R/make_sps/make_arrest_sps.R
In jacobkap/crime_data: Clean FBI data
source(here::here('R/make_sps/make_sps_utils.R'))
# Setup value labels ------------------------------------------------------
agency_header_values <- c(state_group_division_value_labels,
"identifier_code = ",
"3 = ASR master file",
"agency_header_designation = ",
"00 = agency header",
"suburban = ",
"1 = suburban",
"0 = non-suburban",
"core_city = ",
"Y = agency is core city of an MSA",
"N = agency is not a core city of an MSA",
"covered_by = ",
"0 = not covered by another agency",
"1 = covered by another agency")
monthly_header_values <- c(state_group_division_value_labels,
"identifier_code = ",
"3 = ASR master file",
"monthly_header_designation = ",
"000 = monthly header",
"breakdown_indicator = ",
" = totals and breakdowns for both offenses of drugs and gambling",
"1 = totals for both but no breakdowns for either",
"2 = totals for drugs but no breakdowns",
"3 = totals for gambling but no breakdowns",
"age_race_ethnicity_indicator = ",
" = data for age, race, and ethnic origin",
"2 = no race information",
"3 = no ethnic origin information",
"4 = no race or ethnic origin information",
"juv_and_adult_indicators = ",
" = data for juvenile and adult",
"1 = no adult information",
"2 = no juvenile information",
"zero_data_indicator = ",
"0 = not used",
"1 = reported no data",
"juv_disposition_indicator = ",
" = update juvenile disposition data",
"1 = no juvenile disposition data",
"2 = delete juvenile disposition data",
"3 = adjust juvenile disposition data",
"month = ",
"1 = january",
"2 = february",
"3 = march",
"4 = april",
"5 = may",
"6 = june",
"7 = july",
"8 = august",
"9 = september",
"10 = october",
"11 = november",
"12 = december")
offense_codes <- c("identifier_code = ",
"3 = ASR master file",
"month = ",
"1 = january",
"2 = february",
"3 = march",
"4 = april",
"5 = may",
"6 = june",
"7 = july",
"8 = august",
"9 = september",
"10 = october",
"11 = november",
"12 = december",
"offense_code = ",
"000 = monthly header",
"01A = murder",
"01B = manslaught_neg",
"02 = rape",
"03 = robbery",
"04 = agg_assault",
"05 = burglary",
"06 = theft",
"07 = mtr_veh_theft",
"08 = oth_assault",
"09 = arson",
"10 = forgery",
"11 = fraud",
"12 = embezzlement",
"13 = stolen_prop",
"14 = vandalism",
"15 = weapons",
"16 = prostitution",
"17 = oth_sex_off",
"18 = total_drug",
"180 = sale_drug_total",
"18A = sale_heroin_coke",
"18B = sale_cannabis",
"18C = sale_synth_narc",
"18D = sale_other_drug",
"185 = poss_drug_total",
"18E = poss_heroin_coke",
"18F = poss_cannabis",
"18G = poss_synth_narc",
"18H = poss_other_drug",
"19 = gamble_total",
"19A = gamble_bookmake",
"19B = gamble_lottery",
"19C = gamble_other",
"20 = family_off",
"21 = dui",
"22 = liquor",
"23 = drunkenness",
"24 = disorder_cond",
"25 = vagrancy",
"26 = all_other",
"27 = suspicion",
"28 = curfew_loiter",
"29 = runaways",
# 1974-1979 have extra 0 for these
"200 = family_off",
"210 = dui",
"220 = liquor",
"230 = drunkenness",
"240 = disorder_cond",
"250 = vagrancy",
"260 = all_other",
"270 = suspicion",
"280 = curfew_loiter",
"290 = runaways")
arrest_code_values_1980 <- c("arrest_code_num = ",
"001 = male_under_10",
"002 = male_10_12",
"003 = male_13_14",
"004 = male_15",
"005 = male_16",
"006 = male_17",
"007 = male_18",
"008 = male_19",
"009 = male_20",
"010 = male_21",
"011 = male_22",
"012 = male_23",
"013 = male_24",
"014 = male_25_29",
"015 = male_30_34",
"016 = male_35_39",
"017 = male_40_44",
"018 = male_45_49",
"019 = male_50_54",
"020 = male_55_59",
"021 = male_60_64",
"022 = male_over_64",
"023 = female_under_10",
"024 = female_10_12",
"025 = female_13_14",
