R/tte-sim.R
calc_study_duration.Rd
Calculate the Analysis Time Based on a Target Number of Events and/or Target Follow-up Time
calc_study_duration(
study_time,
observed_time,
event_indicator,
target_events = NULL,
target_follow_up = NULL
)
Vector of study times (accrual time + observed time)
Vector of observed times (event time or censoring time)
Vector of boolean values (TRUE/FALSE or 1/0) indicating if the observed time value is an event or censoring time
Target number of events, where the analysis time is
determined once this number of events is reached. Default is NULL
, in
which case target_follow_up
must be specified.
Target follow-up for each participant, where the
analysis time is determined once each participant in the risk set is
followed up for this amount of time (i.e., minimum follow-up time). Default
is NULL
, in which case target_events
must be specified.
Time of analysis
This function calculates the analysis time for a study with a
time-to-event endpoint for which the target number of events
(target_events
) and/or target follow-up time (target_follow_up
) are
specified. If only target_events
is specified, the analysis will occur
at the time when the target number of events has been reached. If only
target_follow_up
is specified, the analysis will occur once the
last-enrolled participant who is still in the risk set has been followed up
for this amount of time. If both target_events
and target_follow_up
are
specified, the analysis time will be based on whichever occurs first.
library(dplyr)
# Determining analysis time by reaching a target number of events
ex_tte_df |> mutate(
analysis_time = calc_study_duration(study_time = total_time, observed_time = y,
event_indicator = event, target_events = 30)
)
#> subjid y enr_time total_time event cov1 cov2 cov3 cov4
#> 1 1 4.94132575 0.914830838 5.856157 0 62 1 0 0
#> 2 2 13.48784696 0.818347654 34.120433 0 68 1 0 0
#> 3 3 4.08557603 1.234845352 5.320421 1 54 1 0 1
#> 4 4 12.54853421 1.757660399 18.259145 0 37 1 0 0
#> 5 5 11.60144136 1.519444841 13.120886 1 64 0 1 1
#> 6 6 13.06419095 1.242003662 17.094510 0 58 0 1 1
#> 7 7 9.81314580 1.058963733 10.872110 1 67 0 0 1
#> 8 8 8.32546909 1.739833746 10.065303 1 57 0 0 0
#> 9 9 12.22300778 0.005328632 12.228336 1 73 0 0 0
#> 10 10 2.18070722 1.209103289 3.389811 1 65 0 0 0
#> 11 11 1.87453932 0.938280275 2.812820 1 71 0 1 1
#> 12 12 13.03537379 1.270820822 28.926599 0 55 0 0 0
#> 13 13 13.58968582 0.120243722 13.709930 1 63 0 1 0
#> 14 14 3.85157607 0.879423183 4.730999 1 68 0 0 0
#> 15 15 1.23871879 0.028882144 1.267601 1 64 0 1 1
#> 16 16 8.02534813 0.225453192 8.250801 1 82 1 0 0
#> 17 17 4.14391880 0.848946745 4.992866 1 45 0 0 0
#> 18 18 11.65283579 1.893318857 13.546155 0 73 0 0 0
#> 19 19 4.60972545 1.143453675 5.753179 1 65 0 0 1
#> 20 20 6.97459156 0.552640099 7.527232 1 74 0 1 1
#> 21 21 12.78742955 1.518765057 16.883155 0 64 1 0 0
#> 22 22 3.40359707 1.135579805 4.539177 1 38 0 1 0
#> 23 23 10.70343388 1.801794218 12.505228 1 69 1 0 1
#> 24 24 2.57956045 1.801857366 4.381418 1 63 0 0 0
#> 25 25 8.97807945 1.667375555 10.645455 1 55 0 0 1
#> 26 26 1.07397237 0.979580768 2.053553 1 58 0 1 0
#> 27 27 13.45647204 0.849722569 39.847723 0 66 1 1 0
#> 28 28 10.56432229 0.530742681 11.095065 1 90 0 0 1
#> 29 29 13.60629872 0.699895892 14.749382 0 67 0 0 1
#> 30 30 9.66509057 1.287793164 10.952884 1 55 1 0 0
#> 31 31 12.99654787 1.309646739 21.987621 0 84 0 1 0
#> 32 32 0.64072655 0.803063575 1.443790 1 61 1 0 0
#> 33 33 12.41001105 1.896183561 38.443438 0 57 0 0 1
#> 34 34 1.52626737 1.675651089 3.201918 0 53 0 1 1
#> 35 35 5.86099717 0.856978191 6.717975 1 58 0 0 1
#> 36 36 12.54889557 1.757299039 35.511939 0 84 0 0 0
#> 37 37 6.62993839 0.182591691 6.812530 0 74 0 1 0
#> 38 38 9.63003796 0.658219346 10.288257 1 72 1 0 0
#> 39 39 10.85368481 0.882857819 11.736543 1 66 0 1 1
#> 40 40 8.72428218 1.356662716 10.080945 1 68 1 1 1
#> 41 41 12.49996325 1.806231361 33.485484 0 71 0 0 1
#> 42 42 1.80517492 0.790120253 2.595295 1 67 0 0 1
#> 43 43 1.11816335 0.322014023 1.440177 1 67 1 0 0
#> 44 44 9.64377430 1.638116490 11.281891 1 75 1 0 1
#> 45 45 3.69218383 1.943357178 5.635541 1 63 0 0 0
#> 46 46 10.17686106 1.896202200 12.073063 1 68 1 1 0
#> 47 47 12.78212492 1.524069688 16.497252 0 56 1 0 0
#> 48 48 13.32399282 0.982201790 23.498352 0 81 0 0 0
#> 49 49 2.35230418 0.775603405 3.127908 1 79 1 1 1
#> 50 50 11.79858863 1.343483454 13.142072 1 47 0 0 1
#> 51 51 13.10875140 1.197443212 14.972792 0 63 0 0 0
#> 52 52 13.74045847 0.565736139 35.274691 0 70 1 1 0
#> 53 53 9.08213968 1.864018058 10.946158 1 70 0 0 0
#> 54 54 9.89000393 0.615678150 10.505682 1 73 0 1 0
#> 55 55 13.74927445 0.556920157 16.984721 0 61 1 0 1
#> 56 56 11.57290297 0.207753573 11.780657 1 53 0 1 0
#> 57 57 0.82052430 0.859835137 1.680359 1 68 0 0 1
#> 58 58 13.78174289 0.524451723 14.406547 0 50 1 1 0
#> 59 59 6.14890044 1.806120872 7.955021 1 71 0 0 1
#> 60 60 6.51968350 1.235754918 7.755438 1 72 0 0 0
#> 61 61 12.46898554 1.837209076 18.695948 0 46 0 0 1
#> 62 62 13.05387397 1.252320643 15.624370 0 74 0 0 0
#> 63 63 8.08749313 1.101818035 9.189311 1 63 0 1 1
#> 64 64 7.78842293 1.889389239 9.677812 0 58 0 0 1
#> 65 65 2.25040964 1.499576018 3.749986 1 69 0 1 0
#> 66 66 12.69776464 1.608429969 17.494943 0 78 1 1 0
#> 67 67 9.16383335 1.168298671 10.332132 1 81 1 0 1
#> 68 68 3.36597674 1.300473365 4.666450 1 53 0 1 0
#> 69 69 4.92655148 1.896022630 6.822574 1 61 0 1 0
#> 70 70 8.50123185 1.560888817 10.062121 1 66 0 1 0
#> 71 71 2.09644996 1.193078713 3.289529 1 66 0 1 0
#> 72 72 3.67824483 1.937894981 5.616140 1 61 1 1 1
#> 73 73 14.00702626 0.299168351 20.371623 0 42 0 1 0
#> 74 74 12.81575901 1.490435606 20.256197 0 62 1 0 1
#> 75 75 13.57336144 0.732833170 14.483309 0 53 1 1 0
#> 76 76 11.10688793 1.886916388 12.993804 1 65 0 0 1
#> 77 77 13.65067103 0.655523577 18.081300 0 57 0 0 1
#> 78 78 12.71901840 1.587176209 15.183450 0 64 1 1 0
#> 79 79 4.15625220 1.393965260 5.550217 1 58 1 1 1
#> 80 80 13.28628838 1.019906234 23.154971 0 61 0 1 0
#> 81 81 12.96133651 1.344858098 36.578636 0 61 1 0 1
#> 82 82 12.74166548 1.564529136 16.565988 0 78 1 0 0
#> 83 83 13.71994020 0.586254409 15.912818 0 72 0 0 0
#> 84 84 9.35946924 0.375226433 9.734696 1 63 0 0 0
#> 85 85 3.01751638 1.844514892 4.862031 1 53 0 0 1
#> 86 86 13.01897227 1.287222342 23.352188 0 75 1 1 0
#> 87 87 8.62617477 1.341378423 9.967553 1 51 0 0 1
#> 88 88 12.86706587 1.439128740 21.357161 0 53 0 0 1
#> 89 89 12.87804488 1.428149728 16.888720 0 57 1 0 1
#> 90 90 11.01227336 1.535467605 12.547741 1 55 1 1 1
#> 91 91 6.08868565 1.881745142 7.970431 1 56 0 1 1
#> 92 92 13.04343279 1.262761817 18.356970 0 78 0 0 0
#> 93 93 6.12439409 1.053863459 7.178258 1 64 1 1 1
#> 94 94 12.96875082 1.337443796 14.688302 0 58 1 0 1
#> 95 95 7.74485260 1.011529981 8.756383 1 72 0 1 0
#> 96 96 3.78752871 1.476114000 5.263643 1 67 0 1 0
#> 97 97 9.29108586 0.510322453 9.801408 1 53 0 1 1
#> 98 98 13.52633582 0.779858791 22.261231 0 59 0 0 1
#> 99 99 10.82174912 1.258490415 12.080240 1 70 0 1 0
#> 100 100 12.37330713 1.932887477 64.793189 0 85 0 0 1
#> 101 101 12.54265890 1.763535714 21.988571 0 81 1 1 0
#> 102 102 0.32258255 1.975701769 2.298284 1 73 1 0 0
#> 103 103 12.27606151 1.458822752 13.734884 1 65 1 0 1
#> 104 104 7.43379836 1.242947810 8.676746 1 48 0 1 1
#> 105 105 4.10562201 1.628172625 5.733795 1 58 1 1 0
#> 106 106 13.02918631 1.277008304 16.655844 0 63 0 0 1
#> 107 107 1.20065513 0.082068380 1.282724 0 70 0 1 1
#> 108 108 12.44408288 1.862111733 16.601945 0 66 1 1 0
#> 109 109 0.87432668 0.316807468 1.191134 1 66 1 0 1
#> 110 110 12.73957392 1.566620693 33.263981 0 83 0 0 1
#> 111 111 4.22494864 1.517477012 5.742426 1 69 0 0 1
#> 112 112 12.59449656 1.711698053 19.436503 0 62 0 1 1
#> 113 113 13.15270437 1.153490246 19.173838 0 61 0 1 1
#> 114 114 3.95788320 1.799326662 5.757210 1 66 0 1 1
#> 115 115 6.00577017 1.786235661 7.792006 1 57 0 0 1
#> 116 116 12.42536031 1.880834302 14.607246 0 79 1 0 1
#> 117 117 8.14734538 1.692034146 9.839380 1 62 0 0 1
#> 118 118 9.64790719 1.520082211 11.167989 1 60 0 0 1
#> 119 119 2.01433411 1.060036130 3.074370 1 56 1 1 0
#> 120 120 12.57623427 0.082493735 12.658728 1 74 0 1 0
#> 121 121 12.49467829 1.811516325 31.410834 0 52 1 1 1
#> 122 122 12.96434451 1.341850099 19.787382 0 60 0 1 1
#> 123 123 5.45453170 1.417705139 6.872237 1 68 1 1 1
#> 124 124 2.50525420 0.267581866 2.772836 1 64 0 0 0
#> 125 125 10.79575829 1.966477632 12.762236 1 68 0 0 0
#> 126 126 2.31264350 1.852535335 4.165179 1 52 0 1 0
#> 127 127 9.48060040 1.570349637 11.050950 1 61 0 0 0
#> 128 128 11.13443937 1.395754128 12.530194 1 48 0 0 1
#> 129 129 3.47616704 0.605083683 4.081251 1 57 1 1 1
#> 130 130 8.13038758 1.690406155 9.820794 1 76 0 1 0
#> 131 131 12.33190613 1.974288478 15.909843 0 68 1 0 0
#> 132 132 8.22418119 1.931379354 10.155561 1 66 0 1 1
#> 133 133 4.85276585 1.548232521 6.400998 1 56 0 1 1
#> 134 134 0.05804212 1.330962458 1.389005 1 59 0 1 1
#> 135 135 12.94488076 1.361313854 17.709736 0 55 1 0 0
#> 136 136 6.02151730 1.299805567 7.321323 1 66 1 1 0
#> 137 137 4.40986751 1.853798855 6.263666 1 73 0 1 1
#> 138 138 8.66874462 0.035897000 8.704642 1 68 0 1 0
#> 139 139 2.00086094 1.877608366 3.878469 1 59 0 0 1
#> 140 140 2.90340600 1.965097878 4.868504 1 71 0 1 0
#> 141 141 1.85636615 0.106096841 1.962463 1 69 0 0 0
#> 142 142 12.79481388 1.511380730 14.306195 1 73 1 0 0
#> 143 143 8.56627347 0.890482330 9.456756 1 61 0 1 0
#> 144 144 6.60371347 0.910377387 7.514091 0 53 1 0 0
#> 145 145 13.28317358 1.023021036 29.058641 0 64 1 1 0
#> 146 146 12.75580602 1.550388596 17.047014 0 68 0 0 0
#> 147 147 11.97807985 0.681479206 12.659559 1 81 1 0 1
#> 148 148 7.94659194 0.721856450 8.668448 1 64 1 0 0
#> 149 149 7.24514393 1.648348195 8.893492 1 69 0 1 0
#> 150 150 5.52341669 1.307768784 6.831185 1 64 0 1 0
#> analysis_time
#> 1 5.550217
#> 2 5.550217
#> 3 5.550217
#> 4 5.550217
#> 5 5.550217
#> 6 5.550217
#> 7 5.550217
#> 8 5.550217
#> 9 5.550217
#> 10 5.550217
#> 11 5.550217
#> 12 5.550217
#> 13 5.550217
#> 14 5.550217
#> 15 5.550217
#> 16 5.550217
#> 17 5.550217
#> 18 5.550217
#> 19 5.550217
#> 20 5.550217
#> 21 5.550217
#> 22 5.550217
#> 23 5.550217
#> 24 5.550217
#> 25 5.550217
#> 26 5.550217
#> 27 5.550217
#> 28 5.550217
#> 29 5.550217
#> 30 5.550217
#> 31 5.550217
#> 32 5.550217
#> 33 5.550217
#> 34 5.550217
#> 35 5.550217
#> 36 5.550217
#> 37 5.550217
#> 38 5.550217
#> 39 5.550217
#> 40 5.550217
#> 41 5.550217
#> 42 5.550217
#> 43 5.550217
#> 44 5.550217
#> 45 5.550217
#> 46 5.550217
#> 47 5.550217
#> 48 5.550217
#> 49 5.550217
#> 50 5.550217
#> 51 5.550217
#> 52 5.550217
#> 53 5.550217
#> 54 5.550217
#> 55 5.550217
#> 56 5.550217
#> 57 5.550217
#> 58 5.550217
#> 59 5.550217
#> 60 5.550217
#> 61 5.550217
#> 62 5.550217
#> 63 5.550217
#> 64 5.550217
#> 65 5.550217
#> 66 5.550217
#> 67 5.550217
#> 68 5.550217
#> 69 5.550217
#> 70 5.550217
#> 71 5.550217
#> 72 5.550217
#> 73 5.550217
#> 74 5.550217
#> 75 5.550217
#> 76 5.550217
#> 77 5.550217
#> 78 5.550217
#> 79 5.550217
#> 80 5.550217
#> 81 5.550217
#> 82 5.550217
#> 83 5.550217
#> 84 5.550217
#> 85 5.550217
#> 86 5.550217
#> 87 5.550217
#> 88 5.550217
#> 89 5.550217
#> 90 5.550217
#> 91 5.550217
#> 92 5.550217
#> 93 5.550217
#> 94 5.550217
#> 95 5.550217
#> 96 5.550217
#> 97 5.550217
#> 98 5.550217
#> 99 5.550217
#> 100 5.550217
#> 101 5.550217
#> 102 5.550217
#> 103 5.550217
#> 104 5.550217
#> 105 5.550217
#> 106 5.550217
#> 107 5.550217
#> 108 5.550217
#> 109 5.550217
#> 110 5.550217
#> 111 5.550217
#> 112 5.550217
#> 113 5.550217
#> 114 5.550217
#> 115 5.550217
#> 116 5.550217
#> 117 5.550217
#> 118 5.550217
#> 119 5.550217
#> 120 5.550217
#> 121 5.550217
#> 122 5.550217
#> 123 5.550217
#> 124 5.550217
#> 125 5.550217
#> 126 5.550217
#> 127 5.550217
#> 128 5.550217
#> 129 5.550217
#> 130 5.550217
#> 131 5.550217
#> 132 5.550217
#> 133 5.550217
#> 134 5.550217
#> 135 5.550217
#> 136 5.550217
#> 137 5.550217
#> 138 5.550217
#> 139 5.550217
#> 140 5.550217
#> 141 5.550217
#> 142 5.550217
#> 143 5.550217
#> 144 5.550217
#> 145 5.550217
#> 146 5.550217
#> 147 5.550217
#> 148 5.550217
#> 149 5.550217
#> 150 5.550217
# Determining analysis time by a target follow-up time
ex_tte_df |> mutate(
analysis_time = calc_study_duration(study_time = total_time, observed_time = y,
event_indicator = event, target_follow_up = 12)
)
#> subjid y enr_time total_time event cov1 cov2 cov3 cov4
#> 1 1 4.94132575 0.914830838 5.856157 0 62 1 0 0
#> 2 2 13.48784696 0.818347654 34.120433 0 68 1 0 0
#> 3 3 4.08557603 1.234845352 5.320421 1 54 1 0 1
#> 4 4 12.54853421 1.757660399 18.259145 0 37 1 0 0
#> 5 5 11.60144136 1.519444841 13.120886 1 64 0 1 1
#> 6 6 13.06419095 1.242003662 17.094510 0 58 0 1 1
#> 7 7 9.81314580 1.058963733 10.872110 1 67 0 0 1
#> 8 8 8.32546909 1.739833746 10.065303 1 57 0 0 0
#> 9 9 12.22300778 0.005328632 12.228336 1 73 0 0 0
#> 10 10 2.18070722 1.209103289 3.389811 1 65 0 0 0
#> 11 11 1.87453932 0.938280275 2.812820 1 71 0 1 1
#> 12 12 13.03537379 1.270820822 28.926599 0 55 0 0 0
#> 13 13 13.58968582 0.120243722 13.709930 1 63 0 1 0
#> 14 14 3.85157607 0.879423183 4.730999 1 68 0 0 0
#> 15 15 1.23871879 0.028882144 1.267601 1 64 0 1 1
#> 16 16 8.02534813 0.225453192 8.250801 1 82 1 0 0
#> 17 17 4.14391880 0.848946745 4.992866 1 45 0 0 0
#> 18 18 11.65283579 1.893318857 13.546155 0 73 0 0 0
#> 19 19 4.60972545 1.143453675 5.753179 1 65 0 0 1
#> 20 20 6.97459156 0.552640099 7.527232 1 74 0 1 1
#> 21 21 12.78742955 1.518765057 16.883155 0 64 1 0 0
#> 22 22 3.40359707 1.135579805 4.539177 1 38 0 1 0
#> 23 23 10.70343388 1.801794218 12.505228 1 69 1 0 1
#> 24 24 2.57956045 1.801857366 4.381418 1 63 0 0 0
#> 25 25 8.97807945 1.667375555 10.645455 1 55 0 0 1
#> 26 26 1.07397237 0.979580768 2.053553 1 58 0 1 0
#> 27 27 13.45647204 0.849722569 39.847723 0 66 1 1 0
#> 28 28 10.56432229 0.530742681 11.095065 1 90 0 0 1
#> 29 29 13.60629872 0.699895892 14.749382 0 67 0 0 1
#> 30 30 9.66509057 1.287793164 10.952884 1 55 1 0 0
#> 31 31 12.99654787 1.309646739 21.987621 0 84 0 1 0
#> 32 32 0.64072655 0.803063575 1.443790 1 61 1 0 0
#> 33 33 12.41001105 1.896183561 38.443438 0 57 0 0 1
#> 34 34 1.52626737 1.675651089 3.201918 0 53 0 1 1
#> 35 35 5.86099717 0.856978191 6.717975 1 58 0 0 1
#> 36 36 12.54889557 1.757299039 35.511939 0 84 0 0 0
#> 37 37 6.62993839 0.182591691 6.812530 0 74 0 1 0
#> 38 38 9.63003796 0.658219346 10.288257 1 72 1 0 0
#> 39 39 10.85368481 0.882857819 11.736543 1 66 0 1 1
#> 40 40 8.72428218 1.356662716 10.080945 1 68 1 1 1
#> 41 41 12.49996325 1.806231361 33.485484 0 71 0 0 1
#> 42 42 1.80517492 0.790120253 2.595295 1 67 0 0 1
#> 43 43 1.11816335 0.322014023 1.440177 1 67 1 0 0
#> 44 44 9.64377430 1.638116490 11.281891 1 75 1 0 1
#> 45 45 3.69218383 1.943357178 5.635541 1 63 0 0 0
#> 46 46 10.17686106 1.896202200 12.073063 1 68 1 1 0
#> 47 47 12.78212492 1.524069688 16.497252 0 56 1 0 0
#> 48 48 13.32399282 0.982201790 23.498352 0 81 0 0 0
#> 49 49 2.35230418 0.775603405 3.127908 1 79 1 1 1
#> 50 50 11.79858863 1.343483454 13.142072 1 47 0 0 1
#> 51 51 13.10875140 1.197443212 14.972792 0 63 0 0 0
#> 52 52 13.74045847 0.565736139 35.274691 0 70 1 1 0
#> 53 53 9.08213968 1.864018058 10.946158 1 70 0 0 0
#> 54 54 9.89000393 0.615678150 10.505682 1 73 0 1 0
#> 55 55 13.74927445 0.556920157 16.984721 0 61 1 0 1
#> 56 56 11.57290297 0.207753573 11.780657 1 53 0 1 0
#> 57 57 0.82052430 0.859835137 1.680359 1 68 0 0 1
#> 58 58 13.78174289 0.524451723 14.406547 0 50 1 1 0
#> 59 59 6.14890044 1.806120872 7.955021 1 71 0 0 1
#> 60 60 6.51968350 1.235754918 7.755438 1 72 0 0 0
#> 61 61 12.46898554 1.837209076 18.695948 0 46 0 0 1
#> 62 62 13.05387397 1.252320643 15.624370 0 74 0 0 0
#> 63 63 8.08749313 1.101818035 9.189311 1 63 0 1 1
#> 64 64 7.78842293 1.889389239 9.677812 0 58 0 0 1
#> 65 65 2.25040964 1.499576018 3.749986 1 69 0 1 0
#> 66 66 12.69776464 1.608429969 17.494943 0 78 1 1 0
#> 67 67 9.16383335 1.168298671 10.332132 1 81 1 0 1
#> 68 68 3.36597674 1.300473365 4.666450 1 53 0 1 0
#> 69 69 4.92655148 1.896022630 6.822574 1 61 0 1 0
#> 70 70 8.50123185 1.560888817 10.062121 1 66 0 1 0
#> 71 71 2.09644996 1.193078713 3.289529 1 66 0 1 0
#> 72 72 3.67824483 1.937894981 5.616140 1 61 1 1 1
#> 73 73 14.00702626 0.299168351 20.371623 0 42 0 1 0
#> 74 74 12.81575901 1.490435606 20.256197 0 62 1 0 1
#> 75 75 13.57336144 0.732833170 14.483309 0 53 1 1 0
#> 76 76 11.10688793 1.886916388 12.993804 1 65 0 0 1
#> 77 77 13.65067103 0.655523577 18.081300 0 57 0 0 1
#> 78 78 12.71901840 1.587176209 15.183450 0 64 1 1 0
#> 79 79 4.15625220 1.393965260 5.550217 1 58 1 1 1
#> 80 80 13.28628838 1.019906234 23.154971 0 61 0 1 0
#> 81 81 12.96133651 1.344858098 36.578636 0 61 1 0 1
