Factors about continuing education (Veteran)

Female
Male
Other
Overall
Post 9/11
(N=326)		 Pre 9/11
(N=118)		 Post 9/11
(N=262)		 Pre 9/11
(N=466)		 Post 9/11
(N=6)		 Pre 9/11
(N=7)		 Post 9/11
(N=594)		 Pre 9/11
(N=591)
I.had.to.provide.for.take.care.of.a.spouse.partner
No 232 (71.2%) 90 (76.3%) 176 (67.2%) 330 (70.8%) 6 (100%) 5 (71.4%) 414 (69.7%) 425 (71.9%)
Yes 94 (28.8%) 28 (23.7%) 86 (32.8%) 136 (29.2%) 0 (0%) 2 (28.6%) 180 (30.3%) 166 (28.1%)
I.had.to.provide.for.take.care.of.children
No 150 (46.0%) 68 (57.6%) 157 (59.9%) 350 (75.1%) 5 (83.3%) 5 (71.4%) 312 (52.5%) 423 (71.6%)
Yes 176 (54.0%) 50 (42.4%) 105 (40.1%) 116 (24.9%) 1 (16.7%) 2 (28.6%) 282 (47.5%) 168 (28.4%)
I.felt.I.had.enough.education
No 255 (78.2%) 96 (81.4%) 197 (75.2%) 352 (75.5%) 4 (66.7%) 6 (85.7%) 456 (76.8%) 454 (76.8%)
Yes 71 (21.8%) 22 (18.6%) 65 (24.8%) 114 (24.5%) 2 (33.3%) 1 (14.3%) 138 (23.2%) 137 (23.2%)
Not.applicable
No 295 (90.5%) 91 (77.1%) 215 (82.1%) 328 (70.4%) 3 (50.0%) 4 (57.1%) 513 (86.4%) 423 (71.6%)
Yes 31 (9.5%) 27 (22.9%) 47 (17.9%) 138 (29.6%) 3 (50.0%) 3 (42.9%) 81 (13.6%) 168 (28.4%)
I.had.to.provide.for.take.care.of.parents
No 272 (83.4%) 103 (87.3%) 215 (82.1%) 449 (96.4%) 6 (100%) 6 (85.7%) 493 (83.0%) 558 (94.4%)
Yes 54 (16.6%) 15 (12.7%) 47 (17.9%) 17 (3.6%) 0 (0%) 1 (14.3%) 101 (17.0%) 33 (5.6%)
Other
No 313 (96.0%) 113 (95.8%) 249 (95.0%) 426 (91.4%) 6 (100%) 5 (71.4%) 568 (95.6%) 544 (92.0%)
Yes 13 (4.0%) 5 (4.2%) 13 (5.0%) 40 (8.6%) 0 (0%) 2 (28.6%) 26 (4.4%) 47 (8.0%)
Gender
Female 326 (100%) 118 (100%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 326 (54.9%) 118 (20.0%)
Male 0 (0%) 0 (0%) 262 (100%) 466 (100%) 0 (0%) 0 (0%) 262 (44.1%) 466 (78.8%)
Other 0 (0%) 0 (0%) 0 (0%) 0 (0%) 6 (100%) 7 (100%) 6 (1.0%) 7 (1.2%)
status9_11
Post 9/11 326 (100%) 0 (0%) 262 (100%) 0 (0%) 6 (100%) 0 (0%) 594 (100%) 0 (0%)
Pre 9/11 0 (0%) 118 (100%) 0 (0%) 466 (100%) 0 (0%) 7 (100%) 0 (0%) 591 (100%)

Unpaid work, Veteran survey Q5.7

Female
Male
Other
Overall
Post 9/11
(N=326)		 Pre 9/11
(N=118)		 Post 9/11
(N=262)		 Pre 9/11
(N=466)		 Post 9/11
(N=6)		 Pre 9/11
(N=7)		 Post 9/11
(N=594)		 Pre 9/11
(N=591)
I.do.not.do.any.unpaid.work.
No 228 (69.9%) 65 (55.1%) 161 (61.5%) 144 (30.9%) 5 (83.3%) 3 (42.9%) 394 (66.3%) 212 (35.9%)
Yes 98 (30.1%) 53 (44.9%) 101 (38.5%) 322 (69.1%) 1 (16.7%) 4 (57.1%) 200 (33.7%) 379 (64.1%)
Volunteer.work
No 263 (80.7%) 97 (82.2%) 207 (79.0%) 389 (83.5%) 3 (50.0%) 5 (71.4%) 473 (79.6%) 491 (83.1%)
Yes 63 (19.3%) 21 (17.8%) 55 (21.0%) 77 (16.5%) 3 (50.0%) 2 (28.6%) 121 (20.4%) 100 (16.9%)
Full.time.care.of.children.under.the.age.of.18.
No 203 (62.3%) 88 (74.6%) 196 (74.8%) 439 (94.2%) 5 (83.3%) 7 (100%) 404 (68.0%) 534 (90.4%)
Yes 123 (37.7%) 30 (25.4%) 66 (25.2%) 27 (5.8%) 1 (16.7%) 0 (0%) 190 (32.0%) 57 (9.6%)
Part.time.care.of.children.under.the.age.of.18.
No 291 (89.3%) 110 (93.2%) 234 (89.3%) 453 (97.2%) 5 (83.3%) 7 (100%) 530 (89.2%) 570 (96.4%)
Yes 35 (10.7%) 8 (6.8%) 28 (10.7%) 13 (2.8%) 1 (16.7%) 0 (0%) 64 (10.8%) 21 (3.6%)
Full.time.homemaker.without.full.time.child.or.elder.care.responsibilities.
No 311 (95.4%) 113 (95.8%) 250 (95.4%) 456 (97.9%) 5 (83.3%) 6 (85.7%) 566 (95.3%) 575 (97.3%)
Yes 15 (4.6%) 5 (4.2%) 12 (4.6%) 10 (2.1%) 1 (16.7%) 1 (14.3%) 28 (4.7%) 16 (2.7%)
Full.time.care.of.an.adult
No 304 (93.3%) 109 (92.4%) 246 (93.9%) 450 (96.6%) 6 (100%) 6 (85.7%) 556 (93.6%) 565 (95.6%)
Yes 22 (6.7%) 9 (7.6%) 16 (6.1%) 16 (3.4%) 0 (0%) 1 (14.3%) 38 (6.4%) 26 (4.4%)
Part.time.care.of.an.adult.
No 303 (92.9%) 112 (94.9%) 248 (94.7%) 453 (97.2%) 4 (66.7%) 7 (100%) 555 (93.4%) 572 (96.8%)
Yes 23 (7.1%) 6 (5.1%) 14 (5.3%) 13 (2.8%) 2 (33.3%) 0 (0%) 39 (6.6%) 19 (3.2%)
Gender
Female 326 (100%) 118 (100%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 326 (54.9%) 118 (20.0%)
Male 0 (0%) 0 (0%) 262 (100%) 466 (100%) 0 (0%) 0 (0%) 262 (44.1%) 466 (78.8%)
Other 0 (0%) 0 (0%) 0 (0%) 0 (0%) 6 (100%) 7 (100%) 6 (1.0%) 7 (1.2%)
status9_11
Post 9/11 326 (100%) 0 (0%) 262 (100%) 0 (0%) 6 (100%) 0 (0%) 594 (100%) 0 (0%)
Pre 9/11 0 (0%) 118 (100%) 0 (0%) 466 (100%) 0 (0%) 7 (100%) 0 (0%) 591 (100%)

Housing economics and COVID, Veteran survey Q17.2

Female
(N=444)		 Male
(N=728)		 Other
(N=13)		 Overall
(N=1185)
My.work.is.was.disrupted.due.to.the.COVID.19.pandemic.
No 328 (73.9%) 591 (81.2%) 10 (76.9%) 929 (78.4%)
Yes 116 (26.1%) 137 (18.8%) 3 (23.1%) 256 (21.6%)
My.work.situation.had.to.change.due.to.COVID.
No 354 (79.7%) 628 (86.3%) 12 (92.3%) 994 (83.9%)
Yes 90 (20.3%) 100 (13.7%) 1 (7.7%) 191 (16.1%)
I.lost.a.friend.or.family.member
No 401 (90.3%) 642 (88.2%) 12 (92.3%) 1055 (89.0%)
Yes 43 (9.7%) 86 (11.8%) 1 (7.7%) 130 (11.0%)
None.of.the.above.
No 322 (72.5%) 404 (55.5%) 7 (53.8%) 733 (61.9%)
Yes 122 (27.5%) 324 (44.5%) 6 (46.2%) 452 (38.1%)
I.my.household.had.a.stay.in.place.order.or.had.to.self.quarantine.for.two.weeks.or.more.
No 403 (90.8%) 668 (91.8%) 12 (92.3%) 1083 (91.4%)
Yes 41 (9.2%) 60 (8.2%) 1 (7.7%) 102 (8.6%)
X.or.job.demands.
No 431 (97.1%) 718 (98.6%) 13 (100%) 1162 (98.1%)
Yes 13 (2.9%) 10 (1.4%) 0 (0%) 23 (1.9%)
X.safety
No 431 (97.1%) 718 (98.6%) 13 (100%) 1162 (98.1%)
Yes 13 (2.9%) 10 (1.4%) 0 (0%) 23 (1.9%)
A.household.member.became.sick.or.was.injured.
No 402 (90.5%) 687 (94.4%) 12 (92.3%) 1101 (92.9%)
Yes 42 (9.5%) 41 (5.6%) 1 (7.7%) 84 (7.1%)
Our.family.lives.lived.separately.for.health
No 431 (97.1%) 718 (98.6%) 13 (100%) 1162 (98.1%)
Yes 13 (2.9%) 10 (1.4%) 0 (0%) 23 (1.9%)
Someone.moved.into
No 437 (98.4%) 721 (99.0%) 13 (100%) 1171 (98.8%)
Yes 7 (1.6%) 7 (1.0%) 0 (0%) 14 (1.2%)
I.have.had.to.move.out.of.our.home.
No 438 (98.6%) 725 (99.6%) 12 (92.3%) 1175 (99.2%)
Yes 6 (1.4%) 3 (0.4%) 1 (7.7%) 10 (0.8%)
I.stay.stayed.temporarily.with.friends.
No 439 (98.9%) 720 (98.9%) 12 (92.3%) 1171 (98.8%)
Yes 5 (1.1%) 8 (1.1%) 1 (7.7%) 14 (1.2%)
I.my.household.had.difficulty.getting.food.
No 439 (98.9%) 720 (98.9%) 12 (92.3%) 1171 (98.8%)
Yes 5 (1.1%) 8 (1.1%) 1 (7.7%) 14 (1.2%)
I.my.household.had.difficulty.paying.the.mortgage.or.rent.on.time.
No 436 (98.2%) 715 (98.2%) 12 (92.3%) 1163 (98.1%)
Yes 8 (1.8%) 13 (1.8%) 1 (7.7%) 22 (1.9%)
Gender
Female 444 (100%) 0 (0%) 0 (0%) 444 (37.5%)
Male 0 (0%) 728 (100%) 0 (0%) 728 (61.4%)
Other 0 (0%) 0 (0%) 13 (100%) 13 (1.1%)
status9_11
Post 9/11 326 (73.4%) 262 (36.0%) 6 (46.2%) 594 (50.1%)
Pre 9/11 118 (26.6%) 466 (64.0%) 7 (53.8%) 591 (49.9%)

Housing stability, Veteran survey Q17.4

Female
Male
Other
Overall
Post 9/11
(N=326)		 Pre 9/11
(N=118)		 Post 9/11
(N=262)		 Pre 9/11
(N=466)		 Post 9/11
(N=6)		 Pre 9/11
(N=7)		 Post 9/11
(N=594)		 Pre 9/11
(N=591)
None.of.the.above.
No 111 (34.0%) 27 (22.9%) 94 (35.9%) 48 (10.3%) 1 (16.7%) 4 (57.1%) 206 (34.7%) 79 (13.4%)
Yes 215 (66.0%) 91 (77.1%) 168 (64.1%) 418 (89.7%) 5 (83.3%) 3 (42.9%) 388 (65.3%) 512 (86.6%)
X.abandoned.building
No 291 (89.3%) 109 (92.4%) 229 (87.4%) 455 (97.6%) 6 (100%) 5 (71.4%) 526 (88.6%) 569 (96.3%)
Yes 35 (10.7%) 9 (7.6%) 33 (12.6%) 11 (2.4%) 0 (0%) 2 (28.6%) 68 (11.4%) 22 (3.7%)
X.or.another.place.not.meant.for.sleeping.
No 291 (89.3%) 109 (92.4%) 229 (87.4%) 455 (97.6%) 6 (100%) 5 (71.4%) 526 (88.6%) 569 (96.3%)
Yes 35 (10.7%) 9 (7.6%) 33 (12.6%) 11 (2.4%) 0 (0%) 2 (28.6%) 68 (11.4%) 22 (3.7%)
X.park
No 291 (89.3%) 109 (92.4%) 229 (87.4%) 455 (97.6%) 6 (100%) 5 (71.4%) 526 (88.6%) 569 (96.3%)
Yes 35 (10.7%) 9 (7.6%) 33 (12.6%) 11 (2.4%) 0 (0%) 2 (28.6%) 68 (11.4%) 22 (3.7%)
Had.to.leave.your.home.to.avoid.domestic.violence.or.other.unhealthy.or.life.threatening.situation.
No 302 (92.6%) 111 (94.1%) 244 (93.1%) 459 (98.5%) 6 (100%) 6 (85.7%) 552 (92.9%) 576 (97.5%)
Yes 24 (7.4%) 7 (5.9%) 18 (6.9%) 7 (1.5%) 0 (0%) 1 (14.3%) 42 (7.1%) 15 (2.5%)
Have.slept.in.a.car
No 291 (89.3%) 109 (92.4%) 229 (87.4%) 455 (97.6%) 6 (100%) 5 (71.4%) 526 (88.6%) 569 (96.3%)
Yes 35 (10.7%) 9 (7.6%) 33 (12.6%) 11 (2.4%) 0 (0%) 2 (28.6%) 68 (11.4%) 22 (3.7%)
Have.slept.in.a.shelter.or.temporary.accommodation.for.homeless.persons.
No 296 (90.8%) 113 (95.8%) 225 (85.9%) 459 (98.5%) 6 (100%) 5 (71.4%) 527 (88.7%) 577 (97.6%)
Yes 30 (9.2%) 5 (4.2%) 37 (14.1%) 7 (1.5%) 0 (0%) 2 (28.6%) 67 (11.3%) 14 (2.4%)
Considered.yourself.to.be.homeless.
No 292 (89.6%) 113 (95.8%) 234 (89.3%) 454 (97.4%) 5 (83.3%) 4 (57.1%) 531 (89.4%) 571 (96.6%)
Yes 34 (10.4%) 5 (4.2%) 28 (10.7%) 12 (2.6%) 1 (16.7%) 3 (42.9%) 63 (10.6%) 20 (3.4%)
Have.slept.in.a.friend.or.relativeâ..s.home.because.you.did.not.have.another.place.to.stay.
No 272 (83.4%) 104 (88.1%) 222 (84.7%) 454 (97.4%) 5 (83.3%) 4 (57.1%) 499 (84.0%) 562 (95.1%)
Yes 54 (16.6%) 14 (11.9%) 40 (15.3%) 12 (2.6%) 1 (16.7%) 3 (42.9%) 95 (16.0%) 29 (4.9%)
Had.to.leave.your.home.to.avoid.a.natural.disaster.
No 312 (95.7%) 114 (96.6%) 239 (91.2%) 459 (98.5%) 6 (100%) 4 (57.1%) 557 (93.8%) 577 (97.6%)
Yes 14 (4.3%) 4 (3.4%) 23 (8.8%) 7 (1.5%) 0 (0%) 3 (42.9%) 37 (6.2%) 14 (2.4%)
Gender
Female 326 (100%) 118 (100%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 326 (54.9%) 118 (20.0%)
Male 0 (0%) 0 (0%) 262 (100%) 466 (100%) 0 (0%) 0 (0%) 262 (44.1%) 466 (78.8%)
Other 0 (0%) 0 (0%) 0 (0%) 0 (0%) 6 (100%) 7 (100%) 6 (1.0%) 7 (1.2%)
status9_11
Post 9/11 326 (100%) 0 (0%) 262 (100%) 0 (0%) 6 (100%) 0 (0%) 594 (100%) 0 (0%)
Pre 9/11 0 (0%) 118 (100%) 0 (0%) 466 (100%) 0 (0%) 7 (100%) 0 (0%) 591 (100%)