"026 = female_15",
"027 = female_16",
"028 = female_17",
"029 = female_18",
"030 = female_19",
"031 = female_20",
"032 = female_21",
"033 = female_22",
"034 = female_23",
"035 = female_24",
"036 = female_25_29",
"037 = female_30_34",
"038 = female_35_39",
"039 = female_40_44",
"040 = female_45_49",
"041 = female_50_54",
"042 = female_55_59",
"043 = female_60_64",
"044 = female_over_64",
"045 = adult_white",
"046 = adult_black",
"047 = adult_amer_ind",
"048 = adult_asian",
"049 = juv_white",
"050 = juv_black",
"051 = juv_amer_ind",
"052 = juv_asian",
"053 = adult_hispanic",
"054 = adult_non_hisp",
"055 = juv_hispanic",
"056 = juv_non_hisp")
arrest_code_values_1980_final <- c()
for (i in 1:55) {
arrest_code_values_1980_final <- c(arrest_code_values_1980_final,
gsub("num", i, arrest_code_values_1980))
}
arrest_code_values_1974 <- c("arrest_code_num = ",
"001 = male_under_11",
"002 = male_11_12",
"003 = male_13_14",
"004 = male_15",
"005 = male_16",
"006 = male_17",
"007 = male_juvenile_unknown_age",
"008 = male_18",
"009 = male_19",
"010 = male_20",
"011 = male_21",
"012 = male_22",
"013 = male_23",
"014 = male_24",
"015 = male_25_29",
"016 = male_30_34",
"017 = male_35_39",
"018 = male_40_44",
"019 = male_45_49",
"020 = male_50_54",
"021 = male_55_59",
"022 = male_60_64",
"023 = male_over_64",
"024 = male_adult_unknown_age",
"025 = female_under_11",
"026 = female_11_12",
"027 = female_13_14",
"028 = female_15",
"029 = female_16",
"030 = female_17",
"031 = female_juvenile_unknown_age",
"032 = female_18",
"033 = female_19",
"034 = female_20",
"035 = female_21",
"036 = female_22",
"037 = female_23",
"038 = female_24",
"039 = female_25_29",
"040 = female_30_34",
"041 = female_35_39",
"042 = female_40_44",
"043 = female_45_49",
"044 = female_50_54",
"045 = female_55_59",
"046 = female_60_64",
"047 = female_over_64",
"048 = female_adult_unknown_age",
"049 = adult_white",
"050 = adult_black",
"051 = adult_amer_ind",
"052 = adult_chinese",
"053 = adult_japanese",
"054 = adult_other",
"055 = juv_white",
"056 = juv_black",
"057 = juv_amer_ind",
"058 = juv_chinese",
"059 = juv_japanese",
"060 = juv_other")
arrest_code_values_1974_final <- c()
for (i in 1:55) {
arrest_code_values_1974_final <- c(arrest_code_values_1974_final,
gsub("num", i, arrest_code_values_1974))
}
detail_header_value_labels_1980 <- c(state_group_division_value_labels,
offense_codes,
arrest_code_values_1980_final)
detail_header_value_labels_1974 <- c(state_group_division_value_labels,
offense_codes,
arrest_code_values_1974_final)
# Setup column numbers and names ------------------------------------------
agency_header_cols_1980 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21-23",
"24-28",
"29",
"30",
"31",
"32-40",
"41-64",
"65-70")
agency_header_names_1980 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"agency_header_designation",
"year",
"msa",
"county",
"sequence_number",
"suburban",
"core_city",
"covered_by",
"population",
"agency_name",
"state_name")
monthly_header_cols_1980 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21",
"22",
"23",
"24",
"25-31",
"32-38",
"39-45",
"46",
"47-51",
"52-56",
"57-61",
"62-66",
"67-71")
monthly_header_names_1980 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"month",
"year",
"monthly_header_designation",
"breakdown_indicator",
"age_race_ethnicity_indicator",
"juv_and_adult_indicators",
"zero_data_indicator",
"date_of_last_update",
"date_of_1st_previous_update",
"date_of_2nd_previous_update",
"juv_disposition_indicator",
"juv_handled_within_department",
"juv_referred_to_juv_court",
"juv_referred_to_welfare",
"juv_referred_to_police",
"juv_referred_to_crim_court")
detail_header_cols_1980 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21-23")
detail_header_names_1980 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"month",
"year",
"offense_code",
"occurrences")
arrest_codes_1980 <- c("24-26",
"27-31")
arrest_codes_1980 <- c(arrest_codes_1980,
setup_num_adder(arrest_codes_1980, adder = 8, iterations = 55))
arrest_names_1980 <- paste0(c("arrest_code_", "arrest_counter_"), sort(rep(1:56, 2)))
detail_header_cols_1980 <- c(detail_header_cols_1980, arrest_codes_1980)
detail_header_names_1980 <- c(detail_header_names_1980, arrest_names_1980)
# Setup files for 1974-1979 -----------------------------------------------
agency_header_cols_1974 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21-23",
"24-28",
"29",
"30",
"31",
"32-38",
"39",
"40-63",
"64-69")
agency_header_names_1974 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"agency_header_designation",
"year",
"msa",
"county",
"sequence_number",
"suburban",
"core_city",
"covered_by",
"population",
"agency_count",
"agency_name",
"state_name")
monthly_header_cols_1974 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21",
"22",
"23",
"24",
"25-31",
"32-38",
"39-45",
"46",
"47-51",
"52-56",
"57-61",
"62-66",
"67-71")
monthly_header_names_1974 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"month",
"year",
"monthly_header_designation",
"breakdown_indicator",
"age_race_ethnicity_indicator",
"juv_and_adult_indicators",
"zero_data_indicator",
"date_of_last_update",
"date_of_1st_previous_update",
"date_of_2nd_previous_update",
"juv_disposition_indicator",
"juv_handled_within_department",
"juv_referred_to_juv_court",
"juv_referred_to_welfare",
"juv_referred_to_police",
"juv_referred_to_crim_court")
detail_header_cols_1974 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21-23")
detail_header_names_1974 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"month",
"year",
"offense_code",
"occurrences")
arrest_codes_1974 <- c("24-26",
"27-31")
arrest_codes_1974 <- c(arrest_codes_1974,
setup_num_adder(arrest_codes_1974, adder = 8, iterations = 59))
arrest_names_1974 <- paste0(c("arrest_code_", "arrest_counter_"), sort(rep(1:60, 2)))
detail_header_cols_1974 <- c(detail_header_cols_1974, arrest_codes_1974)
detail_header_names_1974 <- c(detail_header_names_1974, arrest_names_1974)
setwd(here::here("setup_files"))
asciiSetupReader::make_sps_setup(file_name = "arrests_agency_header_1980_present",
col_positions = agency_header_cols_1980,
col_labels = agency_header_names_1980,
value_labels = agency_header_values)
asciiSetupReader::make_sps_setup(file_name = "arrests_monthly_header_1980_present",
col_positions = monthly_header_cols_1980,
col_labels = monthly_header_names_1980,
value_labels = monthly_header_values)
asciiSetupReader::make_sps_setup(file_name = "arrests_detail_header_1980_present",
col_positions = detail_header_cols_1980,
col_labels = detail_header_names_1980,
value_labels = detail_header_value_labels_1980)
asciiSetupReader::make_sps_setup(file_name = "arrests_agency_header_1974_1979",
col_positions = agency_header_cols_1974,
col_labels = agency_header_names_1974,
value_labels = agency_header_values)
asciiSetupReader::make_sps_setup(file_name = "arrests_monthly_header_1974_1979",
col_positions = monthly_header_cols_1974,
col_labels = monthly_header_names_1974,
value_labels = monthly_header_values)
asciiSetupReader::make_sps_setup(file_name = "arrests_detail_header_1974_1979",
col_positions = detail_header_cols_1974,
col_labels = detail_header_names_1974,
value_labels = detail_header_value_labels_1974)
jacobkap/crime_data documentation built on April 16, 2023, 11:58 p.m.
