melt.array: Melt an array.
In reshape2: Flexibly Reshape Data: A Reboot of the Reshape Package
Description
Usage
Arguments
See Also
Examples
Description
This code is conceptually similar to as.data.frame.table
Usage
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
## S3 method for class 'array'
melt(
data,
varnames = names(dimnames(data)),
...,
na.rm = FALSE,
as.is = FALSE,
value.name = "value"
)
## S3 method for class 'table'
melt(
data,
varnames = names(dimnames(data)),
...,
na.rm = FALSE,
as.is = FALSE,
value.name = "value"
)
## S3 method for class 'matrix'
melt(
data,
varnames = names(dimnames(data)),
...,
na.rm = FALSE,
as.is = FALSE,
value.name = "value"
)
Arguments
data
array to melt
varnames
variable names to use in molten data.frame
...
further arguments passed to or from other methods.
na.rm
Should NA values be removed from the data set? This will
convert explicit missings to implicit missings.
as.is
if FALSE, the default, dimnames will be converted
using type.convert. If TRUE, they will be left
as strings.
value.name
name of variable used to store values
See Also
Other melt methods:
melt.data.frame(),
melt.default(),
melt.list()
Examples
1
2
3
4
5
6
7
8
9
Example output
Var1 Var2 Var3 value
1 1 1 1 1
2 2 1 1 2
3 1 2 1 3
4 2 2 1 4
5 1 3 1 5
6 2 3 1 6
7 1 1 2 7
8 2 1 2 8
9 1 2 2 9
10 2 2 2 10
11 1 3 2 11
12 2 3 2 12
13 1 1 3 13
14 2 1 3 14
15 1 2 3 15
16 2 2 3 16
17 1 3 3 17
18 2 3 3 18
19 1 1 4 19
20 2 1 4 20
21 1 2 4 21
22 2 2 4 22
23 1 3 4 23
24 2 3 4 NA
Var1 Var2 Var3 value
1 1 1 1 1
2 2 1 1 2
3 1 2 1 3
4 2 2 1 4
5 1 3 1 5
6 2 3 1 6
7 1 1 2 7
8 2 1 2 8
9 1 2 2 9
10 2 2 2 10
11 1 3 2 11
12 2 3 2 12
13 1 1 3 13
14 2 1 3 14
15 1 2 3 15
16 2 2 3 16
17 1 3 3 17
18 2 3 3 18
19 1 1 4 19
20 2 1 4 20
21 1 2 4 21
22 2 2 4 22
23 1 3 4 23
X Y Z value
1 1 1 1 1
2 2 1 1 2
3 1 2 1 3
4 2 2 1 4
5 1 3 1 5
6 2 3 1 6
7 1 1 2 7
8 2 1 2 8
9 1 2 2 9
10 2 2 2 10
11 1 3 2 11
12 2 3 2 12
13 1 1 3 13
14 2 1 3 14
15 1 2 3 15
16 2 2 3 16
17 1 3 3 17
18 2 3 3 18
19 1 1 4 19
20 2 1 4 20
21 1 2 4 21
22 2 2 4 22
23 1 3 4 23
24 2 3 4 NA
Var1 Var2 Var3 value
1 A A A 1
2 B A A 2
3 A B A 3
4 B B A 4
5 A C A 5
6 B C A 6
7 A A B 7
8 B A B 8
9 A B B 9
10 B B B 10
11 A C B 11
12 B C B 12
13 A A C 13
14 B A C 14
15 A B C 15
16 B B C 16
17 A C C 17
18 B C C 18
19 A A D 19
20 B A D 20
21 A B D 21
22 B B D 22
23 A C D 23
24 B C D NA
X Y Z value
1 A A A 1
2 B A A 2
3 A B A 3
4 B B A 4
5 A C A 5
6 B C A 6
7 A A B 7
8 B A B 8
9 A B B 9
10 B B B 10
11 A C B 11
12 B C B 12
13 A A C 13
14 B A C 14
15 A B C 15
16 B B C 16
17 A C C 17
18 B C C 18
19 A A D 19
20 B A D 20
21 A B D 21
22 B B D 22
23 A C D 23
24 B C D NA
Var1 Var2 Var3 value
1 1 A A 1
2 2 A A 2
3 1 B A 3
4 2 B A 4
5 1 C A 5
6 2 C A 6
7 1 A B 7
8 2 A B 8
9 1 B B 9
10 2 B B 10
11 1 C B 11
12 2 C B 12
13 1 A C 13
14 2 A C 14
15 1 B C 15
16 2 B C 16
17 1 C C 17
18 2 C C 18
19 1 A D 19
20 2 A D 20
21 1 B D 21
22 2 B D 22
23 1 C D 23
24 2 C D NA
reshape2 documentation built on April 14, 2020, 5:26 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments See Also Examples
Description
This code is conceptually similar to as.data.frame.table
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | ## S3 method for class 'array'
melt(
data,
varnames = names(dimnames(data)),
...,
na.rm = FALSE,
as.is = FALSE,
value.name = "value"
)
## S3 method for class 'table'
melt(
data,
varnames = names(dimnames(data)),
...,
na.rm = FALSE,
as.is = FALSE,
value.name = "value"
)
## S3 method for class 'matrix'
melt(
data,
varnames = names(dimnames(data)),
...,
na.rm = FALSE,
as.is = FALSE,
value.name = "value"
)
|
Arguments
data |
array to melt |
varnames |
variable names to use in molten data.frame |
... |
further arguments passed to or from other methods. |
na.rm |
Should NA values be removed from the data set? This will convert explicit missings to implicit missings. |
as.is |
if |
value.name |
name of variable used to store values |
See Also
Other melt methods:
melt.data.frame(),
melt.default(),
melt.list()
Examples
1 2 3 4 5 6 7 8 9 |
Example output
Var1 Var2 Var3 value
1 1 1 1 1
2 2 1 1 2
3 1 2 1 3
4 2 2 1 4
5 1 3 1 5
6 2 3 1 6
7 1 1 2 7
8 2 1 2 8
9 1 2 2 9
10 2 2 2 10
11 1 3 2 11
12 2 3 2 12
13 1 1 3 13
14 2 1 3 14
15 1 2 3 15
16 2 2 3 16
17 1 3 3 17
18 2 3 3 18
19 1 1 4 19
20 2 1 4 20
21 1 2 4 21
22 2 2 4 22
23 1 3 4 23
24 2 3 4 NA
Var1 Var2 Var3 value
1 1 1 1 1
2 2 1 1 2
3 1 2 1 3
4 2 2 1 4
5 1 3 1 5
6 2 3 1 6
7 1 1 2 7
8 2 1 2 8
9 1 2 2 9
10 2 2 2 10
11 1 3 2 11
12 2 3 2 12
13 1 1 3 13
14 2 1 3 14
15 1 2 3 15
16 2 2 3 16
17 1 3 3 17
18 2 3 3 18
19 1 1 4 19
20 2 1 4 20
21 1 2 4 21
22 2 2 4 22
23 1 3 4 23
X Y Z value
1 1 1 1 1
2 2 1 1 2
3 1 2 1 3
4 2 2 1 4
5 1 3 1 5
6 2 3 1 6
7 1 1 2 7
8 2 1 2 8
9 1 2 2 9
10 2 2 2 10
11 1 3 2 11
12 2 3 2 12
13 1 1 3 13
14 2 1 3 14
15 1 2 3 15
16 2 2 3 16
17 1 3 3 17
18 2 3 3 18
19 1 1 4 19
20 2 1 4 20
21 1 2 4 21
22 2 2 4 22
23 1 3 4 23
24 2 3 4 NA
Var1 Var2 Var3 value
1 A A A 1
2 B A A 2
3 A B A 3
4 B B A 4
5 A C A 5
6 B C A 6
7 A A B 7
8 B A B 8
9 A B B 9
10 B B B 10
11 A C B 11
12 B C B 12
13 A A C 13
14 B A C 14
15 A B C 15
16 B B C 16
17 A C C 17
18 B C C 18
19 A A D 19
20 B A D 20
21 A B D 21
22 B B D 22
23 A C D 23
24 B C D NA
X Y Z value
1 A A A 1
2 B A A 2
3 A B A 3
4 B B A 4
5 A C A 5
6 B C A 6
7 A A B 7
8 B A B 8
9 A B B 9
10 B B B 10
11 A C B 11
12 B C B 12
13 A A C 13
14 B A C 14
15 A B C 15
16 B B C 16
17 A C C 17
18 B C C 18
19 A A D 19
20 B A D 20
21 A B D 21
22 B B D 22
23 A C D 23
24 B C D NA
Var1 Var2 Var3 value
1 1 A A 1
2 2 A A 2
3 1 B A 3
4 2 B A 4
5 1 C A 5
6 2 C A 6
7 1 A B 7
8 2 A B 8
9 1 B B 9
10 2 B B 10
11 1 C B 11
12 2 C B 12
13 1 A C 13
14 2 A C 14
15 1 B C 15
16 2 B C 16
17 1 C C 17
18 2 C C 18
19 1 A D 19
20 2 A D 20
21 1 B D 21
22 2 B D 22
23 1 C D 23
24 2 C D NA
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.