Dear All
I am using the package Morpho in order to make some GM analyses but I
obtained some errors. Now I am trying to use the function read.csv.folder
I ran this command
a<-read.csv.folder("E:/Documents/Zan2", x = 2:44, y = 2:4, rownames = NULL,
header = TRUE, dec = ",", sep = ";", pattern = "csv", addSpec = NULL, back
= TRUE)
In the r console appeared my 5 files .csv (see below) with 43
landmarks/semilandmark in 3 dimensions for 5 individuals (0093, 0137, 0377,
1865, 1880)
Then I tried perform a Procrustes Analysis using this function: proc <-
ProcGPA(a) however this error appear: Error in addo(a3) : please provide 3D
numeric array
I feel that this error is related to my data array but I dont know how I
can solve this in order to run a GPA
thanks in advance, I appreciate any help you can give me.
cheers,
Pablo
$arr
, , 0093
X Y Z
1 3.30e+08 -1.08e+08 5.22e+08
2 2.94e+08 -5.35e+07 5.12e+08
3 2.76e+08 -7.79e+07 5.59e+08
4 3.13e+08 -1.37e+08 5.48e+08
5 3.21e+08 -1.35e+08 5.45e+08
6 3.27e+08 -1.33e+08 5.42e+08
7 3.32e+08 -1.30e+08 5.39e+08
8 3.36e+08 -1.28e+08 5.36e+08
9 3.38e+08 -1.25e+08 5.34e+08
10 3.39e+08 -1.23e+08 5.32e+08
11 3.39e+08 -1.20e+08 5.30e+08
12 3.37e+08 -1.17e+08 5.29e+08
13 3.33e+08 -1.14e+08 5.27e+08
14 3.29e+08 -9.43e+07 5.21e+08
15 3.30e+08 -9.20e+07 5.19e+08
16 3.31e+08 -8.92e+07 5.17e+08
17 3.31e+08 -8.59e+07 5.16e+08
18 3.30e+08 -8.20e+07 5.15e+08
19 3.28e+08 -7.77e+07 5.14e+08
20 3.24e+08 -7.33e+07 5.13e+08
21 3.19e+08 -6.86e+07 5.11e+08
22 3.12e+08 -6.36e+07 5.10e+08
23 3.04e+08 -5.84e+07 5.08e+08
24 2.84e+08 -4.42e+07 5.20e+08
25 2.81e+08 -4.40e+07 5.27e+08
26 2.79e+08 -4.37e+07 5.32e+08
27 2.78e+08 -4.28e+07 5.38e+08
28 2.77e+08 -4.35e+07 5.43e+08
29 2.76e+08 -4.60e+07 5.47e+08
30 2.76e+08 -4.93e+07 5.50e+08
31 2.75e+08 -5.34e+07 5.53e+08
32 2.76e+08 -5.83e+07 5.55e+08
33 2.76e+08 -6.43e+07 5.56e+08
34 2.83e+08 -8.41e+07 5.67e+08
35 2.85e+08 -8.59e+07 5.69e+08
36 2.87e+08 -8.77e+07 5.70e+08
37 2.89e+08 -8.99e+07 5.72e+08
38 2.91e+08 -9.27e+07 5.73e+08
39 2.93e+08 -9.67e+07 5.74e+08
40 2.96e+08 -1.02e+08 5.74e+08
41 2.97e+08 -1.09e+08 5.73e+08
42 2.97e+08 -1.17e+08 5.69e+08
43 2.96e+08 -1.26e+08 5.65e+08
, , 0137
X Y Z
1 5.31e+08 56600000 1.45e+08
2 5.64e+08 -3300000 1.47e+08
3 5.85e+08 21900000 1.03e+08
4 5.35e+08 73100000 9.86e+07
5 5.35e+08 75800000 1.07e+08
6 5.34e+08 77800000 1.14e+08
7 5.35e+08 79400000 1.20e+08
8 5.34e+08 79900000 1.26e+08
9 5.34e+08 79100000 1.31e+08
10 5.33e+08 77500000 1.35e+08
11 5.33e+08 74900000 1.38e+08
12 5.31e+08 70900000 1.40e+08
13 5.30e+08 66200000 1.41e+08
14 5.39e+08 54700000 1.50e+08
15 5.42e+08 53200000 1.53e+08
16 5.44e+08 51600000 1.55e+08
17 5.47e+08 49400000 1.57e+08
18 5.49e+08 46100000 1.59e+08
19 5.52e+08 41200000 1.61e+08
20 5.54e+08 34000000 1.61e+08
21 5.56e+08 24900000 1.59e+08
22 5.57e+08 14500000 1.57e+08
23 5.58e+08 2910000 1.54e+08
24 5.77e+08 -6540000 1.40e+08
25 5.82e+08 -3350000 1.34e+08
26 5.88e+08 632000 1.31e+08
27 5.92e+08 4170000 1.27e+08
28 5.94e+08 6870000 1.23e+08
29 5.95e+08 9310000 1.19e+08
30 5.94e+08 11500000 1.16e+08
31 5.93e+08 13400000 1.13e+08
32 5.92e+08 15300000 1.11e+08
33 5.90e+08 17300000 1.09e+08
34 5.85e+08 32800000 9.65e+07
35 5.85e+08 36100000 9.61e+07
36 5.84e+08 39300000 9.58e+07
37 5.84e+08 42700000 9.54e+07
38 5.83e+08 46500000 9.45e+07
39 5.81e+08 50400000 9.30e+07
40 5.76e+08 54200000 9.10e+07
41 5.70e+08 58300000 8.85e+07
42 5.62e+08 60800000 8.60e+07
43 5.52e+08 63100000 8.31e+07
, , 0377
X Y Z
1 5.48e+08 74100000 1.08e+08
2 5.79e+08 14000000 1.01e+08
3 6.04e+08 47100000 5.61e+07
4 5.56e+08 97700000 5.76e+07
5 5.57e+08 98500000 6.97e+07
6 5.56e+08 97400000 8.03e+07
7 5.55e+08 96300000 8.91e+07
8 5.54e+08 94400000 9.59e+07
9 5.52e+08 91900000 1.01e+08
10 5.50e+08 88500000 1.03e+08
11 5.49e+08 85800000 1.04e+08
12 5.49e+08 83500000 1.04e+08
13 5.49e+08 80600000 1.04e+08
14 5.56e+08 68300000 1.14e+08
15 5.58e+08 66000000 1.16e+08
16 5.60e+08 63600000 1.17e+08
17 5.63e+08 61200000 1.19e+08
18 5.66e+08 58200000 1.21e+08
19 5.69e+08 54100000 1.22e+08
20 5.71e+08 48000000 1.22e+08
21 5.72e+08 39600000 1.20e+08
22 5.73e+08 29600000 1.19e+08
23 5.71e+08 20000000 1.13e+08
24 5.93e+08 11100000 9.49e+07
25 5.99e+08 13800000 9.20e+07
26 6.04e+08 16500000 8.87e+07
27 6.08e+08 19300000 8.54e+07
28 6.11e+08 22300000 8.19e+07
29 6.13e+08 25300000 7.83e+07
30 6.14e+08 28300000 7.44e+07
31 6.13e+08 31400000 7.05e+07
32 6.12e+08 34600000 6.64e+07
33 6.10e+08 38100000 6.21e+07
34 6.05e+08 59700000 5.27e+07
35 6.05e+08 63900000 5.30e+07
36 6.04e+08 67800000 5.28e+07
37 6.02e+08 71500000 5.25e+07
38 6.01e+08 75300000 5.22e+07
39 5.99e+08 79300000 5.19e+07
40 5.96e+08 83500000 5.13e+07
41 5.91e+08 87200000 4.98e+07
42 5.84e+08 88800000 4.73e+07
43 5.77e+08 90300000 4.48e+07
, , 1865
X Y Z
1 4.06e+08 -3.58e+08 5.56e+08
2 3.76e+08 -2.90e+08 5.60e+08
3 3.62e+08 -3.32e+08 5.99e+08
4 3.84e+08 -3.85e+08 5.76e+08
5 3.89e+08 -3.84e+08 5.74e+08
6 3.93e+08 -3.83e+08 5.73e+08
7 3.98e+08 -3.81e+08 5.72e+08
8 4.01e+08 -3.79e+08 5.70e+08
