2013-10-11 2 views
1

Это обновленное сообщение с лучшим описанием фактических данных, а также содержит более ранние комментарии от Джона. Еще раз спасибо ему.R Найдите среднее число и добавьте ID в data.frame() и cut()

Я также данные, доступные непосредственно через dput()

у меня есть два отдельных кадров данных в R. Переменные интерес даты, отформатированные как серийные номера, как я думаю, что они немного проще в числовом формате. Хотя обратите внимание, что они не являются целыми числами, а длинными десятичными знаками, чтобы сохранить точность и уменьшить повторения одинаковых значений. Первый набор данных - это просто вектор одного номера DateTime.

one <- structure(list(DateTimeNumber = c(40603.91729, 40604.00056, 40604.08381, 
40604.16729, 40604.25058, 40604.33375, 40604.41716, 40604.50063, 
40604.58407, 40604.66697, 40604.75061, 40604.83431, 40604.91721, 
40605.00063, 40605.08396, 40605.16725, 40605.25057, 40605.33392, 
40605.41749, 40605.50069, 40605.58431, 40605.66728, 40605.75072, 
40605.83424, 40605.91791, 40606.00063, 40606.0839, 40606.16729, 
40606.25051, 40606.33388, 40606.41729, 40606.50061, 40606.5839, 
40606.66753, 40606.83458, 40606.91728, 40607.00073, 40607.08491, 
40607.16772, 40607.25047, 40607.33428, 40607.41721, 40607.50061, 
40607.58429, 40607.66797, 40607.75061, 40607.83462, 40608.00155, 
40608.0841, 40608.16725, 40608.2505, 40608.33395, 40608.41729, 
40608.50089, 40608.58458, 40608.66751, 40608.83428, 40608.91729, 
40609.00061, 40609.08429, 40609.1678, 40609.25061, 40609.50123, 
40609.58418, 40609.66758, 40609.75169, 40609.83527, 40609.91729, 
40610.00061, 40610.08396, 40610.16789, 40610.2505, 40610.33407, 
40610.41728, 40610.50081, 40610.58406, 40610.66742, 40610.91834, 
40611.00116, 40611.08382, 40611.16728, 40611.25096, 40611.33396, 
40611.41728, 40611.50068, 40611.58384, 40611.66738, 40611.75063, 
40611.83389, 40611.91729, 40612.00067, 40612.0839, 40612.16749, 
40612.25061, 40612.33395, 40612.41714, 40612.5009, 40612.58378, 
40612.66764, 40612.75058, 40612.83396, 40612.91763, 40613.00056, 
40613.08396, 40613.16749, 40613.25127, 40613.33383, 40613.41743, 
40613.50096, 40613.58421, 40613.66764, 40613.75066, 40613.83536, 
40613.91729, 40614.00063, 40614.08389, 40614.16721, 40614.25061, 
40614.33388, 40614.41721, 40614.50083, 40614.5845, 40614.66775, 
40614.75064, 40614.83472, 40614.91744, 40615.00063, 40615.08424, 
40615.16773, 40615.25091, 40615.33381, 40615.41749, 40615.50058, 
40615.58466, 40615.66762, 40615.75058, 40615.83426, 40615.91757, 
40616.00153, 40616.08382, 40616.16792, 40616.25083, 40616.33428, 
40616.41718, 40616.50061, 40616.58456, 40616.66714, 40616.75063, 
40616.83397, 40616.91865, 40617.00083, 40617.08383, 40617.16714, 
40617.25063, 40617.33416, 40617.41785, 40617.50083, 40617.58404, 
40617.66794, 40617.75056, 40617.83499, 40617.91745, 40618.00084, 
40618.08405, 40618.16728, 40618.25047, 40618.3341, 40618.41844, 
40618.50128, 40618.58484, 40618.66728, 40618.75061, 40618.91728, 
40619.00098, 40619.08395, 40619.16728, 40619.25083, 40619.33395, 
40619.41795, 40619.50057, 40619.58403, 40619.66882, 40620.00118, 
40620.08396, 40620.1675, 40620.25049, 40620.33403, 40620.41763, 
40620.50089, 40620.5842, 40620.66799, 40620.83431, 40620.91729, 
40621.00122, 40621.08361, 40621.16714, 40621.25065, 40621.33427, 
40621.41763, 40621.50029, 40621.58416, 40621.66728, 40621.75056, 
40621.83456, 40621.91791, 40622.00096, 40622.08395, 40622.16728, 
40622.25047, 40622.33398, 40622.41709, 40622.50082, 40622.58431, 