Veterans only, reasons GI Bill not used: Q4.12

Female
Male
Other
Overall
Post 9/11
(N=326)		 Pre 9/11
(N=118)		 Post 9/11
(N=262)		 Pre 9/11
(N=466)		 Post 9/11
(N=6)		 Pre 9/11
(N=7)		 Post 9/11
(N=594)		 Pre 9/11
(N=591)
Other.reason.not.listed.above
No 322 (98.8%) 116 (98.3%) 254 (96.9%) 440 (94.4%) 6 (100%) 4 (57.1%) 582 (98.0%) 560 (94.8%)
Yes 4 (1.2%) 2 (1.7%) 8 (3.1%) 26 (5.6%) 0 (0%) 3 (42.9%) 12 (2.0%) 31 (5.2%)
I.chose.not.to.use.my.GI.Bill.benefits.
No 304 (93.3%) 113 (95.8%) 234 (89.3%) 399 (85.6%) 5 (83.3%) 6 (85.7%) 543 (91.4%) 518 (87.6%)
Yes 22 (6.7%) 5 (4.2%) 28 (10.7%) 67 (14.4%) 1 (16.7%) 1 (14.3%) 51 (8.6%) 73 (12.4%)
I.could.not.use.my.GI.Bill.benefits.within.the.required.time.frame.to.activate.them.
No 311 (95.4%) 109 (92.4%) 251 (95.8%) 450 (96.6%) 6 (100%) 7 (100%) 568 (95.6%) 566 (95.8%)
Yes 15 (4.6%) 9 (7.6%) 11 (4.2%) 16 (3.4%) 0 (0%) 0 (0%) 26 (4.4%) 25 (4.2%)
I.transferred.my.GI.Bill.Benefits.to.a.dependent
No 311 (95.4%) 116 (98.3%) 255 (97.3%) 465 (99.8%) 6 (100%) 7 (100%) 572 (96.3%) 588 (99.5%)
Yes 15 (4.6%) 2 (1.7%) 7 (2.7%) 1 (0.2%) 0 (0%) 0 (0%) 22 (3.7%) 3 (0.5%)
I.didnâ..t.understand.what.I.needed.to.do.to.use.the.GI.Bill.benefits.I.was.eligible.for.
No 310 (95.1%) 109 (92.4%) 247 (94.3%) 431 (92.5%) 5 (83.3%) 7 (100%) 562 (94.6%) 547 (92.6%)
Yes 16 (4.9%) 9 (7.6%) 15 (5.7%) 35 (7.5%) 1 (16.7%) 0 (0%) 32 (5.4%) 44 (7.4%)
Gender
Female 326 (100%) 118 (100%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 326 (54.9%) 118 (20.0%)
Male 0 (0%) 0 (0%) 262 (100%) 466 (100%) 0 (0%) 0 (0%) 262 (44.1%) 466 (78.8%)
Other 0 (0%) 0 (0%) 0 (0%) 0 (0%) 6 (100%) 7 (100%) 6 (1.0%) 7 (1.2%)
status9_11
Post 9/11 326 (100%) 0 (0%) 262 (100%) 0 (0%) 6 (100%) 0 (0%) 594 (100%) 0 (0%)
Pre 9/11 0 (0%) 118 (100%) 0 (0%) 466 (100%) 0 (0%) 7 (100%) 0 (0%) 591 (100%)

Non-Veteran survey Q3.4

Female
(N=469)		 Male
(N=472)		 Other
(N=13)		 Overall
(N=954)
I.felt.I.had.enough.education
No 333 (71.0%) 272 (57.6%) 12 (92.3%) 617 (64.7%)
Yes 136 (29.0%) 200 (42.4%) 1 (7.7%) 337 (35.3%)
Other
No 413 (88.1%) 418 (88.6%) 13 (100%) 844 (88.5%)
Yes 56 (11.9%) 54 (11.4%) 0 (0%) 110 (11.5%)
Not.applicable
No 301 (64.2%) 307 (65.0%) 2 (15.4%) 610 (63.9%)
Yes 168 (35.8%) 165 (35.0%) 11 (84.6%) 344 (36.1%)
I.had.to.provide.for.take.care.of.children
No 377 (80.4%) 430 (91.1%) 12 (92.3%) 819 (85.8%)
Yes 92 (19.6%) 42 (8.9%) 1 (7.7%) 135 (14.2%)
I.had.to.provide.for.take.care.of.parents
No 436 (93.0%) 460 (97.5%) 13 (100%) 909 (95.3%)
Yes 33 (7.0%) 12 (2.5%) 0 (0%) 45 (4.7%)
I.had.to.provide.for.take.care.of.a.spouse.partner
No 441 (94.0%) 439 (93.0%) 13 (100%) 893 (93.6%)
Yes 28 (6.0%) 33 (7.0%) 0 (0%) 61 (6.4%)
Gender
Female 469 (100%) 0 (0%) 0 (0%) 469 (49.2%)
Male 0 (0%) 472 (100%) 0 (0%) 472 (49.5%)
Other 0 (0%) 0 (0%) 13 (100%) 13 (1.4%) 
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## variables waist specified in 'method' not found

non-Veteran survey Q4.7

Female
(N=469)		 Male
(N=472)		 Other
(N=13)		 Overall
(N=954)
Full.time.care.of.an.adult
No 445 (94.9%) 466 (98.7%) 13 (100%) 924 (96.9%)
Yes 24 (5.1%) 6 (1.3%) 0 (0%) 30 (3.1%)
Part.time.care.of.children.under.the.age.of.18.
No 447 (95.3%) 452 (95.8%) 12 (92.3%) 911 (95.5%)
Yes 22 (4.7%) 20 (4.2%) 1 (7.7%) 43 (4.5%)
Volunteer.work
No 414 (88.3%) 401 (85.0%) 11 (84.6%) 826 (86.6%)
Yes 55 (11.7%) 71 (15.0%) 2 (15.4%) 128 (13.4%)
I.do.not.do.any.unpaid.work.
No 184 (39.2%) 122 (25.8%) 2 (15.4%) 308 (32.3%)
Yes 285 (60.8%) 350 (74.2%) 11 (84.6%) 646 (67.7%)
Full.time.homemaker.without.full.time.child.or.elder.care.responsibilities.
No 422 (90.0%) 466 (98.7%) 13 (100%) 901 (94.4%)
Yes 47 (10.0%) 6 (1.3%) 0 (0%) 53 (5.6%)
Full.time.care.of.children.under.the.age.of.18.
No 427 (91.0%) 457 (96.8%) 13 (100%) 897 (94.0%)
Yes 42 (9.0%) 15 (3.2%) 0 (0%) 57 (6.0%)
Part.time.care.of.an.adult.
No 447 (95.3%) 456 (96.6%) 13 (100%) 916 (96.0%)
Yes 22 (4.7%) 16 (3.4%) 0 (0%) 38 (4.0%)
No.Info
No 466 (99.4%) 469 (99.4%) 13 (100%) 948 (99.4%)
Yes 3 (0.6%) 3 (0.6%) 0 (0%) 6 (0.6%)
Gender
Female 469 (100%) 0 (0%) 0 (0%) 469 (49.2%)
Male 0 (0%) 472 (100%) 0 (0%) 472 (49.5%)
Other 0 (0%) 0 (0%) 13 (100%) 13 (1.4%) 
## Warning in compareGroups.fit(X = X, y = y, include.label = include.label, :
## variables waist specified in 'method' not found

non-Veteran survey Q15.2

Female
(N=469)		 Male
(N=472)		 Other
(N=13)		 Overall
(N=954)
None.of.the.above.
No 263 (56.1%) 234 (49.6%) 5 (38.5%) 502 (52.6%)
Yes 206 (43.9%) 238 (50.4%) 8 (61.5%) 452 (47.4%)
My.work.is.was.disrupted.due.to.the.COVID.19.pandemic.
No 387 (82.5%) 395 (83.7%) 12 (92.3%) 794 (83.2%)
Yes 82 (17.5%) 77 (16.3%) 1 (7.7%) 160 (16.8%)
I.my.household.had.a.stay.in.place.order.or.had.to.self.quarantine.for.two.weeks.or.more.
No 429 (91.5%) 444 (94.1%) 12 (92.3%) 885 (92.8%)
Yes 40 (8.5%) 28 (5.9%) 1 (7.7%) 69 (7.2%)
I.my.household.had.difficulty.paying.the.mortgage.or.rent.on.time.
No 454 (96.8%) 457 (96.8%) 13 (100%) 924 (96.9%)
Yes 15 (3.2%) 15 (3.2%) 0 (0%) 30 (3.1%)
My.work.situation.had.to.change.due.to.COVID.
No 417 (88.9%) 446 (94.5%) 11 (84.6%) 874 (91.6%)
Yes 52 (11.1%) 26 (5.5%) 2 (15.4%) 80 (8.4%)
I.lost.a.friend.or.family.member
No 397 (84.6%) 393 (83.3%) 12 (92.3%) 802 (84.1%)
Yes 72 (15.4%) 79 (16.7%) 1 (7.7%) 152 (15.9%)
X.or.job.demands.
No 463 (98.7%) 467 (98.9%) 13 (100%) 943 (98.8%)
Yes 6 (1.3%) 5 (1.1%) 0 (0%) 11 (1.2%)
X.safety
No 463 (98.7%) 467 (98.9%) 13 (100%) 943 (98.8%)
Yes 6 (1.3%) 5 (1.1%) 0 (0%) 11 (1.2%)
Our.family.lives.lived.separately.for.health
No 463 (98.7%) 467 (98.9%) 13 (100%) 943 (98.8%)
Yes 6 (1.3%) 5 (1.1%) 0 (0%) 11 (1.2%)
Someone.moved.into
No 463 (98.7%) 467 (98.9%) 12 (92.3%) 942 (98.7%)
Yes 6 (1.3%) 5 (1.1%) 1 (7.7%) 12 (1.3%)
A.household.member.became.sick.or.was.injured.
No 436 (93.0%) 446 (94.5%) 12 (92.3%) 894 (93.7%)
Yes 33 (7.0%) 26 (5.5%) 1 (7.7%) 60 (6.3%)
I.stay.stayed.temporarily.with.friends.
No 466 (99.4%) 470 (99.6%) 13 (100%) 949 (99.5%)
Yes 3 (0.6%) 2 (0.4%) 0 (0%) 5 (0.5%)
I.my.household.had.difficulty.getting.food.
No 458 (97.7%) 462 (97.9%) 13 (100%) 933 (97.8%)
Yes 11 (2.3%) 10 (2.1%) 0 (0%) 21 (2.2%)
I.have.had.to.move.out.of.our.home.
No 464 (98.9%) 470 (99.6%) 13 (100%) 947 (99.3%)
Yes 5 (1.1%) 2 (0.4%) 0 (0%) 7 (0.7%)
No.Info
No 469 (100%) 471 (99.8%) 13 (100%) 953 (99.9%)
Yes 0 (0%) 1 (0.2%) 0 (0%) 1 (0.1%)
Gender
Female 469 (100%) 0 (0%) 0 (0%) 469 (49.2%)
Male 0 (0%) 472 (100%) 0 (0%) 472 (49.5%)
Other 0 (0%) 0 (0%) 13 (100%) 13 (1.4%) 
## Warning in compareGroups.fit(X = X, y = y, include.label = include.label, :
## variables waist specified in 'method' not found

