moe_topline | R Documentation |

`moe_topline`

returns a tibble containing a weighted topline of one variable with margin of error

```
moe_topline(
df,
variable,
weight,
remove = c(""),
n = TRUE,
pct = TRUE,
valid_pct = TRUE,
cum_pct = TRUE,
zscore = 1.96
)
```

`df` |
The data source |

`variable` |
the variable name |

`weight` |
The weighting variable, defaults to zwave_weight |

`remove` |
An optional character vector of values to remove from final table (e.g. "refused"). This will not affect any calculations made. The vector is not case-sensitive. |

`n` |
logical, if TRUE a frequency column is included percentages, but in a separate row for column percentages. |

`pct` |
logical, if TRUE a column of percents is included |

`valid_pct` |
logical, if TRUE a column of valid percents is included |

`cum_pct` |
logical, if TRUE a column of cumulative percents is included |

`zscore` |
defaults to 1.96, consistent with a 95% confidence interval |

By default the table includes a column for frequency count, percent, valid percent, and cumulative percent.

a tibble

```
moe_topline(df = illinois, variable = educ6, weight = weight)
moe_topline(df = illinois, variable = educ6, weight = weight, remove = c("LT HS"))
```

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