ggplot2作为线条绘制表格

本文介绍了ggplot2作为线条绘制表格的处理方法，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 29岁程序员，3月因学历无情被辞！ 我想绘制下列数据集： pre $ structure（list（X = structure（c（3L，12L，11L） ，7L，13L，2L，1L， 10L，5L，4L，8L，14L，9L，6L）。标签= c（BUM，DDR，ETB， EXP，HED，HEDOS，KON，LEIT，MAIN，MAT，PER，PMA，，TRA，TRADITION） 因子），Geschaeft = C（0.0468431771894094， 0.0916666666666667，0.0654761904761905，0.0905432595573441，0.0761904761904762， 0.0672097759674134，0.0869565217391304，0.0650887573964497，0.0762250453720508， 0.0518234165067179，0.0561330561330561，0.060077519379845，0.0865384615384615， 0.0628683693516699），Gaststaette = C（0.0855397148676171，0.0604166666666667， 0.0555555555555556，0.0764587525150905，0.0895238095238095，0.0712830957230143， 0.075098814229249，0.0631163708086785，0.0780399274047187，0.0383877159309021， 0.0561330561330561，0.0581395348837209，0.0596153846153846，0.0648330058939096 ），Bank = c（0.065173116089613，0.085416666 6666667，0.0972222222222222， 0.0824949698189135，0.060952380952381，0.0529531568228106，0.0731225296442688， 0.0828402366863905，0.0725952813067151，0.0806142034548944，0.0686070686070686， 0.0503875968992248，0.0807692307692308，0.0550098231827112） Hausarzt = C（0.0712830957230143，0.0833333333333333 ，0.0912698412698413， 0.0704225352112676，0.0628571428571429，0.0672097759674134， 0.106719367588933，0.0710059171597633，0.108892921960073， 0.0940499040307102，0.0852390852390852，0.0794573643410853， 0.0826923076923077，0.110019646365422），Einr..F..Aeltere = C（0.10183299389002， 0.104166666666667，0.107142857142857，0.100603621730382， 0.12，0.116089613034623，0.112648221343874，0.112426035502959， 0.121597096188748，0.0998080614203455，0.118503118503119， 0.131782945736434，0.121153846153846，0.104125736738703） Park = c（0.0855397148676171，0.0666666666666667，0.0912698412698413 ， 0.0804828973843058，0.0704761904761905，0.0672097759674134， 0.0731225296442688，0.0670611439842209，0.0834845735027223， 0.0806142034548944，0.0686070686070686，0.0658914728682171， 0.0884615384615385，0.0609037328094303），Sportstaette = C（0.0855397148676171， 0.0791666666666667，0.0952380952380952，0.0824949698189135， 0.0933333333333333，0.114052953156823，0.0810276679841897， 0.0788954635108481，0.0780399274047187，0.0825335892514395， 0.0831600831600832，0.0852713178294574，0.0884615384615385， 0.1237721021611），OEPNV = C（0.0529531568228106，0.05625 ， 0.0456349206349206，0.0583501006036217，0.0666666666666667， 0.0366598778004073，0.0434782608695652，0.0571992110453649， 0.0344827586206897，0.0633397312859885，0.0478170478170478， 0.062015503875969，0.0519230769230769，0.0235756385068762 ），Mangel.an。 Gruenflaechen = c（0.0692464358452139，0.06458333333333 33， 0.0694444444444444，0.0422535211267606，0.0666666666666667， 0.0692464358452139，0.0711462450592885，0.0749506903353057， 0.0598911070780399，0.0959692898272553，0.0623700623700624， 0.0717054263565891，0.0653846153846154，0.0746561886051081 ）中，Kriminalitaet = C （0.0672097759674134，0.0541666666666667， 0.0476190476190476，0.0422535211267606，0.0628571428571429， 0.0509164969450102，0.0454545454545455，0.0532544378698225， 0.058076225045372，0.072936660268714，0.0602910602910603， 