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I was using this package's createJSON() function while my topicmodel was for 2 topics and received this error Error in stats::cmdscale(dist.mat, k = 2) : 'k' must be in {1, 2, .. n - 1}
Then I tested with reproducible example given here http://cpsievert.github.io/LDAvis/reviews/reviews.html
by putting K=2 and keeping everything same and bumped into this error again in createJSON().
Upon seeing the source code of createJSON(), the issue is in function jsPCA().
In jsPCA(), while K=2, the dist.mat comes out to be a single value which throws an error in line pca.fit <- stats::cmdscale(dist.mat, k = 2)
Any advice how to get past this error?
The text was updated successfully, but these errors were encountered:
I know this is a super old issue and I am not sure whether it is still needed, but I noticed some other errors occasionally with jsPCA(). This is why I rewrote the function in the following way:
jsPCA_updated <- function(phi) {
dist.mat <- philentropy::distance(phi,
method = "jensen-shannon",
unit = "log2")
pca.fit <- stats::cmdscale(dist.mat, k = 2)
data.frame(x = pca.fit[,1], y = pca.fit[,2])
}
You can then call it in the createJSON() function by setting mds.method = jsPCA_updated.
@cpsievert I haven't yet figured out why this function occasionally throws errors. I particularly noticed that it occurs more often, when using models created with the topicmodels package. Sometimes the built-in jsPCA creates one or more infinite values and stats::cmdscale throws an error. createJSON catches the error, but reports NA values instead of infinite values. If you don't mind the philentropy dependency, I'd open a pull request.
PS: Thanks for generating this package. I think it's super handy!
I was using this package's createJSON() function while my topicmodel was for 2 topics and received this error
Error in stats::cmdscale(dist.mat, k = 2) : 'k' must be in {1, 2, .. n - 1}
Then I tested with reproducible example given here
http://cpsievert.github.io/LDAvis/reviews/reviews.html
by putting K=2 and keeping everything same and bumped into this error again in createJSON().
Upon seeing the source code of createJSON(), the issue is in function jsPCA().
In jsPCA(), while K=2, the dist.mat comes out to be a single value which throws an error in line
pca.fit <- stats::cmdscale(dist.mat, k = 2)
Any advice how to get past this error?
The text was updated successfully, but these errors were encountered: