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cut2 throws the following error when provided with a large vector and g is set to a large number (see reproducible example for vague sense of what "large" means):
Error in if (cj == upper) next : missing value where TRUE/FALSE needed
In addition: Warning message:
In (1:g) * nnm : NAs produced by integer overflow
Reproducible example (I am using Hmisc version 5.0.1, R version 4.3.0, and ran this code in Rstudio on a laptop with 32GB of RAM and running Windows 11):
library(Hmisc)
# Vector to pass to cut2
test_vector <- rnorm(n = 500000)
# Attempt to run cut2 (should throw error listed above)
test_bins <- cut2(test_vector, g = 5000)
# cut2 does not throw an error for me with lower value of g
test_bins <- cut2(test_vector, g = 4000)
# cut2 does not throw an error for the large g that previously errored if input vector is smaller
test_bins <- cut2(sample(test_vector, 10000), g = 5000)
I did not see anything in the documentation or previous error reports about this problem, but I apologize if I missed any such posts or if my issue is a case of user error. I am also happy to provide any additional information.
Best,
Isaac
The text was updated successfully, but these errors were encountered:
Hi,
cut2 throws the following error when provided with a large vector and
g
is set to a large number (see reproducible example for vague sense of what "large" means):Reproducible example (I am using Hmisc version 5.0.1, R version 4.3.0, and ran this code in Rstudio on a laptop with 32GB of RAM and running Windows 11):
I did not see anything in the documentation or previous error reports about this problem, but I apologize if I missed any such posts or if my issue is a case of user error. I am also happy to provide any additional information.
Best,
Isaac
The text was updated successfully, but these errors were encountered: