View source: R/moeWaveCrosstab.R

moe_wave_crosstab | R Documentation |

`moe_wave_crosstab`

returns a tibble containing a weighted crosstab of two variables
with margin of error. Use this function when the x-variable indicates different survey
waves for which weights were calculated independently.

```
moe_wave_crosstab(
df,
x,
y,
weight,
remove = c(""),
n = TRUE,
pct_type = "row",
format = "long",
zscore = 1.96,
unwt_n = FALSE
)
```

`df` |
The data source |

`x` |
The independent variable, which uniquely identifies survey waves |

`y` |
The dependent variable |

`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 numeric totals are included. |

`pct_type` |
Controls the kind of percentage values returned. One of "row" or "cell." Column percents are not supported. |

`format` |
one of "long" or "wide" |

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

`unwt_n` |
logical, if TRUE it adds a column with unweighted frequency values |

Options include row or cell percentages. The tibble can be in long or wide format. The margin of error includes the design effect of the weights, calculated separately for each survey wave.

a tibble

```
moe_wave_crosstab(df = illinois, x = year, y = maritalstatus, weight = weight)
moe_wave_crosstab(df = illinois, x = year, y = maritalstatus, weight = weight, format = "wide")
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.