带预先计算值的geom_boxplot绘图错误 [英] geom_boxplot drawing error with precomputed values
本文介绍了带预先计算值的geom_boxplot绘图错误的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
mydata< -structure（list（v_rank = 1：100）这个脚本根据预先计算的数据生成boxplot ，最小= C（1876.12908723494,525.833257030355，
479.174444926073,413.317971868729,283.212605297879,272.271743111746，
271.218577609491,261.097920232602,249.848244413854,239.6826693619，
221.953200543177,220.672797573803,217.788754899515,209.693597246165，
207.920376492108 ，206.305695354979,205.224940348855,198.158941191935，
196.768964078812,192.524762910127,190.659747088907,187.313079645817，
184.003802843274,181.124789727041,172.404693867801,168.185940418452，
162.525847977172,159.766160562022,159.47498997248,158.707407613974，
156.670643391483,154.782348653747 ，151.120608890216,148.537185644508，
147.418985792071,144.192949577012,143.081876591813,138.306500760138，
138.071720969489,135.819373238595,131.268228360837,131.211745493362，
129.475958752641,128.994697005825,126.919520316827,125.131265913884，
123.530137623 397,119.30326498362,118.928750988775,116.785274187946，
112.196408614492,109.613414596662,108.0200018691,103.845334903546，
101.304467892935,100.630402666552,99.4843966733682,98.5423453987657，
95.1549453652298,93.7292405692186,92.1425963507161,88.392923177316，
86.5435376677445,84.2370997228235， 81.8582235361675,80.7147556864089，
79.9095336240098,78.099293257082,77.444818889996,77.1554419990025，
76.1887950832748,75.765742105877,74.5715550271922,74.4494960879874，
73.0841135453694,72.6275007405538,71.9226468496817,71.5061513708144，
70.8352606944726,70.3525118381674,69.7966653875959， 69.7848999118085，
68.7929488062417,68.5934402557501,67.6439262767344,66.0852928683046，
65.5502632169449,65.0385479217237,62.8960922184903,62.842868824982，
61.6430225651763,60.4182651467017,58.0527914522183,54.5733785363583，
51.8253107330044,51.5017948039077,49.3949677412271,44.4040392215262，
39.0000000000002,38.0000000000002），mean = c（8935.04834297135，
3438.53136055906,1370.10037064766,696.649339732745,564.855550869384，
477.749012732246,428.230275841222,396.2810212305,365.13402841522，
348.101058211078,329.525549400666,312.655267601672,298.714290600488，
286.578596825919,274.745155007507,265.597528393185,257.285214286721，
248.522991823508,239.359718910267,231.499756562578,224.770918544173，
217.887544860738,211.93512246229,205.700872047368,200.961757233366，
195.483220118819,190.703032490177,186.38611573552,183.232451708758，
179.680100025236,175.530838577876,172.143924929885,168.603751064018，
165.531924095968,162.821230088091,159.966306235412,157.276891856026，
154.718502961082,152.373606667626,149.793054166436,147.183183846565，
144.697301211638,142.092698673904,139.325636562338,136.985294657696，
134.884798028695,132.553014911682,129.708010287681,127.335105410515，
124.666660146052， 122.198967268253,119.658340298511,116.91633635842，
114.585295497153,111.794558546531,109。 348226917333,107.359283476062，
105.505531018795,103.599182793896,101.330969375811,99.2715636318623，
96.8198217584668,94.4018562740329,91.6021612575079,88.8560628257584，
86.2825680244354,84.6557538283325,83.1538874988065,81.8670731558834，
80.646504385465,79.5552381339603,78.6038624869326， 77.8254005050736，
77.0633271181373,76.2307825731926,75.5818495078455,74.9159235572713，
74.2970580048307,73.7608647918991,73.1324988412481,72.4781145905903，
71.8682133108331,71.2002174199292,70.513258124492,69.7865642378299，
68.9249679265053,68.0937017609885,67.2946458442807,66.2734718903334，
65.5194270252636,64.616142038666,63.3815533937079,61.6228877586886，
59.3146024340077,54.6871823375137,53.4142211437341,52.2392567481353，
48.4217638762252,42.5111837553523,40.7700954890499），中值= C（9814.40198510858，
3116.03711391275,1075.34902925081,673.838430955518 ，545.182921010037，
469.385842176791,416.33971886279,391.928714019644,363.610825228356，
348.167435758967,333.991060074654,314.269940600539,298.076343382389，
289.621613390752,278.280673551311,265.045605562845,257.531074315465，
250.654024557183,238.475372323999,231.249049068254,225.369614181594，
217.30045454174,210.62004470785,205.125786317327,200.071352506748，
193.766926196028， 189.43090014115,186.005954812098,183.144335619686，
179.336627990153,175.459033786895,172.101776417078,168.082171205195，
164.87350114018,163.0866752049,159.079687930539,156.794367244073，
155.025803017927,152.225447389848,149.738781054841,146.655021999848，
143.568556751724,141.49663985492， 138.771902285413,136.625694031028，
134.478260782788,132.466577693098,129.500757141275,126.915278355084，
124.877995672493,121.658540202601,119.197416394838,116.795154251343，
114.781249998192,111.860236693927,109.202517049202,106.926158862568，
105.409934963418,103.651881321872,101.259922781486， 99.5075568481973，
96.8708296894636,94.2131873866587,91.6713809 113473,88.8877315210602，
86.5959609936891,84.6564926236535,83.0706199616536,81.8338750812769，
80.4904194574623,79.501385404566,78.5601829584153,77.964098030266，
76.9330786117685,76.1180566937014,75.4631032445209,74.867552690578，
74.1822043037015,73.8209530924406,73.1141361264409， 72.4759524530703，
71.7175520392203,71.037938525555,70.4543040600221,69.7018063042958，
68.9299758261986,68.0825783837955,67.2852741246417,66.3571510484087，
65.5355188281136,64.8188102941395,63.4951682075293,61.8032737668676，
59.2751489826056,54.6139464513163,53.3158469970988,52.2498721906628，
48.1225168815051,42.4170341449923,40.8497627061483），最大值= C（10147.8592830916，
8633.90688162628,4886.70192987259,1240.91225422784,1089.08051129437，
742.719356156879,683.171612433623,578.593555269702,497.93606268059，
476.736825787664,409.969180375468,389.676300445944 ，381.794925302163，
357.435324255315,355.440016611572,351.494592111432,348.922507989906，
342.66 97349814,325.836862890568,272.490173315169,259.108318277361，
246.67353086611,241.084957301967,231.595391911806,228.493098288313，
224.413217462653,219.814039785869,206.939679326569,206.832822873075，
204.588105225262,191.159016060565,189.247627946495,185.888373894867，
179.896261122406， 178.4706325079,174.739278352249,173.273333806994，
170.82302532665,168.998600410821,167.186223006948,162.188512084591，
158.981616143302,157.948216962222,153.895398821425,152.404490394739，
152.29624128978,151.757695059315,151.681549938741,148.639740700113，
136.958110443491,134.270180841863， 133.893910030369,126.646788409391，
125.055039316004,121.287517319267,117.015374509952,116.36527440479，
113.699942971893,111.979991137726,108.240534045998,105.985702213076，
104.322725137889,100.974271559617,99.5096167709053,95.2936620796326，
92.062366512545,90.0342406215312,89.6481410473251， 87.1324204227002，
86.8589880937485,83.8473315574837,83.4339147193383,82 0.0475214795012，
81.0745398315444,79.3887304257836,78.8784148261601,77.4614289529577，
77.0771790476472,76.0668242500696,75.5540036829177,75.4621857290579，
75.1311008651877,74.2673199628139,74.2641997252619,73.5571399399056，
72.894975554323,71.5629969887197,71.4068442120744,69.2509007389552 ，
68.5602150275453,67.5652881735352,66.5751462232598,65.5641149484878，
65.2163952942519,58.8526259048984,55.9301169855317,54.7251125558506，
53.3473055854337,46.7221311218048,43.7096043155307），SD = C（1920.61995076318，
2071.90462753791,846.925532656194， 166.304459052339,122.67856721787，
81.8151099480816,73.2074776878918,61.8626056929879,45.6856024744788，
43.9017650562536,36.9989421854618,33.3517567028942,32.1410405122589，
28.4758117549672,27.2385799664792,26.2706694900935,24.8927806414279，
22.8309322770636,19.8543548064944,17.0858748338659， 14.8944478364513，
13.9737233320454,13.6956203984614,12.5761524668905,11.7549301732758，
11.0988662535 768,10.6547736595848,9.76351153623029,9.67890144083554，
8.92810457440155,8.25769486510607,7.54133350871369,6.94842881555269，
6.93147596748886,7.07317885442362,7.07778605646362,6.55489414156632，
6.75841318729736,6.46389598231023,6.15064520603789,6.00065720940157，
6.03502938812419， 5.8465959548099,5.53045143365509,5.6569022817063，
5.56619691573112,5.30620580297752,5.4766542946062,4.75121437486975，
4.13369122071181,4.41131211773525,4.10508635820112,3.82638153445188，
3.68736674916447,3.52897983983376,3.41037506985167,3.22536343697251，
3.10065674420964,3.03330450751443， 2.9904932686081,2.93861988370156，
3.16712174539256,3.07383178775358,3.13846734678265,2.90733636918161，
2.57176797270246,2.23187444725688,2.29607813738596,2.08303964064532，
1.80338138606924,1.62612534909916,1.54707708046367,1.49240001940341，
1.40939977389337,1.27823705485513,1.21922358651095， 1.12806129340388，
1.13010155946996,1.11928430703033,1.04558731836885,1.14 995957788824，
1.12521793647851,1.07795527050143,1.01369234716728,1.05350541107726，
1.0912874094653,1.05339501229828,1.11468264457309,1.09260544728007，
1.14912216836883,1.22303957638847,1.25937354563769,1.52953327119146，
1.85172364578356,1.26978526426211,0.861852422307316,1.04440221036651，
1.76492071874432,1.46775534258985,1.3260977569218），YMIN = C（7014.42839220817，
1366.62673302115,523.174837991462,530.344880680406,442.176983651514，
395.933902784165,355.02279815333,334.418415537512,319.448425940741，
304.199293154824,292.526607215204,279.303510898778 ，266.573250088229，
258.102785070952,247.506575041027,239.326858903091,232.392433645293，
225.692059546444,219.505364103772,214.413881728712,209.876470707722，
203.913821528692,198.239502063828,193.124719580478,189.20682706009，
184.384353865242,180.048258830592,176.62260419929,173.553550267923 ，
170.751995450834,167.27314371277,164.602591421172,161.655322248466，
158.600448128479 ，155.748051233667,152.888520178949,150.72199771446，
147.960089773785,145.909710685316,143.642408960398,141.182526637163，
138.662271823514,136.246102719094,133.795185128683,131.32839237599，
129.318601112963,127.246809108704,124.231355993075,122.583891035645，
120.532968925341,117.787655150518 ，115.55325394031,113.089954823969，
110.897928747988,108.265578706697,105.937851847482,104.133920039089，
102.404874274585,100.565878286382,98.3404761072033,96.3329437481607，
93.6527000130742,91.3280244862793,88.4636939107252,85.9487264565768，
83.7108000517329,82.4238793810756,80.8578093614205 ，79.7840335152381，
78.8431229993958,77.9291127848611,77.0567854064689,76.3330004856702，
75.653927344244,74.9525455183375,74.3626259213346,73.7878622638674，
73.1669564453608,72.6415804848688,72.0869115228792,71.328155012702，
70.7429953743546,70.1222621494278,69.4995657773247,68.7330588267527 ，
67.83368051704,67.0403067486902,66.1799631997076,65.1808664 430534，
64.3703048568947,63.3931024622775,62.1221798480702,60.0933544874972，
57.4628787882242,53.4173970732516,52.5523687214268,51.1948545377688，
46.6568431574809,41.0434284127625,39.4439977321281），YMAX = C（10855.6682937345，
5510.43598809697,2217.02590330385 ，862.953798785084,687.534118087253，
559.564122680328,501.437753529113,458.143626923488,410.819630889699，
392.002823267331,366.524491586128,346.007024304567,330.855331112747，
315.054408580886,301.983734973986,291.868197883278,282.177994928149，
271.353924100571,259.214073716761,248.585631396444 ，239.665366380624，
231.861268192783,225.630742860751,218.277024514259,212.716687406642，
206.582086372396,201.357806149762,196.14962727175,192.911353149594，
188.608204599638,183.788533442982,179.685258438599,175.552179879571，
172.463400063457,169.894408942514,167.044092291876,163.831785997593 ，
161.47691614838,158.837502649936,155.943699372474,153.183841055966，
150.732330599762,14 7.939294628713,144.856087995993,142.642196939403，
140.450994944426,137.859220714659,135.184664582288,132.086319785385，
128.800351366764,126.610279385988,123.763426656712,120.742717892872，
118.272662246317,115.323538386364,112.758601987185,110.584646913034，
108.606187763004,106.63248730141， 104.32146264442,102.210183515564，
99.9869435038593,97.4756880617865,94.7406286042905,91.76339919494，
88.8543359971379,86.8876282755894,85.4499656361925,83.9501127965287，
82.4498857715343,81.1813634830595,80.1509395673963,79.3178005244771，
78.4727268920307,77.5090196280478,76.8010730943565， 76.0439848506752，
75.4271595643007,74.8801490989295,74.1780861596169,73.6280741684785，
72.9934312473116,72.2781726904307,71.5269504716593,70.8400696489072，
70.0162553359706,69.1470967732868,68.4093284888538,67.3660773376135，
66.6685491936324,65.8391816150544,64.6409269393456,63.1524210298801，
61.1663260797913,55.9569676017759,54.2760735660415,53.2836589名称= c（v_rank，
min，mean，med，max，sd，ymin ，ymax），row.names = c（NA，
-100L），class =data.frame）
代码：
library（ggplot2）
kk <-ggplot（mydata，aes（x = v_rank，lower = mean-sd，upper = mean + sd，
middle = mean，ymin = min，ymax = max））
kk -kk + geom_boxplot（stat =identity）
rk < - rk + coord_trans（x =log10，y =log10）
rg
由ggplot2（版本0.9.2.1）和R（2.15.2 64bit）生成的图形是完全破碎，我不明白为什么：
解决方案
由于您自己提供摘要数据，因此您需要提供分组变量：
$ b
ggplot（mydata，aes（x = v_r ank，lower = mean-sd，upper = mean + sd，
middle = mean，ymin = min，ymax = max，group = v_rank））+
geom_boxplot（stat =identity）+
coord_trans（x =log10，y =log10）
Here my script to generate boxplot from precomputed data :
mydata <-structure(list(v_rank=1:100,min=c(1876.12908723494,525.833257030355,
479.174444926073,413.317971868729,283.212605297879,272.271743111746,
271.218577609491,261.097920232602,249.848244413854,239.6826693619,
221.953200543177,220.672797573803,217.788754899515,209.693597246165,
207.920376492108,206.305695354979,205.224940348855,198.158941191935,
196.768964078812,192.524762910127,190.659747088907,187.313079645817,
184.003802843274,181.124789727041,172.404693867801,168.185940418452,
162.525847977172,159.766160562022,159.47498997248,158.707407613974,
156.670643391483,154.782348653747,151.120608890216,148.537185644508,
147.418985792071,144.192949577012,143.081876591813,138.306500760138,
138.071720969489,135.819373238595,131.268228360837,131.211745493362,
129.475958752641,128.994697005825,126.919520316827,125.131265913884,
123.530137623397,119.30326498362,118.928750988775,116.785274187946,
112.196408614492,109.613414596662,108.0200018691,103.845334903546,
101.304467892935,100.630402666552,99.4843966733682,98.5423453987657,
95.1549453652298,93.7292405692186,92.1425963507161,88.392923177316,
86.5435376677445,84.2370997228235,81.8582235361675,80.7147556864089,
79.9095336240098,78.099293257082,77.444818889996,77.1554419990025,
76.1887950832748,75.765742105877,74.5715550271922,74.4494960879874,
73.0841135453694,72.6275007405538,71.9226468496817,71.5061513708144,
70.8352606944726,70.3525118381674,69.7966653875959,69.7848999118085,
68.7929488062417,68.5934402557501,67.6439262767344,66.0852928683046,
65.5502632169449,65.0385479217237,62.8960922184903,62.842868824982,
61.6430225651763,60.4182651467017,58.0527914522183,54.5733785363583,
51.8253107330044,51.5017948039077,49.3949677412271,44.4040392215262,
39.0000000000002,38.0000000000002),mean=c(8935.04834297135,
3438.53136055906,1370.10037064766,696.649339732745,564.855550869384,
477.749012732246,428.230275841222,396.2810212305,365.13402841522,
348.101058211078,329.525549400666,312.655267601672,298.714290600488,
286.578596825919,274.745155007507,265.597528393185,257.285214286721,
248.522991823508,239.359718910267,231.499756562578,224.770918544173,
217.887544860738,211.93512246229,205.700872047368,200.961757233366,
195.483220118819,190.703032490177,186.38611573552,183.232451708758,
179.680100025236,175.530838577876,172.143924929885,168.603751064018,
165.531924095968,162.821230088091,159.966306235412,157.276891856026,
154.718502961082,152.373606667626,149.793054166436,147.183183846565,
144.697301211638,142.092698673904,139.325636562338,136.985294657696,
134.884798028695,132.553014911682,129.708010287681,127.335105410515,
124.666660146052,122.198967268253,119.658340298511,116.91633635842,
114.585295497153,111.794558546531,109.348226917333,107.359283476062,
105.505531018795,103.599182793896,101.330969375811,99.2715636318623,
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61.1663260797913,55.9569676017759,54.2760735660415,53.2836589585018,
50.1866845949695,43.9789390979422,42.0961932459717)),.Names=c("v_rank",
"min","mean","med","max","sd","ymin","ymax"),row.names=c(NA,
-100L),class="data.frame")
And the code:
library("ggplot2")
rk<- ggplot(mydata, aes(x = v_rank, lower = mean - sd, upper = mean + sd,
middle = mean, ymin = min, ymax = max ))
rk <- rk + geom_boxplot(stat="identity")
rk<- rk + coord_trans(x = "log10", y = "log10")
rk
The drawing generated by ggplot2 (version 0.9.2.1) and R (2.15.2 64bit) is totally broken, i don't understand why :
解决方案
Because you provide the summary data yourself, you need to provide a grouping variable:
ggplot(mydata, aes(x = v_rank, lower = mean - sd, upper = mean + sd,
middle = mean, ymin = min, ymax = max, group=v_rank)) +
geom_boxplot(stat="identity") +
coord_trans(x = "log10", y = "log10")
这篇关于带预先计算值的geom_boxplot绘图错误的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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