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 scdf
subset(x, subset, select, cases, ...)Arguments
- x
An scdf object.
- subset
Logical expression indicating rows to keep: missing values are taken as false.
- select
Expression, indicating columns to select from an scdf.
- cases
Expression, indicating cases to keep from an scdf.
- ...
not implemented
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