(d) 想知道如何将数据框架转换成 R. 中的数据阵列。 框架由 16 列和 & gt; 100 行组成。 每行代表一个人( snail) 。 我确实在每只蜗牛上设置了8个地标。 所以现在我已经有了 16 个坐标/ 个体。 没有我想要将数据转换成一个阵列。 设置于此阵列中, 每个人获得自己的矩阵, 所有人都被组合在一个( 大) 阵列中。
我的数据看起来是这样的:6个人,有8个地标 aka 16 坐标( X& Y)
X1.Lms Y1.Lms X2.Lms Y2.Lms X3.Lms Y3.Lms X4.Lms Y4.Lms X5.Lms Y5.Lms X6.Lms Y6.Lms X7.Lms Y7.Lms X8.Lms Y8.Lms
1 132500000 132500000 114500000 132000000 150100000 121500000 97600000 123500000 164700000 107800000 77600000 110400000 181600000 81700000 NA NA
2 135700000 150900000 114100000 152000000 147500000 142500000 96900000 143800000 161900000 128600000 78300000 131200000 178000000 100500000 NA NA
3 134100000 136900000 113700000 135400000 148700000 129900000 99600000 127800000 164700000 115900000 76600000 115100000 183600000 87600000 NA NA
4 137400000 147100000 119500000 145600000 149500000 143000000 102400000 136800000 169400000 128200000 84000000 123400000 186700000 106000000 NA NA
5 141300000 144200000 115800000 141300000 154000000 135800000 103900000 132700000 171300000 122400000 83600000 120800000 NA NA NA NA
6 136300000 153700000 118100000 150200000 151700000 146900000 105500000 143700000 168400000 135200000 83600000 132000000 188900000 111600000 NA NA
您可以输入 :
sample <- structure(list(X1.Lms = c(132500000L, 135700000L, 134100000L, 137400000L, 141300000L, 136300000L), Y1.Lms = c(132500000L, 150900000L, 136900000L, 147100000L, 144200000L, 153700000L), X2.Lms = c(114500000L, 114100000L, 113700000L, 119500000L, 115800000L, 118100000L), Y2.Lms = c(132000000L, 152000000L, 135400000L, 145600000L, 141300000L, 150200000L), X3.Lms = c(150100000L, 147500000L, 148700000L, 149500000L, 154000000L, 151700000L), Y3.Lms = c(121500000L, 142500000L, 129900000L, 143000000L, 135800000L, 146900000L ), X4.Lms = c(97600000L, 96900000L, 99600000L, 102400000L, 103900000L, 105500000L), Y4.Lms = c(123500000L, 143800000L, 127800000L, 136800000L, 132700000L, 143700000L), X5.Lms = c(164700000L, 161900000L, 164700000L, 169400000L, 171300000L, 168400000L ), Y5.Lms = c(107800000L, 128600000L, 115900000L, 128200000L, 122400000L, 135200000L), X6.Lms = c(77600000L, 78300000L, 76600000L, 84000000L, 83600000L, 83600000L), Y6.Lms = c(110400000L, 131200000L, 115100000L, 123400000L, 120800000L, 132000000L ), X7.Lms = c(181600000L, 178000000L, 183600000L, 186700000L, NA, 188900000L), Y7.Lms = c(81700000L, 100500000L, 87600000L, 106000000L, NA, 111600000L), X8.Lms = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_), Y8.Lms = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_ )), .Names = c("X1.Lms", "Y1.Lms", "X2.Lms", "Y2.Lms", "X3.Lms", "Y3.Lms", "X4.Lms", "Y4.Lms", "X5.Lms", "Y5.Lms", "X6.Lms", "Y6.Lms", "X7.Lms", "Y7.Lms", "X8.Lms", "Y8.Lms"), row.names = c(NA, 6L ), class = "data.frame")
或者我把代码 < a href=>" "http://pastebin.com/ 0ks3p2sk" rel="no follow" > on pastebin .
的“ 形状” 包中, 每一个坐标( X1. S & amp; Y1. S) 本身是一个矩阵。 也就是说, 尺寸必须是 8 x 2 x n. n 的大小是原始数据框中的行数 。
install.packages("shapes")
library(shapes)
data(gorf.dat)
gorf.dat
数据按具有尺寸的数组(8 x 2 x n)排列。
, , 1
[,1] [,2]
[1,] 5 193
[2,] 53 -27
[3,] 0 0
[4,] 0 33
[5,] -2 105
[6,] 18 176
[7,] 72 114
[8,] 92 38
, , 2
[,1] [,2]
[1,] 51 191
[2,] 55 -31
[3,] 0 0
[4,] 0 33
[5,] 25 106
[6,] 56 171
[7,] 98 105
[8,] 99 15
, , 3
[,1] [,2]
[1,] 36 187
[2,] 59 -31
[3,] 0 0
[4,] 0 36
[5,] 12 102
[6,] 38 171
[7,] 91 103
[8,] 100 19
等... 等... 等... 等... 等...
i ve tried with x <- as.array(sample, dim=...) but i m not able to find a solution so far. i guess i have to try something similar thant the transpose function in ms excel.
greetings, luke
你重新回答很有帮助, 但我猜你误会了我。 第一个人有8个Landmarks, 坐标16(X1, Y1, X2, Y2, X2, X3, Y3, Y3....),
, , 1
[,1] [,2]
132500000 132500000
114500000 132000000
150100000 121500000
97600000 123500000
164700000 107800000
77600000 110400000
181600000 81700000
NA NA
, , 2
[,1] [,2]
135700000 150900000
114100000 152000000
147500000 142500000
969000000 143800000
161900000 128600000
78300000 131200000
178000000 100500000
NA NA
第一行(aka first case)有8个带有16个坐标的Landmarks。 之后所有标记都应储存在一个矩阵中。 之后,我想将所有案例( & gt; 100)合并成一个阵列, 每个人在那里都有自己的矩阵。
感谢迅速回应的人!