40622.66833, 40622.75056, 40622.83521, 40622.91714, 40623.00082, 
40623.08395, 40623.16725, 40623.25047, 40623.33413, 40623.41797, 
40623.50082, 40623.58456, 40623.66809, 40623.75061, 40623.8355, 
40623.91729, 40624.00097, 40624.08411, 40624.16697, 40624.25185, 
40624.33389, 40624.41781, 40624.50089, 40624.58391, 40624.66722, 
40624.75122, 40624.83465, 40624.91714, 40625.00049, 40625.08402, 
40625.25064, 40625.33463, 40625.41718, 40625.50047, 40625.58382, 
40625.66721, 40625.75118, 40625.83395, 40625.91721, 40626.00086, 
40626.08384, 40626.16722, 40626.25061, 40626.33381, 40626.41722, 
40626.50089, 40626.58422, 40626.66729, 40626.75049, 40626.83383, 
40626.9172, 40627.00037, 40627.08464, 40627.16714, 40627.25047, 
40627.33384, 40627.41715, 40627.50083, 40627.58382, 40627.66728, 
40627.75046, 40627.8345, 40627.91716, 40628.00063, 40628.08397, 
40628.16791, 40628.33451, 40628.41738, 40628.5008, 40628.75127, 
40628.9188, 40629.00051, 40629.08449, 40629.16833, 40629.25031, 
40629.33458, 40629.41715, 40629.50126, 40629.58449, 40629.66799, 
40629.75126, 40630.08416, 40630.16781, 40630.25061, 40630.33398, 
40630.41731, 40630.50083, 40630.58373, 40630.66725, 40630.75047, 
40630.83398, 40630.91696, 40631.00072, 40631.08431, 40631.16729, 
40631.25071, 40631.33395, 40631.41782, 40631.50061, 40631.58417, 
40631.66736, 40631.75122, 40631.91715, 40632.00049, 40632.08396, 
40632.16722, 40632.25167, 40632.33409, 40632.41714, 40632.50061, 
40632.58394, 40632.66884, 40632.75138, 40632.91731, 40633.00043, 
40633.08464, 40633.16728, 40633.25063, 40633.33388, 40633.41728, 
40633.50061, 40633.58551, 40633.66787, 40633.75162, 40633.83457, 
40633.91729, 40634.00065, 40634.08392, 40634.16814, 40634.25166, 
40634.33395, 40634.41729, 40634.50054, 40634.5839, 40634.6672, 
40634.75063, 40634.91784, 40635.00076, 40635.08394, 40635.16728, 
40635.25073, 40635.33396, 40635.41729, 40635.50061, 40635.58458, 
40635.66728, 40635.83461, 40635.91788, 40636.00116, 40636.08382, 
40636.16822, 40636.25096, 40636.33382, 40636.41714, 40636.50094, 
40636.58391, 40636.66799, 40636.75058, 40636.9178, 40637.08383, 
40637.25164, 40637.33535, 40637.41885, 40637.58422, 40637.66887, 
40637.75133, 40637.83466, 40637.918, 40638.00051, 40638.08382, 
40638.16723, 40638.33464, 40638.41826, 40638.58391, 40638.66721, 
40638.75065, 40638.83396, 40638.91728, 40639.00063, 40639.08391, 
40639.16714, 40639.25051, 40639.33382, 40639.41714, 40639.50095, 
40639.66811, 40639.75065, 40639.83406, 40639.91729, 40640.00068, 
40640.08396, 40640.1675, 40640.25089, 40640.33395, 40640.41728, 
40640.5005, 40640.58455, 40640.66728, 40640.75063, 40640.83478, 
40641.00169, 40641.08388, 40641.16722, 40641.25132, 40641.33381, 
40641.41729, 40641.50078, 40641.58383, 40641.66743, 40641.75061, 
40641.83396, 40641.91721, 40642.00065, 40642.08381, 40642.16718, 
40642.25053, 40642.33382, 40642.4175, 40642.50063, 40642.58389, 
40642.66758, 40642.75083, 40642.83409, 40642.91759, 40643.00063, 
40643.08382, 40643.1673, 40643.33461, 40643.41881, 40643.50093, 
40643.58537, 40643.66749, 40643.75199, 40643.83389, 40643.91688, 
40644.00057, 40644.08396, 40644.16714, 40644.25115, 40644.33395, 
40644.41729, 40644.50049, 40644.58456, 40644.6675, 40644.75063, 
40644.83465, 40644.91748, 40645.00058, 40645.08383, 40645.16729, 
40645.25049, 40645.33361, 40645.41728, 40645.50156, 40645.58396, 
40645.66716, 40645.75058, 40645.83382, 40645.91715, 40646.00049, 
40646.0836, 40646.16718, 40646.25061, 40646.33394, 40646.41744, 
40646.50083, 40646.58396, 40646.66727, 40646.75054, 40646.83388, 
40646.91809, 40647.00049, 40647.08381, 40647.16697, 40647.25082, 
40647.33394, 40647.41722, 40647.50056, 40647.58388, 40647.66697, 
40647.75051, 40647.83388, 40647.91715, 40648.00051, 40648.08395, 
40648.16748, 40648.25078, 40648.33395, 40648.41728, 40648.50078, 
40648.58391, 40648.667, 40648.75086, 40648.83362, 40648.91721, 
40649.00057, 40649.08382, 40649.16727, 40649.25056, 40649.33389, 
40649.41693, 40649.50063, 40649.58462, 40649.66749, 40649.75061, 
40649.83398, 40649.91819, 40650.00056, 40650.08413, 40650.16729, 
40650.25063, 40650.33389, 40650.41697, 40650.50031, 40650.58521, 
40650.66747, 40650.75125, 40650.83395, 40650.91757, 40651.00118, 
40651.08396, 40651.16731, 40651.25112, 40651.3341, 40651.41712, 
40651.50074, 40651.58362, 40651.6672, 40651.75198, 40651.83409, 
40651.91818, 40652.00116, 40652.0841, 40652.16749, 40652.2508, 
40652.33383, 40652.41694, 40652.50049, 40652.58465, 40652.66727, 
40652.75065, 40652.83422, 40652.91756, 40653.00063, 40653.08534, 
40653.16722, 40653.25146, 40653.33397, 40653.41722, 40653.50145, 
40653.58397, 40653.66728, 40653.75124, 40653.83395, 40653.91722, 
40654.00051, 40654.08383, 40654.16714, 40654.25066, 40654.33416, 
40654.41733, 40654.50211, 40654.58433, 40654.66764, 40654.75097, 
40654.91795, 40655.00134, 40655.0841, 40655.16785, 40655.25167, 
40655.33395, 40655.41729, 40655.50213, 40655.58464, 40655.66715, 
40655.75061, 40655.83395, 40655.91757, 40656.00096, 40656.08446, 
40656.16721, 40656.25065, 40656.33381, 40656.41797, 40656.50066, 
40656.58476, 40656.66744, 40656.75088, 40656.83412, 40656.91771, 
40657.00082, 40657.08432, 40657.1686, 40657.25125, 40657.33545, 
40657.41731, 40657.50083, 40657.58395, 40657.66753, 40657.75196, 
40657.83419, 40657.91792, 40658.00054, 40658.08413, 40658.16764, 
40658.25147, 40658.33523, 40658.41789, 40658.50063, 40658.58388, 
40658.75137, 40658.83395, 40658.917, 40659.08395, 40659.16764, 
40659.25049, 40659.33422, 40659.41731, 40659.58464, 40659.66722, 
40659.75125, 40659.83395, 40659.91752, 40660.00063, 40660.08493, 
40660.16764, 40660.3345, 40660.41861, 40660.50184, 40660.66778, 
40660.75157, 40660.91723, 40661.00025, 40661.08362, 40661.16763, 
40661.25117, 40661.33389, 40661.50155, 40661.75153, 40661.8344, 
40662.08501, 40662.16708, 40662.25063, 40662.33416, 40662.41729, 
40662.50049, 40662.58422, 40662.6675, 40662.75049, 40662.8336, 
40662.91742, 40663.00097, 40663.08416, 40663.16728, 40663.25128, 
40663.33388, 40663.41722, 40663.50028, 40663.58396, 40663.66727, 
40663.75065, 40663.83403, 40663.91749, 40664.00061, 40664.08417, 
40664.16728, 40664.25056, 40664.33361, 40664.41716, 40664.50061, 
40664.66772, 40664.75089, 40664.83389, 40664.91729, 40665.00061, 
40665.08439, 40665.16795, 40665.25131, 40665.33434, 40665.41786, 
40665.50123, 40665.58383, 40665.66729, 40665.75065, 40665.83396, 
40665.91736, 40666.00049, 40666.08363, 40666.16757, 40666.25061, 
40666.33391, 40666.41729, 40666.50117, 40666.5839, 40666.66764, 
40666.75124, 40666.83403, 40666.91728, 40667.00061, 40667.08425, 
40667.16729, 40667.25063, 40667.33395, 40667.41736, 40667.50116, 
40667.58395, 40667.6675, 40667.75155, 40667.83382, 40667.91723, 
40668.00049, 40668.08396, 40668.16701, 40668.25132, 40668.33544, 
40668.50122, 40668.66836, 40668.75192, 40668.91794, 40669.00096, 
40669.08383, 40669.16856, 40669.25063, 40669.33381, 40669.41729, 
