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fct_rec_relig.R
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fct_rec_relig.R
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#' Basic religion recoding.
#'
#' @description With correct parameters, it effectievly recodes
#' the religion variables. \code{\link{recode_religion}} wraps it,
#' and conducts series of checks to confirm that variables for
#' recoding are good and that it will produce a correct religious
#' identification. In addition, \code{\link{recode_religion}} allows
#' for more flexibility in terms of output. However, this function
#' is the essence of the package, and contains details about logic
#' of the recoding schema, and can also be inspected at
#' \href{https://github.com/mdjeric/resurrectionr/R/recode_religion_only-factors.R}{github.com/mdjeric/resurrectionr}
#'
#' @param religion,denomination,other Factors.
#'
#' @return Character vector with recoded religion.
#'
fct_rec_relig <- function(religion, denomination, other) {
######## Recoding religion and religion at 16 ##################
# Sherkat and Lehman (2017)
# To work properly, folder 'religion_punches' with .csvs
# of label names has to be in wokring directory.
#
# Function: # rec_relig_12(religion, denomination, other)
# relig or relig16 variable; denom or denom 16; other or oth16
# function prints frequencies and returns factor vector with
# religion recoded.
#
# It works with GSS dataset imported through 'read.spss',
# from foreign package, in following way:
# to.data.frame = TRUE, trim.factor.names = TRUE,
# trim_values = TRUE, use.missings = FALSE
## SETTING UP ==================================================
# Import three varaibles into new dataset used for recoding ----
DF <- data.frame(relig = religion,
denom = denomination,
other = other
)
# Create vectors with position corespondign to the punch
# of label in DF codebook for 3 variables
c_r <- rdo_punches("relig")
c_d <- rdo_punches("denom")
c_o <- rdo_punches("other")
## RECODING =====================================================
# Liberal Protestants --------------------------------------------
lp_d_num <- c(40:49)
lp_o_num <- c(29, 30, 40, 54, 70, 72 , 81, 82, 95, 98, 119,
142, 160, 188)
lp_denom <- c_d[lp_d_num]
lp_other <- c_o[lp_o_num]
DF$lp_true <- (DF$denom %in% lp_denom) | (DF$other %in% lp_other)
DF$rv[DF$lp_true] <- "Liberal Protestant"
# Episcopalians --------------------------------------------------
ep_d_num <- c(50)
ep_denom <- c_d[ep_d_num]
DF$ep_true <- DF$denom %in% ep_denom
DF$rv[DF$ep_true] <- "Episcopalian"
# Moderate Protestants ------------------------------------------
mp_d_num <- c(10:13, 20:23, 28)
mp_o_num <- c(1, 8, 15, 19, 25, 32, 42:44, 46, 49:51, 71, 73, 94,
99, 146, 148, 150, 186)
mp_denom <- c_d[mp_d_num]
mp_other <- c_o[mp_o_num]
DF$mp_true <- (DF$denom %in% mp_denom) | (DF$other %in% mp_other)
DF$rv[DF$mp_true] <- "Moderate Protestant"
# Lutherans -----------------------------------------------------
lt_d_num <- c(30:38)
lt_o_num <- c(105)
lt_denom <- c_d[lt_d_num]
lt_other <- c_o[lt_o_num]
DF$lt_true <- (DF$denom %in% lt_denom) | (DF$other %in% lt_other)
DF$rv[DF$lt_true] <- "Lutheran"
# Baptists ------------------------------------------------------
bp_d_num <- c(14:18)
bp_o_num <- c(93, 133, 197)
bp_denom <- c_d[bp_d_num]
bp_other <- c_o[bp_o_num]
DF$bp_true <- (DF$denom %in% bp_denom) | (DF$other %in% bp_other)
DF$rv[DF$bp_true] <- "Baptist"
# Sectarian Protestants -----------------------------------------
# these initial variables pull out sectarians codes
# relig == 11 (christian) or relig == 5 (other),
# but also have valid denom codes.
DF$sp_pent <- (DF$relig == c_r[11]) & (DF$other == c_o[68])
DF$sp_centchrist <- (DF$relig == c_r[5]) & (DF$other == c_o[31])
DF$sp_fsg <- (DF$relig == c_r[5]) & (DF$other == c_o[53])
DF$sp_jw <- (DF$relig == c_r[5]) & (DF$other == c_o[58])
DF$sp_sda <- (DF$relig == c_r[5]) & (DF$other == c_o[77])
DF$sp_ofund <- (DF$relig == c_r[5]) & (DF$other == c_o[97])
sp_o_num <- c(2, 3, 5:7, 9, 10, 12:14, 16:18, 20:24, 26, 27, 31,
33:39, 41, 45, 47, 48, 52, 53, 55:58, 63, 65:69,
76:79, 83:92, 96, 97, 100:104, 106:113, 115:118,
120:122, 124, 125, 127:132, 134, 135, 137:141, 144,
145, 151:156, 158, 159, 166:182, 184, 185, 187,
189:191, 193, 195, 196, 198, 201, 204)
sp_other <- c_o[sp_o_num]
DF$sp_true <- ((DF$other %in% sp_other) |
DF$sp_pent |
DF$sp_centchrist |
DF$sp_fsg |
DF$sp_jw |
DF$sp_sda |
DF$sp_ofund
)
DF$rv[DF$sp_true] <- "Sectarian Protestant"
# Christian, no group identified --------------------------------
DF$cn_christ <- (DF$relig == c_r[11]) & !DF$sp_pent
cn_r_num <- c(13)
cn_d_num <- c(70, 98, 99)
cn_o_num <- c(998, 999)
cn_relig <- c_r[cn_r_num]
cn_denom <- c_d[cn_d_num]
cn_other <- c_o[cn_o_num]
DF$cn_true <- ((DF$relig %in% cn_relig) |
(DF$denom %in% cn_denom) |
(DF$other %in% cn_other) |
DF$cn_christ
)
DF$rv[DF$cn_true] <- "Christian, no group given"
# Mormons -------------------------------------------------------
mr_o_num <- c(59:62, 64, 157, 162)
mr_other <- c_o[mr_o_num]
DF$mr_true <- DF$other %in% mr_other
DF$rv[DF$mr_true] <- "Mormon"
# Catholics or Orthodox Christians ------------------------------
co_r_num <- c(2, 10)
co_o_num <- c(28, 123, 126, 143, 149, 183, 194)
co_relig <- c_r[co_r_num]
co_other <- c_o[co_o_num]
DF$co_true <- (DF$relig %in% co_relig) | (DF$other %in% co_other)
DF$rv[DF$co_true] <- "Catholic and Orthodox"
# Jews ----------------------------------------------------------
jw_r_num <- c(3)
jw_relig <- c_r[jw_r_num]
DF$jw_true <- DF$relig %in% jw_relig
DF$rv[DF$jw_true] <- "Jew"
# Other religions -----------------------------------------------
DF$or_nonsp <- (DF$relig == c_r[5]) & !(DF$sp_pent |
DF$sp_centchrist |
DF$sp_fsg |
DF$sp_jw |
DF$sp_sda |
DF$sp_ofund
)
or_r_num <- c(6:9, 12)
or_o_num <- c(11, 74, 75, 80, 114, 136, 161, 163, 164, 192)
or_relig <- c_r[or_r_num]
or_other <- c_o[or_o_num]
DF$or_true <- ((DF$relig %in% or_relig) |
(DF$other %in% or_other) |
DF$or_nonsp
)
DF$rv[DF$or_true] <- "Other religions"
# No religious identification -----------------------------------
nr_r_num <- c(4)
nr_relig <- c_r[nr_r_num]
DF$nr_true <- DF$relig %in% nr_relig
DF$rv[DF$nr_true] <- "No identification"
# Missing values ------------------------------------------------
# No Answer
DF$na_relig <- DF$relig == c_r[99]
DF$na_denom <- DF$denom == c_d[99]
DF$na_rd <- DF$na_relig & DF$na_denom
DF$rv[DF$na_rd] <- "No answer"
# Don't know
DF$dk_relig <- DF$relig == c_r[98]
DF$rv[DF$dk_relig] <- "Don't know"
## FINISHING IT =================================================
# Return the character vector with recoded religion
return(DF$rv)
}