View source: R/moeCrosstab3way.R
moe_crosstab_3way | R Documentation |
moe_crosstab_3way
returns a tibble containing a weighted crosstab of two variables by a third variable with margin of error
moe_crosstab_3way(
df,
x,
y,
z,
weight,
remove = c(""),
n = TRUE,
pct_type = "row",
format = "long",
zscore = 1.96,
unwt_n = FALSE
)
df |
The data source |
x |
The independent variable |
y |
The dependent variable |
z |
The second control variable |
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 |
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.
a tibble
moe_crosstab_3way(df = illinois, x = sex, y = educ6, z = maritalstatus, weight = weight)
moe_crosstab_3way(df = illinois, x = sex, y = educ6, z = maritalstatus, weight = weight,
format = "wide")
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