40669.50153, 40669.58451, 40669.83457, 40669.91729, 40670.00025, 
40670.08384, 40670.16728, 40670.25052, 40670.33477, 40670.41729, 
40670.50156, 40670.58438, 40670.66714, 40670.75127, 40670.83479, 
40670.91729, 40671.00212, 40671.08463, 40671.16714, 40671.25049, 
40671.33395, 40671.41714, 40671.50089, 40671.58464, 40671.6688, 
40672.00074, 40672.08462, 40672.16784, 40672.25049, 40672.33392, 
40672.41731, 40672.50057, 40672.58382, 40672.66749, 40672.75063, 
40672.83388, 40672.91744, 40673.00054, 40673.08381, 40673.16737, 
40673.25061, 40673.33405, 40673.41726, 40673.50061, 40673.58382, 
40673.66881, 40673.75056, 40673.83382, 40673.91722, 40674.00029, 
40674.08381, 40674.16729, 40674.25047, 40674.33383, 40674.41731, 
40674.50063, 40675.00089, 40675.08405, 40675.16719, 40675.75215, 
40676.16752, 40676.25063, 40676.33383, 40676.41715, 40676.50061, 
40676.58396, 40676.6673, 40676.75067, 40676.83388, 40676.91756, 
40677.00054, 40677.08389, 40677.16715, 40677.25063, 40677.33396, 
40677.41691, 40677.50083, 40677.58363, 40677.66786, 40677.75072, 
40678.25118, 40678.33396, 40678.41721, 40678.50063, 40678.58477, 
40678.66763, 40678.75064, 40678.8347, 40678.91882, 40679.00051, 
40679.08485, 40679.1673, 40679.25056, 40679.33395, 40679.4175, 
40679.5005, 40679.58382, 40679.66828, 40679.75198, 40679.83455, 
40679.91731, 40680.00056, 40680.0839, 40680.16697, 40680.2503, 
40680.33389, 40680.41728, 40680.50118, 40680.58395, 40680.66856, 
40680.75061, 40680.83544, 40680.91764, 40681.00081, 40681.0839, 
40681.16722, 40681.25049, 40681.33382, 40681.41715, 40681.50066, 
40681.58431, 40681.66723, 40681.75075, 40681.83448, 40681.9175, 
40682.00074, 40682.08396, 40682.16828, 40682.25071, 40682.33396, 
40682.41728, 40682.50057, 40682.58383, 40682.66708, 40682.75057, 
40682.8352, 40682.91721, 40683.00071, 40683.08426, 40683.16729, 
40683.25063, 40683.33396, 40683.41757, 40683.50061, 40683.58385, 
40683.66728, 40683.75072, 40683.83424, 40683.91725, 40684.00057, 
40684.08398, 40684.16757, 40684.25123, 40684.33411, 40684.41756, 
40684.50063, 40684.58469, 40684.66797, 40684.75056, 40684.83515, 
40684.9175, 40685.00056, 40685.08363, 40685.16725, 40685.25111, 
40685.33431, 40685.41774, 40685.50063, 40685.58388, 40685.66763, 
40685.75057, 40685.83383, 40685.91729, 40686.0009, 40686.08388, 
40686.16729, 40686.25097, 40686.33417, 40686.41816, 40686.50096, 
40686.58384, 40686.66742, 40686.75056, 40686.83424, 40686.91728, 
40687.0009, 40687.08424, 40687.16721, 40687.25096, 40687.33382, 
40687.41728, 40687.50064, 40687.58407, 40687.66826, 40687.75047, 
40687.83448, 40687.91797, 40688.00061, 40688.08384, 40688.16735, 
40688.25153, 40688.33396, 40688.41764, 40688.58465, 40688.66817, 
40688.75083, 40688.83455, 40688.91764, 40689.00096, 40689.08425, 
40689.16745, 40689.25059, 40689.33451, 40689.41782, 40689.50063, 
40689.58411, 40689.66735, 40689.75097, 40689.83431, 40689.91878, 
40690.0019, 40690.08403, 40690.16769, 40690.25049, 40690.33396, 
40690.41748, 40690.50056, 40690.58395, 40690.66764, 40690.75113, 
40690.83462, 40690.9173, 40691.00057, 40691.0837, 40691.16729, 
40691.25097, 40691.33448, 40691.41782, 40691.50061, 40691.58397, 
40691.66818, 40691.75059, 40691.8347, 40691.91725, 40692.00118, 
40692.08404, 40692.16784, 40692.25189, 40692.33422, 40692.41866, 
40692.50097, 40692.58546, 40692.66756, 40692.75125, 40692.83431, 
40692.91729, 40693.00122, 40693.08399, 40693.16756, 40693.25082, 
40693.33381)), .Names = "DateTimeNumber", class = "data.frame", row.names = c(NA, 
-999L)) 

head() и dim() которых находятся ниже

head(one) 
     DateTimeNumber 
1 40603.917289999997593 
2 40604.000560000000405 
3 40604.083809999996447 
4 40604.167289999997593 
5 40604.250579999999900 
6 40604.333749999997963 

dim(one) 
[1] 999 1 

Вторая таблица имеет стартовый номер DateTime и номер Конец DateTime, а также уникальный идентификатор и может быть найден здесь.

two <- structure(list(ClstrID = structure(c(1L, 2L, 3L, 4L, 6L, 5L, 
7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 
20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 
34L, 33L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 
46L, 47L, 52L, 49L, 50L, 51L, 48L, 53L, 54L, 55L, 57L, 56L, 58L, 
59L, 60L, 61L, 63L, 62L, 65L, 64L, 66L, 67L, 68L, 69L, 70L, 72L, 
71L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 82L, 81L, 83L, 84L, 
85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 
98L, 99L, 100L, 101L, 102L, 104L, 103L, 122L, 105L, 106L, 107L, 
108L, 109L, 115L, 110L, 111L, 112L, 113L, 114L, 116L, 119L, 118L, 
117L, 120L, 121L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 
131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 
142L, 143L, 144L, 145L, 146L, 147L, 148L, 150L, 149L, 151L, 152L, 
153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 
164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L 
), .Label = c("ClstrColoP01_001", "ClstrColoP01_002", "ClstrColoP01_003", 
"ClstrColoP01_004", "ClstrColoP01_005", "ClstrColoP01_006", "ClstrColoP01_007", 
"ClstrColoP01_008", "ClstrColoP01_009", "ClstrColoP01_010", "ClstrColoP01_011", 
"ClstrColoP01_012", "ClstrColoP01_013", "ClstrColoP01_014", "ClstrColoP01_015", 
"ClstrColoP01_016", "ClstrColoP01_017", "ClstrColoP01_018", "ClstrColoP01_019", 
"ClstrColoP01_020", "ClstrColoP01_021", "ClstrColoP01_022", "ClstrColoP01_023", 
"ClstrColoP01_024", "ClstrColoP01_025", "ClstrColoP01_026", "ClstrColoP01_027", 
"ClstrColoP01_028", "ClstrColoP01_029", "ClstrColoP01_030", "ClstrColoP01_031", 
"ClstrColoP01_032", "ClstrColoP01_033", "ClstrColoP01_034", "ClstrColoP01_035", 
"ClstrColoP01_036", "ClstrColoP01_037", "ClstrColoP01_038", "ClstrColoP01_039", 
"ClstrColoP01_040", "ClstrColoP01_041", "ClstrColoP01_042", "ClstrColoP01_043", 
"ClstrColoP01_044", "ClstrColoP01_045", "ClstrColoP01_046", "ClstrColoP01_047", 
"ClstrColoP01_048", "ClstrColoP01_049", "ClstrColoP01_050", "ClstrColoP01_051", 
"ClstrColoP01_052", "ClstrColoP01_053", "ClstrColoP01_054", "ClstrColoP01_055", 
"ClstrColoP01_056", "ClstrColoP01_057", "ClstrColoP01_058", "ClstrColoP01_059", 
"ClstrColoP01_060", "ClstrColoP01_061", "ClstrColoP01_062", "ClstrColoP01_063", 
"ClstrColoP01_064", "ClstrColoP01_065", "ClstrColoP01_066", "ClstrColoP01_067", 
"ClstrColoP01_068", "ClstrColoP01_069", "ClstrColoP01_070", "ClstrColoP01_071", 
"ClstrColoP01_072", "ClstrColoP01_073", "ClstrColoP01_074", "ClstrColoP01_075", 
"ClstrColoP01_076", "ClstrColoP01_077", "ClstrColoP01_078", "ClstrColoP01_079", 
"ClstrColoP01_080", "ClstrColoP01_081", "ClstrColoP01_082", "ClstrColoP01_083", 
"ClstrColoP01_084", "ClstrColoP01_085", "ClstrColoP01_086", "ClstrColoP01_087", 
"ClstrColoP01_088", "ClstrColoP01_089", "ClstrColoP01_090", "ClstrColoP01_091", 
"ClstrColoP01_092", "ClstrColoP01_093", "ClstrColoP01_094", "ClstrColoP01_095", 
"ClstrColoP01_096", "ClstrColoP01_097", "ClstrColoP01_098", "ClstrColoP01_099", 
"ClstrColoP01_100", "ClstrColoP01_101", "ClstrColoP01_102", "ClstrColoP01_103", 
"ClstrColoP01_104", "ClstrColoP01_105", "ClstrColoP01_106", "ClstrColoP01_107", 
"ClstrColoP01_108", "ClstrColoP01_109", "ClstrColoP01_110", "ClstrColoP01_111", 
"ClstrColoP01_112", "ClstrColoP01_113", "ClstrColoP01_114", "ClstrColoP01_115", 
"ClstrColoP01_116", "ClstrColoP01_117", "ClstrColoP01_118", "ClstrColoP01_119", 
"ClstrColoP01_120", "ClstrColoP01_121", "ClstrColoP01_122", "ClstrColoP01_123", 
"ClstrColoP01_124", "ClstrColoP01_125", "ClstrColoP01_126", "ClstrColoP01_127", 
"ClstrColoP01_128", "ClstrColoP01_129", "ClstrColoP01_130", "ClstrColoP01_131", 
"ClstrColoP01_132", "ClstrColoP01_133", "ClstrColoP01_134", "ClstrColoP01_135", 
"ClstrColoP01_136", "ClstrColoP01_137", "ClstrColoP01_138", "ClstrColoP01_139", 
"ClstrColoP01_140", "ClstrColoP01_141", "ClstrColoP01_142", "ClstrColoP01_143", 
"ClstrColoP01_144", "ClstrColoP01_145", "ClstrColoP01_146", "ClstrColoP01_147", 
"ClstrColoP01_148", "ClstrColoP01_149", "ClstrColoP01_150", "ClstrColoP01_151", 
"ClstrColoP01_152", "ClstrColoP01_153", "ClstrColoP01_154", "ClstrColoP01_155", 
"ClstrColoP01_156", "ClstrColoP01_157", "ClstrColoP01_158", "ClstrColoP01_159", 
"ClstrColoP01_160", "ClstrColoP01_161", "ClstrColoP01_162", "ClstrColoP01_163", 
"ClstrColoP01_164", "ClstrColoP01_165", "ClstrColoP01_166", "ClstrColoP01_167", 
"ClstrColoP01_168", "ClstrColoP01_169", "ClstrColoP01_170", "ClstrColoP01_171", 
"ClstrColoP01_172", "ClstrColoP01_173", "ClstrColoP01_174"), class = "factor"), 
    StartTime = c(40606.25061, 40613.33383, 40615.33381, 40616.00153, 
    40616.33428, 40616.41718, 40617.83499, 40619.33395, 40620.1675, 
    40620.1675, 40621.41763, 40621.50029, 40623.16725, 40626.41722, 
    40628.16791, 40629.25031, 40631.50061, 40634.00065, 40636.33382, 
    40637.25164, 40639.33382, 40645.33361, 40647.41722, 40650.41697, 
    40654.75097, 40662.25063, 40665.58383, 40672.16784, 40672.33392, 
    40673.50061, 40676.25063, 40679.33395, 40679.33395, 40682.58383, 
    40683.25063, 40683.25063, 40686.16729, 40687.16721, 40687.66826, 
    40689.16745, 40690.16769, 40690.16769, 40691.58397, 40694.1675, 
    40694.66792, 40697.41803, 40698.25054, 40701.8349, 40701.91763, 
    40701.91763, 40701.91763, 40704.50063, 40704.50063, 40706.5005, 
    40707.25153, 40709.16854, 40709.66792, 40711.0842, 40713.25049, 
    40715.33459, 40717.16815, 40717.83419, 40717.91738, 40720.16792, 
    40720.4177, 40721.08457, 40722.08534, 40723.25094, 40723.41721, 
    40725.16757, 40726.08416, 40726.41764, 40728.16756, 40731.00058, 
    40732.16718, 40733.50079, 40734.25069, 40734.83429, 40736.25082, 
    40737.33414, 40740.16718, 40740.33396, 40741.33417, 40742.58402, 
    40745.16764, 40747.25076, 40748.66868, 40751.16728, 40752.16801, 
    40755.33395, 40757.33396, 40758.25196, 40759.16733, 40760.25065, 
    40761.16715, 40763.25082, 40765.25122, 40766.08398, 40767.08502, 
    40770.25082, 40770.25082, 40773.16729, 40775.16729, 40775.3336, 
    40779.16737, 40780.75084, 40784.25118, 40785.16757, 40787.16787, 
    40788.41765, 40789.33449, 40789.41725, 40790.41747, 40793.33457, 
    40795.33396, 40796.08381, 40800.33484, 40805.25146, 40806.16756, 
