#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$Q2.5)
##
## August 1990 to August 2001
## 107
## August 1990 to August 2001,May 1975 to July 1990
## 23
## August 1990 to August 2001,May 1975 to July 1990,Vietnam Era (August 1964 to April 1975)
## 20
## May 1975 to July 1990
## 111
## May 1975 to July 1990,Vietnam Era (August 1964 to April 1975)
## 30
## May 1975 to July 1990,Vietnam Era (August 1964 to April 1975),Prior to August 1964
## 13
## NEFTQ
## 124
## Prior to August 1964
## 52
## September 2001 or later
## 417
## September 2001 or later,August 1990 to August 2001
## 32
## September 2001 or later,August 1990 to August 2001,May 1975 to July 1990
## 16
## September 2001 or later,August 1990 to August 2001,May 1975 to July 1990,Vietnam Era (August 1964 to April 1975)
## 2
## September 2001 or later,August 1990 to August 2001,Vietnam Era (August 1964 to April 1975)
## 1
## September 2001 or later,May 1975 to July 1990
## 2
## Vietnam Era (August 1964 to April 1975)
## 224
## Vietnam Era (August 1964 to April 1975),Prior to August 1964
## 11
table(df_v$status9_11)
##
## Post 9/11 Pre 9/11
## 594 591
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) |
|
| X | ||||||||
| Mean (SD) | 601 (357) | 620 (366) | 624 (352) | 645 (363) | 440 (362) | 779 (430) | 609 (354) | 641 (364) |
| Median [Min, Max] | 582 [1.00, 1240] | 622 [5.00, 1240] | 635 [6.00, 1240] | 656 [3.00, 1240] | 427 [54.0, 1000] | 862 [57.0, 1160] | 603 [1.00, 1240] | 650 [3.00, 1240] |
| 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%) |
| No.Info | ||||||||
| No | 326 (100%) | 118 (100%) | 261 (99.6%) | 465 (99.8%) | 6 (100%) | 7 (100%) | 593 (99.8%) | 590 (99.8%) |
| Yes | 0 (0%) | 0 (0%) | 1 (0.4%) | 1 (0.2%) | 0 (0%) | 0 (0%) | 1 (0.2%) | 1 (0.2%) |
| 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%) |