我有一个嵌套列表,如下所示:
dput(head(tempList))
structure(list(Species = c("RandArcBo1", "RandArcBo1", "RandArcBo1",
"RandArcBo1", "RandArcBo1", "RandArcBo1", "RandArcBo1", "RandArcBo1",
"RandArcBo1", "RandArcBo1", "RandArcBo1", "RandArcBo1", "RandArcBo1",
"RandArcBo1", "RandArcBo1", "RandArcBo1"), x = c(132.5, 156.5,
178.5, 159.5, 166.5, 133.5, 103.5, 162.5, 165.5, 143.5, -163.5,
178.5, 151.5, 163.5, -120.5, -151.5), y = c(84.567321777, 83.567321777,
60.567321777, 77.567321777, 56.567321777, 74.567321777, 85.567321777,
70.567321777, 55.567321777, 74.567321777, 66.567321777, 72.567321777,
81.567321777, 53.567321777, 85.567321777, 76.567321777), Species = c("RandArcBo2",
"RandArcBo2", "RandArcBo2", "RandArcBo2", "RandArcBo2", "RandArcBo2",
"RandArcBo2", "RandArcBo2", "RandArcBo2", "RandArcBo2", "RandArcBo2",
"RandArcBo2", "RandArcBo2", "RandArcBo2", "RandArcBo2", "RandArcBo2"
), x = c(150.5, 121.5, 169.5, 174.5, 175.5, 153.5, -97.5, 169.5,
159.5, 166.5, -114.5, -92.5, -176.5, -167.5, 136.5, -133.5),
y = c(55.567321777, 76.567321777, 58.567321777, 80.567321777,
83.567321777, 82.567321777, 83.567321777, 57.567321777, 75.567321777,
55.567321777, 74.567321777, 77.567321777, 68.567321777, 67.567321777,
74.567321777, 70.567321777)), .Names = c("Species", "x",
"y", "Species", "x", "y"))
我想要的是将这些数据连接到具有三列的单个表中,“Species”,“x”和“y”(每行标有可重复的物种名称,后跟x,y坐标) 。 Cbind将第二个订单列表放在彼此相邻的列中,因此最终得到的列数等于3 *一阶对象的数量。 Rbind将第二个订单列表放入行中,这样我最终得到的列数等于第二个订单列表的长度。有什么建议吗?
答案 0 :(得分:3)
以下是一般方法:
data.frame(sapply(unique(names(tempList)),
function(name) do.call(c, tempList[names(tempList) == name]), simplify=FALSE)
)
答案 1 :(得分:0)
split
和unlist
对我来说似乎是最直截了当的方法:
out <- data.frame(lapply(split(tempList, names(tempList)),
unlist, use.names = FALSE))
head(out)
# Species x y
# 1 RandArcBo1 132.5 84.56732
# 2 RandArcBo1 156.5 83.56732
# 3 RandArcBo1 178.5 60.56732
# 4 RandArcBo1 159.5 77.56732
# 5 RandArcBo1 166.5 56.56732
# 6 RandArcBo1 133.5 74.56732
tail(out)
# Species x y
# 27 RandArcBo2 -114.5 74.56732
# 28 RandArcBo2 -92.5 77.56732
# 29 RandArcBo2 -176.5 68.56732
# 30 RandArcBo2 -167.5 67.56732
# 31 RandArcBo2 136.5 74.56732
# 32 RandArcBo2 -133.5 70.56732