我有2个数据框...
第一个数据帧{"spi:action": "OSLC draft",
"spi:tri1readingdate":"2020-01-30T16:48:33+01:00",
"spi:tryassetmeterid":0,
"spi:install":0.0,
"spi:lastreadingTx":"1,150",
"spi:intrdngtrX":0.0,
and so on...}
看起来像这样
mapoc_temp第二个数据帧
month year ave
1 Jan 2016 6.529222
2 Jan 2017 5.720514
3 Jan 2018 5.786351
4 Feb 2016 6.435445
5 Feb 2017 5.817282
6 Feb 2018 5.790529
7 Mar 2016 6.505259
8 Mar 2017 5.852279
9 Mar 2018 5.683220
10 Apr 2016 6.525603
11 Apr 2017 5.769720
12 Apr 2018 5.762235
13 May 2016 6.425552
14 May 2017 5.855167
15 May 2018 5.778975
16 June 2016 6.488962
17 June 2017 5.871033
18 June 2018 5.720514
mapoc_temp = structure(list(month = structure(c(1L, 1L, 1L, 2L, 2L, 2L), .Label = c("Jan",
"Feb", "Mar", "Apr", "May", "June", "Jul", "Aug", "Sept", "Oct",
"Nov", "Dec"), class = "factor"), year = c(2016, 2017, 2018,
2016, 2017, 2018), ave = c(6.52922242976571, 5.72051368352674,
5.78635119450037, 6.43544457584707, 5.81728212255571, 5.79052889374
)), row.names = c(NA, -6L), class = c("grouped_df", "tbl_df",
"tbl", "data.frame"), groups = structure(list(month = structure(1:2, .Label = c("Jan",
"Feb", "Mar", "Apr", "May", "June", "Jul", "Aug", "Sept", "Oct",
"Nov", "Dec"), class = "factor"), .rows = list(1:3, 4:6)), row.names = c(NA,
-2L), class = c("tbl_df", "tbl", "data.frame"), .drop = TRUE))
看起来像这样
individual_dets我想从individual_dets = structure(list(location = c("ARB-04", "BIRCHY HEAD", "Boca1",
"BON-AR-S2", "BON-AR-S2", "BON-W-S5"), month = structure(c(12L,
10L, 10L, 8L, 11L, 2L), .Label = c("Jan", "Feb", "Mar", "Apr",
"May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"), class = c("ordered",
"factor")), year = c(2018, 2018, 2018, 2018, 2018, 2018), detection_count = c(3L,
256L, 2L, 4L, 2L, 2L), num_unique_tags = c(1L, 1L, 1L, 1L, 1L,
1L), total_res_time_in_seconds = c(0, 1182040, 0, 2732221, 0,
0), latitude = c(24.94808, 44.5713, 26.32559, -49.27732, -49.27732,
-49.27985), longitude = c(-80.45412, -64.03512, -80.07108, 69.48038,
69.48038, 69.47853), zone = structure(c(4L, 4L, 4L, 4L, 4L, 4L
), .Label = c("1", "2", "3", "4"), class = "factor"), ave_temp = c(5.740993,
5.855167, 5.855167, 5.852279, 5.871033, 5.790529)), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -6L), groups = structure(list(
month = structure(c(2L, 8L, 10L, 11L, 12L), .Label = c("Jan",
"Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct",
"Nov", "Dec"), class = c("ordered", "factor")), .rows = list(
6L, 4L, 2:3, 5L, 1L)), row.names = c(NA, -5L), class = c("tbl_df",
"tbl", "data.frame"), .drop = TRUE))
数据框中的ave列中获取值，并确保将这些值分配给mapoc_dets中的相应月份和年份
我尝试使用以下代码，但我希望有人可能知道如何缩短此代码
individual_dets答案 0 :(得分：0)
ungroup设置了数据集并将列转换为要合并到同一class之后，我们可以使用left_join
library(dplyr)
out <- individual_dets %>%
ungroup %>%
mutate(month = as.character(month)) %>%
left_join(mapoc_temp %>%
ungroup %>%
mutate(month = as.character(month)), by = c("year", "month") )