This function is mainly used to filter rows by a logical expression. It has also arguments to filter variables and cases.
Usage
# S3 method for class 'scdf'
subset(x, subset, select, cases, ...)Examples
exampleAB |>
subset((values < 60 & phase == "A") | (values >= 60 & phase == "B"))
#> #A single-case data frame with three cases
#>
#> Johanna: values mt phase │ Karolina: values mt phase │ Anja: values mt phase │
#> 54 1 A │ 41 1 A │ 55 1 A │
#> 53 2 A │ 59 2 A │ 58 2 A │
#> 56 3 A │ 56 3 A │ 53 3 A │
#> 58 4 A │ 51 4 A │ 50 4 A │
#> 52 5 A │ 52 5 A │ 52 5 A │
#> 61 6 B │ 67 8 B │ 68 7 B │
#> 62 7 B │ 75 9 B │ 68 8 B │
#> 71 8 B │ 66 10 B │ 81 9 B │
#> 66 9 B │ 69 11 B │ 67 10 B │
#> 64 10 B │ 68 12 B │ 78 11 B │
#> 78 11 B │ 73 13 B │ 73 12 B │
#> 70 12 B │ 77 14 B │ 72 13 B │
#> 74 13 B │ 79 15 B │ 78 14 B │
#> 82 14 B │ 86 16 B │ 81 15 B │
#> 77 15 B │ 82 17 B │ 78 16 B │
#> # ... up to five more rows
subset(exampleAB_add, select = c(-cigarrets, -depression))
#> #A single-case data frame with one case
#>
#> Rolf: day wellbeing phase
#> 1 46 Base
#> 2 49 Base
#> 3 49 Base
#> 4 49 Base
#> 5 50 Base
#> 6 47 Base
#> 7 45 Base
#> 8 59 Base
#> 9 58 Base
#> 10 59 Base
#> 11 59 Base
#> 12 43 Base
#> 13 46 Base
#> 14 52 Base
#> 15 55 Base
#> # ... up to 25 more rows
subset(exampleAB, cases = c(Karolina, Johanna))
#> #A single-case data frame with two cases
#>
#> Karolina: values mt phase │ Johanna: values mt phase │
#> 41 1 A │ 54 1 A │
#> 59 2 A │ 53 2 A │
#> 56 3 A │ 56 3 A │
#> 51 4 A │ 58 4 A │
#> 52 5 A │ 52 5 A │
#> 57 6 B │ 61 6 B │
#> 56 7 B │ 62 7 B │
#> 67 8 B │ 71 8 B │
#> 75 9 B │ 66 9 B │
#> 66 10 B │ 64 10 B │
#> 69 11 B │ 78 11 B │
#> 68 12 B │ 70 12 B │
#> 73 13 B │ 74 13 B │
#> 77 14 B │ 82 14 B │
#> 79 15 B │ 77 15 B │
#> # ... up to five more rows
subset(exampleA1B1A2B2, phase %in% c("A1", "B2"), cases = Pawel:Moritz)
#> #A single-case data frame with two cases
#>
#> Pawel: values mt phase │ Moritz: values mt phase │
#> 10 1 A1 │ 15 1 A1 │
#> 19 2 A1 │ 11 2 A1 │
#> 11 3 A1 │ 12 3 A1 │
#> 6 4 A1 │ 10 4 A1 │
#> 16 5 A1 │ 12 5 A1 │
#> 16 6 A1 │ 18 6 A1 │
#> 17 7 A1 │ 16 7 A1 │
#> 18 8 A1 │ 18 8 A1 │
#> 12 9 A1 │ 12 9 A1 │
#> 12 10 A1 │ 12 10 A1 │
#> 34 31 B2 │ 11 11 A1 │
#> 35 32 B2 │ 10 12 A1 │
#> 28 33 B2 │ 13 13 A1 │
#> 30 34 B2 │ 9 14 A1 │
#> 22 35 B2 │ 14 15 A1 │
#> # ... up to 10 more rows