cell_data: Create new cell groups based on existing ones.
In bioinfocz/scdrake: A pipeline for droplet-based single-cell RNA-seq data secondary analysis implemented in the drake Make-like toolkit for R language
make_cell_groupings R Documentation
Create new cell groups based on existing ones.
Description
This is basically a recoding of levels. A new column (cell group) will be based on levels in the
existing column.
Usage
make_cell_groupings(df, cell_groupings, do_cbind = FALSE)
Arguments
df
A dataframe.
cell_groupings
A named list of named lists. Names of outer list will be used for new columns in df.
The nested lists must have the following values:
-
source_column: a name of column in df to use.
-
assignments: a named list with values in the form old_level = new_level.
See the CELL_GROUPINGS parameter in 02_norm_clustering.yaml or 02_int_clustering.yaml config.
do_cbind
A logical scalar: if TRUE, bind column-wise df and dataframe with new cell groupings.
Value
A dataframe.
bioinfocz/scdrake documentation built on Jan. 29, 2024, 10:24 a.m.
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| make_cell_groupings | R Documentation |
Create new cell groups based on existing ones.
Description
This is basically a recoding of levels. A new column (cell group) will be based on levels in the existing column.
Usage
make_cell_groupings(df, cell_groupings, do_cbind = FALSE)
Arguments
df |
A dataframe. |
cell_groupings |
A named list of named lists. Names of outer list will be used for new columns in
|
do_cbind |
A logical scalar: if |
Value
A dataframe.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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