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数组是可以在两个以上维度中存储数据的R数据对象。 例如 - 如果我们创建一个维度(2,3,4)的数组,则它创建4个矩形矩阵,每个矩阵具有2行和3列。 数组只能存储数据类型。 使用array()函数创建数组。 它使用向量作为输入,并使用dim参数中的值创建数组。
例以下示例创建一个由两个3x3矩阵组成的数组,每个矩阵具有3行和3列。 # Create two vectors of different lengths. vector1 <- c(5,9,3) vector2 <- c(10,11,12,13,14,15) # Take these vectors as input to the array. result <- array(c(vector1,vector2),dim = c(3,3,2)) print(result) 当我们执行上面的代码,它产生以下结果 - , , 1 [,1] [,2] [,3] [1,] 5 10 13 [2,] 9 11 14 [3,] 3 12 15 , , 2 [,1] [,2] [,3] [1,] 5 10 13 [2,] 9 11 14 [3,] 3 12 15 命名列和行我们可以使用dimnames参数给数组中的行,列和矩阵命名。 # Create two vectors of different lengths. 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") # 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) 当我们执行上面的代码,它产生以下结果 - , , Matrix1 COL1 COL2 COL3 ROW1 5 10 13 ROW2 9 11 14 ROW3 3 12 15 , , Matrix2 COL1 COL2 COL3 ROW1 5 10 13 ROW2 9 11 14 ROW3 3 12 15 访问数组元素# Create two vectors of different lengths. 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") # 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 the third row of the second matrix of the array. print(result[3,,2]) # Print the element in the 1st row and 3rd column of the 1st matrix. print(result[1,3,1]) # Print the 2nd Matrix. print(result[,,2]) 当我们执行上面的代码,它产生以下结果 - COL1 COL2 COL3 3 12 15 [1] 13 COL1 COL2 COL3 ROW1 5 10 13 ROW2 9 11 14 ROW3 3 12 15 操作数组元素由于数组由多维构成矩阵,所以对数组元素的操作通过访问矩阵的元素来执行。 # Create two vectors of different lengths. vector1 <- c(5,9,3) vector2 <- c(10,11,12,13,14,15) # Take these vectors as input to the array. array1 <- array(c(vector1,vector2),dim = c(3,3,2)) # Create two vectors of different lengths. vector3 <- c(9,1,0) vector4 <- c(6,0,11,3,14,1,2,6,9) array2 <- array(c(vector1,vector2),dim = c(3,3,2)) # create matrices from these arrays. matrix1 <- array1[,,2] matrix2 <- array2[,,2] # Add the matrices. result <- matrix1+matrix2 print(result) 当我们执行上面的代码,它产生以下结果 - [,1] [,2] [,3] [1,] 10 20 26 [2,] 18 22 28 [3,] 6 24 30 跨数组元素的计算我们可以使用apply()函数在数组中的元素上进行计算。 语法apply(x, margin, fun) 以下是所使用的参数的说明 -
例我们使用下面的apply()函数计算所有矩阵中数组行中元素的总和。 # Create two vectors of different lengths. vector1 <- c(5,9,3) vector2 <- c(10,11,12,13,14,15) # Take these vectors as input to the array. new.array <- array(c(vector1,vector2),dim = c(3,3,2)) print(new.array) # Use apply to calculate the sum of the rows across all the matrices. result <- apply(new.array, c(1), sum) print(result) 当我们执行上面的代码,它产生以下结果 - , , 1 [,1] [,2] [,3] [1,] 5 10 13 [2,] 9 11 14 [3,] 3 12 15 , , 2 [,1] [,2] [,3] [1,] 5 10 13 [2,] 9 11 14 [3,] 3 12 15 [1] 56 68 60 |
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