qiime2R: Abundance is expected to be numeric

Hi,

Thank you for this tool. I'm trying to import my data by this package, everything was fine except to the point where I use qza_to_phyloseq() function

> # Creating a phyloseq object from QIIME artifacts
> mydata <- qza_to_phyloseq("QIIME2_format/taxonomy_forward_t240.qza", "QIIME2_format/rooted-tree.qza", "QIIME2_format/taxonomy-fw240-gg-97-otus.qza", "QIIME2_w16w28_wo-M418_phyloseq.tsv")
 Show Traceback
 
 Rerun with Debug
 Error in validObject(.Object) : invalid class “otu_table” object: 
 Non-numeric matrix provided as OTU table.
Abundance is expected to be numeric. 

> physeq<-phyloseq(
+   otu_table(SVs$data, taxa_are_rows = T), 
+   phy_tree(tree$data), 
+   tax_table(as.data.frame(taxtable) %>% select(-Confidence) %>% column_to_rownames("Feature.ID") %>% as.matrix()), #moving the taxonomy to the way phyloseq wants it
+   sample_data(metadata %>% as.data.frame() %>% column_to_rownames("#SampleID"))
+ )
Error in validObject(.Object) : invalid class “otu_table” object: 
 Non-numeric matrix provided as OTU table.
Abundance is expected to be numeric.

Is there something missing to convert the otu table to matrix or numeric value?

Regards,

I should mention I got some error

Import feature-table

SVs<-read_qza("QIIME2_format/taxonomy_forward_t240.qza")
names(SVs)
[1] "uuid" "type" "format" "contents" "version" "data" "provenance"
SVs$uuid
[1] "a820de29-0c92-46dd-b795-821535c53afa"
SVs$data[1:5,1:5] #show the first 5 samples and features
Error in [.data.frame(SVs$data, 1:5, 1:5) : undefined columns selected

Metadata import

metadata <- read_tsv("QIIME2_w16w28_wo-M418_phyloseq.tsv")
Parsed with column specification:
cols(
.default = col_character()
)
See spec(...) for full column specifications.

Import feature-table

SVs<-read_qza("QIIME2_format/taxonomy_forward_t240.qza")
names(SVs)
[1] "uuid" "type" "format" "contents" "version" "data" "provenance"
SVs$uuid
[1] "a820de29-0c92-46dd-b795-821535c53afa"
SVs$data[1:5,1:5] #show the first 5 samples and features
Error in [.data.frame(SVs$data, 1:5, 1:5) : undefined columns selected

You might notice the error with SVs$data[1:5,1:5]

I hope I can find way to import my data to Phyloseq to do the downstream analysis.

Thanks,

could you please post the results of the following?

SVs$type
SVs$format
SVs$contents
head(SVs$data)