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Using user-provided truncLen: 220
Error in names(answer) <- names1 :
'names' attribute [86] must be the same length as the vector [75]
In addition: Warning messages:
1: In mclapply(seq_len(n), do_one, mc.preschedule = mc.preschedule, :
scheduled cores 2, 11 did not deliver results, all values of the jobs will be affected
2: In mclapply(seq_len(n), do_one, mc.preschedule = mc.preschedule, :
scheduled cores 6, 10, 13, 14, 7, 9, 15 encountered errors in user code, all values of the jobs will be affected
The text was updated successfully, but these errors were encountered:
This error happens when the multithreading in the dada2 function filterAndTrim demands too much memory. (See this issue thread in dada2: benjjneb/dada2#273 .) To get around this, you can either request more memory on CyVerse, reduce the number of threads by setting multithread to a specific number, or set multithread = FALSE, which disables multithreading. Let me know if any of these works for you.
line 128 and below, tidyverse functions--either load tidyverse (but will create conflicts with other packages) or each time use tidyr:: to call functions.
In testing
analyze-neon-greatplains-16s.R
on CyVerse, the following chunk:The error message is
The text was updated successfully, but these errors were encountered: