function 'solve': requires numeric/complex matrix/vector arguments

[nick-youngblut]

library(mbImpute)
library(glmnet)
library(Matrix)

mbImpute(otu_tab = otu_tab)
[1] "Meta data information unavailable"
[1] "Phylogenentic information unavailable"
Error in h(simpleError(msg, call)) :
  error in evaluating the argument 'a' in selecting a method for function 'solve': requires numeric/complex matrix/vector arguments

Also, Demo 3 in your README example does not work:

otu_tab_T2D <- otu_tab[study_condition == "T2D",]
Error: object 'study_condition' not found

The otu_tab matrix doesn't include a study_condition column.

sessionInfo:

R version 4.0.3 (2020-10-10)
Platform: x86_64-conda-linux-gnu (64-bit)
Running under: Ubuntu 18.04.5 LTS

Matrix products: default
BLAS/LAPACK: /ebio/abt3_projects/software/dev/miniconda3_dev/envs/mbimpute/lib/libopenblasp-r0.3.12.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
 [9] LC_ADDRESS=C               LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

other attached packages:
[1] glmnet_4.1-1   Matrix_1.3-2   mbImpute_0.1.0

loaded via a namespace (and not attached):
 [1] compiler_4.0.3    tools_4.0.3       parallel_4.0.3    survival_3.2-10
 [5] splines_4.0.3     codetools_0.2-18  doParallel_1.0.16 grid_4.0.3
 [9] iterators_1.0.13  foreach_1.5.1     shape_1.4.5       lattice_0.20-41

[boyangzhang1993]

I encountered the same issue. The example code doesn't work.
imputed_count_mat_list <- mbImpute(otu_tab = otu_tab)

[1] "Meta data information unavailable"
[1] "Phylogenentic information unavailable"
Error in h(simpleError(msg, call)) : error in evaluating the argument 'a' in selecting a method for function 'solve': requires numeric/complex matrix/vector arguments