library(viridis)
Loading required package: viridisLite
library(viridis)
Loading required package: viridisLite
library(stringr)
library(purrr)
library(haven)
library(janitor)
Attaching package: 'janitor'
The following objects are masked from 'package:stats':
chisq.test, fisher.test
library(car)
Loading required package: carData
Attaching package: 'car'
The following object is masked from 'package:purrr':
some
library(usmap)
library(ggthemes)
library(tigris)
To enable caching of data, set `options(tigris_use_cache = TRUE)`
in your R script or .Rprofile.
library(tidyverse)
── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2
──
✔ ggplot2 3.4.0 ✔ dplyr 1.0.10
✔ tibble 3.1.8 ✔ stringr 1.5.0
✔ tidyr 1.3.0 ✔ forcats 0.5.2
✔ readr 2.1.3
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
✖ dplyr::recode() masks car::recode()
✖ car::some() masks purrr::some()
library(tidycensus)
library(lme4)
Loading required package: Matrix
Attaching package: 'Matrix'
The following objects are masked from 'package:tidyr':
expand, pack, unpack
library(haven)
library(foreign)
library(FactoMineR)
library(ggrepel)
library(margins)
library(emmeans)
library(stargazer)
Please cite as:
Hlavac, Marek (2022). stargazer: Well-Formatted Regression and Summary Statistics Tables.
R package version 5.2.3. https://CRAN.R-project.org/package=stargazer
library(stringr)
setwd("C:/Users/jacob/OneDrive - University of Texas at San Antonio/Courses/Stats for Demographic Data 2/Homework 4")
<- haven::read_xpt("LLCP2021.XPT_")
brfss21
str(brfss21, list.len = ncol(brfss21))
tibble [438,693 × 303] (S3: tbl_df/tbl/data.frame)
$ _STATE : num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "STATE FIPS CODE"
$ FMONTH : num [1:438693] 1 1 1 1 1 1 1 1 2 2 ...
..- attr(*, "label")= chr "FILE MONTH"
$ IDATE : chr [1:438693] "01192021" "01212021" "01212021" "01172021" ...
..- attr(*, "label")= chr "INTERVIEW DATE"
$ IMONTH : chr [1:438693] "01" "01" "01" "01" ...
..- attr(*, "label")= chr "INTERVIEW MONTH"
$ IDAY : chr [1:438693] "19" "21" "21" "17" ...
..- attr(*, "label")= chr "INTERVIEW DAY"
$ IYEAR : chr [1:438693] "2021" "2021" "2021" "2021" ...
..- attr(*, "label")= chr "INTERVIEW YEAR"
$ DISPCODE: num [1:438693] 1100 1100 1100 1100 1100 1100 1100 1100 1100 1100 ...
..- attr(*, "label")= chr "FINAL DISPOSITION"
$ SEQNO : chr [1:438693] "2021000001" "2021000002" "2021000003" "2021000004" ...
..- attr(*, "label")= chr "ANNUAL SEQUENCE NUMBER"
$ _PSU : num [1:438693] 2.02e+09 2.02e+09 2.02e+09 2.02e+09 2.02e+09 ...
..- attr(*, "label")= chr "PRIMARY SAMPLING UNIT"
$ CTELENM1: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "CORRECT TELEPHONE NUMBER?"
$ PVTRESD1: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "PRIVATE RESIDENCE?"
$ COLGHOUS: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DO YOU LIVE IN COLLEGE HOUSING?"
$ STATERE1: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "RESIDENT OF STATE"
$ CELPHON1: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "CELLULAR TELEPHONE"
$ LADULT1 : num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "ARE YOU 18 YEARS OF AGE OR OLDER?"
$ COLGSEX : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "ARE YOU MALE OR FEMALE?"
$ NUMADULT: num [1:438693] 2 2 2 2 2 1 2 1 1 2 ...
..- attr(*, "label")= chr "NUMBER OF ADULTS IN HOUSEHOLD"
$ LANDSEX : num [1:438693] NA NA NA NA NA 1 NA 1 2 NA ...
..- attr(*, "label")= chr "ARE YOU MALE OR FEMALE?"
$ NUMMEN : num [1:438693] 1 1 1 1 1 NA 1 NA NA 1 ...
..- attr(*, "label")= chr "NUMBER OF ADULT MEN IN HOUSEHOLD"
$ NUMWOMEN: num [1:438693] 1 1 1 1 1 NA 1 NA NA 1 ...
..- attr(*, "label")= chr "NUMBER OF ADULT WOMEN IN HOUSEHOLD"
$ RESPSLCT: num [1:438693] 2 2 2 2 1 NA 1 NA NA 2 ...
..- attr(*, "label")= chr "RESPONDENT SELECTION"
$ SAFETIME: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "SAFE TIME TO TALK?"
$ CTELNUM1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "CORRECT PHONE NUMBER?"
$ CELLFON5: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "IS THIS A CELL PHONE?"
$ CADULT1 : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "ARE YOU 18 YEARS OF AGE OR OLDER?"
$ CELLSEX : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "ARE YOU MALE OR FEMALE?"
$ PVTRESD3: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DO YOU LIVE IN A PRIVATE RESIDENCE?"
$ CCLGHOUS: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DO YOU LIVE IN COLLEGE HOUSING?"
$ CSTATE1 : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DO YOU CURRENTLY LIVE IN ____(STATE)___"
$ LANDLINE: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DO YOU ALSO HAVE A LANDLINE TELEPHONE?"
$ HHADULT : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "NUMBER OF ADULTS IN HOUSEHOLD"
$ SEXVAR : num [1:438693] 2 2 2 2 1 1 1 1 2 2 ...
..- attr(*, "label")= chr "SEX OF RESPONDENT"
$ GENHLTH : num [1:438693] 5 3 2 2 5 3 3 4 2 3 ...
..- attr(*, "label")= chr "GENERAL HEALTH"
$ PHYSHLTH: num [1:438693] 20 88 88 88 30 88 30 88 88 25 ...
..- attr(*, "label")= chr "NUMBER OF DAYS PHYSICAL HEALTH NOT GOOD"
$ MENTHLTH: num [1:438693] 10 88 88 10 88 88 88 88 88 5 ...
..- attr(*, "label")= chr "NUMBER OF DAYS MENTAL HEALTH NOT GOOD"
$ POORHLTH: num [1:438693] 88 NA NA 88 30 NA 2 NA NA 5 ...
..- attr(*, "label")= chr "POOR PHYSICAL OR MENTAL HEALTH"
$ PRIMINSR: num [1:438693] 3 1 2 2 3 3 1 2 3 3 ...
..- attr(*, "label")= chr "WHAT IS PRIMARY SOURCE OF HEALTH INSURAN"
$ PERSDOC3: num [1:438693] 1 2 2 1 1 1 1 1 1 2 ...
..- attr(*, "label")= chr "HAVE PERSONAL HEALTH CARE PROVIDER?"
$ MEDCOST1: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "COULD NOT AFFORD TO SEE DOCTOR"
$ CHECKUP1: num [1:438693] 2 1 1 1 1 1 1 1 2 1 ...
..- attr(*, "label")= chr "LENGTH OF TIME SINCE LAST ROUTINE CHECKU"
$ EXERANY2: num [1:438693] 2 1 2 1 1 2 2 1 2 1 ...
..- attr(*, "label")= chr "EXERCISE IN PAST 30 DAYS"
$ BPHIGH6 : num [1:438693] 3 1 1 1 4 3 1 1 3 1 ...
..- attr(*, "label")= chr "EVER TOLD BLOOD PRESSURE HIGH"
$ BPMEDS : num [1:438693] NA 1 1 1 NA NA 1 1 NA 1 ...
..- attr(*, "label")= chr "CURRENTLY TAKING BLOOD PRESSURE MEDICATI"
$ CHOLCHK3: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "HOW LONG SINCE CHOLESTEROL CHECKED"
$ TOLDHI3 : num [1:438693] 1 1 2 1 1 2 2 1 2 2 ...
..- attr(*, "label")= chr "EVER TOLD CHOLESTEROL IS HIGH"
$ CHOLMED3: num [1:438693] 1 1 2 2 1 2 2 1 2 1 ...
..- attr(*, "label")= chr "CURRENTLY TAKING MEDICINE FOR HIGH CHOLE"
$ CVDINFR4: num [1:438693] 2 2 2 2 1 2 2 1 2 2 ...
..- attr(*, "label")= chr "EVER DIAGNOSED WITH HEART ATTACK"
$ CVDCRHD4: num [1:438693] 2 1 1 2 7 2 2 1 2 2 ...
..- attr(*, "label")= chr "EVER DIAGNOSED WITH ANGINA OR CORONARY H"
$ CVDSTRK3: num [1:438693] 2 2 2 2 1 2 2 2 2 2 ...
..- attr(*, "label")= chr "EVER DIAGNOSED WITH A STROKE"
$ ASTHMA3 : num [1:438693] 1 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "EVER TOLD HAD ASTHMA"
$ ASTHNOW : num [1:438693] 1 NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "STILL HAVE ASTHMA"
$ CHCSCNCR: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "(EVER TOLD) YOU HAD SKIN CANCER?"
$ CHCOCNCR: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "(EVER TOLD) YOU HAD ANY OTHER TYPES OF C"
$ CHCCOPD3: num [1:438693] 1 2 2 2 2 1 2 1 2 2 ...
..- attr(*, "label")= chr "EVER TOLD YOU HAD C.O.P.D. EMPHYSEMA OR"
$ ADDEPEV3: num [1:438693] 2 2 2 2 2 2 1 2 2 2 ...
..- attr(*, "label")= chr "(EVER TOLD) YOU HAD A DEPRESSIVE DISORDE"
$ CHCKDNY2: num [1:438693] 2 1 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "EVER TOLD YOU HAVE KIDNEY DISEASE?"
$ DIABETE4: num [1:438693] 3 1 1 1 1 3 3 3 3 3 ...
..- attr(*, "label")= chr "(EVER TOLD) YOU HAD DIABETES"
$ DIABAGE3: num [1:438693] NA 98 98 56 65 NA NA NA NA NA ...
..- attr(*, "label")= chr "AGE WHEN TOLD DIABETES"
$ HAVARTH5: num [1:438693] 1 1 2 2 2 2 1 1 2 1 ...
..- attr(*, "label")= chr "TOLD HAVE ARTHRITIS"
$ ARTHEXER: num [1:438693] 2 1 NA NA NA NA 1 2 NA 1 ...
..- attr(*, "label")= chr "DR. SUGGEST USE OF PHYSICAL ACTIVITY OR"
$ ARTHEDU : num [1:438693] 2 2 NA NA NA NA 2 2 NA 2 ...
..- attr(*, "label")= chr "EVER TAKEN CLASS IN MANAGING ARTHRITIS O"
$ LMTJOIN3: num [1:438693] 2 1 NA NA NA NA 1 2 NA 2 ...
..- attr(*, "label")= chr "LIMITED BECAUSE OF JOINT SYMPTOMS"
$ ARTHDIS2: num [1:438693] 1 1 NA NA NA NA 2 2 NA 2 ...
..- attr(*, "label")= chr "DOES ARTHRITIS AFFECT WHETHER YOU WORK"
$ JOINPAI2: num [1:438693] 8 10 NA NA NA NA 8 8 NA 4 ...
..- attr(*, "label")= chr "HOW BAD WAS JOINT PAIN"
$ MARITAL : num [1:438693] 1 9 3 1 1 1 1 2 2 1 ...
..- attr(*, "label")= chr "MARITAL STATUS"
$ EDUCA : num [1:438693] 4 6 4 4 3 5 6 3 3 4 ...
..- attr(*, "label")= chr "EDUCATION LEVEL"
$ RENTHOM1: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "OWN OR RENT HOME"
$ NUMHHOL3: num [1:438693] 1 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "HOUSEHOLD TELEPHONES"
$ NUMPHON3: num [1:438693] 1 NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "RESIDENTIAL PHONES"
$ CPDEMO1B: num [1:438693] 1 1 1 1 8 1 2 8 1 2 ...
..- attr(*, "label")= chr "DO YOU HAVE A CELL PHONE FOR PERSONAL US"
$ VETERAN3: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "ARE YOU A VETERAN"
$ EMPLOY1 : num [1:438693] 7 8 7 7 8 7 8 2 7 7 ...
..- attr(*, "label")= chr "EMPLOYMENT STATUS"
$ CHILDREN: num [1:438693] 88 88 88 88 88 88 88 88 88 88 ...
..- attr(*, "label")= chr "NUMBER OF CHILDREN IN HOUSEHOLD"
$ INCOME3 : num [1:438693] 5 77 3 7 4 6 77 99 77 8 ...
..- attr(*, "label")= chr "INCOME LEVEL"
$ PREGNANT: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "PREGNANCY STATUS"
$ WEIGHT2 : num [1:438693] 72 7777 170 195 206 ...
..- attr(*, "label")= chr "REPORTED WEIGHT IN POUNDS"
$ HEIGHT3 : num [1:438693] 411 506 505 504 511 603 600 509 503 505 ...
..- attr(*, "label")= chr "REPORTED HEIGHT IN FEET AND INCHES"
$ DEAF : num [1:438693] 2 2 2 2 1 2 1 2 2 2 ...
..- attr(*, "label")= chr "ARE YOU DEAF OR DO YOU HAVE SERIOUS DIFF"
$ BLIND : num [1:438693] 2 1 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "BLIND OR DIFFICULTY SEEING"
$ DECIDE : num [1:438693] 2 1 2 2 2 2 2 1 2 2 ...
..- attr(*, "label")= chr "DIFFICULTY CONCENTRATING OR REMEMBERING"
$ DIFFWALK: num [1:438693] 2 1 2 2 1 1 1 2 2 1 ...
..- attr(*, "label")= chr "DIFFICULTY WALKING OR CLIMBING STAIRS"
$ DIFFDRES: num [1:438693] 2 2 2 2 2 2 1 2 2 2 ...
..- attr(*, "label")= chr "DIFFICULTY DRESSING OR BATHING"
$ DIFFALON: num [1:438693] 1 1 2 2 2 2 1 2 1 2 ...
..- attr(*, "label")= chr "DIFFICULTY DOING ERRANDS ALONE"
$ SMOKE100: num [1:438693] 1 2 2 2 2 1 2 1 2 1 ...
..- attr(*, "label")= chr "SMOKED AT LEAST 100 CIGARETTES"
$ SMOKDAY2: num [1:438693] 3 NA NA NA NA 3 NA 3 NA 3 ...
..- attr(*, "label")= chr "FREQUENCY OF DAYS NOW SMOKING"
$ USENOW3 : num [1:438693] 3 3 3 3 2 2 3 3 3 3 ...
..- attr(*, "label")= chr "USE OF SMOKELESS TOBACCO PRODUCTS"
$ ECIGNOW1: num [1:438693] 3 3 3 3 3 3 3 3 3 3 ...
..- attr(*, "label")= chr "DO YOU NOW USE E-CIGARETTES, EVERY DAY,"
$ ALCDAY5 : num [1:438693] 888 888 888 101 888 888 888 888 888 203 ...
..- attr(*, "label")= chr "DAYS IN PAST 30 HAD ALCOHOLIC BEVERAGE"
$ AVEDRNK3: num [1:438693] NA NA NA 3 NA NA NA NA NA 2 ...
..- attr(*, "label")= chr "AVG ALCOHOLIC DRINKS PER DAY IN PAST 30"
$ DRNK3GE5: num [1:438693] NA NA NA 1 NA NA NA NA NA 88 ...
..- attr(*, "label")= chr "BINGE DRINKING"
$ MAXDRNKS: num [1:438693] NA NA NA 6 NA NA NA NA NA 2 ...
..- attr(*, "label")= chr "MOST DRINKS ON SINGLE OCCASION PAST 30 D"
$ FLUSHOT7: num [1:438693] 1 2 2 1 1 1 1 1 1 2 ...
..- attr(*, "label")= chr "ADULT FLU SHOT/SPRAY PAST 12 MOS"
$ FLSHTMY3: num [1:438693] 92020 NA NA 102020 92020 ...
..- attr(*, "label")= chr "WHEN RECEIVED MOST RECENT SEASONAL FLU S"
$ IMFVPLA2: num [1:438693] 1 NA NA 1 1 5 1 1 1 NA ...
..- attr(*, "label")= chr "WHERE DID YOU GET YOUR LAST FLU SHOT/VAC"
$ PNEUVAC4: num [1:438693] 1 2 2 2 1 1 2 1 2 1 ...
..- attr(*, "label")= chr "PNEUMONIA SHOT EVER"
$ HIVTST7 : num [1:438693] 2 2 2 2 1 2 2 2 2 2 ...
..- attr(*, "label")= chr "EVER TESTED H.I.V."
$ HIVTSTD3: num [1:438693] NA NA NA NA 777777 ...
..- attr(*, "label")= chr "MONTH AND YEAR OF LAST HIV TEST"
$ FRUIT2 : num [1:438693] 101 101 101 203 101 202 312 204 202 101 ...
..- attr(*, "label")= chr "HOW MANY TIMES DID YOU EAT FRUIT?"
$ FRUITJU2: num [1:438693] 555 555 555 205 555 555 301 555 101 555 ...
..- attr(*, "label")= chr "HOW MANY TIMES DID YOU DRINK 100 PERCENT"
$ FVGREEN1: num [1:438693] 204 201 555 303 101 201 203 202 555 202 ...
..- attr(*, "label")= chr "HOW MANY TIMES DID YOU EAT DARK GREEN VE"
$ FRENCHF1: num [1:438693] 203 555 201 204 202 555 203 555 777 202 ...
..- attr(*, "label")= chr "HOW OFTEN DO YOU EAT FRENCH FRIES OR FRI"
$ POTATOE1: num [1:438693] 201 201 201 308 202 201 302 204 555 203 ...
..- attr(*, "label")= chr "HOW OFTEN DO YOU EAT FRENCH FRIES OR FRI"
$ VEGETAB2: num [1:438693] 101 207 203 205 101 201 202 204 202 204 ...
..- attr(*, "label")= chr "HOW OFTEN DO YOU EAT FRENCH FRIES OR FRI"
$ PDIABTST: num [1:438693] 2 NA NA NA NA 2 1 1 1 1 ...
..- attr(*, "label")= chr "HAD A TEST FOR HIGH BLOOD SUGAR IN PAST"
$ PREDIAB1: num [1:438693] 3 NA NA NA NA 3 3 3 3 3 ...
..- attr(*, "label")= chr "EVER BEEN TOLD YOU HAVE PRE-DIABETES OR"
$ INSULIN1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "NOW TAKING INSULIN"
$ BLDSUGAR: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW OFTEN CHECK BLOOD FOR GLUCOSE"
$ FEETCHK3: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW OFTEN CHECK FEET FOR SORES OR IRRITA"
$ DOCTDIAB: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TIMES SEEN HEALTH PROFESSIONAL FOR DIABE"
$ CHKHEMO3: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TIMES CHECKED FOR GLYCOSYLATED HEMOGLOBI"
$ FEETCHK : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TIMES FEET CHECK FOR SORES/IRRITATIONS"
$ EYEEXAM1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "LAST EYE EXAM WHERE PUPILS WERE DILATED"
$ DIABEYE : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER TOLD DIABETES HAS AFFECTED EYES"
$ DIABEDU : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER TAKEN CLASS IN MANAGING DIABETES"
$ TOLDCFS : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TOLD HAD CHRONIC FATIGUE SYNDROME OR MYA"
$ HAVECFS : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "STILL HAVE CHRONIC FATIGUE SYNDROME OR M"
$ WORKCFS : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW MANY HOURS A WEEK ARE YOU BEEN ABLE"
$ TOLDHEPC: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TOLD HAD HEPATITIS C"
$ TRETHEPC: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TREATED FOR HEPATITIS C"
$ PRIRHEPC: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "WERE YOU TREATED FOR HEPATITIS C PRIOR T"
$ HAVEHEPC: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "STILL HAVE HEPATITIS C"
$ HAVEHEPB: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TOLD HAD HEPATITIS B"
$ MEDSHEPB: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "CURRENTLY TAKING MEDICINE FOR HEPATITIS"
$ HPVADVC4: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER HAD AN H.P.V. VACCINATION?"
$ HPVADSHT: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "NUMBER OF HPV SHOTS RECEIVED"
$ TETANUS1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "RECEIVED TETANUS SHOT SINCE 2005?"
$ SHINGLE2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HAVE YOU EVER HAD THE SHINGLES OR ZOSTER"
$ LCSFIRST: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW OLD WHEN YOU FIRST STARTED SMOKING?"
$ LCSLAST : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW OLD WHEN YOU LAST SMOKED?"
$ LCSNUMCG: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "ON AVERAGE, HOW MANY CIGARETTES DO YOU S"
$ LCSCTSCN: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DID YOU HAVE A CT OR CAT SCAN?"
$ HADMAM : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HAVE YOU EVER HAD A MAMMOGRAM"
$ HOWLONG : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW LONG SINCE LAST MAMMOGRAM"
$ CERVSCRN: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HAVE YOU EVER HAD A CERVICAL CANCER SCRE"
$ CRVCLCNC: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TIME SINCE LAST CERVICAL CANCER SCREENIN"
$ CRVCLPAP: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HAVE A PAP TEST AND RECENT CERVICAL CANC"
$ CRVCLHPV: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HAVE AN H.P.V. TEST AND RECENT CERVICAL"
$ HADHYST2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HAD HYSTERECTOMY"
$ PSATEST1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER HAD PSA TEST"
$ PSATIME1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TIME SINCE MOST RECENT PSA TEST"
$ PCPSARS2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "WHAT WAS THE MAIN REASON YOU HAD THIS PS"
$ PCSTALK : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DID YOU TALK ABOUT THE ADVANTAGES OR DIS"
$ HADSIGM4: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER HAD SIGMOIDOSCOPY/COLONOSCOPY"
$ COLNSIGM: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER HAD A COLONOSCOPY, SIGMOIDOSCOPY, O"
$ COLNTES1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW LONG HAS IT BEEN SINCE YOU HAD COLON"
$ SIGMTES1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW LONG HAS IT BEEN SINCE YOU HAD SIGMO"
$ LASTSIG4: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TIME SINCE LAST SIGMOIDOSCOPY/COLONOSCOP"
$ COLNCNCR: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER HAD ANY OTHER KIND OF TEST FOR COLO"
$ VIRCOLO1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HAVE YOU EVER HAD A VIRTUAL COLONOSCOPY?"
$ VCLNTES1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW LONG HAS IT BEEN SINCE YOU HAD VIRTU"
$ SMALSTOL: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER HAD STOOL TEST?"
$ STOLTEST: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW LONG SINCE YOU HAD STOOL TEST?"
$ STOOLDN1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER HAD STOOL DNA TEST?"
$ BLDSTFIT: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "WAS TEST PART OF COLOGUARD TEST?"
$ SDNATES1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW LONG SINCE YOU HAD STOOL DNA?"
$ CNCRDIFF: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW MANY TYPES OF CANCER?"
$ CNCRAGE : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "AGE TOLD HAD CANCER"
$ CNCRTYP1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TYPE OF CANCER"
$ CSRVTRT3: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "CURRENTLY RECEIVING TREATMENT FOR CANCER"
$ CSRVDOC1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "WHAT TYPE OF DOCTOR PROVIDES MAJORITY OF"
$ CSRVSUM : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DID YOU RECEIVE A SUMMARY OF CANCER TREA"
$ CSRVRTRN: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER RECEIVE INSTRUCTIONS FROM A DOCTOR"
$ CSRVINST: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "INSTRUCTIONS WRITTEN OR PRINTED"
$ CSRVINSR: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DID HEALTH INSURANCE PAY FOR ALL OF YOUR"
$ CSRVDEIN: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "EVER DENIED INSURANCE COVERAGE BECAUSE O"
$ CSRVCLIN: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "PARTICIPATE IN CLINICAL TRIAL AS PART OF"
$ CSRVPAIN: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "CURRENTLY HAVE PHYSICAL PAIN FROM CANCER"
$ CSRVCTL2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "IS PAIN UNDER CONTROL?"
$ HOMBPCHK: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "TOLD CHECK BLOOD PRESSURE AT HOME"
$ HOMRGCHK: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "REGULARLY CHECK BLOOD PRESSURE AT HOME"
$ WHEREBP : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "WHERE DO YOU GET BLOOD PRESSURE TAKEN"
$ SHAREBP : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HOW DO YOU SHARE YOUR BLOOD PRESSURE NUM"
$ WTCHSALT: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "WATCHING SODIUM OR SALT INTAKE"
$ DRADVISE: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DOCTOR ADVISED REDUCED SODIUM/SALT INTAK"
$ CIMEMLOS: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HAVE YOU EXPERIENCED CONFUSION OR MEMORY"
$ CDHOUSE : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "GIVEN UP DAY-TO-DAY CHORES DUE TO CONFUS"
$ CDASSIST: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "NEED ASSISTANCE WITH DAY-TO_DAY ACTIVITI"
$ CDHELP : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "WHEN YOU NEED HELP WITH DAY-TO-DAY ACTIV"
$ CDSOCIAL: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DOES CONFUSION OR MEMORY LOSS INTERFERE"
$ CDDISCUS: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HAVE YOU DISCUSSED YOUR CONFUSION OR MEM"
$ CAREGIV1: num [1:438693] 2 2 2 2 2 2 2 2 2 1 ...
..- attr(*, "label")= chr "PROVIDED REGULAR CARE FOR FAMILY OR FRIE"
$ CRGVREL4: num [1:438693] NA NA NA NA NA NA NA NA NA 15 ...
..- attr(*, "label")= chr "RELATIONSHIP OF PERSON TO WHOM YOU ARE G"
$ CRGVLNG1: num [1:438693] NA NA NA NA NA NA NA NA NA 2 ...
..- attr(*, "label")= chr "HOW LONG PROVIDED CARE FOR PERSON."
$ CRGVHRS1: num [1:438693] NA NA NA NA NA NA NA NA NA 1 ...
..- attr(*, "label")= chr "HOW MANY HOURS DO YOU PROVIDE CARE FOR P"
$ CRGVPRB3: num [1:438693] NA NA NA NA NA NA NA NA NA 15 ...
..- attr(*, "label")= chr "WHAT IS THE MAJOR HEALTH PROBLEM, ILLNES"
$ CRGVALZD: num [1:438693] NA NA NA NA NA NA NA NA NA 2 ...
..- attr(*, "label")= chr "DOES PERSON BEING CARED FOR HAVE ALZHEIM"
$ CRGVPER1: num [1:438693] NA NA NA NA NA NA NA NA NA 2 ...
..- attr(*, "label")= chr "MANAGED PERSONAL CARE"
$ CRGVHOU1: num [1:438693] NA NA NA NA NA NA NA NA NA 2 ...
..- attr(*, "label")= chr "MANAGED HOUSEHOLD TASKS"
$ CRGVEXPT: num [1:438693] 2 2 2 7 2 2 2 2 7 NA ...
..- attr(*, "label")= chr "DO YOU EXPECT TO HAVE A RELATIVE YOU WIL"
$ ACEDEPRS: num [1:438693] 2 2 2 1 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "LIVE WITH ANYONE DEPRESSED, MENTALLY ILL"
$ ACEDRINK: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "LIVE WITH A PROBLEM DRINKER/ALCOHOLIC?"
