我有多个小约30 * 3（问题末尾有一个这样的）数据帧，我想为其绘制树。这与我之前提出的问题有关：
http://stackoverflow.com/questions/38347999/plot-a-decision-tree-with-r
这不会在我的mac上崩溃时进行绘图。如果我尝试将其绘制在我可以访问的集群上，我无法打开所需的XML显示。如果我使用substr作为1个字符的标签，它会绘制，但这完全没有信息。直接使用chartmer执行此操作具有相同的问题。 任何语言解决方案都会非常受欢迎，我最后想要一个体面的图表。
`dat<-structure(list(from = c(1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L,
4L, 4L, 5L, 5L, 5L, 5L, 208L, 205L, 248L, 249L, 85L, 214L, 219L,
215L, 6L, 6L, 172L, 181L, 172L, 103L), to = structure(c(105L,
180L, 191L, 202L, 115L, 112L, 158L, 159L, 241L, 121L, 126L, 1L,
122L, 213L, 78L, 87L, 254L, 254L, 254L, 254L, 254L, 254L, 254L,
254L, 78L, 6L, 254L, 254L, 254L, 254L), .Label = c("0", "10",
"100", "101", "102", "103", "104", "105", "106", "107", "108",
"109", "11", "111", "112", "113", "114", "115", "116", "117",
"118", "119", "12", "120", "121", "122", "123", "124", "125",
"126", "127", "128", "129", "13", "130", "131", "132", "133",
"134", "135", "136", "137", "138", "139", "14", "140", "141",
"142", "143", "144", "145", "146", "147", "148", "149", "15",
"151", "152", "153", "154", "155", "156", "158", "159", "16",
＆＃34; 160＆＃34;，＆＃34; 161＆＃34;，＆＃34; 162＆＃34;，＆＃34; 163＆＃34;，＆＃34; 165＆＃34;，＆＃ 34; 166＆＃34;，＆＃34; 167＆＃34;，＆＃34; 168＆＃34;，＆＃34; 169＆＃34;， ＆＃34; 17＆＃34;，＆＃34; 170＆＃34;，＆＃34; 171＆＃34;，＆＃34; 172＆＃34;，＆＃34; 173＆＃34;，＆＃34; 174＆ ＃34;，＆＃34; 176＆＃34;，＆＃34; 177＆＃34;，＆＃34; 178＆＃34;， ＆＃34; 179＆＃34;，＆＃34; 18＆＃34;，＆＃34; 180＆＃34;，＆＃34; 181＆＃34;，＆＃34; 182＆＃34;，＆＃34; 184＆ ＃34;，＆＃34; 185＆＃34;，＆＃34; 186＆＃34;，＆＃34; 187＆＃34;， ＆＃34; 188＆＃34;，＆＃34; 189＆＃34;，＆＃34; 19＆＃34;，＆＃34; 190＆＃34;，＆＃34; 192＆＃34;，＆＃34; 193＆ ＃34;，＆＃34; 194＆＃34;，＆＃34; 195＆＃34;，＆＃34; 196＆＃34;， ＆＃34; 197＆＃34;，＆＃34; 198＆＃34;，＆＃34; 199＆＃34;，＆＃34; 2＆＃34;，＆＃34; 20＆＃34;，＆＃34; 200＆ ＃34;，＆＃34; 201＆＃34;，＆＃34; 202＆＃34;，＆＃34; 203＆＃34;，＆＃34; 204＆＃34;， ＆＃34; 205＆＃34;，＆＃34; 206＆＃34;，＆＃34; 207＆＃34;，＆＃34; 208＆＃34;，＆＃34; 209＆＃34;，＆＃34; 21＆ ＃34;，＆＃34; 211＆＃34;，＆＃34; 212＆＃34;，＆＃34; 213＆＃34;， ＆＃34; 214＆＃34;，＆＃34; 215＆＃34;，＆＃34; 216＆＃34;，＆＃34; 217＆＃34;，＆＃34; 218＆＃34;，＆＃34; 219＆ ＃34;，＆＃34; 22＆＃34;，＆＃34; 220＆＃34;，＆＃34; 221＆＃34;， ＆＃34; 222＆＃34;，＆＃34; 223＆＃34;，＆＃34; 224＆＃34;，＆＃34; 225＆＃34;，＆＃34; 226＆＃34;，＆＃34; 227＆ ＃34;，＆＃34; 228＆＃34;，＆＃34; 229＆＃34;，＆＃34; 23＆＃34;， ＆＃34; 230＆＃34;，＆＃34; 231＆＃34;，＆＃34; 232＆＃34;，＆＃34; 233＆＃34;，＆＃34; 234＆＃34;，＆＃34; 235＆ ＃34;，＆＃34; 236＆＃34;，＆＃34; 237＆＃34;，＆＃34; 238＆＃34;， ＆＃34; 239＆＃34;，＆＃34; 24＆＃34;，＆＃34; 240＆＃34;，＆＃34; 241＆＃34;，＆＃34; 242＆＃34;，＆＃34; 243＆ ＃34;，＆＃34; 244＆＃34;，＆＃34; 245＆＃34;，＆＃34; 246＆＃34;， ＆＃34; 247＆＃34;，＆＃34; 248＆＃34;，＆＃34; 249＆＃34;，＆＃34; 25＆＃34;，＆＃34; 250＆＃34;，＆＃34; 251＆ ＃34;，＆＃34; 252＆＃34;，＆＃34; 253＆＃34;，＆＃34; 254＆＃34;， ＆＃34; 255＆＃34;，＆＃34; 256＆＃34;，＆＃34; 257＆＃34;，＆＃34; 258＆＃34;，＆＃34; 259＆＃34;，＆＃34; 26＆ ＃34;，＆＃34; 260＆＃34;，＆＃34; 261＆＃34;，＆＃34; 262＆＃34;， ＆＃34; 263＆＃34;，＆＃34; 264＆＃34;，＆＃34; 27＆＃34;，＆＃34; 28＆＃34;，＆＃34; 29＆＃34;，＆＃34; 3＆ ＃34;，＆＃34; 30＆＃34;，＆＃34; 31＆＃34;，＆＃34; 32＆＃34;，＆＃34; 33＆＃34;， ＆＃34; 34＆＃34;，＆＃34; 35＆＃34;，＆＃34; 36＆＃34;，＆＃34; 37＆＃34;，＆＃34; 38＆＃34;，＆＃34; 39＆ ＃34;，＆＃34; 4＆＃34;，＆＃34; 40＆＃34;，＆＃34; 41＆＃34;，＆＃34; 42＆＃34;，＆＃34; 43＆＃34;， ＆＃34; 44＆＃34;，＆＃34; 45＆＃34;，＆＃34; 46＆＃34;，＆＃34; 47＆＃34;，＆＃34; 48＆＃34;，＆＃34; 49＆ ＃34;，＆＃34; 5＆＃34;，＆＃34; 50＆＃34;，＆＃34; 51＆＃34;，＆＃34; 52＆＃34;，＆＃34; 53＆＃34;， ＆＃34; 54＆＃34;，＆＃34; 55＆＃34;，＆＃34; 56＆＃34;，＆＃34; 57＆＃34;，＆＃34; 58＆＃34;，＆＃34; 59＆ ＃34;，＆＃34; 6＆＃34;，＆＃34; 60＆＃34;，＆＃34; 61＆＃34;，＆＃34; 62＆＃34;，＆＃34; 63＆＃34;， ＆＃34; 64＆＃34;，＆＃34; 65＆＃34;，＆＃34; 66＆＃34;，＆＃34; 67＆＃34;，＆＃34; 68＆＃34;，＆＃34; 69＆ ＃34;，＆＃34; 7＆＃34;，＆＃34; 70＆＃34;，＆＃34; 71＆＃34;，＆＃34; 72＆＃34;，＆＃34; 73＆＃34;， ＆＃34; 74＆＃34;，＆＃34; 75＆＃34;，＆＃34; 76＆＃34;，＆＃34; 77＆＃34;，＆＃34; 78＆＃34;，＆＃34; 79＆ ＃34;，＆＃34; 8＆＃34;，＆＃34; 80＆＃34;，＆＃34; 81＆＃34;，＆＃34; 82＆＃34;，＆＃34; 83＆＃34;， ＆＃34; 84＆＃34;，＆＃34; 85＆＃34;，＆＃34; 86＆＃34;，＆＃34; 89＆＃34;，＆＃34; 9＆＃34;，＆＃34; 91＆ ＃34;，＆＃34; 92＆＃34;，＆＃34; 93＆＃34;，＆＃34; 94＆＃34;，＆＃34; 95＆＃34;，＆＃34; 96＆＃34;， ＆＃34; 97＆＃34;，＆＃34; 98＆＃34;，＆＃34; 99＆＃34;，＆＃34;结束＆＃34;），类=＆＃34;因素＆＃34;），nme = c（＆＃34; Cardi＆＃34;， ＆＃34; Cyano＆＃34;，＆＃34; Synco＆＃34;，＆＃34; Short＆＃34;，＆＃34; Sever＆＃34;，＆＃34; Profo＆＃34;，＆＃34; Newbo＆ ＃34;，＆＃34; Newbo＆＃34;， ＆＃34; Prod＆＃34;，＆＃34; #####＆＃34;，＆＃34; #####＆＃34;，＆＃34; #####＆＃34;，＆＃34 ;差＆＃34;，＆＃34; Syndr＆＃34;，＆＃34; Prema＆＃34;， ＆＃34; May＆＃34;，＆＃34; Conge＆＃34;，＆＃34; Conge＆＃34;，＆＃34; Conge＆＃34;，＆＃34; Conge＆＃34;，＆＃34; Hypog＆＃34;，＆＃34; Vasov＆＃34;， ＆＃34; Ortho＆＃34;，＆＃34; Conge＆＃34;，＆＃34; Down＆＃39;＆＃34;，＆＃34; Turne＆＃34;，＆＃34; Conge＆＃34;，＆ ＃34; Conge＆＃34;，＆＃34; Conge＆＃34;， ＆＃34; Coarc＆＃34;）），。Name = c（＆＃34; from＆＃34;，＆＃34; to＆＃34;，＆＃34; nme＆＃34;），row.names = c（ NA， -30L），class =＆＃34; data.frame＆＃34;） 库（data.tree）
dat$nme<-substr(as.character(dat$nme), 1, 5 )
subTree<-FromDataFrameNetwork(dat)
SetNodeStyle(subTree , style = "filled,rounded", shape = "box", fontname = "helvetica", label = function(node) node$nme, tooltip = "name")
plot(subTree ) `
答案 0 :(得分：0)
标签功能中有拼写错误（nme而不是名称）。此外，您的标签功能是默认设置，因此您可以将其全部保留。以下作品：
SetNodeStyle(subTree, style = "filled,rounded", shape = "box", fontname = "helvetica")