[1] 25262.027 41253.332 10767.568 95233.732 101260.017 40775.516
[7] 24072.130 4785.145 39129.521 29666.193 26830.297 64700.869
[13] 42768.180 94697.262 79013.471 103955.226 92798.465 41901.983
[19] 17439.569 41055.045 37544.201 25198.303 12928.490 36388.290
[25] 34962.862 80307.929 8854.525 50183.194 28846.165 35735.369
[31] 115908.187 31765.368 58958.713 5561.862 28349.410 15418.314
[37] 9218.648 1197.666 94407.873 19552.500Loops size estimates vectorized (solution)
Exercise
Output solution
Code solution for Use and Modify with Apply
Part 1
Part 2
[1] 26039.686 42825.603 10800.224 98273.049 104257.481 41822.386
[7] 24840.644 4899.022 39915.948 30937.922 26354.908 66384.865
[13] 43837.944 97141.451 80553.856 105556.405 97374.660 42760.136
[19] 18749.274 42109.012 40674.182 26003.425 13229.824 37472.789
[25] 34684.033 80187.272 9460.977 51630.571 29253.772 36399.306
[31] 117511.962 33384.288 58581.226 5462.316 28637.745 15864.172
[37] 9284.810 1218.755 98522.609 19534.524Part 3
Attaching package: 'dplyr'The following objects are masked from 'package:stats':
filter, lagThe following objects are masked from 'package:base':
intersect, setdiff, setequal, union theropoda_lengths a_values b_values masses
1 17.801363 0.759 3.627 26039.686
2 20.376445 0.751 3.633 42825.603
3 14.074349 0.740 3.626 10800.224
4 25.657824 0.746 3.633 98273.049
5 26.095201 0.759 3.627 104257.481
6 20.311154 0.751 3.629 41822.386
7 17.566324 0.749 3.632 24840.644
8 11.256343 0.751 3.628 4899.022
9 20.081903 0.738 3.633 39915.948
10 18.607163 0.768 3.627 30937.922
11 18.099189 0.736 3.621 26354.908
12 23.065969 0.749 3.630 66384.865
13 20.579885 0.746 3.631 43837.944
14 25.617925 0.744 3.632 97141.451
15 24.371433 0.749 3.628 80553.856
16 26.284725 0.751 3.626 105556.405
17 25.475378 0.744 3.639 97374.660
18 20.464209 0.754 3.626 42760.136
19 16.073826 0.774 3.635 18749.274
20 20.349417 0.751 3.629 42109.012
21 19.854399 0.763 3.642 40674.182
22 17.788981 0.749 3.632 26003.425
23 14.801642 0.741 3.633 13229.824
24 19.684091 0.754 3.629 37472.789
25 19.468589 0.746 3.620 34684.033
26 24.480778 0.755 3.619 80187.272
27 13.335996 0.764 3.638 9460.977
28 21.506599 0.758 3.627 51630.571
29 18.464030 0.760 3.621 29253.772
30 19.586153 0.748 3.628 36399.306
31 27.084752 0.745 3.628 117511.962
32 18.960937 0.756 3.635 33384.288
33 22.482917 0.739 3.624 58581.226
34 11.732572 0.733 3.621 5462.316
35 18.375885 0.757 3.621 28637.745
36 15.537505 0.747 3.632 15864.172
37 13.484875 0.741 3.627 9284.810
38 7.685612 0.752 3.624 1218.755
39 25.596335 0.752 3.634 98522.609
40 16.588285 0.748 3.621 19534.524