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source(here::here('R/make_sps/make_sps_utils.R'))
# Setup value labels ------------------------------------------------------
agency_header_values <- c(state_group_division_value_labels,
"identifier_code = ",
"3 = ASR master file",
"agency_header_designation = ",
"00 = agency header",
"suburban = ",
"1 = suburban",
"0 = non-suburban",
"core_city = ",
"Y = agency is core city of an MSA",
"N = agency is not a core city of an MSA",
"covered_by = ",
"0 = not covered by another agency",
"1 = covered by another agency")
monthly_header_values <- c(state_group_division_value_labels,
"identifier_code = ",
"3 = ASR master file",
"monthly_header_designation = ",
"000 = monthly header",
"breakdown_indicator = ",
" = totals and breakdowns for both offenses of drugs and gambling",
"1 = totals for both but no breakdowns for either",
"2 = totals for drugs but no breakdowns",
"3 = totals for gambling but no breakdowns",
"age_race_ethnicity_indicator = ",
" = data for age, race, and ethnic origin",
"2 = no race information",
"3 = no ethnic origin information",
"4 = no race or ethnic origin information",
"juv_and_adult_indicators = ",
" = data for juvenile and adult",
"1 = no adult information",
"2 = no juvenile information",
"zero_data_indicator = ",
"0 = not used",
"1 = reported no data",
"juv_disposition_indicator = ",
" = update juvenile disposition data",
"1 = no juvenile disposition data",
"2 = delete juvenile disposition data",
"3 = adjust juvenile disposition data",
"month = ",
"1 = january",
"2 = february",
"3 = march",
"4 = april",
"5 = may",
"6 = june",
"7 = july",
"8 = august",
"9 = september",
"10 = october",
"11 = november",
"12 = december")
offense_codes <- c("identifier_code = ",
"3 = ASR master file",
"month = ",
"1 = january",
"2 = february",
"3 = march",
"4 = april",
"5 = may",
"6 = june",
"7 = july",
"8 = august",
"9 = september",
"10 = october",
"11 = november",
"12 = december",
"offense_code = ",
"000 = monthly header",
"01A = murder",
"01B = manslaught_neg",
"02 = rape",
"03 = robbery",
"04 = agg_assault",
"05 = burglary",
"06 = theft",
"07 = mtr_veh_theft",
"08 = oth_assault",
"09 = arson",
"10 = forgery",
"11 = fraud",
"12 = embezzlement",
"13 = stolen_prop",
"14 = vandalism",
"15 = weapons",
"16 = prostitution",
"17 = oth_sex_off",
"18 = total_drug",
"180 = sale_drug_total",
"18A = sale_heroin_coke",
"18B = sale_cannabis",
"18C = sale_synth_narc",
"18D = sale_other_drug",
"185 = poss_drug_total",
"18E = poss_heroin_coke",
"18F = poss_cannabis",
"18G = poss_synth_narc",
"18H = poss_other_drug",
"19 = gamble_total",
"19A = gamble_bookmake",
"19B = gamble_lottery",
"19C = gamble_other",
"20 = family_off",
"21 = dui",
"22 = liquor",
"23 = drunkenness",
"24 = disorder_cond",
"25 = vagrancy",
"26 = all_other",
"27 = suspicion",
"28 = curfew_loiter",
"29 = runaways",
# 1974-1979 have extra 0 for these
"200 = family_off",
"210 = dui",
"220 = liquor",
"230 = drunkenness",
"240 = disorder_cond",
"250 = vagrancy",
"260 = all_other",
"270 = suspicion",
"280 = curfew_loiter",
"290 = runaways")
arrest_code_values_1980 <- c("arrest_code_num = ",
"001 = male_under_10",
"002 = male_10_12",
"003 = male_13_14",
"004 = male_15",
"005 = male_16",
"006 = male_17",
"007 = male_18",
"008 = male_19",
"009 = male_20",
"010 = male_21",
"011 = male_22",
"012 = male_23",
"013 = male_24",
"014 = male_25_29",
"015 = male_30_34",
"016 = male_35_39",
"017 = male_40_44",
"018 = male_45_49",
"019 = male_50_54",
"020 = male_55_59",
"021 = male_60_64",
"022 = male_over_64",
"023 = female_under_10",
"024 = female_10_12",
"025 = female_13_14",
"026 = female_15",
