我有两个dataframe:
dput(head(catch,70))
structure(list(fldFinalLength = c(NA, 260L, NA, NA, 510L, 650L,
280L, 550L, NA, 550L, 320L, NA, NA, NA, 410L, 260L, NA, NA, NA,
330L, 670L, 890L, NA, NA, 1690L, NA, 240L, 470L, 420L, NA, 700L,
NA, 420L, NA, NA, 260L, 300L, 860L, 370L, NA, NA, 510L, 240L,
930L, NA, 730L, 730L, NA, 270L, NA, 780L, NA, 280L, 590L, 290L,
NA, NA, 410L, 350L, NA, NA, 1350L, 560L, 460L, 650L, 430L, NA,
NA, 560L, 360L), fldInitialLength = c(NA, 220L, NA, NA, 160L,
650L, 280L, 550L, NA, 290L, 320L, NA, NA, NA, 240L, 160L, NA,
NA, NA, 330L, 340L, 520L, NA, NA, 830L, NA, 240L, 230L, 230L,
NA, 340L, NA, 310L, NA, NA, 260L, 300L, 860L, 370L, NA, NA, 210L,
220L, 730L, NA, 730L, 730L, NA, 270L, NA, 170L, NA, 280L, 190L,
210L, NA, NA, 390L, 300L, NA, NA, 1350L, 220L, 250L, 380L, 430L,
NA, NA, 170L, 360L), fldCatchWeight = c(0.73, 0.672, 61.3, 0.34,
1.534, 0.934, 0.244, 2.55, 0.136, 13.784, 0.182, 0.27, 1.538,
0.116, 5.94, 0.284, 0.06, 1.064, 1.2, 0.342, 13.3, 167.34, 0.834,
23.08, 16.59, 0.286, 0.072, 1.24, 0.44, 0.052, 14.66, 6.36, 1.96,
7.48, 1.7, 0.092, 0.146, 3.73, 0.82, 9.54, 0.846, 3.492, 0.248,
16.13, 0.17, 1.87, 2.31, 0.084, 0.082, 0.344, 29.08, 3.248, 0.148,
4.916, 0.871, 0.27, 0.404, 1.028, 0.598, 10.27, 0.444, 7.82,
4.84, 3.712, 2.09, 0.454, 0.13, 4.93, 1.584, 0.568), fldMeasuringInterval = c(NA,
10L, NA, NA, 10L, 10L, 10L, 10L, NA, 10L, 10L, NA, NA, NA, 10L,
10L, NA, NA, NA, 10L, 10L, 10L, NA, NA, 10L, NA, 10L, 10L, 10L,
NA, 10L, NA, 10L, NA, NA, 10L, 10L, 10L, 10L, NA, NA, 10L, 10L,
10L, NA, 10L, 10L, NA, 10L, NA, 10L, NA, 10L, 10L, 10L, NA, NA,
10L, 10L, NA, NA, 10L, 10L, 10L, 10L, 10L, NA, NA, 10L, 10L),
fldMeasuringOperator = c(NA, "DFE", NA, NA, "DFE", "MSL",
"MSL", "MSL", NA, "MSL", "MSL", NA, NA, NA, "MSL", "DFE",
NA, NA, NA, "DFE", "DFE", "DFE", NA, NA, "DFE", NA, "DFE",
"DFE", "DFE", NA, "MSL", NA, "MSL", NA, NA, "MSL", "MSL",
"MSL", "MSL", NA, NA, "MSL", "MSL", "MSL", NA, "MSL", "MSL",
NA, "MSL", NA, "MSL", NA, "MSL", "DFE", "DFE", NA, NA, "DFE",
"DFE", NA, NA, "MSL", "MSL", "MSL", "MSL", "MSL", NA, NA,
"MSL", "MSL"), fldCruiseStationNumber = c(59L, 59L, 59L,
59L, 59L, 60L, 60L, 60L, 60L, 60L, 60L, 61L, 61L, 61L, 61L,
62L, 62L, 62L, 62L, 62L, 63L, 63L, 63L, 64L, 64L, 64L, 64L,
64L, 64L, 65L, 65L, 65L, 65L, 66L, 66L, 66L, 66L, 66L, 66L,
66L, 66L, 66L, 66L, 66L, 67L, 67L, 67L, 67L, 67L, 67L, 67L,
67L, 67L, 70L, 70L, 70L, 70L, 70L, 70L, 71L, 71L, 71L, 71L,
71L, 71L, 71L, 71L, 71L, 71L, 71L), fldMainSpeciesCode = c("BEN",
"BIB", "BOF", "LSS", "WAF", "SMH", "TBR", "WAF", "WHB", "WHG",
"WIT", "BEN", "BOF", "CDT", "LEM", "MEG", "NEP", "NEP", "PLA",
"SOL", "DGS", "DGS", "GFB", "BOF", "COE", "CTC", "CUR", "CUR",
"DGS", "NEP", "WAF", "WHB", "WIT", "BEN", "BOF", "CUR", "CUR",
"DFL", "JOD", "LSS", "MAC", "MEG", "MEG", "SMH", "PLA", "RDS",
"RNS", "SDF", "SHR", "TUB", "WAF", "WHB", "WIT", "HKE", "LBI",
"LSS", "WHB", "WHG", "WIT", "BEN", "BOF", "COE", "CUR", "CUR",
"DFL", "DFL", "EDC", "GUG", "HKE", "LEM"), fldMainSpeciesCode.1 = c("BEN",
"BIB", "BOF", "LSS", "WAF", "SMH", "TBR", "WAF", "WHB", "WHG",
"WIT", "BEN", "BOF", "CDT", "LEM", "MEG", "NEP", "NEP", "PLA",
"SOL", "DGS", "DGS", "GFB", "BOF", "COE", "CTC", "CUR", "CUR",
"DGS", "NEP", "WAF", "WHB", "WIT", "BEN", "BOF", "CUR", "CUR",
"DFL", "JOD", "LSS", "MAC", "MEG", "MEG", "SMH", "PLA", "RDS",
"RNS", "SDF", "SHR", "TUB", "WAF", "WHB", "WIT", "HKE", "LBI",
"LSS", "WHB", "WHG", "WIT", "BEN", "BOF", "COE", "CUR", "CUR",
"DFL", "DFL", "EDC", "GUG", "HKE", "LEM")), row.names = c(NA,
70L), class = "data.frame")
dput(head(days_IAMS2023,13))
structure(list(fldDateTimeShot = c("24 February 2023", "24 February 2023",
"24 February 2023", "24 February 2023", "24 February 2023", "25 February 2023",
"25 February 2023", "25 February 2023", "25 February 2023", "25 February 2023",
"26 February 2023", "26 February 2023", "27 February 2023"),
fldCruiseStationNumber = 59:71), row.names = c(NA, 13L), class = "data.frame")
两者都有fldCruiseStationNumber列。
我想用dataframe days_IAMS2023
在所有的dataframe catch
的fldCruiseStationNumber中重复fldDateTimeShot这几天,我的难点是它们的行数不一样。
任何帮助都非常感谢。
1条答案
按热度按时间mw3dktmi1#
使用left_join:
下面是生成的data.frame的示例: