11_18_meeting_report
Siyang Ni
2022-11-18
Note
For every variable, Column %(NA-) reports the frequency without any NAs. I also reported the cumulative frequency in column cum.%(NA-).
I also plotted the frequency for each variable, giving a more intuitive way of digesting the frequency information. All NAs are indicated by the “last” bar of the histogram, unless otherwise indicated.
Loading datasets
setwd("D:/research/Monitoring-The-Future/mtf_19_12")
load("D:/research/Monitoring-The-Future/mtf_19_12/DS0001/37841-0001-Data.rda")
core <- da37841.0001
rm(da37841.0001)
load("D:/research/Monitoring-The-Future/mtf_19_12/DS0002/37841-0002-Data.rda")
ds2 <- da37841.0002
rm(da37841.0002)
load("D:/research/Monitoring-The-Future/mtf_19_12/DS0003/37841-0003-Data.rda")
ds3 <- da37841.0003
rm(da37841.0003)
load("D:/research/Monitoring-The-Future/mtf_19_12/DS0004/37841-0004-Data.rda")
ds4 <- da37841.0004
rm(da37841.0004)
load("D:/research/Monitoring-The-Future/mtf_19_12/DS0005/37841-0005-Data.rda")
ds5 <- da37841.0005
rm(da37841.0005)
load("D:/research/Monitoring-The-Future/mtf_19_12/DS0006/37841-0006-Data.rda")
ds6 <- da37841.0006
rm(da37841.0006)
load("D:/research/Monitoring-The-Future/mtf_19_12/DS0007/37841-0007-Data.rda")
ds7 <- da37841.0007
rm(da37841.0007)
load("D:/research/Monitoring-The-Future/mtf_19_12/DS0008/37841-0008-Data.rda")
ds8 <- da37841.0008
rm(da37841.0008)
load("D:/research/Monitoring-The-Future/mtf_19_12/DS0009/37841-0009-Data.rda")
ds9 <- da37841.0009
rm(da37841.0009)Delinquency Variables
Load relevant packages
library(epiDisplay)## Warning: package 'epiDisplay' was built under R version 4.2.2## Loading required package: foreign## Loading required package: survival## Loading required package: MASS## Loading required package: nnet00650:#X/12MO R TCKTD
Within the LAST 12 MONTHS, how many times, if any, have you received a ticket (OR been stopped and warned) for moving violations, such as speeding, running a stop light, or improper passing?
0=“None” 1=“Once” 2=“Twice” 3=“Three times” 4=“Four or more times”
tab1(core$V2197, cum.percent = TRUE)
## core$V2197 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NONE:(0) 10152 74.0 74.0 83.3 83.3
## (1) ONCE:(1) 1371 10.0 84.0 11.3 94.6
## (2) TWICE:(2) 430 3.1 87.2 3.5 98.1
## (3) 3 TIMES:(3) 142 1.0 88.2 1.2 99.3
## (4) 4+ TIMES:(4) 90 0.7 88.9 0.7 100.0
## NA's 1528 11.1 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1197, cum.percent = TRUE)
## ds2$V1197 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NONE:(0) 1589 69.6 69.6 86.4 86.4
## (1) ONCE:(1) 178 7.8 77.4 9.7 96.0
## (2) TWICE:(2) 47 2.1 79.4 2.6 98.6
## (3) 3 TIMES:(3) 12 0.5 79.9 0.7 99.2
## (4) 4+ TIMES:(4) 14 0.6 80.6 0.8 100.0
## NA's 444 19.4 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2197, cum.percent = TRUE)
## ds3$V2197 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NONE:(0) 1734 75.4 75.4 81.9 81.9
## (1) ONCE:(1) 260 11.3 86.7 12.3 94.2
## (2) TWICE:(2) 74 3.2 90.0 3.5 97.7
## (3) 3 TIMES:(3) 32 1.4 91.3 1.5 99.2
## (4) 4+ TIMES:(4) 16 0.7 92.0 0.8 100.0
## NA's 183 8.0 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3197, cum.percent = TRUE)
## ds4$V3197 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NONE:(0) 1689 74.5 74.5 82.8 82.8
## (1) ONCE:(1) 229 10.1 84.6 11.2 94.0
## (2) TWICE:(2) 82 3.6 88.3 4.0 98.0
## (3) 3 TIMES:(3) 21 0.9 89.2 1.0 99.1
## (4) 4+ TIMES:(4) 19 0.8 90.0 0.9 100.0
## NA's 226 10.0 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4197, cum.percent = TRUE)
## ds5$V4197 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NONE:(0) 1711 74.0 74.0 82.9 82.9
## (1) ONCE:(1) 232 10.0 84.0 11.2 94.1
## (2) TWICE:(2) 76 3.3 87.3 3.7 97.8
## (3) 3 TIMES:(3) 25 1.1 88.4 1.2 99.0
## (4) 4+ TIMES:(4) 21 0.9 89.3 1.0 100.0
## NA's 248 10.7 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5197, cum.percent = TRUE)
## ds6$V5197 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NONE:(0) 1699 74.7 74.7 82.2 82.2
## (1) ONCE:(1) 247 10.9 85.6 12.0 94.2
## (2) TWICE:(2) 88 3.9 89.4 4.3 98.5
## (3) 3 TIMES:(3) 21 0.9 90.4 1.0 99.5
## (4) 4+ TIMES:(4) 11 0.5 90.9 0.5 100.0
## NA's 208 9.1 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6197, cum.percent = TRUE)
## ds7$V6197 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NONE:(0) 1730 76.0 76.0 84.1 84.1
## (1) ONCE:(1) 225 9.9 85.9 10.9 95.0
## (2) TWICE:(2) 63 2.8 88.6 3.1 98.1
## (3) 3 TIMES:(3) 31 1.4 90.0 1.5 99.6
## (4) 4+ TIMES:(4) 9 0.4 90.4 0.4 100.0
## NA's 219 9.6 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.006520:FRQ FIGHT PARNTS
how often have you . . . argued or had a fight with either of your parents?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times” Data from the Western Region intentionally obliterated.
tab1(ds3$V2279, cum.percent = TRUE)
## ds3$V2279 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 323 14.0 14.0 17.6 17.6
## (2) ONCE:(2) 257 11.2 25.2 14.0 31.6
## (3) TWICE:(3) 288 12.5 37.8 15.7 47.3
## (4) 3-4TIMES:(4) 434 18.9 56.6 23.6 70.9
## (5) 5+ TIMES:(5) 535 23.3 79.9 29.1 100.0
## NA's 462 20.1 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006530:FRQ HIT SUPRVISR
During the LAST 12 MONTHS, how often have you . . . hit an instructor or supervisor?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2280, cum.percent = TRUE)
## ds3$V2280 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2198 95.6 95.6 97.9 97.9
## (2) ONCE:(2) 23 1.0 96.6 1.0 98.9
## (3) TWICE:(3) 8 0.3 97.0 0.4 99.2
## (4) 3-4TIMES:(4) 9 0.4 97.3 0.4 99.6
## (5) 5+ TIMES:(5) 8 0.3 97.7 0.4 100.0
## NA's 53 2.3 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006540:FRQ FGT WRK/SCHL
During the LAST 12 MONTHS, how often have you . . . gotten into a serious fight in school or at work?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2281, cum.percent = TRUE)
## ds3$V2281 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2000 87.0 87.0 89.2 89.2
## (2) ONCE:(2) 136 5.9 92.9 6.1 95.3
## (3) TWICE:(3) 61 2.7 95.6 2.7 98.0
## (4) 3-4TIMES:(4) 19 0.8 96.4 0.8 98.8
## (5) 5+ TIMES:(5) 26 1.1 97.5 1.2 100.0
## NA's 57 2.5 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006550:FRQ GANG FIGHT
During the LAST 12 MONTHS, how often have you . . . taken part in a fight where a group of your friends were against another group?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2282, cum.percent = TRUE)
## ds3$V2282 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 1936 84.2 84.2 86.4 86.4
## (2) ONCE:(2) 172 7.5 91.7 7.7 94.1
## (3) TWICE:(3) 60 2.6 94.3 2.7 96.8
## (4) 3-4TIMES:(4) 46 2.0 96.3 2.1 98.8
## (5) 5+ TIMES:(5) 26 1.1 97.4 1.2 100.0
## NA's 59 2.6 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006560:FRQ HURT SM1 BAD
During the LAST 12 MONTHS, how often have you . . . hurt someone badly enough to need bandages or a doctor?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2283, cum.percent = TRUE)
## ds3$V2283 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2064 89.8 89.8 92.1 92.1
## (2) ONCE:(2) 109 4.7 94.5 4.9 96.9
## (3) TWICE:(3) 37 1.6 96.1 1.7 98.6
## (4) 3-4TIMES:(4) 20 0.9 97.0 0.9 99.5
## (5) 5+ TIMES:(5) 12 0.5 97.5 0.5 100.0
## NA's 57 2.5 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006570:FRQ THREAT WEAPN
During the LAST 12 MONTHS, how often have you . . . used a knife or gun or some other thing (like a club) to get something from a person?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2284, cum.percent = TRUE)
## ds3$V2284 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2195 95.5 95.5 98.0 98.0
## (2) ONCE:(2) 19 0.8 96.3 0.8 98.9
## (3) TWICE:(3) 10 0.4 96.7 0.4 99.3
## (4) 3-4TIMES:(4) 7 0.3 97.0 0.3 99.6
## (5) 5+ TIMES:(5) 8 0.3 97.4 0.4 100.0
## NA's 60 2.6 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006580:FRQ STEAL <$50
During the LAST 12 MONTHS, how often have you . . . taken something not belonging to you worth under $50?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2285, cum.percent = TRUE)
## ds3$V2285 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 1787 77.7 77.7 79.7 79.7
## (2) ONCE:(2) 225 9.8 87.5 10.0 89.8
## (3) TWICE:(3) 108 4.7 92.2 4.8 94.6
## (4) 3-4TIMES:(4) 68 3.0 95.2 3.0 97.6
## (5) 5+ TIMES:(5) 53 2.3 97.5 2.4 100.0
## NA's 58 2.5 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006590:FRQ STEAL >$50
During the LAST 12 MONTHS, how often have you . . . taken something not belonging to you worth over $50?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2286, cum.percent = TRUE)
## ds3$V2286 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2097 91.2 91.2 93.9 93.9
## (2) ONCE:(2) 69 3.0 94.2 3.1 97.0
## (3) TWICE:(3) 31 1.3 95.6 1.4 98.3
## (4) 3-4TIMES:(4) 18 0.8 96.3 0.8 99.1
## (5) 5+ TIMES:(5) 19 0.8 97.2 0.9 100.0
## NA's 65 2.8 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006600:FRQ SHOPLIFT
During the LAST 12 MONTHS, how often have you . . . taken something from a store without paying for it?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2287, cum.percent = TRUE)
## ds3$V2287 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 1778 77.3 77.3 79.3 79.3
## (2) ONCE:(2) 233 10.1 87.5 10.4 89.7
## (3) TWICE:(3) 81 3.5 91.0 3.6 93.4
## (4) 3-4TIMES:(4) 77 3.3 94.3 3.4 96.8
## (5) 5+ TIMES:(5) 72 3.1 97.5 3.2 100.0
## NA's 58 2.5 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006610:FRQ CAR THEFT
During the LAST 12 MONTHS, how often have you . . . taken a car that didn’t belong to someone in your family without permission of the owner?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2288, cum.percent = TRUE)
## ds3$V2288 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2162 94.0 94.0 96.3 96.3
## (2) ONCE:(2) 42 1.8 95.9 1.9 98.2
## (3) TWICE:(3) 17 0.7 96.6 0.8 98.9
## (4) 3-4TIMES:(4) 9 0.4 97.0 0.4 99.3
## (5) 5+ TIMES:(5) 15 0.7 97.7 0.7 100.0
## NA's 54 2.3 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006620:FRQ STEAL CAR PT
During the LAST 12 MONTHS, how often have you . . . taken part of a car without permission of the owner?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2289, cum.percent = TRUE)
## ds3$V2289 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2173 94.5 94.5 96.9 96.9
## (2) ONCE:(2) 37 1.6 96.1 1.7 98.6
## (3) TWICE:(3) 11 0.5 96.6 0.5 99.1
## (4) 3-4TIMES:(4) 10 0.4 97.0 0.4 99.5
## (5) 5+ TIMES:(5) 11 0.5 97.5 0.5 100.0
## NA's 57 2.5 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006630:FRQ TRESPAS BLDG
During the LAST 12 MONTHS, how often have you . . . gone into some house or building when you weren’t supposed to be there?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2290, cum.percent = TRUE)
## ds3$V2290 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 1814 78.9 78.9 81.1 81.1
## (2) ONCE:(2) 219 9.5 88.4 9.8 90.9
## (3) TWICE:(3) 104 4.5 93.0 4.6 95.5
## (4) 3-4TIMES:(4) 63 2.7 95.7 2.8 98.3
## (5) 5+ TIMES:(5) 37 1.6 97.3 1.7 100.0
## NA's 62 2.7 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006640:FRQ ARSON
During the LAST 12 MONTHS, how often have you . . . set fire to someone’s property on purpose?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2291, cum.percent = TRUE)
## ds3$V2291 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2198 95.6 95.6 98.2 98.2
## (2) ONCE:(2) 16 0.7 96.3 0.7 98.9
## (3) TWICE:(3) 10 0.4 96.7 0.4 99.4
## (4) 3-4TIMES:(4) 6 0.3 97.0 0.3 99.6
## (5) 5+ TIMES:(5) 8 0.3 97.3 0.4 100.0
## NA's 61 2.7 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006650:FRQ DMG SCH PPTY
During the LAST 12 MONTHS, how often have you . . . damaged school property on purpose?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2292, cum.percent = TRUE)
## ds3$V2292 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2093 91.0 91.0 93.7 93.7
## (2) ONCE:(2) 83 3.6 94.6 3.7 97.4
## (3) TWICE:(3) 27 1.2 95.8 1.2 98.6
## (4) 3-4TIMES:(4) 15 0.7 96.5 0.7 99.3
## (5) 5+ TIMES:(5) 16 0.7 97.2 0.7 100.0
## NA's 65 2.8 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.006660:FRQ DMG WK PRPTY
During the LAST 12 MONTHS, how often have you . . . damaged property at work on purpose?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2293, cum.percent = TRUE)
## ds3$V2293 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2178 94.7 94.7 97.4 97.4
## (2) ONCE:(2) 31 1.3 96.1 1.4 98.7
## (3) TWICE:(3) 13 0.6 96.7 0.6 99.3
## (4) 3-4TIMES:(4) 9 0.4 97.0 0.4 99.7
## (5) 5+ TIMES:(5) 6 0.3 97.3 0.3 100.0
## NA's 62 2.7 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0Arrest Variable
25880:ARRSTD&TKN 2 POL
During the LAST 12 MONTHS, how often have you . . . been arrested and taken to a police station?
1=“Not At All” 2=“Once” 3=“Twice” 4=“3 or 4 Times” 5=“5 or More Times”
tab1(ds3$V2508, cum.percent = TRUE)
## ds3$V2508 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NOT @ALL:(1) 2163 94.1 94.1 96.6 96.6
## (2) ONCE:(2) 46 2.0 96.1 2.1 98.6
## (3) TWICE:(3) 14 0.6 96.7 0.6 99.2
## (4) 3-4TIMES:(4) 8 0.3 97.0 0.4 99.6
## (5) 5+ TIMES:(5) 9 0.4 97.4 0.4 100.0
## NA's 59 2.6 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0Substance Use Variable
00760:EVR SMK CIG,REGL
Have you ever smoked cigarettes?
1=“Never” 2=“Once or twice” 3=“Occasionally but not regularly” 4=“Regularly in the past” 5=“Regularly now”
tab1(core$V2101, cum.percent = TRUE)
## core$V2101 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NEVER:(1) 10277 74.9 74.9 78.0 78.0
## (2) 1-2X:(2) 1779 13.0 87.9 13.5 91.5
## (3) OCCASNLY:(3) 600 4.4 92.3 4.6 96.0
## (4) REG PAST:(4) 338 2.5 94.8 2.6 98.6
## (5) REG NOW:(5) 184 1.3 96.1 1.4 100.0
## NA's 535 3.9 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(core$V2101D, cum.percent = TRUE)
## core$V2101D :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NO: (0) 10277 74.9 74.9 78 78
## (1) YES: (1) 2901 21.2 96.1 22 100
## NA's 535 3.9 100.0 0 100
## Total 13713 100.0 100.0 100 100tab1(ds2$V1208, cum.percent = TRUE)
## ds2$V1208 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NEVER:(1) 1711 74.9 74.9 77.9 77.9
## (2) 1-2X:(2) 289 12.7 87.6 13.2 91.0
## (3) OCCASNLY:(3) 114 5.0 92.6 5.2 96.2
## (4) REG PAST:(4) 50 2.2 94.7 2.3 98.5
## (5) REG NOW:(5) 33 1.4 96.2 1.5 100.0
## NA's 87 3.8 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds4$V3101, cum.percent = TRUE)
## ds4$V3101 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NEVER:(1) 1658 73.2 73.2 77.1 77.1
## (2) 1-2X:(2) 304 13.4 86.6 14.1 91.3
## (3) OCCASNLY:(3) 93 4.1 90.7 4.3 95.6
## (4) REG PAST:(4) 62 2.7 93.4 2.9 98.5
## (5) REG NOW:(5) 33 1.5 94.9 1.5 100.0
## NA's 116 5.1 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4101, cum.percent = TRUE)
## ds5$V4101 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NEVER:(1) 1714 74.1 74.1 77.3 77.3
## (2) 1-2X:(2) 307 13.3 87.4 13.8 91.1
## (3) OCCASNLY:(3) 122 5.3 92.7 5.5 96.6
## (4) REG PAST:(4) 50 2.2 94.8 2.3 98.9
## (5) REG NOW:(5) 25 1.1 95.9 1.1 100.0
## NA's 95 4.1 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5101, cum.percent = TRUE)
## ds6$V5101 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NEVER:(1) 1729 76.0 76.0 78.6 78.6
## (2) 1-2X:(2) 295 13.0 89.0 13.4 92.0
## (3) OCCASNLY:(3) 84 3.7 92.7 3.8 95.8
## (4) REG PAST:(4) 56 2.5 95.2 2.5 98.3
## (5) REG NOW:(5) 37 1.6 96.8 1.7 100.0
## NA's 73 3.2 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6101, cum.percent = TRUE)
## ds7$V6101 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) NEVER:(1) 1764 77.5 77.5 80.5 80.5
## (2) 1-2X:(2) 270 11.9 89.3 12.3 92.8
## (3) OCCASNLY:(3) 87 3.8 93.1 4.0 96.8
## (4) REG PAST:(4) 50 2.2 95.3 2.3 99.0
## (5) REG NOW:(5) 21 0.9 96.3 1.0 100.0
## NA's 85 3.7 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.000820:#X DRNK/LAST12MO
On how many occasions (if any) have you had alcoholic beverages to drink–more than just a few sips . . . during the last 12 months?
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2105, cum.percent = TRUE)
## core$V2105 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 5861 42.7 42.7 46.0 46.0
## (2) 1-2X:(2) 2197 16.0 58.8 17.2 63.2
## (3) 3-5X:(3) 1628 11.9 70.6 12.8 76.0
## (4) 6-9X:(4) 1095 8.0 78.6 8.6 84.5
## (5) 10-19X:(5) 955 7.0 85.6 7.5 92.0
## (6) 20-39X:(6) 482 3.5 89.1 3.8 95.8
## (7) 40+OCCAS:(7) 534 3.9 93.0 4.2 100.0
## NA's 961 7.0 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(core$V2105D, cum.percent = TRUE)
## core$V2105D :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NO: (0) 5861 42.7 42.7 46 46
## (1) YES: (1) 6891 50.3 93.0 54 100
## NA's 961 7.0 100.0 0 100
## Total 13713 100.0 100.0 100 100tab1(ds2$V1215, cum.percent = TRUE)
## ds2$V1215 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 895 39.2 39.2 41.9 41.9
## (2) 1-2X:(2) 416 18.2 57.4 19.5 61.4
## (3) 3-5X:(3) 262 11.5 68.9 12.3 73.6
## (4) 6-9X:(4) 208 9.1 78.0 9.7 83.4
## (5) 10-19X:(5) 171 7.5 85.5 8.0 91.4
## (6) 20-39X:(6) 91 4.0 89.4 4.3 95.6
## (7) 40+OCCAS:(7) 93 4.1 93.5 4.4 100.0
## NA's 148 6.5 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2105, cum.percent = TRUE)
## ds3$V2105 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 947 41.2 41.2 44.1 44.1
## (2) 1-2X:(2) 357 15.5 56.7 16.6 60.8
## (3) 3-5X:(3) 303 13.2 69.9 14.1 74.9
## (4) 6-9X:(4) 192 8.4 78.3 9.0 83.9
## (5) 10-19X:(5) 172 7.5 85.7 8.0 91.9
## (6) 20-39X:(6) 74 3.2 89.0 3.4 95.3
## (7) 40+OCCAS:(7) 100 4.3 93.3 4.7 100.0
## NA's 154 6.7 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3105, cum.percent = TRUE)
## ds4$V3105 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 971 42.9 42.9 46.6 46.6
## (2) 1-2X:(2) 340 15.0 57.9 16.3 62.9
## (3) 3-5X:(3) 277 12.2 70.1 13.3 76.2
## (4) 6-9X:(4) 177 7.8 77.9 8.5 84.7
## (5) 10-19X:(5) 161 7.1 85.0 7.7 92.4
## (6) 20-39X:(6) 79 3.5 88.5 3.8 96.2
## (7) 40+OCCAS:(7) 79 3.5 92.0 3.8 100.0
## NA's 182 8.0 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4105, cum.percent = TRUE)
## ds5$V4105 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1008 43.6 43.6 47.3 47.3
## (2) 1-2X:(2) 388 16.8 60.4 18.2 65.4
## (3) 3-5X:(3) 256 11.1 71.4 12.0 77.4
## (4) 6-9X:(4) 160 6.9 78.3 7.5 85.0
## (5) 10-19X:(5) 155 6.7 85.0 7.3 92.2
## (6) 20-39X:(6) 84 3.6 88.7 3.9 96.2
## (7) 40+OCCAS:(7) 82 3.5 92.2 3.8 100.0
## NA's 180 7.8 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5105, cum.percent = TRUE)
## ds6$V5105 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1003 44.1 44.1 47.5 47.5
## (2) 1-2X:(2) 360 15.8 59.9 17.0 64.5
## (3) 3-5X:(3) 261 11.5 71.4 12.4 76.9
## (4) 6-9X:(4) 171 7.5 78.9 8.1 85.0
## (5) 10-19X:(5) 144 6.3 85.3 6.8 91.8
## (6) 20-39X:(6) 81 3.6 88.8 3.8 95.6
## (7) 40+OCCAS:(7) 93 4.1 92.9 4.4 100.0
## NA's 161 7.1 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6105, cum.percent = TRUE)
## ds7$V6105 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1037 45.5 45.5 48.4 48.4
## (2) 1-2X:(2) 336 14.8 60.3 15.7 64.1
## (3) 3-5X:(3) 269 11.8 72.1 12.6 76.7
## (4) 6-9X:(4) 187 8.2 80.3 8.7 85.4
## (5) 10-19X:(5) 152 6.7 87.0 7.1 92.5
## (6) 20-39X:(6) 73 3.2 90.2 3.4 95.9
## (7) 40+OCCAS:(7) 87 3.8 94.0 4.1 100.0
## NA's 136 6.0 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.000860:#XMJ+HS/LAST12MO
On how many occasions (if any) have you used marijuana (grass, pot) or hashish (hash, hash oil) . . . during the last 12 months?
[For form 1, item is recoded from separate marijuana and hashish questions, and “Dope” is given as another example of what marijuana is called.]
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2116, cum.percent = TRUE)
## core$V2116 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 8125 59.3 59.3 63.0 63.0
## (2) 1-2X:(2) 1359 9.9 69.2 10.5 73.6
## (3) 3-5X:(3) 746 5.4 74.6 5.8 79.4
## (4) 6-9X:(4) 486 3.5 78.1 3.8 83.1
## (5) 10-19X:(5) 532 3.9 82.0 4.1 87.2
## (6) 20-39X:(6) 418 3.0 85.1 3.2 90.5
## (7) 40+OCCAS:(7) 1226 8.9 94.0 9.5 100.0
## NA's 821 6.0 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(core$V2116D, cum.percent = TRUE)
## core$V2116D :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NO: (0) 8125 59.3 59.3 63 63
## (1) YES: (1) 4767 34.8 94.0 37 100
## NA's 821 6.0 100.0 0 100
## Total 13713 100.0 100.0 100 100tab1(ds2$V1116, cum.percent = TRUE)
## ds2$V1116 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1375 60.2 60.2 64.6 64.6
## (2) 1-2X:(2) 201 8.8 69.0 9.4 74.1
## (3) 3-5X:(3) 131 5.7 74.7 6.2 80.3
## (4) 6-9X:(4) 74 3.2 78.0 3.5 83.7
## (5) 10-19X:(5) 81 3.5 81.5 3.8 87.5
## (6) 20-39X:(6) 71 3.1 84.6 3.3 90.9
## (7) 40+OCCAS:(7) 194 8.5 93.1 9.1 100.0
## NA's 157 6.9 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2116, cum.percent = TRUE)
## ds3$V2116 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1334 58.0 58.0 61.5 61.5
## (2) 1-2X:(2) 230 10.0 68.0 10.6 72.1
## (3) 3-5X:(3) 115 5.0 73.0 5.3 77.4
## (4) 6-9X:(4) 92 4.0 77.0 4.2 81.7
## (5) 10-19X:(5) 106 4.6 81.6 4.9 86.5
## (6) 20-39X:(6) 81 3.5 85.2 3.7 90.3
## (7) 40+OCCAS:(7) 211 9.2 94.3 9.7 100.0
## NA's 130 5.7 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3116, cum.percent = TRUE)
## ds4$V3116 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1331 58.7 58.7 62.6 62.6
## (2) 1-2X:(2) 242 10.7 69.4 11.4 74.0
## (3) 3-5X:(3) 110 4.9 74.3 5.2 79.2
## (4) 6-9X:(4) 88 3.9 78.2 4.1 83.3
## (5) 10-19X:(5) 82 3.6 81.8 3.9 87.2
## (6) 20-39X:(6) 67 3.0 84.7 3.2 90.3
## (7) 40+OCCAS:(7) 206 9.1 93.8 9.7 100.0
## NA's 140 6.2 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4116, cum.percent = TRUE)
## ds5$V4116 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1350 58.4 58.4 62.3 62.3
## (2) 1-2X:(2) 236 10.2 68.6 10.9 73.2
## (3) 3-5X:(3) 137 5.9 74.5 6.3 79.5
## (4) 6-9X:(4) 82 3.5 78.0 3.8 83.3
## (5) 10-19X:(5) 88 3.8 81.8 4.1 87.4
## (6) 20-39X:(6) 74 3.2 85.0 3.4 90.8
## (7) 40+OCCAS:(7) 199 8.6 93.6 9.2 100.0
## NA's 147 6.4 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5116, cum.percent = TRUE)
## ds6$V5116 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1348 59.3 59.3 62.7 62.7
## (2) 1-2X:(2) 230 10.1 69.4 10.7 73.4
## (3) 3-5X:(3) 129 5.7 75.1 6.0 79.4
## (4) 6-9X:(4) 74 3.3 78.3 3.4 82.8
## (5) 10-19X:(5) 82 3.6 81.9 3.8 86.6
## (6) 20-39X:(6) 62 2.7 84.7 2.9 89.5
## (7) 40+OCCAS:(7) 226 9.9 94.6 10.5 100.0
## NA's 123 5.4 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6116, cum.percent = TRUE)
## ds7$V6116 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1387 60.9 60.9 64.4 64.4
## (2) 1-2X:(2) 220 9.7 70.6 10.2 74.6
## (3) 3-5X:(3) 124 5.4 76.0 5.8 80.4
## (4) 6-9X:(4) 76 3.3 79.4 3.5 83.9
## (5) 10-19X:(5) 93 4.1 83.4 4.3 88.2
## (6) 20-39X:(6) 63 2.8 86.2 2.9 91.2
## (7) 40+OCCAS:(7) 190 8.3 94.6 8.8 100.0
## NA's 124 5.4 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.000900:#X LSD/LAST 12MO
On how many occasions (if any) have you used LSD (“acid”) . . . during the last 12 months?
[Worded slightly differently in form 1; see form 1 codebook.]
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2119, cum.percent = TRUE)
## core$V2119 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 10475 76.4 76.4 96.3 96.3
## (2) 1-2X:(2) 259 1.9 78.3 2.4 98.7
## (3) 3-5X:(3) 73 0.5 78.8 0.7 99.3
## (4) 6-9X:(4) 33 0.2 79.0 0.3 99.7
## (5) 10-19X:(5) 15 0.1 79.2 0.1 99.8
## (6) 20-39X:(6) 8 0.1 79.2 0.1 99.9
## (7) 40+OCCAS:(7) 15 0.1 79.3 0.1 100.0
## NA's 2835 20.7 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(core$V2119D, cum.percent = TRUE)
## core$V2119D :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NO: (0) 10475 76.4 76.4 96.3 96.3
## (1) YES: (1) 403 2.9 79.3 3.7 100.0
## NA's 2835 20.7 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1285, cum.percent = TRUE)
## ds2$V1285 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2057 90.1 90.1 96.5 96.5
## (2) 1-2X:(2) 45 2.0 92.0 2.1 98.6
## (3) 3-5X:(3) 12 0.5 92.6 0.6 99.2
## (4) 6-9X:(4) 7 0.3 92.9 0.3 99.5
## (5) 10-19X:(5) 5 0.2 93.1 0.2 99.7
## (6) 20-39X:(6) 1 0.0 93.1 0.0 99.8
## (7) 40+OCCAS:(7) 5 0.2 93.3 0.2 100.0
## NA's 152 6.7 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2119, cum.percent = TRUE)
## ds3$V2119 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2124 92.4 92.4 96.3 96.3
## (2) 1-2X:(2) 58 2.5 94.9 2.6 98.9
## (3) 3-5X:(3) 11 0.5 95.4 0.5 99.4
## (4) 6-9X:(4) 7 0.3 95.7 0.3 99.7
## (5) 10-19X:(5) 2 0.1 95.8 0.1 99.8
## (6) 20-39X:(6) 1 0.0 95.8 0.0 99.9
## (7) 40+OCCAS:(7) 3 0.1 96.0 0.1 100.0
## NA's 93 4.0 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3119, cum.percent = TRUE)
## ds4$V3119 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2083 91.9 91.9 96.5 96.5
## (2) 1-2X:(2) 45 2.0 93.9 2.1 98.6
## (3) 3-5X:(3) 19 0.8 94.7 0.9 99.5
## (4) 6-9X:(4) 6 0.3 95.0 0.3 99.8
## (5) 10-19X:(5) 3 0.1 95.1 0.1 99.9
## (6) 20-39X:(6) 2 0.1 95.2 0.1 100.0
## (7) 40+OCCAS:(7) 0 0.0 95.2 0.0 100.0
## NA's 108 4.8 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4119, cum.percent = TRUE)
## ds5$V4119 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2123 91.8 91.8 96.5 96.5
## (2) 1-2X:(2) 53 2.3 94.1 2.4 98.9
## (3) 3-5X:(3) 10 0.4 94.5 0.5 99.4
## (4) 6-9X:(4) 8 0.3 94.9 0.4 99.7
## (5) 10-19X:(5) 2 0.1 94.9 0.1 99.8
## (6) 20-39X:(6) 1 0.0 95.0 0.0 99.9
## (7) 40+OCCAS:(7) 3 0.1 95.1 0.1 100.0
## NA's 113 4.9 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5119, cum.percent = TRUE)
## ds6$V5119 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2088 91.8 91.8 95.7 95.7
## (2) 1-2X:(2) 58 2.6 94.4 2.7 98.4
## (3) 3-5X:(3) 21 0.9 95.3 1.0 99.3
## (4) 6-9X:(4) 5 0.2 95.5 0.2 99.5
## (5) 10-19X:(5) 3 0.1 95.6 0.1 99.7
## (6) 20-39X:(6) 3 0.1 95.8 0.1 99.8
## (7) 40+OCCAS:(7) 4 0.2 96.0 0.2 100.0
## NA's 92 4.0 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.000960:#X COKE/LAST12MO
On how many occasions (if any) have you taken cocaine (sometimes called “coke”, “crack”, “rock”) . . . during last 12 months?
[For questionnaire forms 1, 3, 4, and 6, item is recoded from separate questions about “crack” (items 22260-22280) and other forms of cocaine (items 22320-22340).]
tab1(core$V2125, cum.percent = TRUE)
## core$V2125 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 12648 92.2 92.2 97.8 97.8
## (2) 1-2X:(2) 126 0.9 93.2 1.0 98.8
## (3) 3-5X:(3) 59 0.4 93.6 0.5 99.2
## (4) 6-9X:(4) 21 0.2 93.7 0.2 99.4
## (5) 10-19X:(5) 33 0.2 94.0 0.3 99.7
## (6) 20-39X:(6) 17 0.1 94.1 0.1 99.8
## (7) 40+OCCAS:(7) 28 0.2 94.3 0.2 100.0
## NA's 781 5.7 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1125, cum.percent = TRUE)
## ds2$V1125 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2001 87.6 87.6 98.5 98.5
## (2) 1-2X:(2) 9 0.4 88.0 0.4 98.9
## (3) 3-5X:(3) 6 0.3 88.3 0.3 99.2
## (4) 6-9X:(4) 3 0.1 88.4 0.1 99.4
## (5) 10-19X:(5) 5 0.2 88.6 0.2 99.6
## (6) 20-39X:(6) 4 0.2 88.8 0.2 99.8
## (7) 40+OCCAS:(7) 4 0.2 89.0 0.2 100.0
## NA's 252 11.0 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2125, cum.percent = TRUE)
## ds3$V2125 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2147 93.4 93.4 97.9 97.9
## (2) 1-2X:(2) 27 1.2 94.6 1.2 99.1
## (3) 3-5X:(3) 6 0.3 94.8 0.3 99.4
## (4) 6-9X:(4) 2 0.1 94.9 0.1 99.5
## (5) 10-19X:(5) 6 0.3 95.2 0.3 99.7
## (6) 20-39X:(6) 1 0.0 95.2 0.0 99.8
## (7) 40+OCCAS:(7) 5 0.2 95.4 0.2 100.0
## NA's 105 4.6 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3125, cum.percent = TRUE)
## ds4$V3125 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2097 92.5 92.5 97.4 97.4
## (2) 1-2X:(2) 21 0.9 93.5 1.0 98.3
## (3) 3-5X:(3) 18 0.8 94.3 0.8 99.2
## (4) 6-9X:(4) 6 0.3 94.5 0.3 99.4
## (5) 10-19X:(5) 5 0.2 94.7 0.2 99.7
## (6) 20-39X:(6) 3 0.1 94.9 0.1 99.8
## (7) 40+OCCAS:(7) 4 0.2 95.1 0.2 100.0
## NA's 112 4.9 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4125, cum.percent = TRUE)
## ds5$V4125 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2147 92.8 92.8 97.8 97.8
## (2) 1-2X:(2) 21 0.9 93.7 1.0 98.7
## (3) 3-5X:(3) 9 0.4 94.1 0.4 99.1
## (4) 6-9X:(4) 5 0.2 94.3 0.2 99.4
## (5) 10-19X:(5) 7 0.3 94.6 0.3 99.7
## (6) 20-39X:(6) 1 0.0 94.7 0.0 99.7
## (7) 40+OCCAS:(7) 6 0.3 94.9 0.3 100.0
## NA's 117 5.1 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5125, cum.percent = TRUE)
## ds6$V5125 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2125 93.4 93.4 97.4 97.4
## (2) 1-2X:(2) 25 1.1 94.5 1.1 98.6
## (3) 3-5X:(3) 14 0.6 95.2 0.6 99.2
## (4) 6-9X:(4) 3 0.1 95.3 0.1 99.4
## (5) 10-19X:(5) 7 0.3 95.6 0.3 99.7
## (6) 20-39X:(6) 2 0.1 95.7 0.1 99.8
## (7) 40+OCCAS:(7) 5 0.2 95.9 0.2 100.0
## NA's 93 4.1 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6125, cum.percent = TRUE)
## ds7$V6125 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2131 93.6 93.6 98.0 98.0
## (2) 1-2X:(2) 23 1.0 94.6 1.1 99.0
## (3) 3-5X:(3) 6 0.3 94.9 0.3 99.3
## (4) 6-9X:(4) 2 0.1 94.9 0.1 99.4
## (5) 10-19X:(5) 3 0.1 95.1 0.1 99.5
## (6) 20-39X:(6) 6 0.3 95.3 0.3 99.8
## (7) 40+OCCAS:(7) 4 0.2 95.5 0.2 100.0
## NA's 102 4.5 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.000990:#X AMPH/LAST12MO
{Amphetamines are sometimes prescribed by doctors for people who have trouble paying attention, are hyperactive, have ADHD, or have trouble staying awake. They are sometimes called uppers, ups, pep pills, and include drugs like Adderall and Ritalin. Drugstores are not supposed to sell them without a prescription from a doctor. Amphetamines
do NOT include any nonprescription drugs, such as over-the-counter diet pills or stay-awake pills.
[Questionnaire form 1 worded somewhat differently and also includes as examples: Benzedrine, Dexedrine, Methedrine, Ritalin, Adderall, Concerta, Methamphetamine, Meth or Crystal Meth (see form 1 codebook).]}
[All forms]: On how many occasions (if any) have you taken amphetamines on your own–that is, without a doctor telling you to take them . . . during the last 12 months?
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2128, cum.percent = TRUE)
## core$V2128 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 12346 90.0 90.0 95.1 95.1
## (2) 1-2X:(2) 299 2.2 92.2 2.3 97.4
## (3) 3-5X:(3) 125 0.9 93.1 1.0 98.4
## (4) 6-9X:(4) 79 0.6 93.7 0.6 99.0
## (5) 10-19X:(5) 47 0.3 94.0 0.4 99.3
## (6) 20-39X:(6) 34 0.2 94.3 0.3 99.6
## (7) 40+OCCAS:(7) 54 0.4 94.7 0.4 100.0
## NA's 729 5.3 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(core$V2128D, cum.percent = TRUE)
## core$V2128D :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NO: (0) 12346 90.0 90.0 95.1 95.1
## (1) YES: (1) 638 4.7 94.7 4.9 100.0
## NA's 729 5.3 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1330, cum.percent = TRUE)
## ds2$V1330 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2039 89.3 89.3 97.1 97.1
## (2) 1-2X:(2) 23 1.0 90.3 1.1 98.2
## (3) 3-5X:(3) 15 0.7 90.9 0.7 99.0
## (4) 6-9X:(4) 5 0.2 91.2 0.2 99.2
## (5) 10-19X:(5) 5 0.2 91.4 0.2 99.4
## (6) 20-39X:(6) 7 0.3 91.7 0.3 99.8
## (7) 40+OCCAS:(7) 5 0.2 91.9 0.2 100.0
## NA's 185 8.1 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2128, cum.percent = TRUE)
## ds3$V2128 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2081 90.5 90.5 94.7 94.7
## (2) 1-2X:(2) 63 2.7 93.3 2.9 97.5
## (3) 3-5X:(3) 24 1.0 94.3 1.1 98.6
## (4) 6-9X:(4) 11 0.5 94.8 0.5 99.1
## (5) 10-19X:(5) 9 0.4 95.2 0.4 99.5
## (6) 20-39X:(6) 1 0.0 95.2 0.0 99.6
## (7) 40+OCCAS:(7) 9 0.4 95.6 0.4 100.0
## NA's 101 4.4 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3128, cum.percent = TRUE)
## ds4$V3128 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2018 89.1 89.1 94.2 94.2
## (2) 1-2X:(2) 66 2.9 92.0 3.1 97.3
## (3) 3-5X:(3) 20 0.9 92.9 0.9 98.2
## (4) 6-9X:(4) 14 0.6 93.5 0.7 98.9
## (5) 10-19X:(5) 9 0.4 93.9 0.4 99.3
## (6) 20-39X:(6) 1 0.0 93.9 0.0 99.3
## (7) 40+OCCAS:(7) 14 0.6 94.5 0.7 100.0
## NA's 124 5.5 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4128, cum.percent = TRUE)
## ds5$V4128 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2085 90.1 90.1 95.2 95.2
## (2) 1-2X:(2) 37 1.6 91.7 1.7 96.9
## (3) 3-5X:(3) 22 1.0 92.7 1.0 97.9
## (4) 6-9X:(4) 20 0.9 93.6 0.9 98.8
## (5) 10-19X:(5) 9 0.4 93.9 0.4 99.2
## (6) 20-39X:(6) 8 0.3 94.3 0.4 99.5
## (7) 40+OCCAS:(7) 10 0.4 94.7 0.5 100.0
## NA's 122 5.3 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5128, cum.percent = TRUE)
## ds6$V5128 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2053 90.3 90.3 94.3 94.3
## (2) 1-2X:(2) 59 2.6 92.9 2.7 97.0
## (3) 3-5X:(3) 26 1.1 94.0 1.2 98.2
## (4) 6-9X:(4) 16 0.7 94.7 0.7 98.9
## (5) 10-19X:(5) 10 0.4 95.2 0.5 99.4
## (6) 20-39X:(6) 8 0.4 95.5 0.4 99.8
## (7) 40+OCCAS:(7) 5 0.2 95.7 0.2 100.0
## NA's 97 4.3 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6128, cum.percent = TRUE)
## ds7$V6128 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2070 90.9 90.9 95.1 95.1
## (2) 1-2X:(2) 51 2.2 93.1 2.3 97.4
## (3) 3-5X:(3) 18 0.8 93.9 0.8 98.3
## (4) 6-9X:(4) 13 0.6 94.5 0.6 98.9
## (5) 10-19X:(5) 5 0.2 94.7 0.2 99.1
## (6) 20-39X:(6) 9 0.4 95.1 0.4 99.5
## (7) 40+OCCAS:(7) 11 0.5 95.6 0.5 100.0
## NA's 100 4.4 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.001050:#X SED/BARB/LAST12MO
{Sedatives, including barbiturates, are sometimes prescribed by doctors to help people relax or get to sleep. They are sometimes called downs or downers, and include phenobarbital, Tuinal, Nembutal, and Seconal.} On how many occasions (if any) have you taken sedatives on your own–that is, without a doctor telling you to take them . . . during the last 12 months?
[Worded slightly differently in questionnaire form 1, and replaced Nembutal with Ambien, Lunesta, and Sonata as examples; see form 1 codebook.]
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2134, cum.percent = TRUE)
## core$V2134 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 12675 92.4 92.4 97.6 97.6
## (2) 1-2X:(2) 146 1.1 93.5 1.1 98.7
## (3) 3-5X:(3) 75 0.5 94.0 0.6 99.3
## (4) 6-9X:(4) 39 0.3 94.3 0.3 99.6
## (5) 10-19X:(5) 16 0.1 94.4 0.1 99.7
## (6) 20-39X:(6) 17 0.1 94.6 0.1 99.8
## (7) 40+OCCAS:(7) 22 0.2 94.7 0.2 100.0
## NA's 723 5.3 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(core$V2134D, cum.percent = TRUE)
## core$V2134D :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NO: (0) 12675 92.4 92.4 97.6 97.6
## (1) YES: (1) 315 2.3 94.7 2.4 100.0
## NA's 723 5.3 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1384, cum.percent = TRUE)
## ds2$V1384 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2065 90.4 90.4 98.3 98.3
## (2) 1-2X:(2) 17 0.7 91.2 0.8 99.1
## (3) 3-5X:(3) 6 0.3 91.4 0.3 99.4
## (4) 6-9X:(4) 5 0.2 91.6 0.2 99.7
## (5) 10-19X:(5) 0 0.0 91.6 0.0 99.7
## (6) 20-39X:(6) 3 0.1 91.8 0.1 99.8
## (7) 40+OCCAS:(7) 4 0.2 91.9 0.2 100.0
## NA's 184 8.1 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2134, cum.percent = TRUE)
## ds3$V2134 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2152 93.6 93.6 98.0 98.0
## (2) 1-2X:(2) 21 0.9 94.5 1.0 99.0
## (3) 3-5X:(3) 16 0.7 95.2 0.7 99.7
## (4) 6-9X:(4) 2 0.1 95.3 0.1 99.8
## (5) 10-19X:(5) 0 0.0 95.3 0.0 99.8
## (6) 20-39X:(6) 2 0.1 95.4 0.1 99.9
## (7) 40+OCCAS:(7) 2 0.1 95.5 0.1 100.0
## NA's 104 4.5 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3134, cum.percent = TRUE)
## ds4$V3134 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2093 92.4 92.4 97.2 97.2
## (2) 1-2X:(2) 25 1.1 93.5 1.2 98.3
## (3) 3-5X:(3) 17 0.8 94.2 0.8 99.1
## (4) 6-9X:(4) 8 0.4 94.6 0.4 99.5
## (5) 10-19X:(5) 5 0.2 94.8 0.2 99.7
## (6) 20-39X:(6) 2 0.1 94.9 0.1 99.8
## (7) 40+OCCAS:(7) 4 0.2 95.1 0.2 100.0
## NA's 112 4.9 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4134, cum.percent = TRUE)
## ds5$V4134 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2144 92.7 92.7 97.6 97.6
## (2) 1-2X:(2) 26 1.1 93.8 1.2 98.8
## (3) 3-5X:(3) 12 0.5 94.3 0.5 99.4
## (4) 6-9X:(4) 5 0.2 94.6 0.2 99.6
## (5) 10-19X:(5) 1 0.0 94.6 0.0 99.6
## (6) 20-39X:(6) 2 0.1 94.7 0.1 99.7
## (7) 40+OCCAS:(7) 6 0.3 94.9 0.3 100.0
## NA's 117 5.1 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5134, cum.percent = TRUE)
## ds6$V5134 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2109 92.7 92.7 97.3 97.3
## (2) 1-2X:(2) 23 1.0 93.8 1.1 98.3
## (3) 3-5X:(3) 13 0.6 94.3 0.6 98.9
## (4) 6-9X:(4) 10 0.4 94.8 0.5 99.4
## (5) 10-19X:(5) 7 0.3 95.1 0.3 99.7
## (6) 20-39X:(6) 5 0.2 95.3 0.2 100.0
## (7) 40+OCCAS:(7) 1 0.0 95.3 0.0 100.0
## NA's 106 4.7 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6134, cum.percent = TRUE)
## ds7$V6134 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2112 92.8 92.8 97.0 97.0
## (2) 1-2X:(2) 34 1.5 94.2 1.6 98.6
## (3) 3-5X:(3) 11 0.5 94.7 0.5 99.1
## (4) 6-9X:(4) 9 0.4 95.1 0.4 99.5
## (5) 10-19X:(5) 3 0.1 95.3 0.1 99.6
## (6) 20-39X:(6) 3 0.1 95.4 0.1 99.8
## (7) 40+OCCAS:(7) 5 0.2 95.6 0.2 100.0
## NA's 100 4.4 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.001080:#X TRQL/LAST12MO
{Tranquilizers are sometimes prescribed by doctors to calm people down, quiet their nerves, or relax their muscles. Librium, Valium, and Xanax are all tranquilizers.} On how many occasions (if any) have you taken tranquilizers on your own–that is, without a doctor telling you to take them . . . during the last 12 months?
[Questionnaire form 1 worded somewhat differently and adds Soma, Serax, Ativan, Klonopin to the examples (see form 1 codebook).]
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2137, cum.percent = TRUE)
## core$V2137 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 12495 91.1 91.1 96.6 96.6
## (2) 1-2X:(2) 226 1.6 92.8 1.7 98.3
## (3) 3-5X:(3) 93 0.7 93.4 0.7 99.0
## (4) 6-9X:(4) 49 0.4 93.8 0.4 99.4
## (5) 10-19X:(5) 30 0.2 94.0 0.2 99.6
## (6) 20-39X:(6) 20 0.1 94.2 0.2 99.8
## (7) 40+OCCAS:(7) 28 0.2 94.4 0.2 100.0
## NA's 772 5.6 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(core$V2137D, cum.percent = TRUE)
## core$V2137D :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NO: (0) 12495 91.1 91.1 96.6 96.6
## (1) YES: (1) 446 3.3 94.4 3.4 100.0
## NA's 772 5.6 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1431, cum.percent = TRUE)
## ds2$V1431 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2005 87.8 87.8 97.4 97.4
## (2) 1-2X:(2) 24 1.1 88.8 1.2 98.5
## (3) 3-5X:(3) 13 0.6 89.4 0.6 99.2
## (4) 6-9X:(4) 6 0.3 89.7 0.3 99.5
## (5) 10-19X:(5) 0 0.0 89.7 0.0 99.5
## (6) 20-39X:(6) 4 0.2 89.8 0.2 99.7
## (7) 40+OCCAS:(7) 7 0.3 90.1 0.3 100.0
## NA's 225 9.9 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2137, cum.percent = TRUE)
## ds3$V2137 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2111 91.8 91.8 96.3 96.3
## (2) 1-2X:(2) 41 1.8 93.6 1.9 98.2
## (3) 3-5X:(3) 15 0.7 94.3 0.7 98.9
## (4) 6-9X:(4) 9 0.4 94.6 0.4 99.3
## (5) 10-19X:(5) 8 0.3 95.0 0.4 99.7
## (6) 20-39X:(6) 5 0.2 95.2 0.2 99.9
## (7) 40+OCCAS:(7) 2 0.1 95.3 0.1 100.0
## NA's 108 4.7 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3137, cum.percent = TRUE)
## ds4$V3137 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2078 91.7 91.7 96.6 96.6
## (2) 1-2X:(2) 45 2.0 93.7 2.1 98.7
## (3) 3-5X:(3) 9 0.4 94.1 0.4 99.1
## (4) 6-9X:(4) 7 0.3 94.4 0.3 99.4
## (5) 10-19X:(5) 7 0.3 94.7 0.3 99.8
## (6) 20-39X:(6) 2 0.1 94.8 0.1 99.9
## (7) 40+OCCAS:(7) 3 0.1 94.9 0.1 100.0
## NA's 115 5.1 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4137, cum.percent = TRUE)
## ds5$V4137 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2116 91.5 91.5 96.4 96.4
## (2) 1-2X:(2) 35 1.5 93.0 1.6 98.0
## (3) 3-5X:(3) 21 0.9 93.9 1.0 98.9
## (4) 6-9X:(4) 12 0.5 94.4 0.5 99.5
## (5) 10-19X:(5) 4 0.2 94.6 0.2 99.6
## (6) 20-39X:(6) 3 0.1 94.7 0.1 99.8
## (7) 40+OCCAS:(7) 5 0.2 94.9 0.2 100.0
## NA's 117 5.1 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5137, cum.percent = TRUE)
## ds6$V5137 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2090 91.9 91.9 96.4 96.4
## (2) 1-2X:(2) 35 1.5 93.4 1.6 98.0
## (3) 3-5X:(3) 22 1.0 94.4 1.0 99.0
## (4) 6-9X:(4) 8 0.4 94.8 0.4 99.4
## (5) 10-19X:(5) 4 0.2 94.9 0.2 99.5
## (6) 20-39X:(6) 5 0.2 95.2 0.2 99.8
## (7) 40+OCCAS:(7) 5 0.2 95.4 0.2 100.0
## NA's 105 4.6 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6137, cum.percent = TRUE)
## ds7$V6137 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2095 92.0 92.0 96.3 96.3
## (2) 1-2X:(2) 46 2.0 94.0 2.1 98.4
## (3) 3-5X:(3) 13 0.6 94.6 0.6 99.0
## (4) 6-9X:(4) 7 0.3 94.9 0.3 99.4
## (5) 10-19X:(5) 7 0.3 95.2 0.3 99.7
## (6) 20-39X:(6) 1 0.0 95.3 0.0 99.7
## (7) 40+OCCAS:(7) 6 0.3 95.5 0.3 100.0
## NA's 102 4.5 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.001110:#X ‘H’/LAST 12MO
On how many occasions (if any) have you taken heroin . . . during the last 12 months?
[For questionnaire forms 2, 5, and 6, item is recoded from separate questions about heroin use with a needle (items 29630-29650) and without a needle (items 29660-29680).]
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2140, cum.percent = TRUE)
## core$V2140 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 12933 94.3 94.3 99.6 99.6
## (2) 1-2X:(2) 14 0.1 94.4 0.1 99.7
## (3) 3-5X:(3) 10 0.1 94.5 0.1 99.8
## (4) 6-9X:(4) 8 0.1 94.5 0.1 99.9
## (5) 10-19X:(5) 6 0.0 94.6 0.0 99.9
## (6) 20-39X:(6) 3 0.0 94.6 0.0 99.9
## (7) 40+OCCAS:(7) 9 0.1 94.7 0.1 100.0
## NA's 730 5.3 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1522, cum.percent = TRUE)
## ds2$V1522 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2077 90.9 90.9 99.8 99.8
## (2) 1-2X:(2) 2 0.1 91.0 0.1 99.9
## (3) 3-5X:(3) 1 0.0 91.1 0.0 99.9
## (4) 6-9X:(4) 0 0.0 91.1 0.0 99.9
## (5) 10-19X:(5) 0 0.0 91.1 0.0 99.9
## (6) 20-39X:(6) 0 0.0 91.1 0.0 99.9
## (7) 40+OCCAS:(7) 2 0.1 91.2 0.1 100.0
## NA's 202 8.8 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2140, cum.percent = TRUE)
## ds3$V2140 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2202 95.8 95.8 99.9 99.9
## (2) 1-2X:(2) 0 0.0 95.8 0.0 99.9
## (3) 3-5X:(3) 0 0.0 95.8 0.0 99.9
## (4) 6-9X:(4) 1 0.0 95.8 0.0 99.9
## (5) 10-19X:(5) 0 0.0 95.8 0.0 99.9
## (6) 20-39X:(6) 0 0.0 95.8 0.0 99.9
## (7) 40+OCCAS:(7) 2 0.1 95.9 0.1 100.0
## NA's 94 4.1 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3140, cum.percent = TRUE)
## ds4$V3140 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2136 94.3 94.3 99.5 99.5
## (2) 1-2X:(2) 7 0.3 94.6 0.3 99.8
## (3) 3-5X:(3) 1 0.0 94.6 0.0 99.9
## (4) 6-9X:(4) 1 0.0 94.7 0.0 99.9
## (5) 10-19X:(5) 1 0.0 94.7 0.0 100.0
## (6) 20-39X:(6) 0 0.0 94.7 0.0 100.0
## (7) 40+OCCAS:(7) 1 0.0 94.7 0.0 100.0
## NA's 119 5.3 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4140, cum.percent = TRUE)
## ds5$V4140 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2185 94.5 94.5 99.6 99.6
## (2) 1-2X:(2) 1 0.0 94.5 0.0 99.6
## (3) 3-5X:(3) 1 0.0 94.6 0.0 99.7
## (4) 6-9X:(4) 4 0.2 94.7 0.2 99.9
## (5) 10-19X:(5) 0 0.0 94.7 0.0 99.9
## (6) 20-39X:(6) 0 0.0 94.7 0.0 99.9
## (7) 40+OCCAS:(7) 3 0.1 94.9 0.1 100.0
## NA's 119 5.1 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5140, cum.percent = TRUE)
## ds6$V5140 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2161 95.0 95.0 99.4 99.4
## (2) 1-2X:(2) 1 0.0 95.1 0.0 99.4
## (3) 3-5X:(3) 5 0.2 95.3 0.2 99.7
## (4) 6-9X:(4) 2 0.1 95.4 0.1 99.8
## (5) 10-19X:(5) 3 0.1 95.5 0.1 99.9
## (6) 20-39X:(6) 2 0.1 95.6 0.1 100.0
## (7) 40+OCCAS:(7) 0 0.0 95.6 0.0 100.0
## NA's 100 4.4 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6140, cum.percent = TRUE)
## ds7$V6140 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2172 95.4 95.4 99.6 99.6
## (2) 1-2X:(2) 3 0.1 95.5 0.1 99.7
## (3) 3-5X:(3) 2 0.1 95.6 0.1 99.8
## (4) 6-9X:(4) 0 0.0 95.6 0.0 99.8
## (5) 10-19X:(5) 2 0.1 95.7 0.1 99.9
## (6) 20-39X:(6) 1 0.0 95.7 0.0 100.0
## (7) 40+OCCAS:(7) 1 0.0 95.8 0.0 100.0
## NA's 96 4.2 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.001140:#X NARC/LAST12MO
{There are a number of narcotics other than heroin, such as methadone, opium, morphine, codeine, Demerol, Vicodin, OxyContin, and Percocet. These are sometimes prescribed by doctors.} On how many occasions (if any) have you taken narcotics other than heroin on your own–that is, without a doctor telling you to take them . . . during the last 12 months?
[Questionnaire form 1 worded somewhat differently and adds “Percodan, Ultram” (see form 1 Codebook).]
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2143, cum.percent = TRUE)
## core$V2143 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 12487 91.1 91.1 97.1 97.1
## (2) 1-2X:(2) 199 1.5 92.5 1.5 98.6
## (3) 3-5X:(3) 83 0.6 93.1 0.6 99.3
## (4) 6-9X:(4) 40 0.3 93.4 0.3 99.6
## (5) 10-19X:(5) 23 0.2 93.6 0.2 99.8
## (6) 20-39X:(6) 15 0.1 93.7 0.1 99.9
## (7) 40+OCCAS:(7) 17 0.1 93.8 0.1 100.0
## NA's 849 6.2 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(core$V2143D, cum.percent = TRUE)
## core$V2143D :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NO: (0) 12487 91.1 91.1 97.1 97.1
## (1) YES: (1) 377 2.7 93.8 2.9 100.0
## NA's 849 6.2 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1566, cum.percent = TRUE)
## ds2$V1566 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2006 87.8 87.8 97.5 97.5
## (2) 1-2X:(2) 28 1.2 89.1 1.4 98.8
## (3) 3-5X:(3) 9 0.4 89.4 0.4 99.3
## (4) 6-9X:(4) 5 0.2 89.7 0.2 99.5
## (5) 10-19X:(5) 3 0.1 89.8 0.1 99.7
## (6) 20-39X:(6) 2 0.1 89.9 0.1 99.8
## (7) 40+OCCAS:(7) 5 0.2 90.1 0.2 100.0
## NA's 226 9.9 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2143, cum.percent = TRUE)
## ds3$V2143 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2121 92.3 92.3 96.7 96.7
## (2) 1-2X:(2) 35 1.5 93.8 1.6 98.3
## (3) 3-5X:(3) 19 0.8 94.6 0.9 99.2
## (4) 6-9X:(4) 6 0.3 94.9 0.3 99.5
## (5) 10-19X:(5) 6 0.3 95.1 0.3 99.7
## (6) 20-39X:(6) 3 0.1 95.3 0.1 99.9
## (7) 40+OCCAS:(7) 3 0.1 95.4 0.1 100.0
## NA's 106 4.6 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3143, cum.percent = TRUE)
## ds4$V3143 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2071 91.4 91.4 96.6 96.6
## (2) 1-2X:(2) 40 1.8 93.2 1.9 98.5
## (3) 3-5X:(3) 18 0.8 94.0 0.8 99.3
## (4) 6-9X:(4) 7 0.3 94.3 0.3 99.6
## (5) 10-19X:(5) 4 0.2 94.4 0.2 99.8
## (6) 20-39X:(6) 2 0.1 94.5 0.1 99.9
## (7) 40+OCCAS:(7) 2 0.1 94.6 0.1 100.0
## NA's 122 5.4 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds5$V4143, cum.percent = TRUE)
## ds5$V4143 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2121 91.7 91.7 97.3 97.3
## (2) 1-2X:(2) 25 1.1 92.8 1.1 98.4
## (3) 3-5X:(3) 16 0.7 93.5 0.7 99.2
## (4) 6-9X:(4) 10 0.4 93.9 0.5 99.6
## (5) 10-19X:(5) 2 0.1 94.0 0.1 99.7
## (6) 20-39X:(6) 3 0.1 94.1 0.1 99.9
## (7) 40+OCCAS:(7) 3 0.1 94.2 0.1 100.0
## NA's 133 5.8 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds6$V5143, cum.percent = TRUE)
## ds6$V5143 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2080 91.5 91.5 96.8 96.8
## (2) 1-2X:(2) 41 1.8 93.3 1.9 98.7
## (3) 3-5X:(3) 12 0.5 93.8 0.6 99.3
## (4) 6-9X:(4) 8 0.4 94.2 0.4 99.7
## (5) 10-19X:(5) 3 0.1 94.3 0.1 99.8
## (6) 20-39X:(6) 2 0.1 94.4 0.1 99.9
## (7) 40+OCCAS:(7) 2 0.1 94.5 0.1 100.0
## NA's 126 5.5 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6143, cum.percent = TRUE)
## ds7$V6143 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2088 91.7 91.7 97.5 97.5
## (2) 1-2X:(2) 30 1.3 93.0 1.4 98.9
## (3) 3-5X:(3) 9 0.4 93.4 0.4 99.3
## (4) 6-9X:(4) 4 0.2 93.6 0.2 99.5
## (5) 10-19X:(5) 5 0.2 93.8 0.2 99.8
## (6) 20-39X:(6) 3 0.1 93.9 0.1 99.9
## (7) 40+OCCAS:(7) 2 0.1 94.0 0.1 100.0
## NA's 136 6.0 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.000170:#X INHL/LAST12MO
On how many occasions (if any) have you sniffed glue, or breathed the contents of aerosol spray cans, or inhaled any other gases or sprays in order to get high . . . during the last 12 months?
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2146, cum.percent = TRUE)
## core$V2146 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 6362 46.4 46.4 98.1 98.1
## (2) 1-2X:(2) 71 0.5 46.9 1.1 99.2
## (3) 3-5X:(3) 23 0.2 47.1 0.4 99.6
## (4) 6-9X:(4) 4 0.0 47.1 0.1 99.7
## (5) 10-19X:(5) 11 0.1 47.2 0.2 99.8
## (6) 20-39X:(6) 2 0.0 47.2 0.0 99.9
## (7) 40+OCCAS:(7) 9 0.1 47.3 0.1 100.0
## NA's 7231 52.7 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(core$V2146D, cum.percent = TRUE)
## core$V2146D :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (0) NO: (0) 6362 46.4 46.4 98.1 98.1
## (1) YES: (1) 120 0.9 47.3 1.9 100.0
## NA's 7231 52.7 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds3$V2146, cum.percent = TRUE)
## ds3$V2146 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2151 93.6 93.6 98.1 98.1
## (2) 1-2X:(2) 27 1.2 94.7 1.2 99.4
## (3) 3-5X:(3) 9 0.4 95.1 0.4 99.8
## (4) 6-9X:(4) 1 0.0 95.2 0.0 99.8
## (5) 10-19X:(5) 2 0.1 95.3 0.1 99.9
## (6) 20-39X:(6) 1 0.0 95.3 0.0 100.0
## (7) 40+OCCAS:(7) 1 0.0 95.3 0.0 100.0
## NA's 107 4.7 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds4$V3146, cum.percent = TRUE)
## ds4$V3146 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2102 92.8 92.8 98.1 98.1
## (2) 1-2X:(2) 26 1.1 93.9 1.2 99.3
## (3) 3-5X:(3) 8 0.4 94.3 0.4 99.7
## (4) 6-9X:(4) 0 0.0 94.3 0.0 99.7
## (5) 10-19X:(5) 5 0.2 94.5 0.2 99.9
## (6) 20-39X:(6) 0 0.0 94.5 0.0 99.9
## (7) 40+OCCAS:(7) 2 0.1 94.6 0.1 100.0
## NA's 123 5.4 100.0 0.0 100.0
## Total 2266 100.0 100.0 100.0 100.0tab1(ds6$V5146, cum.percent = TRUE)
## ds6$V5146 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 2109 92.7 92.7 98.2 98.2
## (2) 1-2X:(2) 18 0.8 93.5 0.8 99.1
## (3) 3-5X:(3) 6 0.3 93.8 0.3 99.3
## (4) 6-9X:(4) 3 0.1 93.9 0.1 99.5
## (5) 10-19X:(5) 4 0.2 94.1 0.2 99.7
## (6) 20-39X:(6) 1 0.0 94.2 0.0 99.7
## (7) 40+OCCAS:(7) 6 0.3 94.4 0.3 100.0
## NA's 127 5.6 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.022700:#X STRD/LAST12MO
{Anabolic steroids are prescription drugs sometimes prescribed by doctors to treat certain conditions. Some athletes, and others, have used them to try to increase muscle development.} On how many occasions (if any) have you taken steroids on your own–that is, without a doctor telling you to take them . . . during the last 12 months?
1=“0 Occasions” 2=“1-2 Occasions” 3=“3-5 Occasions” 4=“6-9 Occasions” 5=“10-19 Occasions” 6=“20-39 Occasions” 7=“40 or More”
tab1(core$V2494, cum.percent = TRUE)
## core$V2494 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 3832 27.9 27.9 99.1 99.1
## (2) 1-2X:(2) 5 0.0 28.0 0.1 99.2
## (3) 3-5X:(3) 5 0.0 28.0 0.1 99.3
## (4) 6-9X:(4) 12 0.1 28.1 0.3 99.6
## (5) 10-19X:(5) 4 0.0 28.1 0.1 99.7
## (6) 20-39X:(6) 3 0.0 28.2 0.1 99.8
## (7) 40+OCCAS:(7) 7 0.1 28.2 0.2 100.0
## NA's 9845 71.8 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds6$V5528, cum.percent = TRUE)
## ds6$V5528 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1864 82.0 82.0 98.9 98.9
## (2) 1-2X:(2) 1 0.0 82.0 0.1 98.9
## (3) 3-5X:(3) 4 0.2 82.2 0.2 99.2
## (4) 6-9X:(4) 7 0.3 82.5 0.4 99.5
## (5) 10-19X:(5) 3 0.1 82.6 0.2 99.7
## (6) 20-39X:(6) 2 0.1 82.7 0.1 99.8
## (7) 40+OCCAS:(7) 4 0.2 82.9 0.2 100.0
## NA's 389 17.1 100.0 0.0 100.0
## Total 2274 100.0 100.0 100.0 100.0tab1(ds7$V6369, cum.percent = TRUE)
## ds7$V6369 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) O OCCAS:(1) 1968 86.4 86.4 99.2 99.2
## (2) 1-2X:(2) 4 0.2 86.6 0.2 99.4
## (3) 3-5X:(3) 1 0.0 86.6 0.1 99.5
## (4) 6-9X:(4) 5 0.2 86.9 0.3 99.7
## (5) 10-19X:(5) 1 0.0 86.9 0.1 99.8
## (6) 20-39X:(6) 1 0.0 87.0 0.1 99.8
## (7) 40+OCCAS:(7) 3 0.1 87.1 0.2 100.0
## NA's 294 12.9 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.035150:#DAYS VAPE NIC/12MO
On how many DAYS (if any) have you vaped NICOTINE . . . during the last 12 months?