    40806.33362, 40808.41763, 40808.66729, 40813.16731, 40814.0839, 
    40815.16728, 40816.2505, 40817.16715, 40818.25047, 40819.16706, 
    40821.08388, 40824.08396, 40828.33395, 40834.00063, 40835.25083, 
    40837.16714, 40837.25089, 40839.25096, 40841.58391, 40845.1678, 
    40846.25096, 40847.25049, 40848.00063, 40856.58451, 40863.41729, 
    40866.25061, 40866.41708, 40872.41741, 40874.41722, 40878.08443, 
    40878.33394, 40882.33451, 40886.3345, 40887.16882, 40890.08417, 
    40892.16723, 40893.16728, 40895.58416, 40899.25063, 40902.0009, 
    40902.25057, 40904.91693, 40913.16714, 40913.3336, 40915.08363, 
    40916.91749, 40917.6678, 40923.33388, 40924.25049, 40926.41731, 
    40942.08396, 40942.33416, 40942.33416, 40944.33398, 40948.25127 
    ), EndTime = c(40610.66742, 40614.50083, 40615.50058, 40616.16792, 
    40617.00083, 40616.50061, 40619.08395, 40619.50057, 40622.00096, 
    40622.00096, 40622.50082, 40622.25047, 40624.50089, 40626.75049, 
    40628.41738, 40629.50126, 40633.33388, 40636.25096, 40636.41714, 
    40637.41885, 40640.1675, 40645.41728, 40650.33389, 40651.50074, 
    40659.25049, 40664.08417, 40670.41729, 40672.25049, 40673.16737, 
    40675.16719, 40678.41721, 40682.50057, 40683.08426, 40683.08426, 
    40685.41774, 40685.41774, 40686.25097, 40687.33382, 40688.41764, 
    40690.08403, 40692.33422, 40690.33396, 40693.41797, 40694.66792, 
    40697.25047, 40698.08381, 40700.08396, 40704.33433, 40704.33433, 
    40704.33433, 40704.33433, 40706.33497, 40706.33497, 40707.16714, 
    40709.08457, 40710.16715, 40710.83464, 40713.16823, 40714.75108, 
    40716.91745, 40717.66883, 40719.58429, 40718.91804, 40720.33463, 
    40720.66725, 40721.66832, 40723.00063, 40723.335, 40723.50125, 
    40726.00056, 40726.16757, 40726.58424, 40729.16729, 40732.00124, 
    40732.25049, 40734.08389, 40734.66764, 40735.75066, 40736.50166, 
    40738.25132, 40740.25057, 40740.41718, 40742.50058, 40744.41833, 
    40745.25073, 40747.41698, 40750.33404, 40751.41803, 40752.41844, 
    40755.41771, 40758.08388, 40758.33464, 40759.41819, 40760.41794, 
    40762.08395, 40764.16728, 40765.33381, 40766.33431, 40768.08451, 
    40772.50161, 40772.50161, 40773.41763, 40776.16721, 40777.00096, 
    40779.50131, 40782.08429, 40784.33466, 40785.50065, 40787.33396, 
    40788.50091, 40790.08448, 40790.08448, 40792.50072, 40794.41721, 
    40795.58455, 40798.50096, 40802.50058, 40807.25035, 40806.25083, 
    40806.41694, 40808.50064, 40812.25051, 40813.25141, 40814.16694, 
    40815.33431, 40816.33411, 40818.16694, 40818.41722, 40819.25057, 
    40823.50061, 40825.41715, 40828.41729, 40836.00071, 40835.50061, 
    40837.41722, 40837.33422, 40839.33383, 40845.00082, 40845.25083, 
    40846.33449, 40847.50049, 40852.50125, 40860.00057, 40865.41697, 
    40866.33396, 40871.50064, 40872.50091, 40874.5003, 40878.16729, 
    40878.75047, 40884.50059, 40886.50064, 40888.00076, 40891.08429, 
    40892.41729, 40895.50097, 40896.25063, 40900.08458, 40902.16728, 
    40904.50082, 40910.41728, 40914.7505, 40915.0005, 40915.16821, 
    40917.16722, 40918.58431, 40923.50047, 40924.41725, 40936.08396, 
    40942.25054, 40942.50049, 40942.50049, 40947.75089, 40958.66853 
    )), .Names = c("ClstrID", "StartTime", "EndTime"), class = "data.frame", row.names = c(NA, 
-174L)) 

head() и dim() здесь.

head(two) 
      ClstrID StartTime EndTime 
1 ClstrColoP01_001 40606.25 40610.67 
2 ClstrColoP01_002 40613.33 40614.50 
3 ClstrColoP01_003 40615.33 40615.50 
4 ClstrColoP01_004 40616.00 40616.17 
5 ClstrColoP01_006 40616.33 40617.00 
6 ClstrColoP01_005 40616.42 40616.50 


    dim(two) 
    [1] 174 3 

Уведомления Есть много более последовательных DateTime-й в «одном», чем в «два».

Когда один серийный DateTime в объекте «один» между стартовым и конечным серийным DateTime объекта «два «Я пытаюсь добавить ClstrID от« двух »к« одному ». Говоря иначе, каждый серийный DateTime« one »должен иметь ClstrID« два », если между интервалом Start и End. Обратите внимание, однако, что не все одиночные числа DateTime попадают в число Start и End - многие одиночные числа будут за пределами временного интервала.

Также несколько DateTimes из «одного» будут падать в два разных временных интервала «два». '' Мой реальный набор данных значительно длиннее, и поэтому я пытаюсь построить его в цикле for() или функции(), который проверяет, является ли «один» серийный номер между ЛЮБОЙ (т.е. всеми строками) начала и конца интервалы «два» и, если да, добавляет соответствующий ClstrID к соответствующему порядковому номеру в «одном».

Используя код из предложений Джона на моем более раннем посту, я могу идентифицировать единую последовательную дату DateTime от «одной», которая находится между два серийные номер «два».

clstrID.ch <- as.character(two$ClstrID)  #Make clstr ID a charater 
f <- function(x){ 
    a <- clstrID.ch[ (two$StartTime <= x) & (x <= two$EndTime) ] 
    if (length(a) == 0) NA else a 
    } 
one$NewID <- lapply(one$DateTimeNumber, f) 

, но получают сообщения об ошибках уникальности моих перерывов, когда я использую cut() функция в коде

ценам ниже
cut(one$DateTimeNumber, breaks = c(2, two$EndTime), 
    labels = two$ClstrID, include.lowest = TRUE, right = TRUE) 

Ошибка ...

Ошибка в cut.default (один $ DateTimeNumber, брейки = C (2, две $ = Конечное), этикетки = два $ ClstrID,
'breaks' не являются уникальными

Очевидно, что я повторяю серийные номера DateTime.

Любые предложения будут оценены и очень помогут.

Спасибо.

+0

Здравствуйте, можно ли обрезать этот вопрос в более управляемый кусок? –

+0

Было бы лучше предоставить небольшой образец ваших данных непосредственно в вашем вопросе с помощью 'dput', а не всего файла данных для загрузки. – juba

+0

Это небольшой образец набора данных относительно моего всего набора данных. В предыдущем посте использовался макетный набор данных, отправленный через «dput». Я изначально начал работать с небольшим и создал этот пост. Если нужно, я могу обрезать это вниз. –

ответ

1

Вы не должны передавать повторяющиеся значения в аргумент breaks=cut. В этом случае есть 10 ...

length(two$EndTime) 
# [1] 174 
length(unique(two$EndTime)) 
# [1] 164 

Давайте посмотрим:

badrows <- which(duplicated(two$EndTime)) 
# [1] 10 34 36 49 50 51 53 101 112 172 
two$EndTime[badrows] 
# some values 

Таким образом, те повторяющиеся значения. Вектор отсортирован, поэтому первый экземпляр каждого из этих шоу вверх на ...

badrows - 1 
# [1] 9 33 35 48 49 50 52 100 111 171 

документация ?cut обсуждает, как его следует использовать. Ссылки на связанные функции находятся в нижней части этой страницы. Я думаю, что проблема высокого уровня, которую OP хочет решить, покрывается этими.

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