non-Veteran survey Q15.4

Female
(N=469)		 Male
(N=472)		 Other
(N=13)		 Overall
(N=954)
None.of.the.above.
No 52 (11.1%) 30 (6.4%) 2 (15.4%) 84 (8.8%)
Yes 417 (88.9%) 442 (93.6%) 11 (84.6%) 870 (91.2%)
X.abandoned.building
No 454 (96.8%) 461 (97.7%) 12 (92.3%) 927 (97.2%)
Yes 15 (3.2%) 11 (2.3%) 1 (7.7%) 27 (2.8%)
X.or.another.place.not.meant.for.sleeping.
No 454 (96.8%) 461 (97.7%) 12 (92.3%) 927 (97.2%)
Yes 15 (3.2%) 11 (2.3%) 1 (7.7%) 27 (2.8%)
X.park
No 454 (96.8%) 461 (97.7%) 12 (92.3%) 927 (97.2%)
Yes 15 (3.2%) 11 (2.3%) 1 (7.7%) 27 (2.8%)
Considered.yourself.to.be.homeless.
No 449 (95.7%) 463 (98.1%) 13 (100%) 925 (97.0%)
Yes 20 (4.3%) 9 (1.9%) 0 (0%) 29 (3.0%)
Had.to.leave.your.home.to.avoid.domestic.violence.or.other.unhealthy.or.life.threatening.situation.
No 455 (97.0%) 469 (99.4%) 11 (84.6%) 935 (98.0%)
Yes 14 (3.0%) 3 (0.6%) 2 (15.4%) 19 (2.0%)
Have.slept.in.a.car
No 454 (96.8%) 461 (97.7%) 12 (92.3%) 927 (97.2%)
Yes 15 (3.2%) 11 (2.3%) 1 (7.7%) 27 (2.8%)
Have.slept.in.a.friend.or.relativeâ..s.home.because.you.did.not.have.another.place.to.stay.
No 444 (94.7%) 459 (97.2%) 12 (92.3%) 915 (95.9%)
Yes 25 (5.3%) 13 (2.8%) 1 (7.7%) 39 (4.1%)
Have.slept.in.a.shelter.or.temporary.accommodation.for.homeless.persons.
No 458 (97.7%) 468 (99.2%) 13 (100%) 939 (98.4%)
Yes 11 (2.3%) 4 (0.8%) 0 (0%) 15 (1.6%)
No.Info
No 465 (99.1%) 469 (99.4%) 13 (100%) 947 (99.3%)
Yes 4 (0.9%) 3 (0.6%) 0 (0%) 7 (0.7%)
Had.to.leave.your.home.to.avoid.a.natural.disaster.
No 461 (98.3%) 468 (99.2%) 13 (100%) 942 (98.7%)
Yes 8 (1.7%) 4 (0.8%) 0 (0%) 12 (1.3%)
Gender
Female 469 (100%) 0 (0%) 0 (0%) 469 (49.2%)
Male 0 (0%) 472 (100%) 0 (0%) 472 (49.5%)
Other 0 (0%) 0 (0%) 13 (100%) 13 (1.4%) 
## Warning in compareGroups.fit(X = X, y = y, include.label = include.label, :
## variables waist specified in 'method' not found



---
title: 'NDAA Report 2 '
author: "TORCH"
date: "2/13/2021"
output:
  html_document:
    df_print: tibble
    fig_caption: yes
    toc: yes
    toc_float: yes
    code_download: yes
  word_document:
    toc: yes
---



```{r include=FALSE}
library(table1)
library(dplyr)
library(car)
```

```{r include=FALSE}
# data
df_v<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/VeteranNDAASurveyData_Final_V_2_7.csv",header = T)

df_nv<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Non-VeteranNDAASurveyDataFinal_NV2_7.csv",header = T)

```




```{r include=FALSE}
#df_v[df_v == "No Info"] <- NA
#df_v[df_v == "NEFTQ"] <- NA
#write.csv(Q2.5_exp, file = 'Serve_date.csv')

serve_date<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Serve_date.csv",header = T)


serve_date$September<- as.factor(serve_date$September)
serve_date$NEFTQ<- as.factor(serve_date$NEFTQ)


library(dplyr)
serve_date<- serve_date%>% 
       mutate(status9_11 = case_when((September == "Yes" | NEFTQ == "Yes") ~ "Post 9/11",
                                          TRUE ~ "Pre 9/11"))
df_v<-full_join(df_v,serve_date, by= "ResponseId" )


table(df_v$Q2.5)
table(df_v$status9_11)


```


#  Factors about continuing education (Veteran)

```{r eval=FALSE, include=FALSE}
#install.packages("dplyr")
library(dplyr)
library(tidyr)
library(stringr )

Q4.5_exp<-df_v %>% 
  select(Q4.5, ResponseId)
Q4.5_exp<-Q4.5_exp %>% mutate(Q4.5 = str_remove(Q4.5, ' \\(.*\\)?')) %>% 
 separate_rows(Q4.5, sep = ',') %>% count(ResponseId, Q4.5, name = 'Cnt') %>% 
  pivot_wider(id_cols = ResponseId, names_from = Q4.5, values_from = Cnt, values_fill = list(Cnt = 0)) %>% 
     mutate_all(~replace(., . == 0, "No")) %>% 
     mutate_all(~replace(., . == 1, "Yes"))



#write.csv(Q4.5_exp, file = 'Q4.5_exp.csv')
```



```{r echo=FALSE}
Q4.5_exp<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Q4.5_exp.csv",header = T)

df_gender<-df_v %>% 
  select(Gender, ResponseId, status9_11)

Q4.5_exp<-left_join(Q4.5_exp,df_gender, by= "ResponseId" )




Q4.5_exp <-Q4.5_exp %>% 
  select(-ResponseId, -`No.Info`, -X)


colnames(Q4.5_exp)[which(names(Q4.5_exp) == "I had to provide for/take care of a spouse/partner")] <- "I had to provide for take care of a spouse partner"

colnames(Q4.5_exp)[which(names(Q4.5_exp) == "I had to provide for/take care of children")] <- "I had to provide for take care of children"

colnames(Q4.5_exp)[which(names(Q4.5_exp) == "I had to provide for/take care of parents")] <- "I had to provide for take care of parents"

table1(~.|Gender*status9_11, data= Q4.5_exp)
  

