output1 <- output1 <- structure(list(row = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 214L, 214L,214L), col = c(17L, 17L, 17L, 17L, 17L, 17L, 16L, 110L, 111L,111L), cell = c(0L, 0L, 0L, 0L, 0L, 0L, 1L, 27244L, 27245L, 27245L), xcoord = c(783750L, 783750L, 783750L, 783750L, 783750L, 783750L,783725L, 786075L, 786100L, 786100L), ycoord = c(187050L, 187050L,187050L, 187050L, 187050L, 187050L, 187025L, 181725L, 181725L,181725L), species = structure(c(1L, 1L, 1L, 8L, 9L, 11L, 1L,3L, 3L, 3L), .Label = c("abiealba", "alnuinca", "alnuviri", "betupend","betupube", "fagusilv", "larideci", "piceabie", "pinucemb", "pinusilv","popunigr", "poputrem", "salicapr", "sorbaucu"), class = "factor"),age = c(100L, 20L, 10L, 100L, 100L, 100L, 100L, 30L, 70L,30L), biomass = c(0.1015, 0.0152, 0.0127, 0.5391, 0.02, 0.1584,0.1019, 0.0114, 0.0115, 0.0114), stems = c(1L, 10L, 10L,20L, 5L, 3L, 4L, 15L, 2L, 10L), slowGrowth = c(0L, 0L, 0L,0L, 14L, 0L, 0L, 0L, 0L, 0L), DBH = c(17.9273, 8.831, 8.2681,34.9717, 9.7366, 18.9254, 17.9523, 6.6486, 6.6793, 6.6486), height = c(14.0924, 8.0258, 7.625, 23.4468, 8.0478, 13.6345,14.1081, 3.6519, 3.6552, 3.6519), availableLight = c(0.0934,0.0807, 0.071, 0.4742, 0.0887, 0.101, 0.0985, 0.958, 0.9952,0.9624), light_rf = c(0.2619, 0.2067, 0.1708, 0.6971, 0.063,0.1049, 0.2896, 0.9768, 0.9972, 0.9793), LeafArea = c(5.4506,5.4506, 5.4506, 5.4506, 5.4506, 5.4506, 5.2884, 0.2307, 0.1732,0.1732), nitorgen_rf = c(0, 0, 0, 0, 0.1328, 0, 0, 0, 0,0), droughtIndex = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), moisture_rf = c(1,1, 1, 1, 1, 1, 1, 1, 1, 1), degreeDay_rf = c(0.258, 0.258,0.258, 0.4726, 0.5144, 0.237, 0.258, 0.1125, 0.1125, 0.1125), foliageWght = c(0.0093, 0.0031, 0.0028, 0.0265, 0.0036,0.0023, 0.0094, 5e-04, 5e-04, 5e-04), twigWght = c(0.0537,0.0115, 0.0096, 0.0513, 0.0149, 0.0847, 0.0538, 0.0109, 0.011,0.0109), boleWght = c(0.0384, 6e-04, 3e-04, 0.4613, 0.0015,0.0713, 0.0387, 0, 0, 0), deadFoliage = c(0.405, 0.405, 0.405,0.405, 0.405, 0.405, 0.3664, 0.0627, 0.0534, 0.0534), deadTwig = c(0.9887,0.9887, 0.9887, 0.9887, 0.9887, 0.9887, 0.9537, 0.7391, 0.8132,0.8132), deadbole = c(2.3166, 2.3166, 2.3166, 2.3166, 2.3166,2.3166, 2.3947, 0, 0, 0)), .Names = c("row", "col", "cell","xcoord", "ycoord", "species", "age", "biomass", "stems", "slowGrowth","DBH", "height", "availableLight", "light_rf", "LeafArea", "nitorgen_rf","droughtIndex", "moisture_rf", "degreeDay_rf", "foliageWght","twigWght", "boleWght", "deadFoliage", "deadTwig", "deadbole"), row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 131023L, 131024L,131025L), class = "data.frame")
和
Details <- structure(list(fireID = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 1052L,1052L, 1052L), decade = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 100L, 100L,100L), cell = c(14150L, 14321L, 14320L, 14489L, 14323L, 13977L,14492L, 14461L, 14122L, 14123L), row = c(128L, 129L, 129L, 130L,129L, 127L, 130L, 130L, 128L, 128L), column = c(137L, 137L, 136L,135L, 139L, 136L, 138L, 107L, 109L, 110L), biomass = c(0.724241,0.652821, 0.776811, 0.860563, 0.649643, 0.751143, 0.760428, 20.5968,33.6653, 15.1725)), .Names = c("fireID", "decade", "cell", "row","column", "biomass"), row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L,12896L, 12897L, 12898L), class = "data.frame")
我想按行和列匹配这两个数据集。实际上，我是用
做的aa <- merge.data.frame(Details, output1, by=c("cell","row"))
但问题是output1中有很多行具有相同的坐标。但是我只想在details输出中为每一行获取一个坐标。
有什么建议吗？ 提前谢谢。
答案 0 :(得分：1)
如果我正确理解了这个问题，你需要这样的事情：
is_admin==2我没有删除行和单元格的唯一组合，因为我认为单元格在您的分析中起作用，因为您在合并中使用它。否则：
aa <- aa[!duplicated(aa[c("row", "cell")]), ]