0.063953488372093，0.0461538461538462，0.0648330058939096 ）中， Auslaender = C（0.0244399185336049，0.04375，0.0416666666666667， 0.0663983903420523，0.0228571428571429，0.0509164969450102， 0.0237154150197628，0.0236686390532544，0.0217785843920145， 0.0441458733205374，0.024948024948025，0.0232558139534884， 0.0230769230769231，0.0451866404715128），Umweltbelastung = c（0.0468431771894 094， 0.0479166666666667，0.0476190476190476，0.0402414486921529， 0.0438095238095238，0.0468431771894094，0.0454545454545455， 0.0512820512820513，0.0417422867513612，0.0518234165067179， 0.0478170478170478，0.0445736434108527，0.0442307692307692， 0.0451866404715128），EINR ..f..Kinder = C（0.0753564154786151， 0.075，0.0555555555555556，0.0724346076458753，0.0533333333333333， 0.0794297352342159，0.075098814229249，0.0788954635108481， 0.0598911070780399，0.0460652591170825，0.0977130977130977， 0.0930232558139535，0.0634615384615385 ，0.0451866404715128 ），Einr..f..Jugendliche = c（0.122199592668024,0.0875,0.0892857142857143， 0.0945674044265594,0.11047619047619,0.109979633401222， 0.0869565217391304,0.120315581854043,0.105263157894737， 0.0978886756238004， 0.122661122661123,0.11046511627907， 0.0980769230769231，0.119842829076621）），.Names = c（X， Geschaeft，Gaststaette，Bank，Hausarzt，Einr..F..Aeltere，Park，Sportstaette，OEPNV，Mangel.an.Gruenflaechen， Kriminalitaet，Auslaender，Umweltbelastung，Einr..f..Kinder，Einr..f..Jugendliche），row.names = c（NA， - 14L），class =data.frame） 让它看起来像这张照片（或更好每行都在一个单独的图中），我用Excel创建。 但是我无法弄清楚如何...... 非常感谢你的帮助。 Dominik 更新：这里仅仅是组（BUM，DDR，ETB等）的意思。 解决方案这是@ Andrie解决方案的扩展。它结合了重叠绘图的面貌（偷偷地从学习者博客，我发现它有一个很酷的可视化效果。下面是代码和结果输出。欢迎评论 mdf mdf = transform（mdf，variable = reorder（variable，value，mean），Y = X） ggplot（mdf，aes（x = variable，y = value））+ geom_line（data = transform（mdf，X = NULL），aes（group = Y），color =grey80 ）+ geom_line（aes（group = X））+ facet_wrap（〜X）+ opts（axis.text.x = theme_text（angle = 90，hjust = 1）） 编辑：如果你有分组的milieus，那么更好的呈现方式可能如下： mycols = c（brewer.pal（4，' brewer.pal（4，'Greens'）， brewer.pal（3，'Blues'），brewer.pal（3，'PuRd'）） mdf2 = read.table （textConnection（ V1，V2 ETB，LEIT PMA，LEIT PER，LEIT $ b $ LEIT，LEIT KON，TRADITION TRA，TRADITION DDR，TRADITION TRADITION，TRADITION BUM，MAIN $ b $ MAT MAT，MAIN MAIN，MAIN EXP，HEDOS HED ，HEDOS HEDOS，HEDOS），sep =，，header = T，stringsAsFactors = F） mdf2 = data.frame（mdf2，mycols = mycols） mdf3 = merge（mdf，mdf2，by.x ='X'，by.y =V1） p1 = ggplot（mdf3，aes（x = variable，y = value，group = X，color = mycols））+ geom_line（subset =。（nchar（as.character（X））== 3））+ geom_line（subset =。（nchar（as.character ））！= 3），size = 1.5）+ facet_wrap（〜V2）+ scale_color_identity（name ='Milieus'，breaks = mdf2 $ mycols，labels = mdf2 $ V1）+ theme_bw（）+ opts（axis.text.x = theme_text（angl e = 90，hjust = 1）） I would like to plot the following datasetstructure(list(X = structure(c(3L, 12L, 11L, 7L, 13L, 2L, 1L,10L, 5L, 4L, 8L, 14L, 9L, 6L), .Label = c("BUM", "DDR", "ETB","EXP", "HED", "HEDOS", "KON", "LEIT", "MAIN", "MAT", "PER", "PMA","TRA", "TRADITION"), class = "factor"), Geschaeft = c(0.0468431771894094,0.0916666666666667, 0.0654761904761905, 0.0905432595573441, 0.0761904761904762,0.0672097759674134, 