#> 82 82 12.74166548 1.564529136 16.565988 0 78 1 0 0
#> 83 83 13.71994020 0.586254409 15.912818 0 72 0 0 0
#> 84 84 9.35946924 0.375226433 9.734696 1 63 0 0 0
#> 85 85 3.01751638 1.844514892 4.862031 1 53 0 0 1
#> 86 86 13.01897227 1.287222342 23.352188 0 75 1 1 0
#> 87 87 8.62617477 1.341378423 9.967553 1 51 0 0 1
#> 88 88 12.86706587 1.439128740 21.357161 0 53 0 0 1
#> 89 89 12.87804488 1.428149728 16.888720 0 57 1 0 1
#> 90 90 11.01227336 1.535467605 12.547741 1 55 1 1 1
#> 91 91 6.08868565 1.881745142 7.970431 1 56 0 1 1
#> 92 92 13.04343279 1.262761817 18.356970 0 78 0 0 0
#> 93 93 6.12439409 1.053863459 7.178258 1 64 1 1 1
#> 94 94 12.96875082 1.337443796 14.688302 0 58 1 0 1
#> 95 95 7.74485260 1.011529981 8.756383 1 72 0 1 0
#> 96 96 3.78752871 1.476114000 5.263643 1 67 0 1 0
#> 97 97 9.29108586 0.510322453 9.801408 1 53 0 1 1
#> 98 98 13.52633582 0.779858791 22.261231 0 59 0 0 1
#> 99 99 10.82174912 1.258490415 12.080240 1 70 0 1 0
#> 100 100 12.37330713 1.932887477 64.793189 0 85 0 0 1
#> 101 101 12.54265890 1.763535714 21.988571 0 81 1 1 0
#> 102 102 0.32258255 1.975701769 2.298284 1 73 1 0 0
#> 103 103 12.27606151 1.458822752 13.734884 1 65 1 0 1
#> 104 104 7.43379836 1.242947810 8.676746 1 48 0 1 1
#> 105 105 4.10562201 1.628172625 5.733795 1 58 1 1 0
#> 106 106 13.02918631 1.277008304 16.655844 0 63 0 0 1
#> 107 107 1.20065513 0.082068380 1.282724 0 70 0 1 1
#> 108 108 12.44408288 1.862111733 16.601945 0 66 1 1 0
#> 109 109 0.87432668 0.316807468 1.191134 1 66 1 0 1
#> 110 110 12.73957392 1.566620693 33.263981 0 83 0 0 1
#> 111 111 4.22494864 1.517477012 5.742426 1 69 0 0 1
#> 112 112 12.59449656 1.711698053 19.436503 0 62 0 1 1
#> 113 113 13.15270437 1.153490246 19.173838 0 61 0 1 1
#> 114 114 3.95788320 1.799326662 5.757210 1 66 0 1 1
#> 115 115 6.00577017 1.786235661 7.792006 1 57 0 0 1
#> 116 116 12.42536031 1.880834302 14.607246 0 79 1 0 1
#> 117 117 8.14734538 1.692034146 9.839380 1 62 0 0 1
#> 118 118 9.64790719 1.520082211 11.167989 1 60 0 0 1
#> 119 119 2.01433411 1.060036130 3.074370 1 56 1 1 0
#> 120 120 12.57623427 0.082493735 12.658728 1 74 0 1 0
#> 121 121 12.49467829 1.811516325 31.410834 0 52 1 1 1
#> 122 122 12.96434451 1.341850099 19.787382 0 60 0 1 1
#> 123 123 5.45453170 1.417705139 6.872237 1 68 1 1 1
#> 124 124 2.50525420 0.267581866 2.772836 1 64 0 0 0
#> 125 125 10.79575829 1.966477632 12.762236 1 68 0 0 0
#> 126 126 2.31264350 1.852535335 4.165179 1 52 0 1 0
#> 127 127 9.48060040 1.570349637 11.050950 1 61 0 0 0
#> 128 128 11.13443937 1.395754128 12.530194 1 48 0 0 1
#> 129 129 3.47616704 0.605083683 4.081251 1 57 1 1 1
#> 130 130 8.13038758 1.690406155 9.820794 1 76 0 1 0
#> 131 131 12.33190613 1.974288478 15.909843 0 68 1 0 0
#> 132 132 8.22418119 1.931379354 10.155561 1 66 0 1 1
#> 133 133 4.85276585 1.548232521 6.400998 1 56 0 1 1
#> 134 134 0.05804212 1.330962458 1.389005 1 59 0 1 1
#> 135 135 12.94488076 1.361313854 17.709736 0 55 1 0 0
#> 136 136 6.02151730 1.299805567 7.321323 1 66 1 1 0
#> 137 137 4.40986751 1.853798855 6.263666 1 73 0 1 1
#> 138 138 8.66874462 0.035897000 8.704642 1 68 0 1 0
#> 139 139 2.00086094 1.877608366 3.878469 1 59 0 0 1
#> 140 140 2.90340600 1.965097878 4.868504 1 71 0 1 0
#> 141 141 1.85636615 0.106096841 1.962463 1 69 0 0 0
#> 142 142 12.79481388 1.511380730 14.306195 1 73 1 0 0
#> 143 143 8.56627347 0.890482330 9.456756 1 61 0 1 0
#> 144 144 6.60371347 0.910377387 7.514091 0 53 1 0 0
#> 145 145 13.28317358 1.023021036 29.058641 0 64 1 1 0
#> 146 146 12.75580602 1.550388596 17.047014 0 68 0 0 0
#> 147 147 11.97807985 0.681479206 12.659559 1 81 1 0 1
#> 148 148 7.94659194 0.721856450 8.668448 1 64 1 0 0
#> 149 149 7.24514393 1.648348195 8.893492 1 69 0 1 0
#> 150 150 5.52341669 1.307768784 6.831185 1 64 0 1 0
#> analysis_time
#> 1 13.51138
#> 2 13.51138
#> 3 13.51138
#> 4 13.51138
#> 5 13.51138
#> 6 13.51138
#> 7 13.51138
#> 8 13.51138
#> 9 13.51138
#> 10 13.51138
#> 11 13.51138
#> 12 13.51138
#> 13 13.51138
#> 14 13.51138
#> 15 13.51138
#> 16 13.51138
#> 17 13.51138
#> 18 13.51138
#> 19 13.51138
#> 20 13.51138
#> 21 13.51138
#> 22 13.51138
#> 23 13.51138
#> 24 13.51138
#> 25 13.51138
#> 26 13.51138
#> 27 13.51138
#> 28 13.51138
#> 29 13.51138
#> 30 13.51138
#> 31 13.51138
#> 32 13.51138
#> 33 13.51138
#> 34 13.51138
#> 35 13.51138
#> 36 13.51138
#> 37 13.51138
#> 38 13.51138
#> 39 13.51138
#> 40 13.51138
#> 41 13.51138
#> 42 13.51138
#> 43 13.51138
#> 44 13.51138
#> 45 13.51138
#> 46 13.51138
#> 47 13.51138
#> 48 13.51138
#> 49 13.51138
#> 50 13.51138
#> 51 13.51138
#> 52 13.51138
#> 53 13.51138
#> 54 13.51138
#> 55 13.51138
#> 56 13.51138
#> 57 13.51138
#> 58 13.51138
#> 59 13.51138
#> 60 13.51138
#> 61 13.51138
#> 62 13.51138
#> 63 13.51138
#> 64 13.51138
#> 65 13.51138
#> 66 13.51138
#> 67 13.51138
#> 68 13.51138
#> 69 13.51138
#> 70 13.51138
#> 71 13.51138
#> 72 13.51138
#> 73 13.51138
#> 74 13.51138
#> 75 13.51138
#> 76 13.51138
#> 77 13.51138
#> 78 13.51138
#> 79 13.51138
#> 80 13.51138
#> 81 13.51138
#> 82 13.51138
#> 83 13.51138
#> 84 13.51138
#> 85 13.51138
#> 86 13.51138
#> 87 13.51138
#> 88 13.51138
#> 89 13.51138
#> 90 13.51138
#> 91 13.51138
#> 92 13.51138
#> 93 13.51138
#> 94 13.51138
#> 95 13.51138
#> 96 13.51138
#> 97 13.51138
#> 98 13.51138
#> 99 13.51138
#> 100 13.51138
#> 101 13.51138
#> 102 13.51138
#> 103 13.51138
#> 104 13.51138
#> 105 13.51138
#> 106 13.51138
#> 107 13.51138
#> 108 13.51138
#> 109 13.51138
#> 110 13.51138
#> 111 13.51138
#> 112 13.51138
#> 113 13.51138
#> 114 13.51138
#> 115 13.51138
#> 116 13.51138
#> 117 13.51138
#> 118 13.51138
#> 119 13.51138
#> 120 13.51138
#> 121 13.51138
#> 122 13.51138
#> 123 13.51138
#> 124 13.51138
#> 125 13.51138
#> 126 13.51138
#> 127 13.51138
#> 128 13.51138
#> 129 13.51138
#> 130 13.51138
#> 131 13.51138
#> 132 13.51138
#> 133 13.51138
#> 134 13.51138
#> 135 13.51138
#> 136 13.51138
#> 137 13.51138
#> 138 13.51138
#> 139 13.51138
#> 140 13.51138
#> 141 13.51138
#> 142 13.51138
#> 143 13.51138
#> 144 13.51138
#> 145 13.51138
#> 146 13.51138
#> 147 13.51138
#> 148 13.51138
#> 149 13.51138
#> 150 13.51138
# Or use both (whichever happens first)
ex_tte_df |> mutate(
analysis_time = calc_study_duration(study_time = total_time, observed_time = y,
event_indicator = event,
target_events = 30, target_follow_up = 12)
)
#> subjid y enr_time total_time event cov1 cov2 cov3 cov4
#> 1 1 4.94132575 0.914830838 5.856157 0 62 1 0 0
#> 2 2 13.48784696 0.818347654 34.120433 0 68 1 0 0
#> 3 3 4.08557603 1.234845352 5.320421 1 54 1 0 1
#> 4 4 12.54853421 1.757660399 18.259145 0 37 1 0 0
#> 5 5 11.60144136 1.519444841 13.120886 1 64 0 1 1
#> 6 6 13.06419095 1.242003662 17.094510 0 58 0 1 1
#> 7 7 9.81314580 1.058963733 10.872110 1 67 0 0 1
#> 8 8 8.32546909 1.739833746 10.065303 1 57 0 0 0
#> 9 9 12.22300778 0.005328632 12.228336 1 73 0 0 0
#> 10 10 2.18070722 1.209103289 3.389811 1 65 0 0 0
#> 11 11 1.87453932 0.938280275 2.812820 1 71 0 1 1
#> 12 12 13.03537379 1.270820822 28.926599 0 55 0 0 0
#> 13 13 13.58968582 0.120243722 13.709930 1 63 0 1 0
#> 14 14 3.85157607 0.879423183 4.730999 1 68 0 0 0
#> 15 15 1.23871879 0.028882144 1.267601 1 64 0 1 1
#> 16 16 8.02534813 0.225453192 8.250801 1 82 1 0 0
#> 17 17 4.14391880 0.848946745 4.992866 1 45 0 0 0
#> 18 18 11.65283579 1.893318857 13.546155 0 73 0 0 0
#> 19 19 4.60972545 1.143453675 5.753179 1 65 0 0 1
#> 20 20 6.97459156 0.552640099 7.527232 1 74 0 1 1
#> 21 21 12.78742955 1.518765057 16.883155 0 64 1 0 0
#> 22 22 3.40359707 1.135579805 4.539177 1 38 0 1 0
#> 23 23 10.70343388 1.801794218 12.505228 1 69 1 0 1
#> 24 24 2.57956045 1.801857366 4.381418 1 63 0 0 0
#> 25 25 8.97807945 1.667375555 10.645455 1 55 0 0 1
#> 26 26 1.07397237 0.979580768 2.053553 1 58 0 1 0
#> 27 27 13.45647204 0.849722569 39.847723 0 66 1 1 0
#> 28 28 10.56432229 0.530742681 11.095065 1 90 0 0 1
#> 29 29 13.60629872 0.699895892 14.749382 0 67 0 0 1
#> 30 30 9.66509057 1.287793164 10.952884 1 55 1 0 0
#> 31 31 12.99654787 1.309646739 21.987621 0 84 0 1 0
#> 32 32 0.64072655 0.803063575 1.443790 1 61 1 0 0
#> 33 33 12.41001105 1.896183561 38.443438 0 57 0 0 1
#> 34 34 1.52626737 1.675651089 3.201918 0 53 0 1 1
#> 35 35 5.86099717 0.856978191 6.717975 1 58 0 0 1
#> 36 36 12.54889557 1.757299039 35.511939 0 84 0 0 0
#> 37 37 6.62993839 0.182591691 6.812530 0 74 0 1 0
#> 38 38 9.63003796 0.658219346 10.288257 1 72 1 0 0
