pollster (version 0.1.6)

moe_wave_crosstab_3way: weighted 3-way crosstabs with margin of error, where the z-variable identifies different survey waves

Description

moe_wave_crosstab_3way returns a tibble containing a weighted crosstab of two variables by a third variable with margin of error. Use this function when the z-variable indicates different survey waves for which weights were calculated independently.

Usage

moe_wave_crosstab_3way(
  df,
  x,
  y,
  z,
  weight,
  remove = c(""),
  n = TRUE,
  pct_type = "row",
  format = "long",
  zscore = 1.96,
  unwt_n = FALSE
)

Value

a tibble

Arguments

df

The data source

x

The independent variable

y

The dependent variable

z

The second control variable, uniquely identifies survey waves

weight

The weighting variable

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."

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

Details

Options include row or cell percentages. The tibble can be in long or wide format. These tables are ideal for use with small multiples created with ggplot2::facet_wrap.

Examples

moe_crosstab_3way(df = illinois, x = sex, y = educ6, z = year, weight = weight)
moe_crosstab_3way(df = illinois, x = sex, y = educ6, z = year, weight = weight, format = "wide")