"027 = female_16",
"028 = female_17",
"029 = female_18",
"030 = female_19",
"031 = female_20",
"032 = female_21",
"033 = female_22",
"034 = female_23",
"035 = female_24",
"036 = female_25_29",
"037 = female_30_34",
"038 = female_35_39",
"039 = female_40_44",
"040 = female_45_49",
"041 = female_50_54",
"042 = female_55_59",
"043 = female_60_64",
"044 = female_over_64",
"045 = adult_white",
"046 = adult_black",
"047 = adult_amer_ind",
"048 = adult_asian",
"049 = juv_white",
"050 = juv_black",
"051 = juv_amer_ind",
"052 = juv_asian",
"053 = adult_hispanic",
"054 = adult_non_hisp",
"055 = juv_hispanic",
"056 = juv_non_hisp")
arrest_code_values_1980_final <- c()
for (i in 1:55) {
arrest_code_values_1980_final <- c(arrest_code_values_1980_final,
gsub("num", i, arrest_code_values_1980))
}
arrest_code_values_1974 <- c("arrest_code_num = ",
"001 = male_under_11",
"002 = male_11_12",
"003 = male_13_14",
"004 = male_15",
"005 = male_16",
"006 = male_17",
"007 = male_juvenile_unknown_age",
"008 = male_18",
"009 = male_19",
"010 = male_20",
"011 = male_21",
"012 = male_22",
"013 = male_23",
"014 = male_24",
"015 = male_25_29",
"016 = male_30_34",
"017 = male_35_39",
"018 = male_40_44",
"019 = male_45_49",
"020 = male_50_54",
"021 = male_55_59",
"022 = male_60_64",
"023 = male_over_64",
"024 = male_adult_unknown_age",
"025 = female_under_11",
"026 = female_11_12",
"027 = female_13_14",
"028 = female_15",
"029 = female_16",
"030 = female_17",
"031 = female_juvenile_unknown_age",
"032 = female_18",
"033 = female_19",
"034 = female_20",
"035 = female_21",
"036 = female_22",
"037 = female_23",
"038 = female_24",
"039 = female_25_29",
"040 = female_30_34",
"041 = female_35_39",
"042 = female_40_44",
"043 = female_45_49",
"044 = female_50_54",
"045 = female_55_59",
"046 = female_60_64",
"047 = female_over_64",
"048 = female_adult_unknown_age",
"049 = adult_white",
"050 = adult_black",
"051 = adult_amer_ind",
"052 = adult_chinese",
"053 = adult_japanese",
"054 = adult_other",
"055 = juv_white",
"056 = juv_black",
"057 = juv_amer_ind",
"058 = juv_chinese",
"059 = juv_japanese",
"060 = juv_other")
arrest_code_values_1974_final <- c()
for (i in 1:55) {
arrest_code_values_1974_final <- c(arrest_code_values_1974_final,
gsub("num", i, arrest_code_values_1974))
}
detail_header_value_labels_1980 <- c(state_group_division_value_labels,
offense_codes,
arrest_code_values_1980_final)
detail_header_value_labels_1974 <- c(state_group_division_value_labels,
offense_codes,
arrest_code_values_1974_final)
# Setup column numbers and names ------------------------------------------
agency_header_cols_1980 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21-23",
"24-28",
"29",
"30",
"31",
"32-40",
"41-64",
"65-70")
agency_header_names_1980 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"agency_header_designation",
"year",
"msa",
"county",
"sequence_number",
"suburban",
"core_city",
"covered_by",
"population",
"agency_name",
"state_name")
monthly_header_cols_1980 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21",
"22",
"23",
"24",
"25-31",
"32-38",
"39-45",
"46",
"47-51",
"52-56",
"57-61",
"62-66",
"67-71")
monthly_header_names_1980 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"month",
"year",
"monthly_header_designation",
"breakdown_indicator",
"age_race_ethnicity_indicator",
"juv_and_adult_indicators",
"zero_data_indicator",
"date_of_last_update",
"date_of_1st_previous_update",
"date_of_2nd_previous_update",
"juv_disposition_indicator",
"juv_handled_within_department",
"juv_referred_to_juv_court",
"juv_referred_to_welfare",
"juv_referred_to_police",
"juv_referred_to_crim_court")
detail_header_cols_1980 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21-23")
detail_header_names_1980 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"month",
"year",
"offense_code",
"occurrences")
arrest_codes_1980 <- c("24-26",
"27-31")
arrest_codes_1980 <- c(arrest_codes_1980,
setup_num_adder(arrest_codes_1980, adder = 8, iterations = 55))
arrest_names_1980 <- paste0(c("arrest_code_", "arrest_counter_"), sort(rep(1:56, 2)))
detail_header_cols_1980 <- c(detail_header_cols_1980, arrest_codes_1980)
detail_header_names_1980 <- c(detail_header_names_1980, arrest_names_1980)
# Setup files for 1974-1979 -----------------------------------------------
agency_header_cols_1974 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21-23",
"24-28",
"29",
"30",
"31",
"32-38",
"39",
"40-63",
"64-69")
agency_header_names_1974 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"agency_header_designation",
"year",
"msa",
"county",
"sequence_number",
"suburban",
"core_city",
"covered_by",
"population",
"agency_count",
"agency_name",
"state_name")
monthly_header_cols_1974 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21",
"22",
"23",
"24",
"25-31",
"32-38",
"39-45",
"46",
"47-51",
"52-56",
"57-61",
"62-66",
"67-71")
monthly_header_names_1974 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"month",
"year",
"monthly_header_designation",
"breakdown_indicator",
"age_race_ethnicity_indicator",
"juv_and_adult_indicators",
"zero_data_indicator",
"date_of_last_update",
"date_of_1st_previous_update",
"date_of_2nd_previous_update",
"juv_disposition_indicator",
"juv_handled_within_department",
"juv_referred_to_juv_court",
"juv_referred_to_welfare",
"juv_referred_to_police",
"juv_referred_to_crim_court")
detail_header_cols_1974 <- c("1",
"2-3",
"4-10",
"11-12",
"13",
"14-15",
"16-17",
"18-20",
"21-23")
detail_header_names_1974 <- c("identifier_code",
"state",
"ori",
"population_group",
"country_division",
"month",
"year",
"offense_code",
"occurrences")
arrest_codes_1974 <- c("24-26",
"27-31")
arrest_codes_1974 <- c(arrest_codes_1974,
setup_num_adder(arrest_codes_1974, adder = 8, iterations = 59))
arrest_names_1974 <- paste0(c("arrest_code_", "arrest_counter_"), sort(rep(1:60, 2)))
detail_header_cols_1974 <- c(detail_header_cols_1974, arrest_codes_1974)
detail_header_names_1974 <- c(detail_header_names_1974, arrest_names_1974)
setwd(here::here("setup_files"))
asciiSetupReader::make_sps_setup(file_name = "arrests_agency_header_1980_present",
col_positions = agency_header_cols_1980,
col_labels = agency_header_names_1980,
value_labels = agency_header_values)
asciiSetupReader::make_sps_setup(file_name = "arrests_monthly_header_1980_present",
col_positions = monthly_header_cols_1980,
col_labels = monthly_header_names_1980,
value_labels = monthly_header_values)
asciiSetupReader::make_sps_setup(file_name = "arrests_detail_header_1980_present",
col_positions = detail_header_cols_1980,
col_labels = detail_header_names_1980,
value_labels = detail_header_value_labels_1980)
asciiSetupReader::make_sps_setup(file_name = "arrests_agency_header_1974_1979",
col_positions = agency_header_cols_1974,
col_labels = agency_header_names_1974,
value_labels = agency_header_values)
asciiSetupReader::make_sps_setup(file_name = "arrests_monthly_header_1974_1979",
col_positions = monthly_header_cols_1974,
col_labels = monthly_header_names_1974,
value_labels = monthly_header_values)
asciiSetupReader::make_sps_setup(file_name = "arrests_detail_header_1974_1979",
col_positions = detail_header_cols_1974,
col_labels = detail_header_names_1974,
value_labels = detail_header_value_labels_1974)
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