#> 39 39 10.85368481 0.882857819 11.736543 1 66 0 1 1
#> 40 40 8.72428218 1.356662716 10.080945 1 68 1 1 1
#> 41 41 12.49996325 1.806231361 33.485484 0 71 0 0 1
#> 42 42 1.80517492 0.790120253 2.595295 1 67 0 0 1
#> 43 43 1.11816335 0.322014023 1.440177 1 67 1 0 0
#> 44 44 9.64377430 1.638116490 11.281891 1 75 1 0 1
#> 45 45 3.69218383 1.943357178 5.635541 1 63 0 0 0
#> 46 46 10.17686106 1.896202200 12.073063 1 68 1 1 0
#> 47 47 12.78212492 1.524069688 16.497252 0 56 1 0 0
#> 48 48 13.32399282 0.982201790 23.498352 0 81 0 0 0
#> 49 49 2.35230418 0.775603405 3.127908 1 79 1 1 1
#> 50 50 11.79858863 1.343483454 13.142072 1 47 0 0 1
#> 51 51 13.10875140 1.197443212 14.972792 0 63 0 0 0
#> 52 52 13.74045847 0.565736139 35.274691 0 70 1 1 0
#> 53 53 9.08213968 1.864018058 10.946158 1 70 0 0 0
#> 54 54 9.89000393 0.615678150 10.505682 1 73 0 1 0
#> 55 55 13.74927445 0.556920157 16.984721 0 61 1 0 1
#> 56 56 11.57290297 0.207753573 11.780657 1 53 0 1 0
#> 57 57 0.82052430 0.859835137 1.680359 1 68 0 0 1
#> 58 58 13.78174289 0.524451723 14.406547 0 50 1 1 0
#> 59 59 6.14890044 1.806120872 7.955021 1 71 0 0 1
#> 60 60 6.51968350 1.235754918 7.755438 1 72 0 0 0
#> 61 61 12.46898554 1.837209076 18.695948 0 46 0 0 1
#> 62 62 13.05387397 1.252320643 15.624370 0 74 0 0 0
#> 63 63 8.08749313 1.101818035 9.189311 1 63 0 1 1
#> 64 64 7.78842293 1.889389239 9.677812 0 58 0 0 1
#> 65 65 2.25040964 1.499576018 3.749986 1 69 0 1 0
#> 66 66 12.69776464 1.608429969 17.494943 0 78 1 1 0
#> 67 67 9.16383335 1.168298671 10.332132 1 81 1 0 1
#> 68 68 3.36597674 1.300473365 4.666450 1 53 0 1 0
#> 69 69 4.92655148 1.896022630 6.822574 1 61 0 1 0
#> 70 70 8.50123185 1.560888817 10.062121 1 66 0 1 0
#> 71 71 2.09644996 1.193078713 3.289529 1 66 0 1 0
#> 72 72 3.67824483 1.937894981 5.616140 1 61 1 1 1
#> 73 73 14.00702626 0.299168351 20.371623 0 42 0 1 0
#> 74 74 12.81575901 1.490435606 20.256197 0 62 1 0 1
#> 75 75 13.57336144 0.732833170 14.483309 0 53 1 1 0
#> 76 76 11.10688793 1.886916388 12.993804 1 65 0 0 1
#> 77 77 13.65067103 0.655523577 18.081300 0 57 0 0 1
#> 78 78 12.71901840 1.587176209 15.183450 0 64 1 1 0
#> 79 79 4.15625220 1.393965260 5.550217 1 58 1 1 1
#> 80 80 13.28628838 1.019906234 23.154971 0 61 0 1 0
#> 81 81 12.96133651 1.344858098 36.578636 0 61 1 0 1
#> 82 82 12.74166548 1.564529136 16.565988 0 78 1 0 0
#> 83 83 13.71994020 0.586254409 15.912818 0 72 0 0 0
#> 84 84 9.35946924 0.375226433 9.734696 1 63 0 0 0
#> 85 85 3.01751638 1.844514892 4.862031 1 53 0 0 1
#> 86 86 13.01897227 1.287222342 23.352188 0 75 1 1 0
#> 87 87 8.62617477 1.341378423 9.967553 1 51 0 0 1
#> 88 88 12.86706587 1.439128740 21.357161 0 53 0 0 1
#> 89 89 12.87804488 1.428149728 16.888720 0 57 1 0 1
#> 90 90 11.01227336 1.535467605 12.547741 1 55 1 1 1
#> 91 91 6.08868565 1.881745142 7.970431 1 56 0 1 1
#> 92 92 13.04343279 1.262761817 18.356970 0 78 0 0 0
#> 93 93 6.12439409 1.053863459 7.178258 1 64 1 1 1
#> 94 94 12.96875082 1.337443796 14.688302 0 58 1 0 1
#> 95 95 7.74485260 1.011529981 8.756383 1 72 0 1 0
#> 96 96 3.78752871 1.476114000 5.263643 1 67 0 1 0
#> 97 97 9.29108586 0.510322453 9.801408 1 53 0 1 1
#> 98 98 13.52633582 0.779858791 22.261231 0 59 0 0 1
#> 99 99 10.82174912 1.258490415 12.080240 1 70 0 1 0
#> 100 100 12.37330713 1.932887477 64.793189 0 85 0 0 1
#> 101 101 12.54265890 1.763535714 21.988571 0 81 1 1 0
#> 102 102 0.32258255 1.975701769 2.298284 1 73 1 0 0
#> 103 103 12.27606151 1.458822752 13.734884 1 65 1 0 1
#> 104 104 7.43379836 1.242947810 8.676746 1 48 0 1 1
#> 105 105 4.10562201 1.628172625 5.733795 1 58 1 1 0
#> 106 106 13.02918631 1.277008304 16.655844 0 63 0 0 1
#> 107 107 1.20065513 0.082068380 1.282724 0 70 0 1 1
#> 108 108 12.44408288 1.862111733 16.601945 0 66 1 1 0
#> 109 109 0.87432668 0.316807468 1.191134 1 66 1 0 1
#> 110 110 12.73957392 1.566620693 33.263981 0 83 0 0 1
#> 111 111 4.22494864 1.517477012 5.742426 1 69 0 0 1
#> 112 112 12.59449656 1.711698053 19.436503 0 62 0 1 1
#> 113 113 13.15270437 1.153490246 19.173838 0 61 0 1 1
#> 114 114 3.95788320 1.799326662 5.757210 1 66 0 1 1
#> 115 115 6.00577017 1.786235661 7.792006 1 57 0 0 1
#> 116 116 12.42536031 1.880834302 14.607246 0 79 1 0 1
#> 117 117 8.14734538 1.692034146 9.839380 1 62 0 0 1
#> 118 118 9.64790719 1.520082211 11.167989 1 60 0 0 1
#> 119 119 2.01433411 1.060036130 3.074370 1 56 1 1 0
#> 120 120 12.57623427 0.082493735 12.658728 1 74 0 1 0
#> 121 121 12.49467829 1.811516325 31.410834 0 52 1 1 1
#> 122 122 12.96434451 1.341850099 19.787382 0 60 0 1 1
#> 123 123 5.45453170 1.417705139 6.872237 1 68 1 1 1
#> 124 124 2.50525420 0.267581866 2.772836 1 64 0 0 0
#> 125 125 10.79575829 1.966477632 12.762236 1 68 0 0 0
#> 126 126 2.31264350 1.852535335 4.165179 1 52 0 1 0
#> 127 127 9.48060040 1.570349637 11.050950 1 61 0 0 0
#> 128 128 11.13443937 1.395754128 12.530194 1 48 0 0 1
#> 129 129 3.47616704 0.605083683 4.081251 1 57 1 1 1
#> 130 130 8.13038758 1.690406155 9.820794 1 76 0 1 0
#> 131 131 12.33190613 1.974288478 15.909843 0 68 1 0 0
#> 132 132 8.22418119 1.931379354 10.155561 1 66 0 1 1
#> 133 133 4.85276585 1.548232521 6.400998 1 56 0 1 1
#> 134 134 0.05804212 1.330962458 1.389005 1 59 0 1 1
#> 135 135 12.94488076 1.361313854 17.709736 0 55 1 0 0
#> 136 136 6.02151730 1.299805567 7.321323 1 66 1 1 0
#> 137 137 4.40986751 1.853798855 6.263666 1 73 0 1 1
#> 138 138 8.66874462 0.035897000 8.704642 1 68 0 1 0
#> 139 139 2.00086094 1.877608366 3.878469 1 59 0 0 1
#> 140 140 2.90340600 1.965097878 4.868504 1 71 0 1 0
#> 141 141 1.85636615 0.106096841 1.962463 1 69 0 0 0
#> 142 142 12.79481388 1.511380730 14.306195 1 73 1 0 0
#> 143 143 8.56627347 0.890482330 9.456756 1 61 0 1 0
#> 144 144 6.60371347 0.910377387 7.514091 0 53 1 0 0
#> 145 145 13.28317358 1.023021036 29.058641 0 64 1 1 0
#> 146 146 12.75580602 1.550388596 17.047014 0 68 0 0 0
#> 147 147 11.97807985 0.681479206 12.659559 1 81 1 0 1
#> 148 148 7.94659194 0.721856450 8.668448 1 64 1 0 0
#> 149 149 7.24514393 1.648348195 8.893492 1 69 0 1 0
#> 150 150 5.52341669 1.307768784 6.831185 1 64 0 1 0
#> analysis_time
#> 1 5.550217
#> 2 5.550217
#> 3 5.550217
#> 4 5.550217
#> 5 5.550217
#> 6 5.550217
#> 7 5.550217
#> 8 5.550217
#> 9 5.550217
#> 10 5.550217
#> 11 5.550217
#> 12 5.550217
#> 13 5.550217
#> 14 5.550217
#> 15 5.550217
#> 16 5.550217
#> 17 5.550217
#> 18 5.550217
#> 19 5.550217
#> 20 5.550217
#> 21 5.550217
#> 22 5.550217
#> 23 5.550217
#> 24 5.550217
#> 25 5.550217
#> 26 5.550217
#> 27 5.550217
#> 28 5.550217
#> 29 5.550217
#> 30 5.550217
#> 31 5.550217
#> 32 5.550217
#> 33 5.550217
#> 34 5.550217
#> 35 5.550217
#> 36 5.550217
#> 37 5.550217
#> 38 5.550217
#> 39 5.550217
#> 40 5.550217
#> 41 5.550217
#> 42 5.550217
#> 43 5.550217
#> 44 5.550217
#> 45 5.550217
#> 46 5.550217
#> 47 5.550217
#> 48 5.550217
#> 49 5.550217
#> 50 5.550217
#> 51 5.550217
#> 52 5.550217
#> 53 5.550217
#> 54 5.550217
#> 55 5.550217
#> 56 5.550217
#> 57 5.550217
#> 58 5.550217
#> 59 5.550217
#> 60 5.550217
#> 61 5.550217
#> 62 5.550217
#> 63 5.550217
#> 64 5.550217
#> 65 5.550217
#> 66 5.550217
#> 67 5.550217
#> 68 5.550217
#> 69 5.550217
#> 70 5.550217
#> 71 5.550217
#> 72 5.550217
#> 73 5.550217
#> 74 5.550217
#> 75 5.550217
#> 76 5.550217
#> 77 5.550217
#> 78 5.550217
#> 79 5.550217
#> 80 5.550217
#> 81 5.550217
#> 82 5.550217
#> 83 5.550217
#> 84 5.550217
#> 85 5.550217
#> 86 5.550217
#> 87 5.550217
#> 88 5.550217
#> 89 5.550217
#> 90 5.550217
#> 91 5.550217
#> 92 5.550217
#> 93 5.550217
#> 94 5.550217
#> 95 5.550217
#> 96 5.550217
#> 97 5.550217
#> 98 5.550217
#> 99 5.550217
#> 100 5.550217
#> 101 5.550217
#> 102 5.550217
#> 103 5.550217
#> 104 5.550217
#> 105 5.550217
#> 106 5.550217
#> 107 5.550217
#> 108 5.550217
#> 109 5.550217
#> 110 5.550217
#> 111 5.550217
#> 112 5.550217
#> 113 5.550217
#> 114 5.550217
#> 115 5.550217
#> 116 5.550217
#> 117 5.550217
#> 118 5.550217
#> 119 5.550217
#> 120 5.550217
#> 121 5.550217
#> 122 5.550217
#> 123 5.550217
#> 124 5.550217
#> 125 5.550217
#> 126 5.550217
#> 127 5.550217
#> 128 5.550217
#> 129 5.550217
#> 130 5.550217
#> 131 5.550217
#> 132 5.550217
#> 133 5.550217
#> 134 5.550217
#> 135 5.550217
#> 136 5.550217
#> 137 5.550217
#> 138 5.550217
#> 139 5.550217
#> 140 5.550217
#> 141 5.550217
#> 142 5.550217
#> 143 5.550217
#> 144 5.550217
#> 145 5.550217
#> 146 5.550217
#> 147 5.550217
#> 148 5.550217
#> 149 5.550217
#> 150 5.550217