Publications by Ali
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library(table1) ## ## Attaching package: 'table1' ## The following objects are masked from 'package:base': ## ## units, units<- library(car) ## Loading required package: carData ## Registered S3 methods overwritten by 'tibble': ## method from ## format.tbl pillar ## print.tbl pillar library(dplyr) ## Warning: package 'dpl...
49 sym R (3661 sym/24 pcs) 10 tbl
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library(table1) ## ## Attaching package: 'table1' ## The following objects are masked from 'package:base': ## ## units, units<- library(car) ## Loading required package: carData ## Registered S3 methods overwritten by 'tibble': ## method from ## format.tbl pillar ## print.tbl pillar library(dplyr) ## Warning: package 'dpl...
49 sym R (3667 sym/24 pcs) 10 tbl
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library(table1) ## ## Attaching package: 'table1' ## The following objects are masked from 'package:base': ## ## units, units<- library(car) ## Loading required package: carData ## Registered S3 methods overwritten by 'tibble': ## method from ## format.tbl pillar ## print.tbl pillar library(dplyr) ## Warning: package 'dpl...
40 sym R (4324 sym/21 pcs) 7 tbl
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library(table1) ## ## Attaching package: 'table1' ## The following objects are masked from 'package:base': ## ## units, units<- library(car) ## Loading required package: carData ## Registered S3 methods overwritten by 'tibble': ## method from ## format.tbl pillar ## print.tbl pillar library(dplyr) ## Warning: package 'dpl...
40 sym R (4352 sym/21 pcs) 7 tbl
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Demographic Female(N=499) Male(N=493) No Info(N=3) Non-binary(N=7) Prefer not to say(N=5) Transgender female(N=1) Transgender male(N=1) Overall(N=1009) age Mean (SD) 49.1 (19.5) 62.0 (15.5) 70.7 (35.2) 22.7 (12.0) 53.0 (21.3) 59.0 (NA) 121 (NA) 55.4 (19.1) Median [Min, Max] 51.0 [18.0, 117] 66.0 [18.0, 98.0] 66.0 [38.0, 108] 18.0 [18.0, 50.0]...
21 sym 1 tbl
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Missing cases 32 cases are missing in the “our data”. I removed all. Military_Veteran Status Overall(N=1270) Separated.from.active.duty.at.end.of.commitment No 736 (58.0%) Yes 534 (42.0%) Traditional.retirement No 953 (75.0%) Yes 317 (25.0%) National.Guard.or.Reserve.currently.serving No 1122 (88.3%) Yes 148 (11.7%) Active.duty.mi...
1217 sym R (1222853 sym/175 pcs) 4 tbl
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Introduction In the following section, we will show the process of detecting specious cases in this survey based on the respondents’ age, military status,and their claimed serve date. Serve Date Overall(N=1010) September 2001 or later No 598 (59.2%) Yes 412 (40.8%) August 1990 to August 2001 No 849 (84.1%) Yes 161 (15.9%) Currently in ...
13439 sym R (2170 sym/8 pcs) 1 tbl
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library(ggplot2) ## Warning: package 'ggplot2' was built under R version 4.0.5 ## Registered S3 methods overwritten by 'tibble': ## method from ## format.tbl pillar ## print.tbl pillar library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The followi...
18 sym R (1228 sym/12 pcs) 1 img
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Full Sample Overall(N=1020) Screen1 I am a Veteran who previously served on Active Duty, National Guard, or Reserves 807 (79.1%) I am currently serving in the National Guard or Reserves 124 (12.2%) I have never served in the U.S. Military 89 (8.7%) Information of cases that never served in the U.S. Military ## # A tibble: 89 x 2 ## Scre...
14191 sym R (5261 sym/10 pcs) 1 img 5 tbl
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#Load required libraries library(foreign) library(survival) library(car) ## Loading required package: carData ## Registered S3 methods overwritten by 'tibble': ## method from ## format.tbl pillar ## print.tbl pillar library(survey) ## Loading required package: grid ## Loading required package: Matrix ## Warning: package 'Matri...
61 sym R (1429857 sym/56 pcs)