VEuPathDB / microbiomeComputations

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Correlation: data1 and data2 must have the same number of rows #86

Closed asizemore closed 6 months ago

asizemore commented 6 months ago

Found on w1 with two of my user datasets "Nephele 32f305d80f12" and "b66 test". They might be the same data..

Anywho, this is the error. I haven't looked further into it yet

Rserve started in non-daemon mode.
[1] "starting correlation computation"

2024-02-21 16:13:12 Received df table with 10 samples and 128 taxa.
Error in .local(data1, data2, method, verbose, ...) :
  data1 and data2 must have the same number of rows.
In addition: Warning messages:
1: no function found corresponding to methods exports from ‘veupathUtils’ for: ‘asJSON’
2: replacing previous import ‘data.table::as.data.table’ by ‘veupathUtils::as.data.table’ when loading ‘plot.data’
3: replacing previous import ‘veupathUtils::toJSON’ by ‘jsonlite::toJSON’ when loading ‘plot.data’
4: replacing previous import ‘data.table::as.data.table’ by ‘veupathUtils::as.data.table’ when loading ‘microbiomeComputations’
5: In data.table::fread("correlation_input", select = c(MBIOTEMP_Source.Source_stable_id = "double",  :
  Attempt to override column 1 <<MBIOTEMP_Source.Source_stable_id>> of inherent type 'string' down to 'float64' ignored. Only overrides to a higher type are currently supported. If this was intended, please coerce to the lower type afterwards.
6: In data.table::fread("correlation_input", select = c(MBIOTEMP_Source.Source_stable_id = "double"),  :
  Attempt to override column 1 <<MBIOTEMP_Source.Source_stable_id>> of inherent type 'string' down to 'float64' ignored. Only overrides to a higher type are currently supported. If this was intended, please coerce to the lower type afterwards.
7: In .local(data1, data2, method, verbose, ...) :
  Replacing sampleMetadata in data1 with data2 sampleMetadata for validation
Rserve started in non-daemon mode.
Screen Shot 2024-02-21 at 11 23 19 AM
asizemore commented 6 months ago

Closing. After systems rebuilt the containers this was no longer an issue 🎉