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My apologies for posting these two issues (see my other post about wildcards). This is the other issue I found in the plot_feature_importance.R file.
When I run:
snakemake --cores 2 --configfile config/test.yaml
The following error is given:
Error in rule plot_feature_importance:
jobid: 9
input: results/otu-micro/feature-importance_results.csv
output: figures/otu-micro/feature_importance.png
log: log/otu-micro/plot_feature_importance.txt (check log file(s) for error details)
The log reads:
Error in group_by():
! Must group by variables found in .data.
✖ Column names is not found.
Backtrace:
Here my quick fix solution was to rename column 6 in feat_df as "names:" colnames(feat_df)[6] <- "names"
This renames the feat column names, and then outputs the correct feature importance plot.
Any feedback on these issues would be greatly appreciated!
The text was updated successfully, but these errors were encountered:
Hi There,
My apologies for posting these two issues (see my other post about wildcards). This is the other issue I found in the plot_feature_importance.R file.
When I run:
snakemake --cores 2 --configfile config/test.yaml
The following error is given:
Error in rule plot_feature_importance:
jobid: 9
input: results/otu-micro/feature-importance_results.csv
output: figures/otu-micro/feature_importance.png
log: log/otu-micro/plot_feature_importance.txt (check log file(s) for error details)
The log reads:
Error in
group_by()
:! Must group by variables found in
.data
.✖ Column
names
is not found.Backtrace:
Here my quick fix solution was to rename column 6 in feat_df as "names:" colnames(feat_df)[6] <- "names"
This renames the feat column names, and then outputs the correct feature importance plot.
Any feedback on these issues would be greatly appreciated!
The text was updated successfully, but these errors were encountered: