Значение в другом фрейме данных становится NA после того, как я использовал функцию left_join (). И я проверяю ответ здесь [ dplyr :: left_join производит значения NA для новых соединенных столбцов .
Я также указываю аргумент by
, но не удалось.
I не знаю почему.
qx_p2 <- structure(list(province = c("安徽", "安徽", "安徽", "安徽", "安徽"
), date = c("2020-01-21", "2020-01-22", "2020-01-23", "2020-01-24",
"2020-01-25"), PRS = c(1013.9035387141, 1011.48779584751, 1014.28302402211,
1019.16970261716, 1018.92203467498), PRS_Sea = c(1024.73084750567,
1022.22210612717, 1025.02632842026, 1029.97905104403, 1029.77650132275
), PRS_Max = c(1014.26828869048, 1011.80445613662, 1014.51628117914,
1019.43671957672, 1019.31935504063), PRS_Min = c(1013.7138513322,
1011.13447054516, 1013.86811271731, 1018.75406934996, 1018.62469257842
), WIN_S_Max = c(2.30187606292517, 2.08586132369615, 2.76893908257748,
4.22074853552532, 3.63427225056689), WIN_S_Inst_Max = c(3.44360343442933,
3.09963836923658, 4.28499952758881, 6.68930898053666, 5.80619165721844
), WIN_D_INST_Max = c(116.878029336735, 218.745851048753, 120.88310303288,
72.1640447845805, 72.0331526360544), WIN_D_Avg_2mi = c(116.23329724764,
210.524530689871, 113.104009452075, 68.7694017991261, 70.322008604388
), WIN_S_Avg_2mi = c(1.77558118386243, 1.49959490740741, 2.20936874055178,
3.47942613851096, 2.99431642101285), WIN_D_S_Max = c(116.68018866665,
218.180671371681, 120.40502999811, 71.0831467309146, 68.3670670351474
), TEM = c(3.81968088624339, 5.16464226662887, 6.82721856103553,
5.98099596088435, 4.8940626181028), TEM_Max = c(4.04776301492819,
5.35075514928193, 6.97597470238095, 6.15192401266062, 5.07960293839758
), TEM_Min = c(3.49020455404384, 4.95346053004535, 6.65049142573696,
5.85618067365835, 4.76455794123205), RHU = c(85.9359859221466,
96.1710766250945, 91.749678760393, 88.3347741874528, 80.693040202192
), VAP = c(6.98015376984127, 8.55406509826153, 9.08114866780046,
8.27843124055178, 6.98599714191232), RHU_Min = c(83.965092356387,
95.6411387471655, 90.9997401738473, 87.3134436413454, 79.2219635770975
), PRE_1h = c(0.102133763227513, 0.422205333522298, 1488.33246492347,
0.0715384070294785, 372.116791028911)), class = c("tbl_df", "tbl",
"data.frame"), row.names = c(NA, -5L))
covid_p2 <- structure(list(province = c("安徽", "安徽", "安徽", "安徽", "安徽"
), date = c("2020/1/21", "2020/1/22", "2020/1/23", "2020/1/24",
"2020/1/25"), 新增确诊 = c(0L, 1L, 14L, 24L, 21L)), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -5L))
dat2 <- covid_p2 %>% left_join(qx_p2, by = c('province' = 'province', 'date' = 'date'))
dat2