ces (version 1.0.2)

get_ces_subset: Get Subset of Variables from Canadian Election Study Dataset

Description

This function allows users to get a specific subset of variables from a CES dataset. It's useful for selecting only the variables of interest for a specific analysis.

Usage

get_ces_subset(
  year,
  variant = NULL,
  variables = NULL,
  regex = FALSE,
  format = "tibble",
  clean = TRUE,
  use_cache = TRUE
)

Value

A tibble or data.frame containing the requested CES data variables.

Arguments

year

A character string indicating the year of the CES data.

variant

A character string indicating the survey variant to download. Options depend on the year: "single_survey" (default for most years), "web" (default for 2015, 2019), "phone", "combo", "1974_1980", "jnjl", "sep", "nov". Use list_ces_datasets to see available variants for each year.

variables

A character vector of variable names to select from the dataset. If NULL (default), all variables are returned.

regex

A logical indicating whether to use regex matching for variable names. Default is FALSE.

format

A character string indicating the format to return the data in. Default is "tibble". Options include "tibble", "data.frame", or "raw".

clean

Logical indicating whether to clean the data. Default is TRUE.

use_cache

Logical indicating whether to use cached data if available. Default is TRUE.

Examples

# \donttest{
# Get only vote choice and demographic variables from 2019 web survey
variables <- c("vote_choice", "age", "gender", "province", "education")
ces_subset <- get_ces_subset("2019", variables = variables)

# Get subset from 2019 phone survey  
ces_subset_phone <- get_ces_subset("2019", variant = "phone", variables = variables)

# Get all variables containing "vote" in their name (using regex)
vote_vars <- get_ces_subset("2019", variables = "vote", regex = TRUE)
# }