build_counts: Collapse CCES data to be analyzed in binomial model

In kuriwaki/ccesMRPprep: Functions and Data to Prepare CCES data for MRP

Collapse CCES data to be analyzed in binomial model

Description

Currently only is compatible with question of type "yesno".

Usage

build_counts(
  formula,
  data,
  keep_vars = NULL,
  name_ones_as = "yes",
  name_trls_as = "n_response",
  multiple_qIDs = FALSE,
  verbose = TRUE
)

Arguments

formula	the model formula used to fit the multilevel regression model. Should be of the form y ~ x1 + x2 + (1|x3) where y is a binary variable and only categorical variables should be used in the random effects notation.
data	A cleaned CCES dataset, e.g. from ccc_std_demographics which is then combined with outcome and contextual data in cces_join_slim. By default it expects the LHS outcome to be named response, and expects the dataset to have that variable. This variable must be binary or it must be a character vector that can be coerced by yesno_to_binary into a binary variable.
keep_vars	Variables that will be kept as a cell variable, regardless of whether it is specified in a formula. Input as character vector.
name_ones_as	What to name the variable that represents the number of successes in the binomial
name_trls_as	What to name the variable that represents the number of trials in the binomial.
multiple_qIDs	Does the data contain multiple outcomes in long form and therefore require the counts to be built for each outcome? Defaults to FALSE.
verbose	Show warning messages? Defaults to TRUE

Value

A dataframe of cells. The following variables have fixed names and will be assumed by ccesMRPrun::fit_brms_binomial:

• yes: the number of successes observed in the cell

• n_response the number of non-missing responses, representing the number of trials.

Examples

library(dplyr)

ccc_samp_std <- ccc_samp %>%
  mutate(y = sample(c("For", "Against"), size = n(), replace = TRUE)) %>%
  ccc_std_demographics()

ccc_samp_out <- build_counts(y ~ age + gender + educ + (1|cd),
                             ccc_samp_std)

ccc_samp_out

# alternative options
build_counts(y ~ educ + (1|cd), ccc_samp_std,
             name_ones_as = "success", name_trls_as = "trials")
build_counts(y ~ educ + (1|cd), ccc_samp_std,
             keep_vars = "state")

kuriwaki/ccesMRPprep documentation built on July 27, 2023, 3:34 a.m.