我已经使用R中的heatmap.2的gplots函数完成了热图，但是我不知道如何为每组着色分支和刻度标签（例如，如果我将树切割成像我的第二个图所示的四个小伙子。我检查了是否可以使用dendextend包单独着色树状图。
[这里也有一个热图：带有彩色树状图的selecting number of leaf nodes of dendrogram in heatmap.2 in R，但在我的示例中无法实现。
有人可以帮我解决这个问题吗？
更新
这是我的热图：
<< img src =“ https://image.soinside.com/eyJ1cmwiOiAiaHR0cHM6Ly9pLnN0YWNrLmltZ3VyLmNvbS9JcXpLVi5qcGcifQ==” alt =“在此处输入图像描述”>
而且我希望有一个这样的分支，并根据它们的四个组分别用彩色的勾号和勾号标签（此图由Illustrator编辑以解释此问题）：
<< img src =“ https://image.soinside.com/eyJ1cmwiOiAiaHR0cHM6Ly9pLnN0YWNrLmltZ3VyLmNvbS95NHF2Ty5qcGcifQ==” alt =“在此处输入图像描述”>
这里是我使用的数据和代码：
数据
YEAR varA varB varC varD varE varF var1 var2 var3 var4 var5 var6 var7 var8 var9 var10 var11 var12 var13 var14 var15 var16 var17
2005 1.175290887 1.535846033 1.531113178 -1.10297075 0.0284 26 -25.5470 -24.2101 24.7900 3.3345 0.0468 0.5058 0.0087 1.7378 0.0703 2.7070 0.0183 0.0340 0.0177 0.0176 0.0240 0.0015 0.0292
2004 0.834733204 0.64917365 -0.403174087 0.116169692 0.033 50 -24.4170 -22.2574 27.3400 3.4106 0.1151 0.5822 0.0085 1.8133 0.0762 3.2604 0.0114 0.0178 0.0086 0.0086 0.0824 0.0018 0.0308
2003 1.297607635 1.224946337 0.4486378 0.227557968 0.0544 181 -24.5080 -23.2790 27.4200 3.5092 0.1052 0.5239 0.0038 0.9815 0.0681 2.7465 0.0074 0.0099 0.0025 0.0025 0.0142 0.0015 0.0298
2002 1.043780072 0.650695815 -0.337133061 0.016766696 0.0374 227 -22.6110 -21.7828 30.0200 3.6270 0.1119 0.5753 0.0106 0.7916 0.0805 3.0434 0.0069 0.0086 0.0109 0.0108 0.0313 0.0017 0.0288
2001 0.781864124 0.534881678 -0.740527443 0.171745261 0.0074 20 -23.9170 -23.2327 3.8007 0.1243 0.6216 0.0553 1.2333 0.3414 2.9606 0.0074 0.0384 0.0079 0.0082 0.0570 0.0018 0.0360
2000 0.742528229 0.667207042 -0.614740091 0.189253192 0.0257 88 -22.6420 -21.4066 30.8900 3.1693 0.0287 0.6244 0.0070 1.0256 0.1336 2.7033 0.0063 0.0102 0.0185 0.0186 0.0248 0.0015 0.0278
1999 0.701222612 1.059869033 0.772334853 0.290190993 0.0476 312 -22.4730 -21.8328 26.6600 3.0578 0.0719 0.6363 0.0032 0.7183 0.0649 2.5445 0.0066 0.0070 0.0063 0.0063 0.0095 0.0016 0.0252
1998 0.904634938 1.16455833 0.646654191 0.086214161 0.0546 332 -23.2070 -22.4399 26.1400 3.2344 0.0656 0.7096 0.0046 0.6709 0.0718 2.5656 0.0072 0.0166 0.0132 0.0131 0.0144 0.0016 0.0275
1997 0.965775183 1.362520795 0.653268963 0.007038426 0.0791 509 -23.4830 -22.4253 26.0400 3.0278 0.0438 0.7575 0.0081 0.5002 0.0657 2.5755 0.0077 0.0072 0.0083 0.0083 0.0108 0.0017 0.0252
1996 0.956113049 1.439534042 0.618648101 -0.334351083 0.0411 245 -23.4290 -23.0417 27.3000 2.9331 0.0363 0.9229 0.0050 0.4819 0.1306 2.7239 0.0072 0.0166 0.0027 0.0026 0.0174 0.0018 0.0240
1995 1.786742729 1.732091021 2.654237394 0.190377371 0.0842 646 -22.7600 -22.0212 24.2100 3.1562 0.0202 1.1728 0.0072 0.6133 0.0772 3.1313 0.0080 0.0051 0.0035 0.0035 0.0055 0.0022 0.0266
1994 0.811695681 0.670904284 0.76646691 2.163378723 0.0394 203 -22.4920 -21.3677 28.6500 3.2475 0.0132 1.7476 0.0084 0.9386 0.1880 3.8856 0.0082 0.0120 0.0129 0.0129 0.0151 0.0026 0.0280
1993 0.754876913 0.302624208 -0.927234708 -0.108263802 0.017 66 -22.3880 -21.2900 32.8400 3.5853 0.0008 1.6626 0.0221 1.2307 0.4173 3.8864 0.0079 0.0379 0.0199 0.0196 0.0225 0.0028 0.0319
1992 0.723058507 0.818965047 -0.52053294 0.384656566 0.0345 155 -21.4920 -20.8724 32.2000 3.3116 0.0068 1.5673 0.0104 0.9411 0.2245 4.0228 0.0075 0.0123 0.0308 0.0306 0.0112 0.0027 0.0287
1991 1.024225427 0.71537408 0.22672288 -0.029575009 0.0297 235 -23.4850 -22.7000 27.8400 4.4024 0.0097 1.6126 0.0698 0.6344 0.2832 4.4160 0.0108 0.0127 0.0184 0.0184 0.0122 0.0030 0.0356
1990 0.873807193 1.168599747 1.317306687 -0.335682786 0.0533 172 -23.7170 -23.5029 25.8100 4.0497 0.0170 1.5207 0.0065 0.5232 0.1734 4.6765 0.0104 0.0164 0.0131 0.0130 0.0093 0.0030 0.0332
1989 0.71498833 1.065965836 0.650281646 -0.048038841 0.0663 214 -23.5000 -23.1053 26.3500 4.1139 0.0159 1.6162 0.0096 0.5199 0.1426 4.7752 0.0106 0.0083 0.0098 0.0099 0.0076 0.0031 0.0341
1988 1.188282778 1.133076429 -0.167816244 0.448030288 0.007 64 -23.3750 -21.9900 29.3900 3.6893 0.0278 1.8392 0.0939 0.5658 1.2390 5.1103 0.0086 0.0775 0.0203 0.0202 0.0339 0.0034 0.0340
1987 0.788798159 0.276008942 -0.934596308 -0.039259431 0.012 65 -22.9540 -22.7758 28.3800 3.6375 0.0011 1.8331 0.0768 0.6187 0.6081 5.0475 0.0088 0.0554 0.0183 0.0180 0.0159 0.0038 0.0381
1986 0.757757883 1.395817348 0.455252572 -0.001274532 0.0125 47 -22.6120 -22.9011 29.7400 3.7060 0.0172 1.5279 0.0151 0.5897 0.6168 4.4917 0.0085 0.0160 0.0257 0.0256 0.0276 0.0033 0.0410
1985 1.128413419 0.321849225 -0.904189697 -0.05362552 0.0705 291 -22.7200 -21.9357 28.4100 3.5887 0.0100 1.4955 0.0022 0.3538 0.1471 4.3125 0.0091 0.0157 0.0042 0.0042 0.0041 0.0029 0.0292
1984 1.015352865 1.014625668 0.39294569 -0.267936245 0.0419 121 -23.5170 -23.1678 25.6200 4.5018 0.0353 1.8985 0.0022 0.3420 0.2620 4.9867 0.0113 0.0069 0.0058 0.0058 0.0051 0.0033 0.0356
1983 0.393985784 0.474743555 -0.368393191 -0.222845745 0.0161 49 -24.5600 -23.9514 30.5300 3.0978 0.0270 0.9467 0.0421 0.3287 0.5616 3.1256 0.0075 0.0553 0.0154 0.0155 0.0084 0.0022 0.0323
1982 0.503744901 0.524683063 -0.946225504 0.016766696 0.0118 10 -23.5970 -24.0037 30.3100 2.7288 0.0011 1.2154 0.0097 0.3022 0.8415 4.3594 0.0083 0.0254 0.0075 0.0076 0.0134 0.0029 0.0304