```

# Unpaid work, Veteran survey Q5.7



```{r include=FALSE}
#install.packages("dplyr")
library(dplyr)
library(tidyr)
library(stringr )

Q5.7_exp<-df_v %>% 
  select(Q5.7, ResponseId)
Q5.7_exp<-Q5.7_exp %>% mutate(Q5.7 = str_remove(Q5.7, ' \\(.*\\)?')) %>% 
 separate_rows(Q5.7, sep = ',') %>% count(ResponseId, Q5.7, name = 'Cnt') %>% 
  pivot_wider(id_cols = ResponseId, names_from = Q5.7, values_from = Cnt, values_fill = list(Cnt = 0)) %>% 
     mutate_all(~replace(., . == 0, "No")) %>% 
     mutate_all(~replace(., . == 1, "Yes"))



#write.csv(Q5.7_exp, file = 'Q5.7_exp.csv')
```




```{r echo=FALSE}
Q5.7_exp<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Q5.7_exp.csv",header = T)

df_gender<-df_v %>% 
  select(Gender, ResponseId, status9_11)

Q5.7_exp<-left_join(Q5.7_exp,df_gender, by= "ResponseId" )




Q5.7_exp <-Q5.7_exp %>% 
  select(-ResponseId, -`No.Info`, -X)



table1(~.|Gender*status9_11, data= Q5.7_exp)
  

```




# Housing economics and COVID, Veteran survey Q17.2


```{r include=FALSE}
#install.packages("dplyr")
library(dplyr)
library(tidyr)
library(stringr )

Q17.2_exp<-df_v %>% 
  select(Q17.2, ResponseId)
Q17.2_exp<-Q17.2_exp %>% mutate(Q17.2 = str_remove(Q17.2, ' \\(.*\\)?')) %>% 
 separate_rows(Q17.2, sep = ',') %>% count(ResponseId, Q17.2, name = 'Cnt') %>% 
  pivot_wider(id_cols = ResponseId, names_from = Q17.2, values_from = Cnt, values_fill = list(Cnt = 0)) %>% 
     mutate_all(~replace(., . == 0, "No")) %>% 
     mutate_all(~replace(., . == 1, "Yes"))



#write.csv(Q17.2_exp, file = 'Q17.2_exp.csv')
```




```{r echo=FALSE}
Q17.2_exp<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Q17.2_exp.csv",header = T)

df_gender<-df_v %>% 
  select(Gender, ResponseId, status9_11)

Q17.2_exp<-left_join(Q17.2_exp,df_gender, by= "ResponseId" )




Q17.2_exp <-Q17.2_exp %>% 
  select(-ResponseId, -`No.Info`, -X)




table1(~.|Gender, data= Q17.2_exp)
  

```


# Housing stability, Veteran survey Q17.4




```{r include=FALSE}
#install.packages("dplyr")
library(dplyr)
library(tidyr)
library(stringr )

Q17.4_exp<-df_v %>% 
  select(Q17.4, ResponseId)
Q17.4_exp<-Q17.4_exp %>% mutate(Q17.4 = str_remove(Q17.4, ' \\(.*\\)?')) %>% 
 separate_rows(Q17.4, sep = ',') %>% count(ResponseId, Q17.4, name = 'Cnt') %>% 
  pivot_wider(id_cols = ResponseId, names_from = Q17.4, values_from = Cnt, values_fill = list(Cnt = 0)) %>% 
     mutate_all(~replace(., . == 0, "No")) %>% 
     mutate_all(~replace(., . == 1, "Yes"))



#write.csv(Q17.4_exp, file = 'Q17.4_exp.csv')
```




```{r echo=FALSE}
Q17.4_exp<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Q17.4_exp.csv",header = T)

df_gender<-df_v %>% 
  select(Gender, ResponseId, status9_11)

Q17.4_exp<-left_join(Q17.4_exp,df_gender, by= "ResponseId" )




Q17.4_exp <-Q17.4_exp %>% 
  select(-ResponseId, -`No.Info`, -X)




table1(~.|Gender*status9_11, data= Q17.4_exp)
  
```


# Veterans only, reasons GI Bill not used: Q4.12


```{r include=FALSE}
#install.packages("dplyr")
library(dplyr)
library(tidyr)
library(stringr )

Q4.12_exp<-df_v %>% 
  select(Q4.12, ResponseId)
Q4.12_exp<-Q4.12_exp %>% mutate(Q4.12 = str_remove(Q4.12, ' \\(.*\\)?')) %>% 
 separate_rows(Q4.12, sep = ',') %>% count(ResponseId, Q4.12, name = 'Cnt') %>% 
  pivot_wider(id_cols = ResponseId, names_from = Q4.12, values_from = Cnt, values_fill = list(Cnt = 0)) %>% 
     mutate_all(~replace(., . == 0, "No")) %>% 
     mutate_all(~replace(., . == 1, "Yes"))



#write.csv(Q4.12_exp, file = 'Q4.12_exp.csv')
```




```{r echo=FALSE}
Q4.12_exp<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Q4.12_exp.csv",header = T)

df_gender<-df_v %>% 
  select(Gender, ResponseId, status9_11)

Q4.12_exp<-left_join(Q4.12_exp,df_gender, by= "ResponseId" )




Q4.12_exp <-Q4.12_exp %>% 
  select(-ResponseId, -`No.Info`, -X, -NEFTQ)




table1(~.|Gender*status9_11, data= Q4.12_exp)


#Q4.12_exp$full <- with(Q4.12_exp, interaction( status9_11, Gender))






