Reference

Lookup tables and variable metadata tibbles that obtain, link, collpase, and describe ACS and CCES values
race_key gender_key educ_key educ3_key ed_ed3_cces age5_key age10_key states_key	CCES-ACS variable key value pairs for recoding
cces_dv_ids	Identifiers for datasets in CCES Dataverse
acscodes_df	ACS code lookup table
acscodes_age_sex_race acscodes_age_sex_educ acscodes_sex_educ_race	ACS codes for partitions
cps_onewaytabs	CPS variable labels and counts
Reading Data Functions that read in CCES and ACS data from an API
get_acs_cces()	Obtain a ACS tabulation from tidycensus
get_acs_cvap()	Obtain CVAP proportions by race
get_cces_dataverse()	Download a specific CCES dataset from dataverse, with some indexing
get_cces_question()	Get one column of outcome questions for each model
get_poststrat()	Formats a post-strat table from ACS and district-level data
Sample datasets Samples of datasets one can get from the data loading functions
ccc_samp	Sample cumulative CCES data
cc18_samp	Sample 2018 Common Content
cc18_NY	Sample 2018 New York CCES
cd_info_2018 cd_info_2016 cd_info_2020 elec_NY	Congressional District level information by Daily Kos
questions_samp	Question metadata (sample)
Data recoding and cleaning Functions that standardize and clean variable names and formats
ccc_bin_age()	Discretize a vector of age integers into labelled variables
ccc_std_demographics()	Recode CCES variables so that they merge to ACS variables
to_cd()	Concatenate to Congressional District code
std_acs_cdformat()	Format CD format from ACS
cces_join_slim()	Build CCES Data by Joining Component Pieces
yesno_to_binary()	Translate a Yes/No variable into 1/0
Data collapsing and reshaping Wrangling cleaned data for apporpriate modeling
build_counts()	Collapse CCES data to be analyzed in binomial model