1981 0.872025585 1.496555573 0.658923526 -0.175816424 0.0489 343 -23.8320 -23.4716 28.1100 4.6585 0.0128 1.9205 0.0031 0.2999 0.2278 5.6588 0.0134 0.0067 0.0072 0.0071 0.0087 0.0036 0.0437
1980 2.165460373 3.419095697 3.741300435 0.250364758 0.0644 626 -24.5010 -24.0323 28.7300 3.8474 0.0122 1.4827 0.0019 0.2164 0.1859 4.3602 0.0104 0.0056 0.0050 0.0050 0.0064 0.0028 0.0337
1979 1.00201444 0.453601121 0.109577407 0.73158507 0.0281 301 -23.6070 -22.9149 27.9100 4.5765 0.0467 1.6919 0.0344 0.1940 0.3453 5.1064 0.0132 0.0162 0.0078 0.0077 0.0554 0.0032 0.0389
1978 0.829984787 0.2021646 -0.724630653 -0.178430782 0.0000
1977 0.939170906 0.192142351 -1.029656979 0.50745842 0.0068 30 -24.3510 -22.5760 29.4900 6.1029 0.3417 2.4069 0.0938 0.2824 1.3937 6.6441 0.0136 0.0609 0.0395 0.0391 0.6074 0.0045 0.0591
1976 0.741090851 0.151474404 -0.439448642 0.359471579 0.056 396 -23.7450 -22.7680 28.3700 4.3464 0.0431 1.6901 0.0234 0.2937 0.2160 5.1366 0.0113 0.0147 0.0082 0.0081 0.0317 0.0034 0.0389
1975 1.061884929 0.396763153 -1.075320241 0.433356946 0.0299 322 -23.4320 -22.9732 25.7800 5.0301 0.1740 2.2028 0.0311 0.3131 0.4254 5.8683 0.0131 0.0160 0.0182 0.0182 0.2093 0.0038 0.0443
1974 1.052548763 0.491883924 0.28198823 -0.562241025 0.0215 267 -23.3350 -22.7075 26.4100 5.3407 0.1187 2.2436 0.0231 0.2984 0.5378 5.8795 0.0127 0.0208 0.0127 0.0128 0.0821 0.0038 0.0466
1973 0.519163031 1.120525721 0.960322396 -0.84893256 0.0129 49 -23.4350 -23.0556 31.3500 6.4341 0.1105 2.4298 0.0484 0.2783 0.9249 5.8779 0.0129 0.0428 0.0124 0.0123 0.1293 0.0038 0.0499
1972 0.703961551 1.359485416 -0.306513069 -1.150818704 0.0228 247 -23.7840 -23.3257 28.3000 6.3520 0.1096 2.6043 0.0439 0.4126 0.5335 6.3320 0.0154 0.0279 0.0061 0.0062 0.0874 0.0042 0.0593
1971 0.714252707 1.621333793 -1.065184704 0.003023451 0.0274 196 -23.2140 -22.2731 31.3800 5.1332 0.0873 1.9259 0.0872 0.3598 0.4714 4.9337 0.0112 0.0234 0.0073 0.0073 0.0688 0.0034 0.0426
1970 1.022643019 1.491401283 0.088239434 -0.973528472 0.025 206 -22.9870 -21.9506 30.6200 5.0770 0.0698 2.1145 0.1825 0.3537 0.4990 5.3274 0.0129 0.0873 0.0098 0.0098 0.0316 0.0040 0.0479
1969 2.157784838 1.796722133 0.731152565 -0.193891705 0.0547 505 -24.2820 -23.9048 26.2400 5.0183 0.0637 2.2673 0.0127 0.2893 0.2420 5.1038 0.0129 0.0244 0.0069 0.0069 0.0154 0.0037 0.0440
1968 0.913026742 1.271215847 0.196849717 -1.068149218 0.0132 112 -22.9850 -21.9397 32.2300 4.0568 0.0498 2.0576 0.0965 0.2188 0.9468 5.3597 0.0080 0.0513 0.0157 0.0154 0.0507 0.0039 0.0371