```

# Non-Veteran survey Q3.4


```{r include=FALSE}
#install.packages("dplyr")
library(dplyr)
library(tidyr)
library(stringr )

Q3.4_exp<-df_nv %>% 
  select(Q3.4, ResponseId)
Q3.4_exp<-Q3.4_exp %>% mutate(Q3.4 = str_remove(Q3.4, ' \\(.*\\)?')) %>% 
 separate_rows(Q3.4, sep = ',') %>% count(ResponseId, Q3.4, name = 'Cnt') %>% 
  pivot_wider(id_cols = ResponseId, names_from = Q3.4, values_from = Cnt, values_fill = list(Cnt = 0)) %>% 
     mutate_all(~replace(., . == 0, "No")) %>% 
     mutate_all(~replace(., . == 1, "Yes"))



#write.csv(Q3.4_exp, file = 'Q3.4_exp.csv')
```




```{r echo=FALSE}
Q3.4_exp<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Q3.4_exp.csv",header = T)

df_gender<-df_nv %>% 
  select(Gender, ResponseId) 

Q3.4_exp<-left_join(Q3.4_exp,df_gender, by= "ResponseId" )




Q3.4_exp <-Q3.4_exp %>% 
  select(-ResponseId, -X)%>% 
  filter(Gender!="No Info")




table1(~.|Gender, data= Q3.4_exp)



library(compareGroups)
resu1 <- compareGroups(Gender ~., data = Q3.4_exp, 
    method = c(waist = 2))
ccrr<-createTable(resu1)



export2csv(ccrr, file='table1.csv')


  
```

# non-Veteran survey Q4.7




```{r include=FALSE}
#install.packages("dplyr")
library(dplyr)
library(tidyr)
library(stringr )

Q4.7_exp<-df_nv %>% 
  select(Q4.7, ResponseId)
Q4.7_exp<-Q4.7_exp %>% mutate(Q4.7 = str_remove(Q4.7, ' \\(.*\\)?')) %>% 
 separate_rows(Q4.7, sep = ',') %>% count(ResponseId, Q4.7, name = 'Cnt') %>% 
  pivot_wider(id_cols = ResponseId, names_from = Q4.7, values_from = Cnt, values_fill = list(Cnt = 0)) %>% 
     mutate_all(~replace(., . == 0, "No")) %>% 
     mutate_all(~replace(., . == 1, "Yes"))



#write.csv(Q4.7_exp, file = 'Q4.7_exp.csv')
```




```{r echo=FALSE}
Q4.7_exp<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Q4.7_exp.csv",header = T)

df_gender<-df_nv %>% 
  select(Gender, ResponseId) 

Q4.7_exp<-left_join(Q4.7_exp,df_gender, by= "ResponseId" )




Q4.7_exp <-Q4.7_exp %>% 
  select(-ResponseId, -X)%>% 
  filter(Gender!="No Info")



table1(~.|Gender, data= Q4.7_exp)



library(compareGroups)
resu1 <- compareGroups(Gender ~., data = Q4.7_exp, 
    method = c(waist = 2))
ccrr<-createTable(resu1)



export2csv(ccrr, file='table2.csv')


```



#  non-Veteran survey Q15.2




```{r include=FALSE}
#install.packages("dplyr")
library(dplyr)
library(tidyr)
library(stringr )

Q15.2_exp<-df_nv %>% 
  select(Q15.2, ResponseId)
Q15.2_exp<-Q15.2_exp %>% mutate(Q15.2 = str_remove(Q15.2, ' \\(.*\\)?')) %>% 
 separate_rows(Q15.2, sep = ',') %>% count(ResponseId, Q15.2, name = 'Cnt') %>% 
  pivot_wider(id_cols = ResponseId, names_from = Q15.2, values_from = Cnt, values_fill = list(Cnt = 0)) %>% 
     mutate_all(~replace(., . == 0, "No")) %>% 
     mutate_all(~replace(., . == 1, "Yes"))



#write.csv(Q15.2_exp, file = 'Q15.2_exp.csv')
```




```{r echo=FALSE}
Q15.2_exp<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Q15.2_exp.csv",header = T)

df_gender<-df_nv %>% 
  select(Gender, ResponseId) 

Q15.2_exp<-left_join(Q15.2_exp,df_gender, by= "ResponseId" )




Q15.2_exp <-Q15.2_exp %>% 
  select(-ResponseId, -X)%>% 
  filter(Gender!="No Info")



table1(~.|Gender, data= Q15.2_exp)



library(compareGroups)
resu1 <- compareGroups(Gender ~., data = Q15.2_exp, 
    method = c(waist = 2))
ccrr<-createTable(resu1)



export2csv(ccrr, file='table3.csv')


```


# non-Veteran survey Q15.4




```{r include=FALSE}
#install.packages("dplyr")
library(dplyr)
library(tidyr)
library(stringr )

Q15.4_exp<-df_nv %>% 
  select(Q15.4, ResponseId)
Q15.4_exp<-Q15.4_exp %>% mutate(Q15.4 = str_remove(Q15.4, ' \\(.*\\)?')) %>% 
 separate_rows(Q15.4, sep = ',') %>% count(ResponseId, Q15.4, name = 'Cnt') %>% 
  pivot_wider(id_cols = ResponseId, names_from = Q15.4, values_from = Cnt, values_fill = list(Cnt = 0)) %>% 
     mutate_all(~replace(., . == 0, "No")) %>% 
     mutate_all(~replace(., . == 1, "Yes"))



#write.csv(Q15.4_exp, file = 'Q15.4_exp.csv')
```




```{r echo=FALSE}
Q15.4_exp<- read.csv("C:/Users/u6032404/OneDrive/backup 9.9.19/MJ/NDAA/CODE_Q/Q15.4_exp.csv",header = T)

df_gender<-df_nv %>% 
  select(Gender, ResponseId) 

Q15.4_exp<-left_join(Q15.4_exp,df_gender, by= "ResponseId" )




Q15.4_exp <-Q15.4_exp %>% 
  select(-ResponseId, -X)%>% 
  filter(Gender!="No Info")



table1(~.|Gender, data= Q15.4_exp)



library(compareGroups)
resu1 <- compareGroups(Gender ~., data = Q15.4_exp, 
    method = c(waist = 2))
ccrr<-createTable(resu1)



export2csv(ccrr, file='table4.csv')


```

