Hello,
I'm trying to use the "lsa" (latent semantic analysis) package, and running
into a problem that seems to be related to the number of documents being
processed. Here's the code I'm running (after loading the lsa and rstem
packages), and the error message:
> SnippetsPath <- "c:\\OED\\AuditExplain\\" # path where to find text
snippets
> data(stopwords_en)
> tdm <- textmatrix(SnippetsPath, stopwords=stopwords_en)
I get this error message with ~ 280 documents: "Error in sort(
unique.default(x), na.last = TRUE) : 'x' must be atomic"
The error won't occur if I reduce the number of documents (say to 220, for
instance). I'm not clear if this is memory/capacity issue or something
else.
A traceback returns the following, but interpreting this result is outside
of my league ;-) Any idea of what could be the problem? I greatly
appreciate your advice.
> traceback()
10: stop("'x' must be atomic")
9: sort(unique.default(x), na.last = TRUE)
8: factor(a, exclude = exclude)
7: table(txt)
6: inherits(x, "factor")
5: is.factor(x)
4: sort(table(txt), decreasing = TRUE)
3: FUN(X[[238]], ...)
2: lapply(dir(mydir, full.names = TRUE), textvector, stemming, language,
minWordLength, minDocFreq, stopwords, vocabulary)
1: textmatrix(SnippetsPath, stopwords = stopwords_en)
Alex
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