str(coord_mat)
List of 1
$ :List of 1
..$ : num [1:17, 1:2] -122 -122 -122 -122 -122 ...
我在coord_mat中有一个坐标对列表，我想将其转换为相同结构（第一列为lon，第二列为lat）的坐标对的数据帧（或矩阵）。
> coord_mat
[[1]]
[[1]][[1]]
[,1] [,2]
[1,] -122.3435 47.63787
[2,] -122.3435 47.63787
[3,] -122.3434 47.63787
[4,] -122.3434 47.63787
[5,] -122.3434 47.63787
[6,] -122.3434 47.63787
[7,] -122.3434 47.63787
[8,] -122.3434 47.63784
[9,] -122.3433 47.63777
[10,] -122.3430 47.63772
[11,] -122.3427 47.63778
[12,] -122.3425 47.63776
[13,] -122.3423 47.63749
[14,] -122.3421 47.63718
[15,] -122.3420 47.63700
[16,] -122.3419 47.63698
[17,] -122.3419 47.63698
在R中如何保持与列表相同的双列结构？
我尝试过matrix(unlist(coord_mat))，但这只会产生一个长度为34的长向量，该向量先是lon值，然后是lat值。是因为我正在使用列表列表吗？
> matrix(unlist(coord_mat))
[,1]
[1,] -122.34345
[2,] -122.34345
[3,] -122.34340
[4,] -122.34340
[5,] -122.34340
[6,] -122.34340
[7,] -122.34340
[8,] -122.34338
[9,] -122.34334
[10,] -122.34299
[11,] -122.34273
[12,] -122.34249
[13,] -122.34230
[14,] -122.34208
[15,] -122.34198
[16,] -122.34194
[17,] -122.34194
[18,] 47.63787
[19,] 47.63787
[20,] 47.63787
[21,] 47.63787
[22,] 47.63787
[23,] 47.63787
[24,] 47.63787
[25,] 47.63784
[26,] 47.63777
[27,] 47.63772
[28,] 47.63778
[29,] 47.63776
[30,] 47.63749
[31,] 47.63718
[32,] 47.63700
[33,] 47.63698
[34,] 47.63698
以下是数据：
dput(coord_mat)
list(list(structure(c(-122.34345, -122.34345, -122.343398333333,
-122.343398333333, -122.343398333333, -122.343398333333, -122.343398333333,
-122.343376666667, -122.34334, -122.342991666667, -122.342731666667,
-122.342491666667, -122.3423, -122.342081666667, -122.341983333333,
-122.341943333333, -122.341943333333, 47.6378716666667, 47.6378716666667,
47.6378683333333, 47.6378683333333, 47.6378683333333, 47.6378683333333,
47.6378683333333, 47.637835, 47.637775, 47.6377183333333, 47.63778,
47.63776, 47.6374916666667, 47.6371816666667, 47.6369966666667,
47.6369783333333, 47.6369783333333), .Dim = c(17L, 2L))))
答案 0 :(得分：3)
res <- coord_mat[[c(1, 1)]]
# or
res <- matrix(unlist(coord_mat), ncol = 2)
colnames(res) <- c("lon", "lat")
res
lon lat
[1,] -122.3435 47.63787
[2,] -122.3435 47.63787
[3,] -122.3434 47.63787
[4,] -122.3434 47.63787
[5,] -122.3434 47.63787
[6,] -122.3434 47.63787
[7,] -122.3434 47.63787
[8,] -122.3434 47.63784
[9,] -122.3433 47.63777
[10,] -122.3430 47.63772
[11,] -122.3427 47.63778
[12,] -122.3425 47.63776
[13,] -122.3423 47.63749
[14,] -122.3421 47.63718
[15,] -122.3420 47.63700
[16,] -122.3419 47.63698
[17,] -122.3419 47.63698