Description Usage Arguments Value Examples
In non-tabular data, a certain field may take multiple values in a collection non-exclusively. To classify these elements into different cases, this function detects all possible cases and for each case all elements are examined whether to belong to that case.
1 | list.class(.data, ..., sorted = TRUE)
|
.data |
A |
... |
keys |
sorted |
|
a list of possible cases each of which contains elements belonging to the case non-exclusively.
1 2 3 4 5 6 7 8 9 10 11 12 13 | x <-
list(
p1=list(name='Ken',age=24,
interest=c('reading','music','movies'),
lang=list(r=2,csharp=4,python=3)),
p2=list(name='James',age=25,
interest=c('sports','music'),
lang=list(r=3,java=2,cpp=5)),
p3=list(name='Penny',age=24,
interest=c('movies','reading'),
lang=list(r=1,cpp=4,python=2)))
list.class(x,interest)
list.class(x,names(lang))
|
$movies
$movies$p1
$movies$p1$name
[1] "Ken"
$movies$p1$age
[1] 24
$movies$p1$interest
[1] "reading" "music" "movies"
$movies$p1$lang
$movies$p1$lang$r
[1] 2
$movies$p1$lang$csharp
[1] 4
$movies$p1$lang$python
[1] 3
$movies$p3
$movies$p3$name
[1] "Penny"
$movies$p3$age
[1] 24
$movies$p3$interest
[1] "movies" "reading"
$movies$p3$lang
$movies$p3$lang$r
[1] 1
$movies$p3$lang$cpp
[1] 4
$movies$p3$lang$python
[1] 2
$music
$music$p1
$music$p1$name
[1] "Ken"
$music$p1$age
[1] 24
$music$p1$interest
[1] "reading" "music" "movies"
$music$p1$lang
$music$p1$lang$r
[1] 2
$music$p1$lang$csharp
[1] 4
$music$p1$lang$python
[1] 3
$music$p2
$music$p2$name
[1] "James"
$music$p2$age
[1] 25
$music$p2$interest
[1] "sports" "music"
$music$p2$lang
$music$p2$lang$r
[1] 3
$music$p2$lang$java
[1] 2
$music$p2$lang$cpp
[1] 5
$reading
$reading$p1
$reading$p1$name
[1] "Ken"
$reading$p1$age
[1] 24
$reading$p1$interest
[1] "reading" "music" "movies"
$reading$p1$lang
$reading$p1$lang$r
[1] 2
$reading$p1$lang$csharp
[1] 4
$reading$p1$lang$python
[1] 3
$reading$p3
$reading$p3$name
[1] "Penny"
$reading$p3$age
[1] 24
$reading$p3$interest
[1] "movies" "reading"
$reading$p3$lang
$reading$p3$lang$r
[1] 1
$reading$p3$lang$cpp
[1] 4
$reading$p3$lang$python
[1] 2
$sports
$sports$p2
$sports$p2$name
[1] "James"
$sports$p2$age
[1] 25
$sports$p2$interest
[1] "sports" "music"
$sports$p2$lang
$sports$p2$lang$r
[1] 3
$sports$p2$lang$java
[1] 2
$sports$p2$lang$cpp
[1] 5
$cpp
$cpp$p2
$cpp$p2$name
[1] "James"
$cpp$p2$age
[1] 25
$cpp$p2$interest
[1] "sports" "music"
$cpp$p2$lang
$cpp$p2$lang$r
[1] 3
$cpp$p2$lang$java
[1] 2
$cpp$p2$lang$cpp
[1] 5
$cpp$p3
$cpp$p3$name
[1] "Penny"
$cpp$p3$age
[1] 24
$cpp$p3$interest
[1] "movies" "reading"
$cpp$p3$lang
$cpp$p3$lang$r
[1] 1
$cpp$p3$lang$cpp
[1] 4
$cpp$p3$lang$python
[1] 2
$csharp
$csharp$p1
$csharp$p1$name
[1] "Ken"
$csharp$p1$age
[1] 24
$csharp$p1$interest
[1] "reading" "music" "movies"
$csharp$p1$lang
$csharp$p1$lang$r
[1] 2
$csharp$p1$lang$csharp
[1] 4
$csharp$p1$lang$python
[1] 3
$java
$java$p2
$java$p2$name
[1] "James"
$java$p2$age
[1] 25
$java$p2$interest
[1] "sports" "music"
$java$p2$lang
$java$p2$lang$r
[1] 3
$java$p2$lang$java
[1] 2
$java$p2$lang$cpp
[1] 5
$python
$python$p1
$python$p1$name
[1] "Ken"
$python$p1$age
[1] 24
$python$p1$interest
[1] "reading" "music" "movies"
$python$p1$lang
$python$p1$lang$r
[1] 2
$python$p1$lang$csharp
[1] 4
$python$p1$lang$python
[1] 3
$python$p3
$python$p3$name
[1] "Penny"
$python$p3$age
[1] 24
$python$p3$interest
[1] "movies" "reading"
$python$p3$lang
$python$p3$lang$r
[1] 1
$python$p3$lang$cpp
[1] 4
$python$p3$lang$python
[1] 2
$r
$r$p1
$r$p1$name
[1] "Ken"
$r$p1$age
[1] 24
$r$p1$interest
[1] "reading" "music" "movies"
$r$p1$lang
$r$p1$lang$r
[1] 2
$r$p1$lang$csharp
[1] 4
$r$p1$lang$python
[1] 3
$r$p2
$r$p2$name
[1] "James"
$r$p2$age
[1] 25
$r$p2$interest
[1] "sports" "music"
$r$p2$lang
$r$p2$lang$r
[1] 3
$r$p2$lang$java
[1] 2
$r$p2$lang$cpp
[1] 5
$r$p3
$r$p3$name
[1] "Penny"
$r$p3$age
[1] 24
$r$p3$interest
[1] "movies" "reading"
$r$p3$lang
$r$p3$lang$r
[1] 1
$r$p3$lang$cpp
[1] 4
$r$p3$lang$python
[1] 2
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