# An error when accessing the table using a long vector of column names (ds.subset, ds.rbind and ds.merge)

**URL:** <https://datashield.discourse.group/t/an-error-when-accessing-the-table-using-a-long-vector-of-column-names-ds-subset-ds-rbind-and-ds-merge/171>\
**Category:** Analyst Support\
**Created:** [30 January 2020 07:38 UTC](https://datashield.discourse.group/t/an-error-when-accessing-the-table-using-a-long-vector-of-column-names-ds-subset-ds-rbind-and-ds-merge/171 "2020-01-30T07:38:57Z")\
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**Author:** ![tombishop](https://yyz2.discourse-cdn.com/free1/user_avatar/datashield.discourse.group/tombishop/32/23_2.png) [@tombishop](https://datashield.discourse.group/u/tombishop)\
**Post date:** [30 January 2020 09:16 UTC](https://datashield.discourse.group/t/an-error-when-accessing-the-table-using-a-long-vector-of-column-names-ds-subset-ds-rbind-and-ds-merge/171/2 "2020-01-30T09:16:14Z")

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Ah! This work is about genes/phenotypes. In which case, it might be best to wait for the new dsOmics package that might help with this. Unless @yannick has another idea?

See also my other reply here: [An error when applying glm in Foreach and doParallel](https://datashield.discourse.group/t/an-error-when-applying-glm-in-foreach-and-doparallel/165/4)

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