunction:

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,

Open-Xchange Security Advisory 2020-08-12 Affected product: Dovecot IMAP server Internal reference: DOP-1849 (Bug ID) Vulnerability type: Uncontrolled recursion (CWE-674) Vulnerable version: 2.0 Vulnerable component: submission, lmtp, lda Fixed version: 2.3.11.3 Report confidence: Confirmed Solution status: Fix available Vendor notification: 2020-04-23 CVE reference: CVE-2020-12100 CVSS: 7.5

Open-Xchange Security Advisory 2020-08-12 Affected product: Dovecot IMAP server Internal reference: DOP-1849 (Bug ID) Vulnerability type: Uncontrolled recursion (CWE-674) Vulnerable version: 2.0 Vulnerable component: submission, lmtp, lda Fixed version: 2.3.11.3 Report confidence: Confirmed Solution status: Fix available Vendor notification: 2020-04-23 CVE reference: CVE-2020-12100 CVSS: 7.5

I ran into a problem recently trying to update a package which uses S4 methods using a recent beta of R. I think I can reproduce it with a simple example. I have package called `testpkg' in directory testpkg/. In the R/ subdirectory of testpkg/ I have a file called testpkg.R which contains the following two lines: setClass("testpkg", representation(pts = "list"))

Hello all, An S4 class that contains matrix can be converted into a matrix using as(). When the resulting object is printed implicitly at the command line, all is well. When print() is explicitly called, I see an infinite recursion. Here is an example: ## create a subclass of matrix > setClass("Foo", representation(name="character"), contains="matrix")

> setClass('foo') [1] "foo" > setMethod('is.logical', 'foo', function(x) TRUE) [1] "is.logical" > getGeneric('is.integer') Error in options(x) : evaluation is nested too deeply: infinite recursion? > --please do not edit the information below-- Version: platform = i686-pc-linux-gnu arch = i686 os = linux-gnu system =

> sessionInfo() R version 2.6.1 Patched (2007-12-03 r43574) i386-pc-mingw32 locale: LC_COLLATE=English_United States.1252;LC_CTYPE=English_United States.1252;LC_MONETARY=English_United States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252 attached base packages: [1] grDevices datasets stats graphics grid tcltk utils [8] methods base ## ... + other packages..

A larg program which worked with lme4/R about a year ago failed when I re-run it today. I reproduced the problem with the program below. -- When lme4 is not loaded, the program runs ok and fast enough -- When lme4 is loaded (but never used), the do.call fails with infinite recursion after 60 seconds. Memory used increases beyond bonds in task manager. -- I tested a few S3 based packages

A larg program which worked with lme4/R about a year ago failed when I re-run it today. I reproduced the problem with the program below. -- When lme4 is not loaded, the program runs ok and fast enough -- When lme4 is loaded (but never used), the do.call fails with infinite recursion after 60 seconds. Memory used increases beyond bonds in task manager. -- I tested a few S3 based packages