all samples— data glance
## Rows: 285
## Columns: 11
## $ SamplelID <chr> "CL-287-TRO", "CL-486-TRO", "CL-493-TRO", "CL-119-…
## $ pid <chr> "CL-287-TRO", "CL-486-TRO", "CL-493-TRO", "CL-119-…
## $ studysite <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,…
## $ gender <dbl> 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1,…
## $ age <dbl> 40, 63, 51, 48, 72, 60, 30, 67, 41, 52, 51, 59, 45…
## $ malaria_rdt_result <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0,…
## $ hiv_rdt_result <chr> "1", "0", "0", "NA", "1", "0", "1", "1", "0", "1",…
## $ suppressedviralload <chr> "1", "NA", "NA", "NA", "NA", "NA", "0", "1", "NA",…
## $ age_group <chr> "40-49", "60+", "50-59", "40-49", "60+", "60+", "3…
## $ .row_id_internal <dbl> 129, 238, 244, 13, 227, 22, 173, 207, 275, 216, 19…
## $ Randomized_Order <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,…
Randomly selected 110 samples– data glance
## # A tibble: 110 × 11
## SamplelID pid studysite gender age malaria_rdt_result hiv_rdt_result
## <chr> <chr> <chr> <chr> <dbl> <chr> <chr>
## 1 CL-17-TRO CL-17-TRO 2 2 80 0 0
## 2 CL-174-TRO CL-174-T… 2 2 76 0 0
## 3 CL-375-TRO CL-375-T… 2 1 45 0 1
## 4 CL-436-TRO CL-436-T… 2 1 73 0 1
## 5 CL-288-TRO CL-288-T… 2 1 40 0 1
## 6 CL-177-TRO CL-177-T… 2 1 65 0 1
## 7 CL-138-TRO CL-138-T… 2 1 46 0 1
## 8 CL-244-TRO CL-244-T… 2 1 60 0 0
## 9 CL-229-TRO CL-229-T… 2 1 34 0 1
## 10 CL-333-TRO CL-333-T… 2 1 18 1 0
## # ℹ 100 more rows
## # ℹ 4 more variables: suppressedviralload <chr>, age_group <chr>,
## # .row_id_internal <dbl>, Randomized_Order <dbl>