We provide effective and economically affordable training courses for R and Python, Click here for more details and course registration !
When it is needed to store many elements of same type or mode into one data object in R, you can use array. Actually, vector and matrix are special types of array with one and two dimensions respectively.
Function array() can be used when a new array is being created in R. General form of this function is: NewArray <- array(input, dimensions, dimnames),
Where
input – usually a vector representing the data to be taken as elements of array,
dimensions – a numeric vector providing the dimension/shape information
dimnames – labels for axis for each dimension in the array .
In the following example, an array of dimension 3 and shape 3/4/5 is created.
> d1 <- c("N1", "N2","N3")
> d2 <- c("M1", "M2", "M3", "M4")
> d3 <- c("L1", "L2", "L3", "L4","L5")
> #create an array of dimension(3*4*5)
> A <- array(1:60, c(3, 4, 5), dimnames = list(d1, d2, d3))
#when printed, 5 matrix of 3/4 shapes are returned.
> A
, , L1
M1 M2 M3 M4
N1 1 4 7 10
N2 2 5 8 11
N3 3 6 9 12
, , L2
M1 M2 M3 M4
N1 13 16 19 22
N2 14 17 20 23
N3 15 18 21 24
, , L3
M1 M2 M3 M4
N1 25 28 31 34
N2 26 29 32 35
N3 27 30 33 36
, , L4
M1 M2 M3 M4
N1 37 40 43 46
N2 38 41 44 47
N3 39 42 45 48
, , L5
M1 M2 M3 M4
N1 49 52 55 58
N2 50 53 56 59
N3 51 54 57 60
2. Indexing an array
Same as for vector and matrix, an array can be indexed using the combination of bracket symbol [ ] with comma, colon and usually c(), along its every axis.
Following code block presents different examples of indexing an array in terms of indexing shapes for each axis.
#first element of first axis, all elements for the other axis
#a matrix returned
> A[1,,]
L1 L2 L3 L4 L5
M1 1 13 25 37 49
M2 4 16 28 40 52
M3 7 19 31 43 55
M4 10 22 34 46 58
#second element of second axis, all elements for the other axis
#a matrix returned
> A[,2,]
L1 L2 L3 L4 L5
N1 4 16 28 40 52
N2 5 17 29 41 53
N3 6 18 30 42 54
#first element of first axis, third element of second axis,
#all elements for third axis
#a vector returned
> A[1,3,]
L1 L2 L3 L4 L5
7 19 31 43 55
#first element of first axis, second element of second axis,
#third element of third axis
#a scalar returned
> A[1,2,3]
[1] 28
#first and second element of first axis,
#all elements for other axis
#5 matrix of shape 2/4 returned
> A[1:2,,]
, , L1
M1 M2 M3 M4
N1 1 4 7 10
N2 2 5 8 11
, , L2
M1 M2 M3 M4
N1 13 16 19 22
N2 14 17 20 23
, , L3
M1 M2 M3 M4
N1 25 28 31 34
N2 26 29 32 35
, , L4
M1 M2 M3 M4
N1 37 40 43 46
N2 38 41 44 47
, , L5
M1 M2 M3 M4
N1 49 52 55 58
N2 50 53 56 59
For more illustrative understanding of array in R, you can also watch videos on our YouTube channel:
Click here to download Python Course Source Files !
For online Python training registration, click here ! Pandas provides flexible ways of generating data…
For online Python training registration, click here ! Data frame is the tabular data object…
Click her for course registration ! When a data frame in Python is created via…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental…