[R] 'Error: C stack usage is too close to the limit' when adding an overarching function
Hi, I encountered an error of type 'C stack usage is too close to the limit', and could not find information so far to get unstuck. The error occurs when subsetting columns from a data frame (see stack trace below). However if I step through the sequence of code found in the 'topmost' function buildCombinations the data processing is successful. I get an identical behavior on WindowsXP and an Ubuntu box. Any help/pointer to non-obvious information would be appreciated, as archives and manuals did not enlighten me so far. I'd like not to compromise the code structure just to work around this issue. Thanks > traceback() 5: `[.data.frame`(dataFrame, , ordering.column.names) 4: dataFrame[, ordering.column.names] 3: orderDataFrame(cvStats.long, ordering.keys) 2: findClosestCatchments(tmp, ordering.keys, attributes.column.name = attributes.column.name, attributes.values.column.name = attributes.values.column.name, n = n) 1: buildCombinations(weights = wts[1, ], bestAttributes = bestAttributes.south, simhyd, xv.wide.df = smaller.cvStats.south.test, n = 2) Sys.info() sysname release "Linux" "2.6.24-22-generic" version "#1 SMP Mon Nov 24 19:35:06 UTC 2008" machine "x86_64" __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] 'Error: C stack usage is too close to the limit' when adding an overarching function
Hi, I encountered an error of type 'C stack usage is too close to the limit', and could not find information so far to get unstuck. The error occurs when subsetting columns from a data frame (see stack trace below). However if I step through the sequence of code found in the 'topmost' function buildCombinations the data processing is successful. I get an identical behavior on WindowsXP and an Ubuntu box. Any help/pointer to non-obvious information would be appreciated, as archives and manuals did not enlighten me so far. I'd like not to compromise the code structure just to work around this issue. Thanks > traceback() 5: `[.data.frame`(dataFrame, , ordering.column.names) 4: dataFrame[, ordering.column.names] 3: orderDataFrame(cvStats.long, ordering.keys) 2: findClosestCatchments(tmp, ordering.keys, attributes.column.name = attributes.column.name, attributes.values.column.name = attributes.values.column.name, n = n) 1: buildCombinations(weights = wts[1, ], bestAttributes = bestAttributes.south, simhyd, xv.wide.df = smaller.cvStats.south.test, n = 2) Sys.info() sysname release "Linux" "2.6.24-22-generic" version "#1 SMP Mon Nov 24 19:35:06 UTC 2008" machine "x86_64" __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
