我有以下tibble对象：
dt t uuid data
<date> <S3: hms> <chr> <list>
2018-06-23 18:25:24 0b27ea5fad61c99d <tibble>
2018-06-23 18:25:38 0b27ea5fad61c99d <tibble>
2018-06-23 18:26:01 0b27ea5fad61c99d <tibble>
第一个观察的dput版本用于说明：
structure(list(dt = structure(17705, class = "Date"), t = structure(66324, class = c("hms",
"difftime"), units = "secs"), uuid = "0b27ea5fad61c99d", data = list(
structure(list(Date = structure(c(17689, 17689, 17689, 17690,
17690, 17690, 17690, 17690, 17690, 17691, 17691, 17691, 17691,
17691, 17691, 17691, 17691, 17691, 17692, 17692, 17692, 17692,
17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692,
17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692,
17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692,
17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692,
17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692, 17692,
17692, 17692, 17692, 17692, 17692, 17692, 17692, 17693, 17693,
17693, 17693, 17693, 17693, 17693, 17693, 17693, 17693, 17693,
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17693, 17693, 17693, 17693, 17693, 17693, 17693, 17693, 17693,
17693, 17693, 17693, 17693, 17693, 17693, 17693, 17693, 17694,
17694, 17694, 17694, 17694, 17694, 17694, 17694, 17694, 17694,
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17703, 17703, 17703, 17703, 17703, 17703, 17703, 17703, 17703,
17703, 17703, 17703, 17703, 17703, 17703, 17703, 17703, 17703,
17703, 17703, 17703, 17703, 17703, 17703, 17703, 17703, 17703,
17703, 17703, 17703, 17703, 17703, 17703, 17703, 17703, 17703,
17704, 17704, 17704, 17704, 17704, 17704, 17704, 17704, 17704,
17704), class = "Date"), Time = structure(c(76180, 77415,
84620, 27900, 28132, 29396, 32914, 32962, 54105, 75066, 79109,
79761, 79810, 79700, 80245, 80229, 80282, 80322, 14443, 23356,
24693, 24752, 25133, 28226, 28764, 29110, 29134, 29159, 29267,
33427, 34404, 34617, 34763, 35866, 35974, 36719, 39145, 38499,
39852, 39975, 40289, 40576, 41567, 43894, 44953, 45555, 46226,
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58583, 58971, 59210, 61133, 61648, 62976, 63472, 63972, 67364,
25886, 27299, 27850, 28049, 28594, 32058, 32357, 32462, 32557,
32509, 35118, 35263, 35290, 37042, 38741, 40548, 40828, 42071,
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54255, 55184, 56594, 57074, 57448, 57854, 58102, 58116, 58382,
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68770, 74236, 1897, 28879, 30194, 30570, 45975, 53719, 53738,
57533, 58730, 69699), class = c("hms", "difftime"), units = "secs"),
phone_number = c(22881, 74049, 74049, 22881, 22881, 22881,
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11980, 86411, 0, 60397, 22881, 22881, 51122, 1050, 78335,
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22881, 22881, 22881, 22881, 1050, 1050, 84091, 84091,
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86882, 61195, 86882, 61195, 13077, 61195, 61195, 86882,
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61195, 61195, 84219, 0, 95422, 22881, 22881, 22881, 90849,
22881, 22881, 22881, 11980, 22881), isInContact = c(TRUE,
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FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE), callDuration = c(1, 0, 0, 71,
13, 54, 0, 315, 135, 87, 34, 0, 0, 233, 0, 3249, 3193,
3142, 10, 11, 0, 117, 0, 59, 137, 0, 0, 0, 1, 33, 27,
85, 0, 7, 145, 23, 0, 1039, 25, 305, 0, 0, 35, 58, 21,
110, 0, 0, 0, 0, 0, 601, 98, 228, 349, 0, 526, 1045,
0, 5, 515, 167, 76, 30, 0, 65, 112, 100, 0, 215, 362,
0, 301, 109, 1379, 0, 199, 532, 10, 8, 83, 0, 0, 1563,
130, 23, 116, 0, 0, 0, 505, 146, 71, 0, 17, 107, 0, 0,
732, 670, 0, 0, 0, 32, 0, 0, 280, 0, 61, 0, 0, 21, 34,
68, 126, 0, 0, 49, 81, 12, 0, 0, 35, 196, 16, 0, 33,
0, 24, 88, 181, 0, 0, 24, 146, 163, 10, 0, 87, 52, 24,
1208, 946, 0, 0, 0, 24, 0, 0, 0, 82, 48, 130, 1769, 0,
0, 242, 52, 209, 35, 0, 0, 567, 0, 126, 900, 0, 0, 257,
93, 95, 8, 17, 33, 0, 23, 15, 237, 116, 25, 16, 56, 6,
0, 619, 119, 0, 163, 0, 73, 107, 154, 0, 56, 0, 0, 58,
44, 0, 0, 43, 0, 29, 27, 0, 0, 0, 0, 0, 7, 0, 15, 60,
0, 66, 52, 11, 53, 79, 106, 0, 0, 112, 872, 0, 308, 0,
0, 0, 172, 0, 0, 0, 0, 0, 39, 18, 126, 39, 0, 34, 0,
48, 1462, 56, 0, 0, 105, 300, 0, 27, 75, 22, 51, 38,
71, 0, 0, 20, 0, 24, 7, 0, 0, 0, 19, 0, 0, 0, 16, 232,
74, 66, 108, 272, 0, 695, 25, 14, 25, 215, 0, 9, 183,
540, 6, 29, 0, 41, 51, 0, 8, 0, 22, 26, 29, 42, 0, 85,
8, 52, 107, 23, 14, 62, 0, 29, 0, 44, 91, 143, 15, 89,
144, 0, 0, 11, 69, 10, 106, 49, 65, 94, 33, 39, 0, 804,
17, 34, 0, 29, 61, 15, 38, 65, 62, 15, 58, 109, 394,
85, 17, 21, 91, 62, 8, 30, 0, 34, 83, 56, 121, 32, 88,
79, 0, 172, 101, 75, 0, 40, 35, 363, 44, 0, 111, 0, 0,
0, 33, 0, 100, 85, 0, 0, 0, 88, 528, 364, 0, 91, 31,
60, 162, 6, 0, 66, 34, 0, 0, 250, 501, 66, 18, 0, 46,
8, 71, 13, 71, 0, 38, 68, 0, 0, 0, 0, 0, 1040, 0, 17,
124, 0, 354, 60, 218, 0, 79, 109, 56, 0, 133, 653, 22,
0, 0, 14, 0, 105, 11, 0, 2, 220, 76, 174, 0, 24, 113,
22, 30, 269, 0, 925, 0, 16, 43, 26, 80, 0, 82, 0, 0,
110, 0, 0, 25, 17, 47, 19, 12, 0, 40, 21, 0, 27, 49,
0, 41, 0, 174, 0, 85, 36, 0, 0, 9, 0, 17, 0, 0, 35, 57,
150, 0, 133, 18, 0, 169, 129, 0, 0, 88, 62, 142, 433,
0, 4, 0, 1, 1)), .Names = c("Date", "Time", "phone_number",
"isInContact", "callDuration"), row.names = c(NA, -500L), class = c("tbl_df",
"tbl", "data.frame")))), .Names = c("dt", "t", "uuid", "data"
), row.names = c(NA, -1L), class = c("tbl_df", "tbl", "data.frame"
))
现在我要计算isInContact == 1的比例：
df %>% mutate(tmp = lapply(data, pull, var = isInContact),
prop_in_contact = mean(tmp == TRUE))
但是这行不通，请告诉我我在这里缺少什么？ 我想了解您的答案背后的原理和逻辑，以学习将来如何执行此类任务。 每次我尝试计算时，它的行为都会不同。
预期输出：
dt t uuid data data_is_in_contact_prop_TRUE
<date> <S3: hms> <chr> <list> <double>
2018-06-23 18:25:24 0b27ea5fad61c99d <tibble> 0.87
2018-06-23 18:25:38 0b27ea5fad61c99d <tibble> 0.01
2018-06-23 18:26:01 0b27ea5fad61c99d <tibble> 0.9
答案 0 :(得分：3)
这里有可能使用purrr::map_dbl
df %>%
mutate(frac_isInContact = map_dbl(
data,
~sum(.x$isInContact == TRUE) / length(.x$isInContact)))
## A tibble: 1 x 5
# dt t uuid data frac_isInContact
# <date> <time> <chr> <list> <dbl>
#1 2018-06-23 18:25 0b27ea5fad61c99d <tibble [500 × 5]> 0.878
说明：我们使用map_dbl来计算TRUE中data$isInContact个条目的分数。