1967 0.749350643 0.439194622 -1.316546028 0.306149455 0.0209 196 -23.7020 -22.8580 30.5400 4.5873 0.0703 1.9639 0.4981 0.2136 0.6086 5.1528 0.0100 0.0934 0.0103 0.0102 0.0235 0.0042 0.0415
1966 0.732785384 0.74795644 -0.681581292 1.265096245 0.0189 204 -23.3746 -22.7452 30.0600 4.8598 0.0542 1.8172 0.0437 0.2605 0.6557 5.2782 0.0131 0.0118 0.0081 0.0080 0.0203 0.0036 0.0418
1965 0.613725701 0.507953446 -1.91048851 0.825418348 0.0073 75 -24.2131 -22.5251 30.1900 5.5445 0.0691 1.9367 0.9303 0.2240 1.6461 5.5971 0.0119 0.1519 0.0318 0.0322 0.0436 0.0053 0.0467
1964 0.761469549 0.591007527 -0.715988774 -0.038091331 0.0000
1963 0.863218851 0.888615198 -0.331691877 -0.251436807 0.0123 121 -25.0690 -24.5964 27.4600 6.3232 0.0777 2.0383 0.1999 0.2465 0.9724 5.8291 0.0133 0.0349 0.0130 0.0131 0.0240 0.0044 0.0519
1962 1.194332086 1.123299319 1.400311402 -0.006545299 0.0296 250 -23.6850 -23.4588 29.3800 5.7280 0.0771 1.8900 0.0077 0.1952 0.4429 5.7635 0.0122 0.0047 0.0064 0.0063 0.0121 0.0041 0.0471
1961 0.685968021 0.396586649 -0.75076967 0.0168 201 -26.3352 -26.3457 5.5119 0.0726 1.9270 0.0180 0.1741 0.7887 5.7523 0.0121 0.0080 0.0119 0.0119 0.0208 0.0043 0.0496
1960 0.881343621 0.681729796 -0.466014418 0.0242 250 -25.5025 -25.2769 29.1200 6.5630 0.1133 2.2199 0.1176 0.2603 0.5894 6.4430 0.0159 0.0392 0.0062 0.0061 0.0308 0.0051 0.0647
1959 0.976463783 0.856497076 -0.769653776 0.0046 109 -24.9889 -25.0234 28.1000 7.4239 0.0760 3.3692 3.7315 0.4288 2.8041 7.8173 0.0178 0.6213 0.0559 0.0554 0.0902 0.0115 0.0722
1958 1.267054108 0.846073161 -0.698278256 0.0069 41 -24.5183 -25.8900 24.7200 8.4312 0.0602 3.1824 0.6086 0.4111 1.6313 7.3141 0.0165 0.0977 0.0280 0.0279 0.0575 0.0046 0.0709
1957 0.811849325 0.818326511 -1.087269506 0.0126 95 -23.4967 -23.5870 32.4900 5.6488 0.0761 2.6156 0.2207 0.4425 1.0305 7.3572 0.0159 0.0726 0.0380 0.0377 0.0437 0.0059 0.0573
1956 0.837065839 1.0007592 0.424525891 0.0115 76 -23.4403 -22.9419 32.1500 5.6087 0.0844 2.8347 0.3853 0.3125 1.1162 8.0455 0.0167 0.0696 0.0158 0.0157 0.0306 0.0058 0.0565
1955 2.044375189 1.828578166 0.0218 128 -24.9729 -24.2108 26.9000 7.4702 0.1659 4.0858 0.2619 0.3952 0.7023 9.7602 0.0222 0.0635 0.0111 0.0111 0.0338 0.0070 0.0731
1954 0.737033129 1.060103924 0.0029 8 -25.6604 -25.1068 28.9700 7.8034 0.0884 4.0907 1.8003 0.4834 5.0243 8.9409 0.0243 0.4037 0.0541 0.0529 0.2932 0.0091 0.0813
1953 0.619590578 0.647436408 0.0075 109 31.0400
1952 0.671851137 1.325676852 0.00562 41 33.1100
1951 0.894632264 1.397998867 0.00374 95 35.1800
