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[1] 25

"X1" "Y2" "X3" "Y4" "X5" "Y6" "X7" "Y8" "X9" "Y10"

> 1:10

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

> X1*576

[,1]            &nbsp ;     [,2]                 [,3] [,4] [,5]

[1,] 4.682927

      23.41463

0.00000 60.87805 79.60976 [2,] 9.365854 0.00000 46.82927 65.56098 84.29268 [3,] 0.000000 32.78049 51.51220 70.24390 88.97561 [4,] 18.731707 37.46341 56.19512 74.92683 93.65854

> typeof(1L)

[1] "integer"

> typeof(letters)

[1] "character"

> x*g+4

[1] 59 64 69 74 79 84 89 94 99 104

> mod

Call: lm(formula = mpg ~ wt, data = mtcars) Coefficients: (Intercept) wt 37.285 -5.344

> S

[1] 1.3

> mkd [1] Hello

> plot.new()

> integer(0)

 integer(0)

> p

[1] 13

> x

[1] 11 12 13 14 15 16 17 18 19 20 > X1/8 [,1] [,2] [,3] [,4] [,5] [1,] 0.001016260 0.005081301 0.00000000 0.01321138 0.01727642 [2,] 0.002032520 0.000000000 0.01016260 0.01422764 0.01829268 [3,] 0.000000000 0.007113821 0.01117886 0.01524390 0.01930894 [4,] 0.004065041 0.008130081 0.01219512 0.01626016 0.02032520

< enrole

> new_df

       X        Y

  1 101 51.0

  2 102 53.5

3 103 56.0 4 104 58.5 5 105 61.0 6 106 63.5 7 107 66.0 8 108 68.5 9 109 71.0 10 110 73.5

> 6:-6

[1] 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6

 > length(alpha) <- 3

 alpha+1

[1] NA NA NA

> alpha

[1] NA NA NA

> alpha (alpha) <- 2

> alpha

[1] NA NA

 > 10.5*X1

[,1] [,2] [,3] [,4] [,5]

[1,] 0.08536585 0.4268293 0.0000000 1.109756 1.451220 [2,] 0.17073171 0.0000000 0.8536585 1.195122 1.536585 [3,] 0.00000000 0.5975610 0.9390244 1.280488 1.621951 [4,] 0.34146341 0.6829268 1.0243902 1.365854 1.707317

> attr(z, "dim")

NULL

> new_array

[1] 100.000 107.505 115.010 122.515 130.020 137.525 145.030 152.535 160.040 [10] 167.545 175.050 182.555 190.060 197.565 205.070 212.575 220.080 227.585 [19] 235.090 242.595 250.100 257.605 265.110 272.615 280.120 287.625 295.130 [28] 302.635 310.140 317.645 325.150 332.655 340.160 347.665 355.170 362.675 [37] 370.180 377.685 385.190 392.695 400.200 407.705 415.210 422.715 430.220 [46] 437.725 445.230 452.735 460.240 467.745

> matrix ()

[,1]

[1,] NA

> P

P [,1] [,2] [1,] 1 3 [2,] 2 2 [3,] 3 1

> T

T [,1] [,2] [,3] [,4] [,5] [1,] 1 5 9 13 17 [2,] 2 6 10 14 18 [3,] 3 7 11 15 19 [4,] 4 8 12 16 20 >6:-6

[1] 6 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6

> matrix ()

[,1]

[1,] NA

> labs

[1] "X1" "Y2" "X3" "Y4" "X5" "Y6" "X7" "Y8" "X9" "Y10"

> X1*6 [,1] [,2] [,3] [,4] [,5] [1,] 0.04878049 0.2439024 0.0000000 0.6341463 0.8292683 [2,] 0.09756098 0.0000000 0.4878049 0.6829268 0.8780488 [3,] 0.00000000 0.3414634 0.5365854 0.7317073 0.9268293 [4,] 0.19512195 0.3902439 0.5853659 0.7804878 0.9756098

> new_df

X Y

1 101 51.0 2 102 53.5 3 103 56.0 4 104 58.5 5 105 61.0 6 106 63.5 7 107 66.0 8 108 68.5 9 109 71.0 10 110 73.5 > 1:26 [1] 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] 26

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