$ ACEDRUGS: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "LIVE WITH ANYONE WHO USED ILLEGAL DRUGS"
$ ACEPRISN: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "LIVE WITH ANYONE WHO SERVED TIME IN PRIS"
$ ACEDIVRC: num [1:438693] 1 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "WERE YOUR PARENTS DIVORCED/SEPERATED?"
$ ACEPUNCH: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "HOW OFTEN DID YOUR PARENTS BEAT EACH OTH"
$ ACEHURT1: num [1:438693] 1 1 1 3 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "HOW OFTEN DID A PARENT PHYSICALLY HURT Y"
$ ACESWEAR: num [1:438693] 1 1 1 1 1 1 1 1 1 3 ...
..- attr(*, "label")= chr "HOW OFTEN DID A PARENT SWEAR AT YOU?"
$ ACETOUCH: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "HOW OFTEN DID ANYONE EVER TOUCH YOU SEXU"
$ ACETTHEM: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "HOW OFTEN DID ANYONE MAKE YOU TOUCH THEM"
$ ACEHVSEX: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "HOW OFTEN DID ANYONE EVER FORCE YOU TO H"
$ ACEADSAF: num [1:438693] 5 5 5 5 5 5 5 5 5 4 ...
..- attr(*, "label")= chr "DID AN ADULT MAKE YOU FEEL SAFE AND PROT"
$ ACEADNED: num [1:438693] 3 5 5 5 5 5 5 5 5 4 ...
..- attr(*, "label")= chr "DID AN ADULT MAKE SURE BASIC NEEDS WERE"
$ MARIJAN1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DURING THE PAST 30 DAYS, ON HOW MANY DAY"
$ USEMRJN3: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DURING THE PAST 30 DAYS, HOW DID YOU PRI"
$ RSNMRJN2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "WHAT WAS THE REASON YOU USED MARIJUANA?"
$ LASTSMK2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "INTERVAL SINCE LAST SMOKED"
$ STOPSMK2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "STOPPED SMOKING IN PAST 12 MONTHS"
$ FIREARM5: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "ANY FIREARMS IN HOME"
$ GUNLOAD : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "ANY FIREARMS LOADED"
$ LOADULK2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "ANY LOADED FIREARMS ALSO UNLOCKED"
$ RCSGENDR: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "GENDER OF CHILD"
$ RCSRLTN2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "RELATIONSHIP TO CHILD"
$ CASTHDX2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "HLTH PRO EVER SAID CHILD HAS ASTHMA"
$ CASTHNO2: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "CHILD STILL HAVE ASTHMA?"
$ BIRTHSEX: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "ARE YOU MALE OR FEMALE?"
$ SOMALE : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "SEXUAL ORIENTATION"
$ SOFEMALE: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "SEXUAL ORIENTATION"
$ TRNSGNDR: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "DO YOU CONSIDER YOURSELF TO BE TRANSGEND"
$ QSTVER : num [1:438693] 10 10 10 10 10 10 10 10 10 10 ...
..- attr(*, "label")= chr "QUESTIONNAIRE VERSION IDENTIFIER"
$ QSTLANG : num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "LANGUAGE IDENTIFIER"
$ _METSTAT: num [1:438693] 1 1 1 1 2 2 2 1 1 1 ...
..- attr(*, "label")= chr "METROPOLITAN STATUS"
$ _URBSTAT: num [1:438693] 1 1 1 1 1 2 1 1 1 1 ...
..- attr(*, "label")= chr "URBAN/RURAL STATUS"
$ MSCODE : num [1:438693] 1 2 1 3 2 5 5 3 1 1 ...
..- attr(*, "label")= chr "METROPOLITAN STATUS CODE"
$ _STSTR : num [1:438693] 11011 11011 11011 11011 11011 ...
..- attr(*, "label")= chr "SAMPLE DESIGN STRATIFICATION VARIABLE"
$ _STRWT : num [1:438693] 39.8 39.8 39.8 39.8 39.8 ...
..- attr(*, "label")= chr "STRATUM WEIGHT"
$ _RAWRAKE: num [1:438693] 2 2 2 2 2 1 2 1 1 2 ...
..- attr(*, "label")= chr "RAW WEIGHTING FACTOR USED IN RAKING"
$ _WT2RAKE: num [1:438693] 79.5 79.5 79.5 79.5 79.5 ...
..- attr(*, "label")= chr "DESIGN WEIGHT USED IN RAKING"
$ _IMPRACE: num [1:438693] 1 2 2 1 6 1 1 1 1 1 ...
..- attr(*, "label")= chr "IMPUTED RACE/ETHNICITY VALUE"
$ _CHISPNC: num [1:438693] 9 9 9 9 9 9 9 9 9 9 ...
..- attr(*, "label")= chr "CHILD HISPANIC, LATINO/A, OR SPANISH ORI"
$ _CRACE1 : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "CHILD NON-HISPANIC RACE INCLUDING MULTIR"
$ _CPRACE1: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "PREFERRED CHILD RACE CATEGORIES"
$ CAGEG : num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "FOUR LEVEL CHILD AGE"
$ _CLLCPWT: num [1:438693] NA NA NA NA NA NA NA NA NA NA ...
..- attr(*, "label")= chr "FINAL CHILD WEIGHT: LAND-LINE AND CELL-P"
$ _DUALUSE: num [1:438693] 1 1 1 1 9 1 1 9 1 1 ...
..- attr(*, "label")= chr "DUAL PHONE USE CATEGORIES"
$ _DUALCOR: num [1:438693] 0.519 0.519 0.519 0.519 NA ...
..- attr(*, "label")= chr "DUAL PHONE USE CORRECTION FACTOR"
$ _LLCPWT2: num [1:438693] 874 874 874 874 2145 ...
..- attr(*, "label")= chr "TRUNCATED DESIGN WEIGHT USED IN ADULT CO"
$ _LLCPWT : num [1:438693] 745 299 588 1100 1712 ...
..- attr(*, "label")= chr "FINAL WEIGHT: LAND-LINE AND CELL-PHONE D"
$ _RFHLTH : num [1:438693] 2 1 1 1 2 1 1 2 1 1 ...
..- attr(*, "label")= chr "ADULTS WITH GOOD OR BETTER HEALTH"
$ _PHYS14D: num [1:438693] 3 1 1 1 3 1 3 1 1 3 ...
..- attr(*, "label")= chr "COMPUTED PHYSICAL HEALTH STATUS"
$ _MENT14D: num [1:438693] 2 1 1 2 1 1 1 1 1 2 ...
..- attr(*, "label")= chr "COMPUTED MENTAL HEALTH STATUS"
$ _HLTHPLN: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "HAVE ANY HEALTH INSURANCE"
$ _HCVU652: num [1:438693] 9 9 9 1 9 9 1 1 9 9 ...
..- attr(*, "label")= chr "RESPONDENTS AGED 18-64 WITH HEALTH INSUR"
$ _TOTINDA: num [1:438693] 2 1 2 1 1 2 2 1 2 1 ...
..- attr(*, "label")= chr "LEISURE TIME PHYSICAL ACTIVITY CALCULATE"
$ _RFHYPE6: num [1:438693] 1 2 2 2 1 1 2 2 1 2 ...
..- attr(*, "label")= chr "HIGH BLOOD PRESSURE CALCULATED VARIABLE"
$ _CHOLCH3: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "CHOLESTEROL CHECKED CALCULATED VARIABLE"
$ _RFCHOL3: num [1:438693] 2 2 1 2 2 1 1 2 1 1 ...
..- attr(*, "label")= chr "HIGH CHOLESTEROL CALCULATED VARIABLE"
$ _MICHD : num [1:438693] 2 1 1 2 1 2 2 1 2 2 ...
..- attr(*, "label")= chr "RESPONDENTS THAT HAVE EVER REPORTED HAVI"
$ _LTASTH1: num [1:438693] 2 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "LIFETIME ASTHMA CALCULATED VARIABLE"
$ _CASTHM1: num [1:438693] 2 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "CURRENT ASTHMA CALCULATED VARIABLE"
$ _ASTHMS1: num [1:438693] 1 3 3 3 3 3 3 3 3 3 ...
..- attr(*, "label")= chr "COMPUTED ASTHMA STATUS"
$ _DRDXAR3: num [1:438693] 1 1 2 2 2 2 1 1 2 1 ...
..- attr(*, "label")= chr "RESPONDENTS DIAGNOSED WITH ARTHRITIS"
$ _LMTACT3: num [1:438693] 2 1 3 3 3 3 1 2 3 2 ...
..- attr(*, "label")= chr "LIMITED USUAL ACTIVITIES"
$ _LMTWRK3: num [1:438693] 1 1 3 3 3 3 2 2 3 2 ...
..- attr(*, "label")= chr "LIMITED WORK ACTIVITIES"
$ _PRACE1 : num [1:438693] 1 2 2 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "COMPUTED PREFERRED RACE"
$ _MRACE1 : num [1:438693] 1 2 2 1 7 1 1 1 1 1 ...
..- attr(*, "label")= chr "CALCULATED NON-HISPANIC RACE INCLUDING M"
$ _HISPANC: num [1:438693] 2 2 2 2 2 2 2 2 2 2 ...
..- attr(*, "label")= chr "HISPANIC, LATINO/A, OR SPANISH ORIGIN CA"
$ _RACE : num [1:438693] 1 2 2 1 7 1 1 1 1 1 ...
..- attr(*, "label")= chr "COMPUTED RACE-ETHNICITY GROUPING"
$ _RACEG21: num [1:438693] 1 2 2 1 2 1 1 1 1 1 ...
..- attr(*, "label")= chr "COMPUTED NON-HISPANIC WHITES/ALL OTHERS"
$ _RACEGR3: num [1:438693] 1 2 2 1 4 1 1 1 1 1 ...
..- attr(*, "label")= chr "COMPUTED FIVE LEVEL RACE/ETHNICITY CATEG"
$ _RACEPRV: num [1:438693] 1 2 2 1 7 1 1 1 1 1 ...
..- attr(*, "label")= chr "COMPUTED RACE GROUPS USED FOR INTERNET P"
$ _SEX : num [1:438693] 2 2 2 2 1 1 1 1 2 2 ...
..- attr(*, "label")= chr "CALCULATED SEX VARIABLE"
$ _AGEG5YR: num [1:438693] 11 10 11 9 12 13 9 9 12 10 ...
..- attr(*, "label")= chr "REPORTED AGE IN FIVE-YEAR AGE CATEGORIES"
$ _AGE65YR: num [1:438693] 2 2 2 1 2 2 1 1 2 2 ...
..- attr(*, "label")= chr "REPORTED AGE IN TWO AGE GROUPS CALCULATE"
$ _AGE80 : num [1:438693] 70 67 72 62 76 80 63 62 78 65 ...
..- attr(*, "label")= chr "IMPUTED AGE VALUE COLLAPSED ABOVE 80"
$ _AGE_G : num [1:438693] 6 6 6 5 6 6 5 5 6 6 ...
..- attr(*, "label")= chr "IMPUTED AGE IN SIX GROUPS"
$ HTIN4 : num [1:438693] 59 66 65 64 71 75 72 69 63 65 ...
..- attr(*, "label")= chr "COMPUTED HEIGHT IN INCHES"
$ HTM4 : num [1:438693] 150 168 165 163 180 191 183 175 160 165 ...
..- attr(*, "label")= chr "COMPUTED HEIGHT IN METERS"
$ WTKG3 : num [1:438693] 3266 NA 7711 8845 9344 ...
..- attr(*, "label")= chr "COMPUTED WEIGHT IN KILOGRAMS"
$ _BMI5 : num [1:438693] 1454 NA 2829 3347 2873 ...
..- attr(*, "label")= chr "COMPUTED BODY MASS INDEX"
$ _BMI5CAT: num [1:438693] 1 NA 3 4 3 2 4 2 NA 4 ...
..- attr(*, "label")= chr "COMPUTED BODY MASS INDEX CATEGORIES"
$ _RFBMI5 : num [1:438693] 1 9 2 2 2 1 2 1 9 2 ...
..- attr(*, "label")= chr "OVERWEIGHT OR OBESE CALCULATED VARIABLE"
$ _CHLDCNT: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "COMPUTED NUMBER OF CHILDREN IN HOUSEHOLD"
$ _EDUCAG : num [1:438693] 2 4 2 2 1 3 4 1 1 2 ...
..- attr(*, "label")= chr "COMPUTED LEVEL OF EDUCATION COMPLETED CA"
$ _INCOMG1: num [1:438693] 3 9 2 5 2 4 9 9 9 5 ...
..- attr(*, "label")= chr "COMPUTED INCOME CATEGORIES"
$ _SMOKER3: num [1:438693] 3 4 4 4 4 3 4 3 4 3 ...
..- attr(*, "label")= chr "COMPUTED SMOKING STATUS"
$ _RFSMOK3: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "CURRENT SMOKING CALCULATED VARIABLE"
$ _CURECI1: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "CURRENT E-CIGARETTE USER CALCULATED VARI"
$ DRNKANY5: num [1:438693] 2 2 2 1 2 2 2 2 2 1 ...
..- attr(*, "label")= chr "DRINK ANY ALCOHOLIC BEVERAGES IN PAST 30"
$ DROCDY3_: num [1:438693] 0 0 0 14 0 0 0 0 0 10 ...
..- attr(*, "label")= chr "COMPUTED DRINK-OCCASIONS-PER-DAY"
$ _RFBING5: num [1:438693] 1 1 1 2 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "BINGE DRINKING CALCULATED VARIABLE"
$ _DRNKWK1: num [1:438693] 0 0 0 300 0 0 0 0 0 140 ...
..- attr(*, "label")= chr "COMPUTED NUMBER OF DRINKS OF ALCOHOL BEV"
$ _RFDRHV7: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "HEAVY ALCOHOL CONSUMPTION CALCULATED VA"
$ _FLSHOT7: num [1:438693] 1 2 2 NA 1 1 NA NA 1 2 ...
..- attr(*, "label")= chr "FLU SHOT CALCULATED VARIABLE"
$ _PNEUMO3: num [1:438693] 1 2 2 NA 1 1 NA NA 2 1 ...
..- attr(*, "label")= chr "PNEUMONIA VACCINATION CALCULATED VARIABL"
$ _AIDTST4: num [1:438693] 2 2 2 2 1 2 2 2 2 2 ...
..- attr(*, "label")= chr "EVER BEEN TESTED FOR HIV CALCULATED VARI"
$ FTJUDA2_: num [1:438693] 0 0 0 71 0 0 3 0 100 0 ...
..- attr(*, "label")= chr "COMPUTED FRUIT JUICE INTAKE IN TIMES PER"
$ FRUTDA2_: num [1:438693] 100 100 100 43 100 29 40 57 29 100 ...
..- attr(*, "label")= chr "COMPUTED FRUIT INTAKE IN TIMES PER DAY"
$ GRENDA1_: num [1:438693] 57 14 0 10 100 14 43 29 0 29 ...
..- attr(*, "label")= chr "COMPUTED DARK GREEN VEGETABLE INTAKE IN"
$ FRNCHDA_: num [1:438693] 43 0 14 57 29 0 43 0 NA 29 ...
..- attr(*, "label")= chr "FRENCH FRY INTAKE IN TIMES PER DAY"
$ POTADA1_: num [1:438693] 14 14 14 27 29 14 7 57 0 43 ...
..- attr(*, "label")= chr "COMPUTED POTATO SERVINGS PER DAY"
$ VEGEDA2_: num [1:438693] 100 100 43 71 100 14 29 57 29 57 ...
..- attr(*, "label")= chr "COMPUTED OTHER VEGETABLE INTAKE IN TIMES"
$ _MISFRT1: num [1:438693] 0 0 0 0 0 0 0 0 0 0 ...
..- attr(*, "label")= chr "THE NUMBER OF MISSING FRUIT RESPONSES"
$ _MISVEG1: num [1:438693] 0 0 0 0 0 0 0 0 1 0 ...
..- attr(*, "label")= chr "THE NUMBER OF MISSING VEGETABLE RESPONSE"
$ _FRTRES1: num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "MISSING ANY FRUIT RESPONSES"
$ _VEGRES1: num [1:438693] 1 1 1 1 1 1 1 1 0 1 ...
..- attr(*, "label")= chr "MISSING ANY VEGETABLE RESPONSES"
$ _FRUTSU1: num [1:438693] 100 100 100 114 100 29 43 57 129 100 ...
..- attr(*, "label")= chr "TOTAL FRUITS CONSUMED PER DAY"
$ _VEGESU1: num [1:438693] 214 128 71 165 258 42 122 143 NA 158 ...
..- attr(*, "label")= chr "TOTAL VEGETABLES CONSUMED PER DAY"
$ _FRTLT1A: num [1:438693] 1 1 1 1 1 2 2 2 1 1 ...
..- attr(*, "label")= chr "CONSUME FRUIT 1 OR MORE TIMES PER DAY"
$ _VEGLT1A: num [1:438693] 1 1 2 1 1 2 1 1 9 1 ...
..- attr(*, "label")= chr "CONSUME VEGETABLES 1 OR MORE TIMES PER D"
$ _FRT16A : num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "REPORTED CONSUMING FRUIT >16/DAY"
$ _VEG23A : num [1:438693] 1 1 1 1 1 1 1 1 1 1 ...
..- attr(*, "label")= chr "REPORTED CONSUMING VEGETABLES >23/DAY"
$ _FRUITE1: num [1:438693] 0 0 0 0 0 0 0 0 0 0 ...
..- attr(*, "label")= chr "FRUIT EXCLUSION FROM ANALYSES"
$ _VEGETE1: num [1:438693] 0 0 0 0 0 0 0 0 1 0 ...
..- attr(*, "label")= chr "VEGETABLE EXCLUSION FROM ANALYSES"
attr(brfss21, which = "labels")
NULL
names(brfss21) <- str_replace(names(brfss21),"_","")
tabyl(brfss21$SEXVAR)
brfss21$SEXVAR n percent
1 203810 0.4645846
2 234883 0.5354154
tabyl(brfss21$EDUCAG)
brfss21$EDUCAG n percent
1 25991 0.059246443
2 111545 0.254266651
3 120102 0.273772319
4 178577 0.407065989
9 2478 0.005648597
tabyl(brfss21$RFSMOK3 )
brfss21$RFSMOK3 n percent
1 359891 0.82037097
2 53832 0.12270996
9 24970 0.05691908
tabyl(brfss21$CHCSCNCR)
brfss21$CHCSCNCR n percent valid_percent
1 41112 9.371474e-02 0.0937151663
2 396140 9.030005e-01 0.9030046206
7 1151 2.623703e-03 0.0026237146
9 288 6.564955e-04 0.0006564985
NA 2 4.558997e-06 NA
<- brfss21 %>% filter(EDUCAG %in% c(1:4))
brfss21.c
<-filter(brfss21.c, AGEG5YR != 14)
brfss21.c
<- filter(brfss21.c, !CHCSCNCR %in% c(7:9))
brfss21.c
<- filter(brfss21.c, RFSMOK3 !=9) brfss21.c
nrow(brfss21.c)
[1] 403589
$SEXVAR.female <- brfss21.c$SEXVAR-1 # 0 = male; 1 = female
brfss21.c
$CHCSCNCR.skincancer<- car::recode(brfss21.c$CHCSCNCR, recodes = "1=1;2=0; else=NA")
brfss21.c
$RFSMOK3.smoke <- car::recode(brfss21.c$RFSMOK3, recodes= "1=0;2=1; else=NA")
brfss21.c
$EDUCAG.graduate <- car::recode(brfss21.c$EDUCAG, recodes= "1:3 = 0; 4=1") brfss21.c
mean(brfss21.c$AGE80)
[1] 54.73399
mean(brfss21.c$SEXVAR.female)
[1] 0.5360602
mean(brfss21.c$CHCSCNCR.skincancer, na.rm=T)
[1] 0.09562946
mean(brfss21.c$EDUCAG.graduate)
[1] 0.4101475
$AGE80SQ<- brfss21.c$AGE80*brfss21.c$AGE80
brfss21.c
$AGE80SQ<- brfss21.c$AGE80*brfss21.c$AGE80 brfss21.c
<- brfss21.c %>%
ageprobsgroup_by(AGE80) %>%
summarize(p=mean(CHCSCNCR.skincancer),n=n())
$num <- ageprobs$p*(1-ageprobs$p)
ageprobs
$sep <- sqrt(ageprobs$num/ageprobs$n)
ageprobs
$me <- 2*ageprobs$sep
ageprobs
ggplot(data =ageprobs, aes(x = AGE80, y = p, ymin=p-me, ymax=p+me)) +
geom_line() + ylim(0,1) + geom_ribbon(alpha=0.3,aes(color=NULL)) +
labs(title="Skin Cancer by Age",
subtitle="Respondents in Sample",
caption="Source: 2021 BRFSS Data") +
xlab(label="Age at Survey") +
ylab(label="Proportion of Respondents with Skin Cancer")
<- glm(CHCSCNCR.skincancer ~ AGE80, family = "binomial", data = brfss21.c)
model0 summary(model0)
Call:
glm(formula = CHCSCNCR.skincancer ~ AGE80, family = "binomial",
data = brfss21.c)
Deviance Residuals:
Min 1Q Median 3Q Max
-0.8070 -0.5076 -0.3096 -0.1554 3.3220
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -6.8371771 0.0333722 -204.9 <2e-16 ***
AGE80 0.0735282 0.0004825 152.4 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 254562 on 403588 degrees of freedom
Residual deviance: 219754 on 403587 degrees of freedom
AIC: 219758
Number of Fisher Scoring iterations: 6
$coefficients = exp(model0$coefficients)
model0
summary(model0)
Call:
glm(formula = CHCSCNCR.skincancer ~ AGE80, family = "binomial",
data = brfss21.c)
Deviance Residuals:
Min 1Q Median 3Q Max
-0.8070 -0.5076 -0.3096 -0.1554 3.3220
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.0010731 0.0333722 0.032 0.974
AGE80 1.0762989 0.0004825 2230.726 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 254562 on 403588 degrees of freedom
Residual deviance: 219754 on 403587 degrees of freedom
AIC: 219758
Number of Fisher Scoring iterations: 6
#MERs<-margins(model0,variables="AGE80", at=list(AGE80=c(18,20,30,40,50,60,70,80)))
#summary(MERs)
<- brfss21.c %>%
ageprobsgroup_by(EDUCAG.graduate, SEXVAR.female, AGE80) %>%
summarize(pskincancer=mean(CHCSCNCR.skincancer),n=n())
`summarise()` has grouped output by 'EDUCAG.graduate', 'SEXVAR.female'. You can
override using the `.groups` argument.
ggplot(data =ageprobs, aes(x = AGE80, y = pskincancer, color = factor(EDUCAG.graduate), group = EDUCAG.graduate)) + geom_line() + facet_wrap(~ SEXVAR.female) + ylim(0,.5)
<- glm(CHCSCNCR.skincancer ~ AGE80 + EDUCAG.graduate + SEXVAR.female, family = "binomial", data = brfss21.c)
model1 summary(model1)
Call:
glm(formula = CHCSCNCR.skincancer ~ AGE80 + EDUCAG.graduate +
SEXVAR.female, family = "binomial", data = brfss21.c)
Deviance Residuals:
Min 1Q Median 3Q Max
-0.9288 -0.5119 -0.3077 -0.1532 3.4174
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -6.997992 0.034749 -201.39 <2e-16 ***
AGE80 0.074927 0.000488 153.56 <2e-16 ***
EDUCAG.graduate 0.386418 0.011304 34.18 <2e-16 ***
SEXVAR.female -0.187187 0.011282 -16.59 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 254562 on 403588 degrees of freedom
Residual deviance: 218253 on 403585 degrees of freedom
AIC: 218261
Number of Fisher Scoring iterations: 6
$coefficients = exp(model1$coefficients)
model1summary(model1)
Call:
glm(formula = CHCSCNCR.skincancer ~ AGE80 + EDUCAG.graduate +
SEXVAR.female, family = "binomial", data = brfss21.c)
Deviance Residuals:
Min 1Q Median 3Q Max
-0.9288 -0.5119 -0.3077 -0.1532 3.4174
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.0009137 0.0347492 0.026 0.979
AGE80 1.0778060 0.0004880 2208.833 <2e-16 ***
EDUCAG.graduate 1.4717004 0.0113043 130.189 <2e-16 ***
SEXVAR.female 0.8292884 0.0112820 73.505 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 254562 on 403588 degrees of freedom
Residual deviance: 218253 on 403585 degrees of freedom
AIC: 218261
Number of Fisher Scoring iterations: 6
emmeans(model1, specs = "EDUCAG.graduate",
regrid = "response")
EDUCAG.graduate prob SE df asymp.LCL asymp.UCL
0 1 2.30e-18 Inf 1 1
1 1 2.28e-18 Inf 1 1
Results are averaged over the levels of: SEXVAR.female
Confidence level used: 0.95
emmeans(model1, specs = "EDUCAG.graduate",
regrid = "response") |>
contrast(method = "revpairwise") |>
confint()
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 0 2.51e-18 Inf -4.92e-18 4.92e-18
Results are averaged over the levels of: SEXVAR.female
Confidence level used: 0.95
#MERs: marginal effects at representative values
for (i in c(20,40,50,60,80))
{print(paste("At age = ", i))
emmeans(model1, specs = "EDUCAG.graduate", by = "SEXVAR.female", at = list(AGE80=i),
regrid = "response") |>
contrast(method = "revpairwise") |>
confint() %>% print()
}
[1] "At age = 20"
SEXVAR.female = 0:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 3.35e-10 8.93e-12 Inf 3.17e-10 3.52e-10
SEXVAR.female = 1:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 1.46e-10 3.93e-12 Inf 1.38e-10 1.54e-10
Confidence level used: 0.95
[1] "At age = 40"
SEXVAR.female = 0:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 0 2.51e-18 Inf -4.92e-18 4.92e-18
SEXVAR.female = 1:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 0 2.51e-18 Inf -4.92e-18 4.92e-18
Confidence level used: 0.95
[1] "At age = 50"
SEXVAR.female = 0:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 0 2.51e-18 Inf -4.92e-18 4.92e-18
SEXVAR.female = 1:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 0 2.51e-18 Inf -4.92e-18 4.92e-18
Confidence level used: 0.95
[1] "At age = 60"
SEXVAR.female = 0:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 0 2.51e-18 Inf -4.92e-18 4.92e-18
SEXVAR.female = 1:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 0 2.51e-18 Inf -4.92e-18 4.92e-18
Confidence level used: 0.95
[1] "At age = 80"
SEXVAR.female = 0:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 0 2.51e-18 Inf -4.92e-18 4.92e-18
SEXVAR.female = 1:
contrast estimate SE df asymp.LCL asymp.UCL
EDUCAG.graduate1 - EDUCAG.graduate0 0 2.51e-18 Inf -4.92e-18 4.92e-18
Confidence level used: 0.95
<- predict(model1, newdata = data.frame(EDUCAG.graduate=1, SEXVAR.female=brfss21.c$SEXVAR.female,AGE80=brfss21.c$AGE80),
EDUCAG_eff.grad type = "response")
<- predict(model1, newdata = data.frame(EDUCAG.graduate=0, SEXVAR.female=brfss21.c$SEXVAR.female,AGE80=brfss21.c$AGE80),
EDUCAG_eff.nograd type = "response")
mean(EDUCAG_eff.grad - EDUCAG_eff.nograd)
[1] 2.587651e-11