1950 0.793048089 0.55195169 0.00186 76 -24.6750 -24.0405 37.2500 6.8214 0.1632 3.3876 1.0452 0.4622 1.7704 7.9556 0.0223 0.2316 0.0594 0.0592 0.3935 0.0066 0.0673
1949 0.70029018 1.053010492 0.0061 23 -25.2148 -26.0272 31.0900 5.8770 0.0532 3.0895 0.1231 0.4304 2.1365 7.9355 0.0165 0.1047 0.0204 0.0201 0.0735 0.0060 0.0578
1948 1.051413064 0.611568416 0.0105 86 -25.9116 -25.3761 29.6500 4.0905 0.0930 2.3578 0.7431 0.1757 1.3103 7.2889 0.0122 0.1378 0.0138 0.0136 0.0408 0.0056 0.0441
1947 0.706745895 0.323498221 0.0108 129 -26.5485 -25.8733 29.7700 5.7245 0.1294 3.2072 0.0524 0.2021 1.2550 9.1257 0.0150 0.1170 0.0155 0.0155 0.0393 0.0060 0.0588
1946 1.550656194 1.598435187 0.0164 381 -27.4603 -26.6368 28.0600 5.8659 0.1405 2.7682 0.0353 0.2424 0.3504 8.4089 0.0130 0.0437 0.0075 0.0075 0.0176 0.0057 0.0516
1945 0.877065687 0.539494611 0.0199 169 -26.7543 -26.0271 24.5700 6.2789 0.1407 2.9213 0.0309 0.3404 0.2888 7.9661 0.0131 0.0460 0.0079 0.0079 0.0185 0.0054 0.0507
1944 0.630508563 0.833959181 0.0116 20 -26.8748 -25.0203 29.4600 7.8427 0.0963 3.3664 0.8484 0.4187 0.4954 6.6868 0.0172 0.1799 0.0114 0.0114 0.0185 0.0066 0.0697
1943 0.948762137 0.552892235 0.0392 309 -24.8697 -26.9799 24.9700 7.2577 0.1020 3.2354 0.1611 0.3774 0.7706 8.0918 0.0196 0.0457 0.0060 0.0060 0.0120 0.0055 0.0699
1942 0.950673449 1.135547963 0.0148 18 -22.5094 -22.8155 28.5600 7.6926 0.1348 3.3979 0.6492 0.3347 1.3499 8.7744 0.0190 0.1142 0.0095 0.0095 0.0208 0.0072 0.0710
1941 1.185071356 1.263733805 0.0107 10 -24.3510 -22.5329 29.8200 6.2710 0.1459 3.3306 0.0560 0.3519 1.0068 9.4886 0.0179 0.0185 0.0196 0.0198 0.1190 0.0066 0.0613
1940 1.262322422 0.924262914 0.0168 133 -25.2962 -25.0828 26.2600 7.9568 0.1977 3.2329 0.0803 0.3561 3.2999 9.5743 0.0200 0.0232 0.0125 0.0125 0.0538 0.0065 0.0702
1939 1.114823086 1.548939022 0.0158 25 -25.5439 -24.3820 27.9800 4.2674 0.1624 2.3578 0.4553 0.3042 2.2656 7.3905 0.0087 0.0741 0.0100 0.0100 0.3075 0.0059 0.0413
1938 0.639727143 0.569847918 0.0115 5 -23.4696 -22.7480 5.0000 0.0751 2.6663 0.4021 0.2049 0.4997 7.9594 0.0121 0.0753 0.0093 0.0092 0.0819 0.0068 0.0485
1937 0.844930794 1.201811673 0.0269 13 -24.2616 -24.5915 25.9500 4.5623 0.0912 2.3393 0.0227 0.3172 0.2136 7.5512 0.0108 0.0093 0.0080 0.0079 0.1586 0.0049 0.0397
1936 0.603048989 0.528796963 0.0167 4 -23.4819 -23.1849 29.0200 7.1722 0.0600 2.7679 0.0126 0.2080 1.1025 7.5967 0.0175 0.0076 0.0094 0.0095 0.0608 0.0052 0.0569
1935 0.739921482 0.980951812 0.0369 402 -25.3542 -25.7692 30.5500 4.8218 0.0563 2.1489 0.0084 0.2337 1.3120 6.8994 0.0154 0.0044 0.0081 0.0081 0.0329 0.0047 0.0404
