У меня есть коррелограмма, как показано ниже, с использованием этого кода:
corMatrix <- myfiles %>% cor_mat(c("v1","v2","v3",
"v4","v5","v6",
"v7","v8","v9","v10",
"v11","v12","v13"),
method = "kendall")
cor_plot(corMatrix,method="color",
type="full",
p.mat = corMatrix_p, insig = "blank")
Ниже приведена структура данных для моих файлов
myfiles <- structure(list(Date = structure(c(16075, 16082, 16089, 16096,
16103, 16110, 16117, 16124, 16131, 16138, 16145, 16152, 16159,
16166, 16173, 16180, 16187, 16194, 16201, 16208, 16215, 16222,
16229, 16236, 16243, 16250, 16257, 16264, 16271, 16278, 16285,
16292, 16299, 16306, 16313, 16320, 16327, 16334, 16341, 16348,
16355, 16362, 16369, 16376, 16383, 16390, 16397, 16404, 16411,
16418, 16425, 16432, 16439, 16446, 16453, 16460, 16467, 16474,
16481, 16488, 16495, 16502, 16509, 16516, 16523, 16530, 16537,
16544, 16551, 16558, 16565, 16572, 16579, 16586, 16593, 16600,
16607, 16614, 16621, 16628, 16635, 16642, 16649, 16656, 16663,
16670, 16677, 16684, 16691, 16698, 16705, 16712, 16719, 16726,
16733, 16740, 16747, 16754, 16761, 16768, 16775, 16782, 16789,
16796, 16803, 16810, 16817, 16824, 16831, 16838, 16845, 16852,
16859, 16866, 16873, 16880, 16887, 16894, 16901, 16908, 16915,
16922, 16929, 16936, 16943, 16950, 16957, 16964, 16971, 16978,
16985, 16992, 16999, 17006, 17013, 17020, 17027, 17034, 17041,
17048, 17055, 17062, 17069, 17076, 17083, 17090, 17097, 17104,
17111, 17118, 17125, 17132, 17139, 17146, 17153, 17160, 17167,
17174, 17181, 17188, 17195, 17202, 17209, 17216, 17223, 17230,
17237, 17244, 17251, 17258, 17265, 17272, 17279, 17286, 17293,
17300, 17307, 17314, 17321, 17328, 17335, 17342, 17349, 17356,
17363, 17370, 17377, 17384, 17391, 17398, 17405, 17412, 17419,
17426, 17433, 17440, 17447, 17454, 17461, 17468, 17475, 17482,
17489, 17496, 17503, 17510, 17517, 17524, 17531, 17538, 17545,
17552, 17559, 17566, 17573, 17580, 17587, 17594, 17601, 17608,
17615, 17622, 17629, 17636, 17643, 17650, 17657, 17664, 17671,
17678, 17685, 17692, 17699, 17706, 17713, 17720, 17727, 17734,
17741, 17748, 17755, 17762, 17769, 17776, 17783, 17790, 17797,
17804, 17811, 17818, 17825, 17832, 17839, 17846, 17853, 17860,
17867, 17874, 17881, 17888, 17895, 17902, 17909, 17916, 17923,
17930, 17937, 17944, 17951, 17958, 17965, 17972, 17979, 17986,
17993, 18000, 18007, 18014, 18021, 18028, 18035, 18042, 18049,
18056, 18063, 18070, 18077, 18084, 18091, 18098, 18105, 18112,
18119, 18126, 18133, 18140, 18147, 18154, 18161, 18168, 18175,
18182, 18189, 18196, 18203, 18210, 18217, 18224, 18231, 18238,
18245, 18252, 18259, 18266, 18273, 18280, 18287, 18294, 18301,
18308, 18315), class = "Date"), v1 = c(39L, 40L, 39L, 37L,
39L, 44L, 41L, 40L, 35L, 39L, 35L, 32L, 36L, 34L, 32L, 34L, 32L,
34L, 32L, 30L, 36L, 34L, 35L, 32L, 35L, 32L, 33L, 35L, 35L, 35L,
35L, 36L, 41L, 36L, 34L, 32L, 33L, 30L, 33L, 36L, 34L, 39L, 36L,
34L, 35L, 40L, 46L, 40L, 41L, 44L, 48L, 45L, 32L, 28L, 31L, 29L,
32L, 31L, 33L, 33L, 33L, 31L, 28L, 30L, 29L, 25L, 25L, 25L, 26L,
26L, 24L, 24L, 26L, 25L, 28L, 32L, 32L, 32L, 32L, 35L, 36L, 32L,
31L, 32L, 32L, 35L, 36L, 33L, 30L, 32L, 37L, 42L, 36L, 36L, 33L,
33L, 31L, 46L, 49L, 63L, 77L, 56L, 58L, 57L, 71L, 44L, 36L, 39L,
35L, 35L, 35L, 32L, 33L, 36L, 33L, 33L, 34L, 29L, 30L, 30L, 28L,
27L, 31L, 29L, 28L, 29L, 29L, 100L, 64L, 42L, 48L, 43L, 39L,
36L, 33L, 30L, 32L, 31L, 34L, 34L, 31L, 35L, 35L, 40L, 40L, 40L,
39L, 38L, 50L, 46L, 48L, 47L, 40L, 43L, 43L, 44L, 60L, 54L, 50L,
51L, 61L, 55L, 55L, 62L, 51L, 54L, 51L, 45L, 45L, 46L, 45L, 48L,
47L, 44L, 42L, 42L, 42L, 43L, 44L, 54L, 53L, 48L, 51L, 47L, 45L,
45L, 47L, 49L, 51L, 44L, 43L, 46L, 42L, 46L, 44L, 100L, 62L,
54L, 53L, 45L, 93L, 61L, 76L, 60L, 52L, 53L, 62L, 56L, 54L, 21L,
19L, 21L, 21L, 20L, 82L, 100L, 62L, 38L, 34L, 31L, 35L, 27L,
23L, 21L, 21L, 20L, 21L, 21L, 22L, 22L, 20L, 19L, 20L, 19L, 21L,
20L, 20L, 19L, 21L, 21L, 20L, 18L, 22L, 19L, 18L, 18L, 17L, 20L,
19L, 20L, 21L, 24L, 26L, 25L, 32L, 24L, 25L, 25L, 28L, 27L, 25L,
53L, 53L, 49L, 50L, 49L, 52L, 53L, 58L, 53L, 56L, 52L, 50L, 49L,
52L, 62L, 46L, 45L, 52L, 41L, 45L, 50L, 48L, 48L, 49L, 50L, 50L,
47L, 49L, 44L, 54L, 100L, 67L, 58L, 45L, 60L, 51L, 56L, 50L,
50L, 48L, 48L, 49L, 48L, 54L, 57L, 67L, 74L, 58L, 60L, 64L, 77L,
70L, 82L, 72L, 77L, 74L, 67L, 79L, 74L, 88L), v2 = c(4L,
6L, 5L, 5L, 5L, 6L, 5L, 5L, 4L, 4L, 5L, 5L, 6L, 6L, 6L, 5L, 5L,
5L, 5L, 4L, 5L, 5L, 4L, 6L, 5L, 4L, 5L, 5L, 6L, 4L, 4L, 4L, 5L,
5L, 5L, 5L, 4L, 5L, 6L, 5L, 6L, 6L, 4L, 6L, 6L, 6L, 6L, 5L, 6L,
4L, 7L, 6L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 4L, 5L, 4L,
4L, 6L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 3L, 5L, 4L, 4L, 4L, 5L, 4L,
4L, 4L, 5L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 4L, 4L, 5L, 5L, 4L, 6L,
5L, 7L, 7L, 5L, 7L, 9L, 7L, 6L, 6L, 5L, 5L, 5L, 4L, 6L, 5L, 6L,
4L, 5L, 5L, 5L, 4L, 4L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 3L, 5L, 4L,
5L, 4L, 5L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 4L, 4L, 4L, 5L, 5L,
5L, 5L, 5L, 4L, 4L, 7L, 6L, 5L, 4L, 5L, 7L, 8L, 8L, 8L, 8L, 7L,
7L, 8L, 8L, 8L, 8L, 7L, 7L, 7L, 7L, 7L, 7L, 6L, 5L, 7L, 8L, 6L,
6L, 6L, 6L, 6L, 6L, 8L, 7L, 7L, 8L, 7L, 8L, 8L, 6L, 7L, 6L, 6L,
8L, 7L, 7L, 7L, 6L, 7L, 8L, 8L, 8L, 10L, 8L, 5L, 7L, 7L, 9L,
8L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 4L, 3L, 3L, 3L,
3L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 4L, 2L, 3L, 3L, 2L, 3L, 4L, 4L, 4L, 4L, 3L,
3L, 4L, 4L, 5L, 4L, 8L, 7L, 8L, 7L, 5L, 7L, 8L, 8L, 7L, 7L, 7L,
9L, 6L, 9L, 8L, 6L, 6L, 8L, 7L, 7L, 8L, 7L, 7L, 7L, 8L, 7L, 7L,
6L, 7L, 7L, 8L, 6L, 7L, 6L, 8L, 6L, 5L, 9L, 6L, 8L, 7L, 6L, 6L,
7L, 6L, 7L, 8L, 8L, 8L, 7L, 10L, 10L, 10L, 11L, 11L, 10L, 9L,
10L, 10L, 9L), v3 = c(84L, 86L, 82L, 100L, 83L, 82L,
76L, 74L, 81L, 72L, 67L, 66L, 67L, 64L, 67L, 61L, 67L, 63L, 59L,
60L, 57L, 54L, 60L, 59L, 53L, 61L, 61L, 57L, 59L, 63L, 60L, 56L,
60L, 64L, 57L, 55L, 58L, 61L, 56L, 63L, 65L, 63L, 59L, 64L, 60L,
62L, 70L, 65L, 65L, 61L, 71L, 69L, 54L, 59L, 54L, 55L, 55L, 56L,
74L, 100L, 86L, 69L, 54L, 55L, 48L, 47L, 48L, 48L, 46L, 44L,
42L, 45L, 43L, 48L, 46L, 43L, 45L, 44L, 52L, 47L, 50L, 49L, 47L,
47L, 50L, 49L, 51L, 47L, 45L, 45L, 49L, 53L, 55L, 56L, 52L, 52L,
51L, 64L, 67L, 73L, 78L, 65L, 76L, 74L, 62L, 57L, 52L, 75L, 54L,
47L, 52L, 52L, 49L, 42L, 45L, 43L, 45L, 42L, 44L, 41L, 40L, 38L,
39L, 41L, 42L, 43L, 39L, 60L, 50L, 49L, 52L, 51L, 46L, 47L, 42L,
44L, 45L, 44L, 47L, 44L, 49L, 43L, 50L, 47L, 48L, 52L, 53L, 51L,
64L, 57L, 60L, 52L, 45L, 48L, 49L, 56L, 81L, 71L, 61L, 68L, 69L,
67L, 69L, 61L, 68L, 69L, 63L, 63L, 61L, 59L, 78L, 60L, 56L, 57L,
57L, 54L, 52L, 48L, 53L, 49L, 50L, 53L, 58L, 55L, 61L, 52L, 57L,
55L, 57L, 51L, 51L, 52L, 54L, 58L, 58L, 80L, 67L, 62L, 60L, 60L,
65L, 64L, 78L, 70L, 63L, 68L, 67L, 75L, 66L, 27L, 26L, 26L, 27L,
24L, 30L, 35L, 33L, 31L, 28L, 28L, 30L, 28L, 26L, 23L, 22L, 21L,
22L, 21L, 20L, 22L, 20L, 20L, 21L, 20L, 24L, 21L, 21L, 22L, 23L,
22L, 24L, 25L, 20L, 22L, 23L, 22L, 20L, 21L, 22L, 22L, 23L, 25L,
25L, 25L, 33L, 28L, 25L, 28L, 27L, 29L, 30L, 58L, 57L, 60L, 58L,
56L, 60L, 59L, 57L, 56L, 60L, 55L, 55L, 54L, 50L, 53L, 55L, 48L,
50L, 53L, 47L, 46L, 51L, 52L, 55L, 61L, 60L, 51L, 51L, 57L, 53L,
71L, 67L, 58L, 56L, 93L, 71L, 66L, 68L, 60L, 62L, 61L, 56L, 57L,
61L, 64L, 64L, 75L, 65L, 64L, 69L, 78L, 84L, 100L, 91L, 94L,
86L, 83L, 89L, 89L, 87L), v4 = c(75L, 77L, 73L, 71L, 70L,
78L, 76L, 72L, 71L, 72L, 75L, 75L, 70L, 74L, 72L, 74L, 74L, 73L,
69L, 74L, 72L, 71L, 74L, 72L, 72L, 82L, 74L, 83L, 78L, 73L, 73L,
80L, 88L, 88L, 74L, 68L, 70L, 76L, 72L, 76L, 75L, 76L, 71L, 77L,
96L, 85L, 100L, 90L, 81L, 80L, 87L, 86L, 81L, 77L, 81L, 74L,
73L, 74L, 76L, 71L, 84L, 79L, 74L, 74L, 72L, 80L, 72L, 73L, 70L,
69L, 69L, 77L, 72L, 77L, 72L, 77L, 77L, 85L, 77L, 74L, 77L, 77L,
76L, 77L, 75L, 77L, 79L, 73L, 71L, 73L, 78L, 78L, 76L, 74L, 74L,
75L, 81L, 86L, 95L, 91L, 85L, 83L, 90L, 92L, 72L, 67L, 72L, 77L,
68L, 64L, 68L, 73L, 75L, 71L, 71L, 70L, 69L, 72L, 68L, 67L, 65L,
65L, 63L, 64L, 64L, 67L, 64L, 80L, 73L, 70L, 100L, 73L, 78L,
62L, 63L, 66L, 60L, 61L, 61L, 62L, 61L, 73L, 71L, 70L, 69L, 67L,
67L, 68L, 64L, 73L, 75L, 70L, 67L, 64L, 68L, 76L, 71L, 73L, 75L,
71L, 74L, 68L, 68L, 72L, 71L, 70L, 69L, 69L, 69L, 71L, 73L, 73L,
68L, 71L, 68L, 64L, 65L, 73L, 66L, 67L, 69L, 72L, 80L, 66L, 69L,
68L, 66L, 72L, 67L, 75L, 75L, 69L, 70L, 68L, 69L, 83L, 70L, 70L,
71L, 73L, 76L, 77L, 82L, 74L, 71L, 70L, 71L, 77L, 71L, 66L, 65L,
74L, 68L, 66L, 79L, 82L, 79L, 71L, 73L, 75L, 79L, 80L, 76L, 71L,
70L, 74L, 70L, 72L, 75L, 71L, 71L, 70L, 74L, 72L, 83L, 68L, 71L,
82L, 79L, 72L, 70L, 67L, 66L, 66L, 65L, 68L, 68L, 65L, 63L, 65L,
68L, 73L, 69L, 74L, 77L, 68L, 67L, 65L, 67L, 72L, 74L, 75L, 74L,
76L, 73L, 72L, 73L, 77L, 75L, 71L, 73L, 73L, 71L, 72L, 74L, 70L,
66L, 72L, 72L, 70L, 67L, 69L, 69L, 75L, 73L, 75L, 83L, 71L, 69L,
66L, 66L, 79L, 74L, 67L, 64L, 68L, 70L, 67L, 68L, 73L, 70L, 73L,
72L, 69L, 77L, 77L, 76L, 82L, 77L, 73L, 71L, 79L, 84L, 84L, 74L,
76L, 72L, 73L, 76L, 75L, 73L), v5 = c(41L, 44L, 40L, 39L,
37L, 40L, 40L, 42L, 39L, 37L, 39L, 37L, 36L, 34L, 34L, 35L, 35L,
32L, 33L, 33L, 32L, 32L, 31L, 30L, 32L, 32L, 30L, 31L, 32L, 34L,
33L, 34L, 35L, 44L, 36L, 39L, 35L, 35L, 35L, 32L, 34L, 36L, 36L,
35L, 36L, 36L, 44L, 39L, 38L, 42L, 44L, 44L, 39L, 39L, 39L, 39L,
37L, 37L, 39L, 38L, 39L, 36L, 35L, 34L, 33L, 32L, 28L, 31L, 29L,
27L, 29L, 30L, 31L, 29L, 29L, 32L, 33L, 34L, 30L, 32L, 35L, 32L,
32L, 34L, 32L, 33L, 33L, 32L, 31L, 30L, 33L, 37L, 32L, 33L, 32L,
32L, 34L, 41L, 45L, 48L, 56L, 47L, 52L, 51L, 44L, 35L, 34L, 34L,
33L, 30L, 32L, 31L, 31L, 30L, 28L, 29L, 29L, 27L, 26L, 26L, 24L,
24L, 24L, 25L, 23L, 25L, 25L, 41L, 35L, 28L, 32L, 31L, 32L, 29L,
29L, 27L, 27L, 27L, 26L, 24L, 24L, 26L, 27L, 27L, 29L, 30L, 30L,
29L, 32L, 31L, 37L, 33L, 31L, 30L, 32L, 32L, 32L, 30L, 30L, 29L,
31L, 31L, 31L, 32L, 30L, 30L, 29L, 28L, 28L, 27L, 27L, 26L, 27L,
25L, 27L, 24L, 23L, 23L, 25L, 25L, 27L, 27L, 28L, 25L, 24L, 25L,
26L, 25L, 26L, 24L, 24L, 24L, 23L, 25L, 25L, 37L, 29L, 28L, 29L,
27L, 33L, 33L, 38L, 33L, 31L, 31L, 32L, 35L, 31L, 28L, 28L, 30L,
29L, 29L, 34L, 43L, 42L, 37L, 34L, 32L, 36L, 31L, 29L, 28L, 27L,
28L, 26L, 24L, 25L, 25L, 24L, 24L, 24L, 25L, 25L, 23L, 25L, 26L,
26L, 24L, 24L, 24L, 24L, 24L, 23L, 23L, 23L, 24L, 22L, 25L, 25L,
26L, 28L, 28L, 34L, 30L, 28L, 29L, 31L, 31L, 31L, 33L, 32L, 32L,
34L, 32L, 33L, 34L, 34L, 33L, 35L, 34L, 32L, 31L, 29L, 30L, 28L,
28L, 28L, 28L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 27L, 27L, 27L,
27L, 37L, 32L, 31L, 30L, 30L, 30L, 34L, 30L, 30L, 30L, 30L, 30L,
29L, 31L, 32L, 33L, 39L, 33L, 32L, 34L, 37L, 40L, 37L, 36L, 38L,
38L, 36L, 38L, 38L, 39L), v6 = c(6L, 6L, 6L, 6L, 5L,
6L, 7L, 6L, 6L, 5L, 6L, 5L, 4L, 5L, 5L, 5L, 5L, 4L, 4L, 5L, 5L,
5L, 5L, 5L, 5L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 5L, 6L,
6L, 5L, 6L, 6L, 6L, 6L, 7L, 6L, 6L, 8L, 7L, 7L, 7L, 7L, 7L, 5L,
5L, 6L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 5L, 5L, 4L,
4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 5L, 5L, 6L, 5L, 6L, 5L, 5L,
5L, 6L, 6L, 6L, 5L, 6L, 7L, 6L, 7L, 6L, 6L, 6L, 7L, 9L, 7L, 7L,
8L, 8L, 8L, 6L, 5L, 5L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 4L,
5L, 5L, 5L, 5L, 5L, 5L, 6L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 5L,
6L, 9L, 7L, 7L, 6L, 6L, 6L, 7L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 6L,
6L, 5L, 6L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L,
6L, 7L, 6L, 7L, 6L, 6L, 5L, 6L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L,
6L, 7L, 7L, 6L, 7L, 10L, 7L, 7L, 7L, 7L, 8L, 7L, 6L, 6L, 5L,
5L, 5L, 5L, 6L, 5L, 5L, 5L, 5L, 6L, 5L, 5L, 5L, 5L, 4L, 5L, 5L,
5L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
4L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 9L, 7L, 7L, 7L, 6L, 7L,
6L, 7L, 6L, 7L, 8L, 7L, 7L, 6L, 6L, 6L, 6L, 6L, 6L, 5L, 6L, 5L,
5L, 5L, 5L, 5L, 5L, 6L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 5L,
6L, 6L, 6L, 6L, 6L, 7L, 6L, 7L, 6L, 8L, 8L, 7L, 7L, 7L, 7L, 10L,
8L, 8L, 7L, 8L, 8L, 7L, 7L, 7L, 7L, 6L, 6L, 7L, 6L), v7 = c(83L,
84L, 81L, 90L, 79L, 78L, 78L, 81L, 78L, 75L, 76L, 77L, 75L, 77L,
79L, 82L, 85L, 81L, 80L, 81L, 81L, 82L, 85L, 80L, 77L, 82L, 83L,
76L, 73L, 74L, 78L, 73L, 77L, 74L, 72L, 70L, 72L, 73L, 70L, 70L,
72L, 75L, 74L, 73L, 73L, 77L, 82L, 81L, 79L, 82L, 86L, 86L, 85L,
79L, 79L, 77L, 76L, 75L, 75L, 78L, 78L, 77L, 74L, 72L, 68L, 69L,
72L, 69L, 72L, 71L, 71L, 72L, 69L, 69L, 72L, 71L, 70L, 72L, 75L,
73L, 74L, 72L, 74L, 75L, 71L, 71L, 73L, 72L, 71L, 70L, 72L, 73L,
72L, 75L, 76L, 76L, 75L, 80L, 83L, 100L, 95L, 84L, 84L, 89L,
76L, 69L, 68L, 67L, 66L, 64L, 67L, 69L, 64L, 63L, 63L, 67L, 66L,
65L, 69L, 64L, 62L, 62L, 63L, 63L, 60L, 63L, 66L, 69L, 64L, 67L,
68L, 63L, 64L, 63L, 61L, 61L, 57L, 64L, 61L, 68L, 65L, 74L, 67L,
66L, 67L, 73L, 69L, 68L, 64L, 68L, 72L, 73L, 69L, 72L, 75L, 80L,
94L, 83L, 81L, 79L, 76L, 72L, 73L, 74L, 74L, 72L, 69L, 70L, 78L,
78L, 81L, 76L, 75L, 76L, 75L, 73L, 74L, 73L, 73L, 72L, 75L, 72L,
76L, 70L, 71L, 70L, 71L, 70L, 69L, 66L, 66L, 63L, 70L, 68L, 68L,
79L, 72L, 75L, 78L, 75L, 75L, 77L, 79L, 82L, 85L, 82L, 83L, 87L,
100L, 89L, 86L, 81L, 84L, 78L, 83L, 92L, 100L, 90L, 87L, 81L,
82L, 79L, 79L, 79L, 81L, 79L, 79L, 76L, 78L, 74L, 73L, 68L, 73L,
71L, 73L, 71L, 72L, 69L, 73L, 70L, 71L, 69L, 73L, 70L, 70L, 73L,
73L, 73L, 69L, 73L, 74L, 76L, 75L, 76L, 77L, 79L, 81L, 78L, 82L,
81L, 94L, 100L, 93L, 91L, 88L, 86L, 90L, 83L, 82L, 82L, 81L,
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78L, 80L, 77L, 73L, 79L, 79L, 76L, 88L, 91L, 90L, 80L, 82L, 82L,
82L, 85L, 99L, 100L, 97L, 91L, 89L, 82L, 85L, 82L, 83L), v8 = c(610L,
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894L, 672L)), row.names = c(NA, -321L), class = "data.frame")
Прямо сейчас, используя cor_plot, показан конечный результат коррелограммы как показано ниже.
Я хочу изменить цвет, изменить размер заголовка оси x и y, а также добавить заголовок для матрицы коррелограммы. Каков наилучший способ сделать это? Я уже пытался использовать ggplot или corrplot, но он не работает, как я и надеялся.