Как изменить порядок групп по оси X, не теряя информацию о статистических тестах? - PullRequest
1 голос
/ 21 июня 2019

Я хочу построить график с пакетом ggpubr, который показывает разницу в значении между средним и групповым средним.Мне удалось это сделать, но когда я хочу переупорядочить группы (Riv) по оси x в соответствии с (Reg), пропуски, которые указывают на значительные различия, исчезают.

Этот код работает:

pboxHg_stat = ggboxplot(dtnew, x="Riv", y= "Hg_RecoveryCorrected", fill = "Reg")+
  rotate_x_text(angle = 90)+
  geom_hline(yintercept = mean(dtnew$Hg_RecoveryCorrected, na.rm = TRUE), linetype=2)+
  stat_compare_means(method = "anova", label.y = 1000, na.rm = TRUE)+
  stat_compare_means(label="p.signif", method = "t.test", ref.group = ".all.", hide.ns = TRUE)

Но когда я добавляю строку кода, чтобы изменить порядок групп на оси x, "*" исчезает.

pboxHg_stat = ggboxplot(dtnew, x="Riv", y= "Hg_RecoveryCorrected", fill = "Reg")+
  rotate_x_text(angle = 90)+
  geom_hline(yintercept = mean(dtnew$Hg_RecoveryCorrected, na.rm = TRUE), linetype=2)+
  stat_compare_means(method = "anova", label.y = 1000, na.rm = TRUE)+
  stat_compare_means(label="p.signif", method = "t.test", ref.group = ".all.", hide.ns = TRUE)+
  scale_x_discrete(limits = RivHg)

enter image description here

структура dput (dtnew1) (список (Reg = структура (c (2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 1л, 1л, 1л, 1л, 1л, 1л, 1л, 1л, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л,2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л,2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л,2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л,2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л,2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 3л, 3л,3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л,3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л,3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л,3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л,3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л,3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л,3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label =c ("MA", "SE", "SW"), class = "factor"), Riv = структура (c (17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L,17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L,21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 2л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л,7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 7л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л,3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 3л, 4л, 4л, 4л, 4л, 4л, 4л, 4л, 4л, 4л, 4л, 4л,4л, 4л, 4л, 4л, 4л, 4л, 4л, 4л, 4л, 4л, 4л, 4л, 4L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1л, 1л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 12л, 8л, 8л, 8л, 8л, 8л,8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8л, 8л, 8л, 8л, 8л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 20л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 14л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18л, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 13L, 13L, 13L, 13L, 13L, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 13л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 5л, 19л, 19л, 19л, 19л, 19л, 19л, 19л, 19л, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11л, 11л, 11л, 11л, 11л, 11л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 15л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 16л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 9л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10л, 10L, 10L, 10L, 10L, 10L), .Label = c ("abe", "bos", "dom", "erk", "gel", "itt", "jek", "lak", "led", "mdb", "mei", "mlb", «мне», «мама», «мот», «ос», «vel», «vne», «waa», «win», «wit» ), класс = "фактор"), Hg = c (326,6, 278,6, 239,9, 344,7, 256,2, 364,2, 360,5, 244,3, 193,7, 195,9, 160,9, 254,1, 260,6, 125, 195,7, 87,2, 170,4, 105, 127,5, 115,9, 115,6, 200,7, 78,4, 193,6, 66,9, 102,9, 153,6, 188,6, 251,5, 213, 147,5, 187,8, 59,6, 201,4, 99,1, 259,1, 125,6, 129,4, 224,9, 334,3, 257, 227,6, 210,2, 0,4, 2,6, 138,3, 163,6, 206,8, 89,5, 132,1, 23,9, 95,1, 91,9, 105,7, 140,4, 71,7, 87,9, 88,5, 16,3, 35,6, 28, 154,3, 133,5, 86,7, 147,2, 118,9, 84,2, 127,1, 17,2, 164,8, 20,7, 10,2, 24,8, NA, NA, 133, 132,8, 73,2, 54,7, 82,3, 57,2, 6,1, 116,8, NA, 181, 61,9, 79,2, 147,6, 4,1, 220,9, 74,7, 233,2, 92,8, 24,5, 23,4, 6,2, 71,5, 82,2, 71,7, 109,7, 55,9, 309,9, 35,7, 29,9, 54,4, 71,5, 64,4, 55,1, 20,6, 48,3, 79, 5,1, 38,6, 355,9, 11,5, 52,7, 96, 32,4, 79, 75,3, 24,8, 79,9, 95,1, 297,2, 176,3, 167,1, 242,4, 117,9, 127,2, 166,6, 154,9, 209,6, 21,4, 180,8, 65, 18,3, 216, 124, 225,8, 202,8, 69,4, 143,6, 51,3, 34,3, 211, 183,4, 109,7, 94,3, 234,5, 61,5, 50,4, 50,6, 17,5, 63,5, 109,9, 182,2, 173,7, 95,4, NA, 81,4, 92,5, 129,2, 57,6, 136,1, 2,6, 79,7, 20,4, 77,4, 102,9, 87,9, 138,7, 6,2, 6,6, NA, 50,2, 45,9, 3,2, 8,1, 17,9, 3,2, 38,2, 31, 21,6, 37,4, 28, 24,7, 3,1, 10,2, 36,1, 38,9, 19,3, 16,1, 24,5, 4,3, 40,5, 36,1, 8,2, 33,3, 4, 17,3, 331,6, 396,4, 321,6, 396,6, 332, 287,8, 235,1, 315,2, 432,3, 352,1, 291, 267,1, 213,2, 364,8, 376,3, 403,4, 404,1, 278,8, 212,2, 336,9, 252,9, 524,6, 283,5, 217,1, NA, 90,2, 41,4, 38,9, 31,2, 10,6, 5,9, 56, 27,3, 34,2, 50, 4,6, 38,9, 49,4, 44,1, 83,3, 96,7, 61, 98, 118,3, 51, 68, 69,2, 70,3, 76,5, 63,3, 116,4, 129,2, 101,3, 84,2, 83,8, 112,7, 106,7, 153,3, 162,2, 100,9, 126,2, 142,4, 160, 84,5, 107,5, 114,5, 142,5, 118,4, 151,2, 139,4, 120,2, 134,7, 144,3, 189,2, NA, 435, 482,2, 34,2, 6,7, NA, 174,7, 46,5, 48,5, 107,4, 12,1, 9,8, 123,5, 38,1, 68,9, 9,4, 228,3, 51,2, 200,5, 91,4, 170,8, 35,1, 28,2, 45,2, 7,6, 2,9, 220,4, 146,6, 159,6, 70,2, 88,9, 182,6, 47,1, 122,2, 112,7, 161, 65,8, 199,7, 169,4, 197,8,128,1, 128,7, 214,8, 143,4, 204, 141,5, 356,1, 203,9, 51,4, 234,7, 272,7, 21,9, 5,3, 117,3, 6, 39,5, 53,6, 8,4, 59,7, 15,5, 77,8, 114,4, 74,2, 71,1, 59,1, 58,1, 102,1, 94,4, 155,3, 146,4, 154,3, 179,7, 113,8, 116,4, 142,6, 139,4, 152,4, 144,5, 214,2, 148,9, 178,5, 176,5, 167,7, 168, 192,4, 155,7, 179,3, 202,5, 178,2, 184,1, 229,3, 243,6, 184,8, 145,9, 190,8, 180,7, 428,1, 230,8, 160,9, 176,9, 170,3, 161, 185,6, 153, 112,2, 127,9, 104,7, 92,1, 77,7, 149,8, 199, 111,5, 131,8, 150,7, 80,9, 105,6, 84,7, 109,5, 107,7, 102,1, 146,6, 95, 106,3, 127,4, 252,8, 117,9, 87,3, 112,9, 72,2, 90,3, 99,8, 105,6, 99,7, 92,8, 113,9, 88,7, 211,7, 345,2, 94,9, 76,1, 32,4, 211, 107,8, 94,4, 152,3, 89,6, 95,5, 121,9, 51,9, 71,3, 81,2, 184,1, 234,9, 167,6, 218,2, 190,5, 261,3, 189,5, 316,8, 257,2, 398,7, 229, 228,7, 336,2, 156,8, 128,4, 126, 152,9, 324,4, 215,7, 211,5, 152,5, 260,9, 254,8, 137,2, 273,3, 183,4, 326,5, 170,5, 148,2, 124, 135,9, 139,7, 227,2, 291, 143,3, 199,7, 177,9, 174,1, 138,7, 199,3, 146,1, 160,1, 184,6, 155,7, 140, 156, 123,8, 127,4, 226,1, 148, 343,3, 342,1, 151,1, 354,8, 551,4, 251,7, 316,7, 445,4, 258,6, 166,9, 318,4, 250,1, 327,9, 327,3, 420,6, 45,2, 877, 236, 250,8, 57,9, 302,7, 697, 276, 296,4, 182,4, 58,8, 41,7, 25,2, 75,3, 64,4, 52,2, 62,7, 35,5, 51,5, 50,3, 45,1, 35,3, 31,1, 73,8, 90,9, 41,9, 52, 34,1, 107,7, 31,6, 33,1, 19,9, 58, 44,1, 31)), .Names = c ("Reg", "Riv", "Hg"), row.names = c (NA, -525L), class = "data.frame")

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