1934 0.936808475 1.350050919 0.0289 166 -26.1766 -24.8557 26.5700 4.2794 0.0626 2.1503 0.0112 0.3330 1.5501 6.8375 0.0072 0.0045 0.0248 0.0249 0.0818 0.0046 0.0362
1933 0.822006233 0.980858486 0.0187 215 -25.2825 -24.7483 27.0600 4.0682 0.0719 2.1376 0.0170 0.3042 3.6465 6.7130 0.0085 0.0074 0.0071 0.0071 0.0790 0.0047 0.0380
1932 1.128679304 1.122260931 0.0302 318 -26.5160 -24.7148 29.8100 3.4429 0.0475 2.1194 0.0111 0.2919 2.6147 7.5700 0.0093 0.0039 0.0069 0.0071 0.0472 0.0047 0.0336
1931 1.013960586 0.485124456 0.0189 13 -24.7074 -24.9517 30.7100 3.9828 0.0677 2.2806 0.0183 0.2268 3.7269 9.1548 0.0074 0.0089 0.0073 0.0073 0.0687 0.0057 0.0383
1930 1.148649752 1.029163891 0.0203 175 -26.8323 -26.0809 29.1800 3.0899 0.0697 3.5321 0.0158 0.3735 1.8765 13.0435 0.0121 0.0145 0.0103 0.0104 0.0397 0.0086 0.0506
1929 0.99387758 1.204846613 0.0376 104 -26.6411 -26.0890 28.1500 4.2733 0.0412 2.6675 0.0078 0.2893 0.1528 9.4824 0.0094 0.0112 0.0075 0.0075 0.0083 0.0064 0.0354
1928 0.905609551 0.772378969 0.0331 233 -25.8461 -26.2246 32.3600 5.8361 0.0440 2.8293 0.0095 0.2231 0.1736 8.7255 0.0186 0.0087 0.0074 0.0075 0.0091 0.0063 0.0476
1927 0.85672722 0.215215241 0.0171 152 -25.9555 -25.9299 28.1500 8.1915 0.1054 2.9585 0.0298 0.2692 0.3361 7.8459 0.0158 0.0135 0.0113 0.0112 0.2221 0.0057 0.0717
1926 0.932350398 0.425876672 0.0165 132 -27.7161 -26.9161 22.1900 7.5864 0.0875 3.2115 0.0256 0.2381 0.3483 8.4859 0.0152 0.0123 0.0127 0.0127 0.1256 0.0061 0.0618
1925 0.809324244 0.603492919 0.0174 48 -24.5765 -24.8562 28.9600 6.3520 0.0226 2.7524 0.0175 0.2355 0.3303 7.8838 0.0120 0.0130 0.0096 0.0096 0.0174 0.0058 0.0534
1924 1.735408827 1.991986688 0.027 253 -25.9985 -24.8571 31.4900 6.1000 0.1097 2.6762 0.0284 0.2676 2.2755 7.9132 0.0158 0.0089 0.0107 0.0106 0.2161 0.0054 0.0668
1923 0.787925712 1.573404755 0.0203 150 -24.6288 -25.1568 29.9300 5.6860 0.0967 2.5993 0.0231 0.2137 3.8395 9.0800 0.0128 0.0101 0.0098 0.0098 0.1010 0.0060 0.0536
1922 0.799163043 0.0208 334 -24.4215 -24.3729 28.8900 5.3341 0.0924 2.6394 0.0133 0.2462 3.8226 7.8138 0.0114 0.0069 0.0149 0.0150 0.0729 0.0054 0.0497
1921 0.77243578 0.0226 443 -23.4421 -23.8877 29.4300 6.1139 0.0805 3.2761 0.0156 0.2522 4.2754 10.1551 0.0128 0.0040 0.0195 0.0197 0.1065 0.0067 0.0623
1920 0.787155209 0.0385 278 -24.2587 -23.9798 29.2400 5.9896 0.0727 3.0804 0.0110 0.2266 3.7709 9.9680 0.0133 0.0038 0.0268 0.0269 0.0544 0.0067 0.0567
1919 0.836725864 0.0276 341 -24.7950 -24.8537 27.3900 6.5779 0.0798 3.1646 0.0126 0.2276 4.7733 10.8125 0.0149 0.0052 0.0154 0.0154 0.0604 0.0073 0.0629
