NULL

#R_Experts

 a= c(2, 3, 5) 

 b = c("aa", "bb", "cc", "dd", "ee") 

 c = c(TRUE, FALSE, TRUE, FALSE, FALSE) 

x = list(vec1=a,vec2= b,vec3= c,Jenabkhan= 3) 

x$vec1

x$vec2

x$vec3

x$Jenabkhan

Time demand
1    1    8.3
2    2   10.3
3    3   19.0
4    4   16.0
5    5   15.6
6    7   19.8


>class(BOD)

[1] "data.frame"


>dim(BOD) #get dimension

[1] 6 2


Set dimension of a matrix:

>x <- rep(1:20)
>x

 [1]  1  2  3  4  5  6  7  8  9 10


Set dimension to 2 × 5:
>dim(x) <- c(2,5)
>x

     [,1] [,2] [,3] [,4] [,5]
[1,]    1    3    5    7    9
[2,]    2    4    6    8   10

#R_Experts

vector1 <- c(5,9,3)
vector2 <- c(10,11,12,13,14,15)
column.names <- c("COL1","COL2","COL3")
row.names <- c("ROW1","ROW2","ROW3")
matrix.names <- c("Matrix1","Matrix2")

#R_Experts:#Take these vectors as input to the array.
result <- array(c(vector1,vector2),dim = c(3,3,2),dimnames = list(row.names,column.names,
   matrix.names))
print(result)

#R_Experts

data()

 Sys.Date() 

Sys.time()

 R commander (R cmdr )   

install.packages("reticulate")

#Python
x = np.array([10,20,14,17,18])

#R
y<- array(1:4,c(2,2))
x <- numpy$array(y)

 R commander (R cmdr )