It looks to me like benchdamic doesn't actually use the HMP16SData package,
but a repackaged example dataset placed in the data/ directory. I do notice
that the vignette takes very long to run, especially the chunks below. My
guess is that you are seeing differences in speed or number of available
cores on the build machines, one of which can't build the vignette within
the 10-minute time limit (e.g. it takes more than 10 minutes to build on my
laptop). Can you reduce the number of rows or columns in your example
dataset, or reduce permutations, to speed up the computation while still
demonstrating how the package should be used?
```{r runMocks}
bpparam <- BiocParallel::SerialParam()
# Random grouping each time
Stool_16S_mockDA <- runMocks(
mocks = my_mocks,
method_list = my_methods,
object = ps_stool_16S,
weights = zinbweights,
verbose = FALSE,
BPPARAM = bpparam)
```
```{r runSplits}
# Set the parallel framework
# Remember that ANCOMBC based methods are compatible only with SerialParam()
bpparam <- BiocParallel::SerialParam()
# Make sure the subject ID variable is a factor
phyloseq::sample_data(ps_plaque_16S)[, "RSID"] <- as.factor(
phyloseq::sample_data(ps_plaque_16S)[["RSID"]])
Plaque_16S_splitsDA <- runSplits(
split_list = my_splits,
method_list = my_methods_noWeights,
normalization_list = my_normalizations,
object = ps_plaque_16S,
min_counts = 0, min_samples = 2,
verbose = TRUE,
BPPARAM = bpparam)
```
(returns lots of "Warning: Computed variance-covariance matrix problem: not
a positive definite matrix (and positive semidefiniteness is not
checked); returning
NA matrixboundary (singular) fit: see help('isSingular')" warnings)
--
Levi Waldron
Associate Professor
Department of Epidemiology and Biostatistics
CUNY Graduate School of Public Health and Health Policy
Institute for Implementation Science in Population Health
55 W 125th St, New York NY 10035
https://waldronlab.io
Book a meeting with me
<https://outlook.office365.com/owa/calendar/leviwald...@cuny907.onmicrosoft.com/bookings/>
Join the microbiome Virtual International Forum: https://microbiome-vif.org
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