1918 0.838156697 0.0058 392 -25.9260 -24.5236 30.6200 6.0259 0.0939 3.5283 0.0448 0.4603 6.5956 12.5834 0.0114 0.0238 0.0598 0.0605 0.2763 0.0095 0.0823
1917 0.966249549 0.0208 58 -25.5352 -24.7604 28.3400 5.8498 0.0925 2.8573 0.0143 0.2275 3.3143 9.2387 0.0118 0.0090 0.0238 0.0239 0.0445 0.0065 0.0535
1916 1.352618036 0.0152 567 -24.0530 -23.6626 27.6400 6.3964 0.0549 3.1876 0.0166 0.2559 6.1909 11.3232 0.0119 0.0088 0.0303 0.0302 0.0696 0.0078 0.0620
1915 0.56838431 0.0354 153 -23.6817 -23.9420 29.7600 5.9449 0.0494 3.1254 0.0118 0.2632 3.6600 10.8684 0.0125 0.0096 0.0234 0.0234 0.0455 0.0075 0.0580
1914 1.653698335 0.0096 355 -25.3230 -25.5543 30.4100 6.1042 0.0305 3.3067 0.0310 0.3592 11.7772 11.9468 0.0103 0.0189 0.0230 0.0230 0.0825 0.0083 0.0603
1913 0.673176646 0.018 479 -25.2734 -25.9128 31.0800 6.1167 0.1001 3.5575 0.0227 0.3392 8.3156 12.0722 0.0131 0.0069 0.0294 0.0291 0.0844 0.0083 0.0681
1912 1.168563731 0.0026 57 -25.4911 -25.0984 30.9900 8.2413 0.1793 5.4744 0.1320 0.7542 53.7132 17.0050 0.0120 0.1196 0.0562 0.0570 0.3436 0.0120 0.1118
1911 1.458277945 0.0119 43 -25.0742 -25.1744 29.2000 8.5525 0.0326 4.2884 0.0276 0.4920 13.5179 14.3376 0.0117 0.0126 0.0152 0.0153 0.0453 0.0096 0.0817
1910 1.653698335 0.0096 355 -25.3230 -25.5543 30.4100 6.1042 0.0305 3.3067 0.0310 0.3592 11.7772 11.9468 0.0103 0.0189 0.0230 0.0230 0.0825 0.0083 0.0603
代码
# reading data
test <- read.delim("clipboard", sep="")
rnames <- test[,1]
test <- data.matrix(test[,2:ncol(test)]) # to matrix
rownames(test) <- rnames
test <- scale(test, center=T, scale=T) # data standarization
test <- t(test) # transpose
## Creating a color palette & color breaks
my_palette <- colorRampPalette(c("forestgreen", "yellow", "red"))(n = 299)
col_breaks = c(seq(-1,-0.5,length=100), # forestgreen
seq(-0.5,0.5,length=100), # yellow
seq(0.5,1,length=100)) # red
# distance & hierarchical clustering
distance= dist(test, method ="euclidean")
hcluster = hclust(distance, method ="ward.D")
# Creating Heat Map
heatmap.2(test,
main = paste( "test"),
trace="none",
margins =c(5,7),
col=my_palette,
breaks=col_breaks,
dendrogram="row",
Rowv = as.dendrogram(hcluster),
Colv = "NA",
key.xlab = "Concentration (index)",
cexRow =0.6,
cexCol = 0.8,
na.rm = TRUE )
解决方案：使用color_branches包中的dendextend函数（或set函数，带有“ branches_k_color”，“ k”和“ value”参数）。
首先，我们需要将数据放入R并准备好相关对象的创建（这部分与问题中的代码相同：]
test <- read.delim("clipboard", sep="")
rnames <- test[,1]
test <- data.matrix(test[,2:ncol(test)]) # to matrix