9 4.03e+08 -3.77e+08 5.68e+08
10 4.05e+08 -3.74e+08 5.67e+08
11 4.07e+08 -3.71e+08 5.65e+08
12 4.08e+08 -3.68e+08 5.63e+08
13 4.08e+08 -3.64e+08 5.61e+08
14 4.07e+08 -3.45e+08 5.55e+08
15 4.09e+08 -3.40e+08 5.54e+08
16 4.11e+08 -3.36e+08 5.54e+08
17 4.11e+08 -3.31e+08 5.53e+08
18 4.10e+08 -3.26e+08 5.53e+08
19 4.08e+08 -3.21e+08 5.52e+08
20 4.02e+08 -3.16e+08 5.51e+08
21 3.97e+08 -3.10e+08 5.51e+08
22 3.92e+08 -3.02e+08 5.51e+08
23 3.85e+08 -2.94e+08 5.51e+08
24 3.68e+08 -2.87e+08 5.71e+08
25 3.67e+08 -2.88e+08 5.76e+08
26 3.67e+08 -2.88e+08 5.81e+08
27 3.66e+08 -2.90e+08 5.85e+08
28 3.64e+08 -2.94e+08 5.88e+08
29 3.63e+08 -2.98e+08 5.90e+08
30 3.61e+08 -3.02e+08 5.93e+08
31 3.59e+08 -3.07e+08 5.95e+08
32 3.57e+08 -3.13e+08 5.95e+08
33 3.56e+08 -3.20e+08 5.95e+08
34 3.66e+08 -3.40e+08 6.04e+08
35 3.68e+08 -3.42e+08 6.05e+08
36 3.69e+08 -3.45e+08 6.06e+08
37 3.69e+08 -3.48e+08 6.06e+08
38 3.70e+08 -3.52e+08 6.06e+08
39 3.70e+08 -3.56e+08 6.05e+08
40 3.71e+08 -3.61e+08 6.04e+08
41 3.70e+08 -3.66e+08 6.02e+08
42 3.69e+08 -3.71e+08 5.99e+08
43 3.67e+08 -3.77e+08 5.94e+08
, , 1880
X Y Z
1 3.49e+08 -1.07e+08 6.05e+08
2 3.17e+08 -2.81e+07 6.07e+08
3 3.00e+08 -6.88e+07 6.51e+08
4 3.22e+08 -1.39e+08 6.27e+08
5 3.30e+08 -1.36e+08 6.23e+08
6 3.37e+08 -1.34e+08 6.20e+08
7 3.42e+08 -1.32e+08 6.17e+08
8 3.47e+08 -1.30e+08 6.15e+08
9 3.50e+08 -1.27e+08 6.14e+08
10 3.52e+08 -1.24e+08 6.12e+08
11 3.53e+08 -1.21e+08 6.11e+08
12 3.53e+08 -1.19e+08 6.11e+08
13 3.52e+08 -1.15e+08 6.11e+08
14 3.50e+08 -9.35e+07 6.04e+08
15 3.53e+08 -8.75e+07 6.03e+08
16 3.54e+08 -8.14e+07 6.01e+08
17 3.55e+08 -7.53e+07 6.01e+08
18 3.54e+08 -6.91e+07 6.00e+08
19 3.53e+08 -6.26e+07 6.00e+08
20 3.50e+08 -5.61e+07 5.99e+08
21 3.44e+08 -4.97e+07 5.98e+08
22 3.38e+08 -4.26e+07 5.98e+08
23 3.30e+08 -3.65e+07 5.97e+08
24 3.11e+08 -2.72e+07 6.21e+08
25 3.09e+08 -3.05e+07 6.27e+08
26 3.09e+08 -3.28e+07 6.33e+08
27 3.09e+08 -3.43e+07 6.39e+08
28 3.09e+08 -3.73e+07 6.44e+08
29 3.07e+08 -4.08e+07 6.47e+08
30 3.06e+08 -4.44e+07 6.49e+08
31 3.05e+08 -4.82e+07 6.50e+08
32 3.04e+08 -5.23e+07 6.51e+08
33 3.03e+08 -5.67e+07 6.51e+08
34 3.04e+08 -7.65e+07 6.56e+08
35 3.05e+08 -8.11e+07 6.58e+08
36 3.06e+08 -8.54e+07 6.60e+08
37 3.07e+08 -8.99e+07 6.61e+08
38 3.08e+08 -9.48e+07 6.62e+08
39 3.09e+08 -1.00e+08 6.62e+08
40 3.10e+08 -1.07e+08 6.60e+08
41 3.08e+08 -1.13e+08 6.56e+08
42 3.06e+08 -1.20e+08 6.48e+08
43 3.05e+08 -1.28e+08 6.43e+08
$NAs
NULL
$NA.list
NULL
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