1=“0 Days” 2=“1-2 Days” 3=“3-5 Days” 4=“6-9 Days” 5=“10-19 Days” 6=“20 or More”
tab1(core$V2581, cum.percent = TRUE)
## core$V2581 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 5253 38.3 38.3 63.0 63.0
## (2) 1-2 DAYS:(2) 689 5.0 43.3 8.3 71.2
## (3) 3-5 DAYS:(3) 352 2.6 45.9 4.2 75.5
## (4) 6-9 DAYS:(4) 244 1.8 47.7 2.9 78.4
## (5) 10-19 DAYS:(5) 252 1.8 49.5 3.0 81.4
## (6) 20 OR MORE:(6) 1551 11.3 60.8 18.6 100.0
## NA's 5372 39.2 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1978, cum.percent = TRUE)
## ds2$V1978 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 1328 58.1 58.1 66.0 66.0
## (2) 1-2 DAYS:(2) 151 6.6 64.8 7.5 73.5
## (3) 3-5 DAYS:(3) 87 3.8 68.6 4.3 77.9
## (4) 6-9 DAYS:(4) 55 2.4 71.0 2.7 80.6
## (5) 10-19 DAYS:(5) 48 2.1 73.1 2.4 83.0
## (6) 20 OR MORE:(6) 342 15.0 88.0 17.0 100.0
## NA's 273 12.0 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2581, cum.percent = TRUE)
## ds3$V2581 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 1306 56.8 56.8 61.1 61.1
## (2) 1-2 DAYS:(2) 177 7.7 64.5 8.3 69.4
## (3) 3-5 DAYS:(3) 101 4.4 68.9 4.7 74.1
## (4) 6-9 DAYS:(4) 52 2.3 71.2 2.4 76.6
## (5) 10-19 DAYS:(5) 80 3.5 74.6 3.7 80.3
## (6) 20 OR MORE:(6) 421 18.3 93.0 19.7 100.0
## NA's 162 7.0 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds5$V4472, cum.percent = TRUE)
## ds5$V4472 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 1290 55.8 55.8 61.1 61.1
## (2) 1-2 DAYS:(2) 187 8.1 63.9 8.9 70.0
## (3) 3-5 DAYS:(3) 94 4.1 67.9 4.5 74.4
## (4) 6-9 DAYS:(4) 67 2.9 70.8 3.2 77.6
## (5) 10-19 DAYS:(5) 56 2.4 73.2 2.7 80.2
## (6) 20 OR MORE:(6) 417 18.0 91.3 19.8 100.0
## NA's 202 8.7 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds7$V6642, cum.percent = TRUE)
## ds7$V6642 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 1329 58.4 58.4 63.8 63.8
## (2) 1-2 DAYS:(2) 174 7.6 66.0 8.4 72.2
## (3) 3-5 DAYS:(3) 70 3.1 69.1 3.4 75.6
## (4) 6-9 DAYS:(4) 70 3.1 72.2 3.4 78.9
## (5) 10-19 DAYS:(5) 68 3.0 75.1 3.3 82.2
## (6) 20 OR MORE:(6) 371 16.3 91.4 17.8 100.0
## NA's 195 8.6 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.0V2584: 35180:#DAYS VAPE MJ/12MO
On how many DAYS (if any) have you vaped MARIJUANA . . . during the last 12 months?
1=“0 Days” 2=“1-2 Days” 3=“3-5 Days” 4=“6-9 Days” 5=“10-19 Days
tab1(core$V2584, cum.percent = TRUE)
## core$V2584 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 6405 46.7 46.7 77.1 77.1
## (2) 1-2 DAYS:(2) 549 4.0 50.7 6.6 83.7
## (3) 3-5 DAYS:(3) 301 2.2 52.9 3.6 87.3
## (4) 6-9 DAYS:(4) 243 1.8 54.7 2.9 90.2
## (5) 10-19 DAYS:(5) 189 1.4 56.1 2.3 92.5
## (6) 20 OR MORE:(6) 625 4.6 60.6 7.5 100.0
## NA's 5401 39.4 100.0 0.0 100.0
## Total 13713 100.0 100.0 100.0 100.0tab1(ds2$V1981, cum.percent = TRUE)
## ds2$V1981 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 1616 70.8 70.8 80.5 80.5
## (2) 1-2 DAYS:(2) 110 4.8 75.6 5.5 86.0
## (3) 3-5 DAYS:(3) 70 3.1 78.6 3.5 89.5
## (4) 6-9 DAYS:(4) 49 2.1 80.8 2.4 91.9
## (5) 10-19 DAYS:(5) 44 1.9 82.7 2.2 94.1
## (6) 20 OR MORE:(6) 118 5.2 87.9 5.9 100.0
## NA's 277 12.1 100.0 0.0 100.0
## Total 2284 100.0 100.0 100.0 100.0tab1(ds3$V2584, cum.percent = TRUE)
## ds3$V2584 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 1599 69.6 69.6 75.3 75.3
## (2) 1-2 DAYS:(2) 144 6.3 75.8 6.8 82.1
## (3) 3-5 DAYS:(3) 76 3.3 79.1 3.6 85.7
## (4) 6-9 DAYS:(4) 64 2.8 81.9 3.0 88.7
## (5) 10-19 DAYS:(5) 55 2.4 84.3 2.6 91.3
## (6) 20 OR MORE:(6) 185 8.0 92.3 8.7 100.0
## NA's 176 7.7 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0tab1(ds5$V4475, cum.percent = TRUE)
## ds5$V4475 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 1575 68.1 68.1 74.9 74.9
## (2) 1-2 DAYS:(2) 160 6.9 75.0 7.6 82.5
## (3) 3-5 DAYS:(3) 84 3.6 78.6 4.0 86.5
## (4) 6-9 DAYS:(4) 71 3.1 81.7 3.4 89.8
## (5) 10-19 DAYS:(5) 43 1.9 83.6 2.0 91.9
## (6) 20 OR MORE:(6) 171 7.4 91.0 8.1 100.0
## NA's 209 9.0 100.0 0.0 100.0
## Total 2313 100.0 100.0 100.0 100.0tab1(ds7$V6645, cum.percent = TRUE)
## ds7$V6645 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## (1) 0 DAYS:(1) 1615 70.9 70.9 77.7 77.7
## (2) 1-2 DAYS:(2) 135 5.9 76.9 6.5 84.2
## (3) 3-5 DAYS:(3) 71 3.1 80.0 3.4 87.6
## (4) 6-9 DAYS:(4) 59 2.6 82.6 2.8 90.5
## (5) 10-19 DAYS:(5) 47 2.1 84.6 2.3 92.7
## (6) 20 OR MORE:(6) 151 6.6 91.3 7.3 100.0
## NA's 199 8.7 100.0 0.0 100.0
## Total 2277 100.0 100.0 100.0 100.0Composite Variable Report
C0000: Property-related Delinquency
Because all original variables were coded as categorical, and they are all heavily right-skewed, I create the new composite property related delinquency variable by first collapsing each original variables into dichotomous variables, o indicates no experience, 1 indicates have at least some experience. Then, I aggregate all these dichotomous variables to create the new composite variables COOOO.
In this composite variable, 0 means have no property-related delinquency at all, 1 means having committed 1 type of property-related delinquency, 2 means having committed 2 types of property-related delinquency, and it goes on. All NAs are retained.
library(dplyr)##
## Attaching package: 'dplyr'## The following object is masked from 'package:MASS':
##
## select## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union# Create Numerical Dichotomous Variables
ds3$V2285D<-ifelse(ds3$V2285=="(1) NOT @ALL:(1)",0,1)
ds3$V2286D<-ifelse(ds3$V2286=="(1) NOT @ALL:(1)",0,1)
ds3$V2287D<-ifelse(ds3$V2287=="(1) NOT @ALL:(1)",0,1)
ds3$V2288D<-ifelse(ds3$V2288=="(1) NOT @ALL:(1)",0,1)
ds3$V2289D<-ifelse(ds3$V2289=="(1) NOT @ALL:(1)",0,1)
ds3$V2290D<-ifelse(ds3$V2290=="(1) NOT @ALL:(1)",0,1)
ds3$V2291D<-ifelse(ds3$V2291=="(1) NOT @ALL:(1)",0,1)
ds3$V2292D<-ifelse(ds3$V2292=="(1) NOT @ALL:(1)",0,1)
ds3$V2293D<-ifelse(ds3$V2293=="(1) NOT @ALL:(1)",0,1)
# Sum these dichotomous
ds3$C0000 <- ds3$V2285D + ds3$V2286D + ds3$V2287D + ds3$V2288D + ds3$V2289D + ds3$V2290D + ds3$V2291D + ds3$V2292D + ds3$V2293D
# Showing the distribution of the new composite variable
tab1(ds3$C0000, cum.percent = TRUE)
## ds3$C0000 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## 0 1376 59.9 59.9 62.5 62.5
## 1 361 15.7 75.6 16.4 78.9
## 2 232 10.1 85.6 10.5 89.5
## 3 115 5.0 90.6 5.2 94.7
## 4 63 2.7 93.4 2.9 97.5
## 5 23 1.0 94.4 1.0 98.6
## 6 7 0.3 94.7 0.3 98.9
## 7 3 0.1 94.8 0.1 99.0
## 8 4 0.2 95.0 0.2 99.2
## 9 17 0.7 95.7 0.8 100.0
## <NA> 98 4.3 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0C0001: Violent Delinquency
The making of the composite violdent delinquency variable follows the same logic described above in the property-related delinquency.
# Creating numerical dichotomous variables
ds3$V2280D<-ifelse(ds3$V2280=="(1) NOT @ALL:(1)",0,1)
ds3$V2281D<-ifelse(ds3$V2281=="(1) NOT @ALL:(1)",0,1)
ds3$V2282D<-ifelse(ds3$V2282=="(1) NOT @ALL:(1)",0,1)
ds3$V2283D<-ifelse(ds3$V2283=="(1) NOT @ALL:(1)",0,1)
ds3$V2284D<-ifelse(ds3$V2284=="(1) NOT @ALL:(1)",0,1)
# Sum accross these variables:
ds3$C0001 <- ds3$V2280D + ds3$V2281D + ds3$V2282D + ds3$V2283D + ds3$V2284D
# Showing the distribution:
tab1(ds3$C0001, cum.percent = TRUE)
## ds3$C0001 :
## Frequency %(NA+) cum.%(NA+) %(NA-) cum.%(NA-)
## 0 1759 76.5 76.5 79.1 79.1
## 1 268 11.7 88.2 12.1 91.2
## 2 116 5.0 93.2 5.2 96.4
## 3 52 2.3 95.5 2.3 98.7
## 4 11 0.5 96.0 0.5 99.2
## 5 17 0.7 96.7 0.8 100.0
## <NA> 76 3.3 100.0 0.0 100.0
## Total 2299 100.0 100.0 100.0 100.0