rownames(test) <- rnames
test <- scale(test, center=T, scale=T) # data standarization
test <- t(test) # transpose
## Creating a color palette & color breaks
my_palette <- colorRampPalette(c("forestgreen", "yellow", "red"))(n = 299)
col_breaks = c(seq(-1,-0.5,length=100), # forestgreen
seq(-0.5,0.5,length=100), # yellow
seq(0.5,1,length=100)) # red
# distance & hierarchical clustering
distance= dist(test, method ="euclidean")
hcluster = hclust(distance, method ="ward.D")
接下来，我们准备好树状图和热图：
dend1 <- as.dendrogram(hcluster)
# Get the dendextend package
if(!require(dendextend)) install.packages("dendextend")
library(dendextend)
# get some colors
cols_branches <- c("darkred", "forestgreen", "orange", "blue")
# Set the colors of 4 branches
dend1 <- color_branches(dend1, k = 4, col = cols_branches)
# or with:
# dend1 <- set(dend1, "branches_k_color", k = 4, value = cols_branches)
# get the colors of the tips of the dendrogram:
# col_labels <- cols_branches[cutree(dend1, k = 4)] # this may need tweaking in various cases - the following is a more general solution.
# The following code will work on its own once I uplode dendextend 0.18.6 to CRAN - but that can
# take several good weeks until that happens. In the meantime
# Either use devtools::install_github('talgalili/dendextend')
# Or just the following:
source("https://raw.githubusercontent.com/talgalili/dendextend/master/R/attr_access.R")
col_labels <- get_leaves_branches_col(dend1)
# But due to the way heatmap.2 works - we need to fix it to be in the
# order of the data!
col_labels <- col_labels[order(order.dendrogram(dend1))]
# Creating Heat Map
if(!require(gplots)) install.packages("gplots")
library(gplots)
heatmap.2(test,
main = paste( "test"),
trace="none",
margins =c(5,7),
col=my_palette,
breaks=col_breaks,
dendrogram="row",
Rowv = dend1,
Colv = "NA",
key.xlab = "Concentration (index)",
cexRow =0.6,
cexCol = 0.8,
na.rm = TRUE,
RowSideColors = col_labels, # to add nice colored strips
colRow = col_labels # to add nice colored labels - only for qplots 2.17.0 and higher
)
哪个产生此情节：
<< img src =“ https://image.soinside.com/eyJ1cmwiOiAiaHR0cHM6Ly9pLnN0YWNrLmltZ3VyLmNvbS9WcDIzWi5wbmcifQ==” alt =“在此处输入图像描述”>
有关包装的更多详细信息，请查看at its vignette。
p.s .：使标签着色的方法取决于heatmap.2的参数，这应该从maintainer of gplots中进行询问（即：从warnes.net的greg获得）]
update：现在，此答案在qplots 2.17.0中包括新的“ colRow”参数。
这是gplots软件包的维护者。
我在gplots :: heatmap.2函数中添加了两个新参数，分别为'colRow'和'colCol'，以控制行标签和列标签的颜色。这将是gplots 2.17.0的一部分，应在第二天左右提交给CRAN。
我们如何根据元素名称为它们着色？如果我想要varA，var1和var2具有定义的颜色，等等。我是否在矩阵中添加一列我想为其赋予颜色的颜色？还是其他？
非常感谢您的进阶：）