single_summary | R Documentation |

This function analyzes a specified categorical variable, `question`

,
optionally grouping by another variable, `group_by`

. Counts and frequencies
are computed, taking into account provided survey weights. Subgroups can be
excluded, and NAs can be removed if necessary.

```
single_summary(
dataset,
question,
group_by = NULL,
subgroups_to_exclude = NULL,
weights = NULL,
na.rm
)
```

`dataset` |
The input dataframe (or tibble) of survey questions |

`question` |
The categorical variable of interest for which frequencies
and counts will be calculated, can be selected by using |

`group_by` |
Optional variable to group the analysis. If provided, the frequencies and counts will be calculated within each subgroup. |

`subgroups_to_exclude` |
Optional vector specifying subgroups to exclude from the analysis. |

`weights` |
Optional variable containing survey weights. If provided, frequencies and counts will be weighted accordingly. |

`na.rm` |
Logical indicating whether to remove NA values from |

A tabled data frame with counts and frequencies for the specified variable and optional grouping variable. The output is pre-processed, considering subgroup exclusions, NA removal, and survey weights if provided.

Other single-choice questions:
`single_freq()`

,
`single_table()`

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