separate_terms_by_gender: Separates terms by gender.
In IskanderBlue/morseldash: Makes Building Dashboards for Morsel Easier
Description
Usage
Arguments
Value
Description
Separates terms by gender. Drops NAs, selects gender & target_col, then divides target_col up by various string markers (eg. \'or \', \',\', \' and\', etc.). Filters out non-sense pieces from broken up terms.
Usage
1
separate_terms_by_gender(x, target_col)
Arguments
x
dataframe, contains columns Gender and a column identified by target_col.
target_col
numeric (or string), identifies column of interest.
Value
A dataframe with columns primary_col and Gender.
IskanderBlue/morseldash documentation built on Oct. 30, 2019, 7:24 p.m.
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Description Usage Arguments Value
Description
Separates terms by gender. Drops NAs, selects gender & target_col, then divides target_col up by various string markers (eg. \'or \', \',\', \' and\', etc.). Filters out non-sense pieces from broken up terms.
Usage
1 | separate_terms_by_gender(x, target_col)
|
Arguments
x |
dataframe, contains columns Gender and a column identified by target_col. |
target_col |
numeric (or string), identifies column of interest. |
Value
A dataframe with columns primary_col and Gender.
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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