0.0869565217391304, 0.0650887573964497, 0.0762250453720508,0.0518234165067179, 0.0561330561330561, 0.060077519379845, 0.0865384615384615,0.0628683693516699), Gaststaette = c(0.0855397148676171, 0.0604166666666667,0.0555555555555556, 0.0764587525150905, 0.0895238095238095, 0.0712830957230143,0.075098814229249, 0.0631163708086785, 0.0780399274047187, 0.0383877159309021,0.0561330561330561, 0.0581395348837209, 0.0596153846153846, 0.0648330058939096), Bank = c(0.065173116089613, 0.0854166666666667, 0.0972222222222222,0.0824949698189135, 0.060952380952381, 0.0529531568228106, 0.0731225296442688,0.0828402366863905, 0.0725952813067151, 0.0806142034548944, 0.0686070686070686,0.0503875968992248, 0.0807692307692308, 0.0550098231827112), Hausarzt = c(0.0712830957230143, 0.0833333333333333, 0.0912698412698413, 0.0704225352112676, 0.0628571428571429, 0.0672097759674134, 0.106719367588933, 0.0710059171597633, 0.108892921960073, 0.0940499040307102, 0.0852390852390852, 0.0794573643410853, 0.0826923076923077, 0.110019646365422), Einr..F..Aeltere = c(0.10183299389002, 0.104166666666667, 0.107142857142857, 0.100603621730382, 0.12, 0.116089613034623, 0.112648221343874, 0.112426035502959, 0.121597096188748, 0.0998080614203455, 0.118503118503119, 0.131782945736434, 0.121153846153846, 0.104125736738703), Park = c(0.0855397148676171, 0.0666666666666667, 0.0912698412698413, 0.0804828973843058, 0.0704761904761905, 0.0672097759674134, 0.0731225296442688, 0.0670611439842209, 0.0834845735027223, 0.0806142034548944, 0.0686070686070686, 0.0658914728682171, 0.0884615384615385, 0.0609037328094303), Sportstaette = c(0.0855397148676171, 0.0791666666666667, 0.0952380952380952, 0.0824949698189135, 0.0933333333333333, 0.114052953156823, 0.0810276679841897, 0.0788954635108481, 0.0780399274047187, 0.0825335892514395, 0.0831600831600832, 0.0852713178294574, 0.0884615384615385, 0.1237721021611), OEPNV = c(0.0529531568228106, 0.05625, 0.0456349206349206, 0.0583501006036217, 0.0666666666666667, 0.0366598778004073, 0.0434782608695652, 0.0571992110453649, 0.0344827586206897, 0.0633397312859885, 0.0478170478170478, 0.062015503875969, 0.0519230769230769, 0.0235756385068762 ), Mangel.an.Gruenflaechen = c(0.0692464358452139, 0.0645833333333333, 0.0694444444444444, 0.0422535211267606, 0.0666666666666667, 0.0692464358452139, 0.0711462450592885, 0.0749506903353057, 0.0598911070780399, 0.0959692898272553, 0.0623700623700624, 0.0717054263565891, 0.0653846153846154, 0.0746561886051081 ), Kriminalitaet = c(0.0672097759674134, 0.0541666666666667, 0.0476190476190476, 0.0422535211267606, 0.0628571428571429, 0.0509164969450102, 0.0454545454545455, 0.0532544378698225, 0.058076225045372, 0.072936660268714, 0.0602910602910603, 0.063953488372093, 0.0461538461538462, 0.0648330058939096 ), Auslaender = c(0.0244399185336049, 0.04375, 0.0416666666666667, 0.0663983903420523, 0.0228571428571429, 0.0509164969450102, 0.0237154150197628, 0.0236686390532544, 0.0217785843920145, 0.0441458733205374, 0.024948024948025, 0.0232558139534884, 0.0230769230769231, 0.0451866404715128), Umweltbelastung = c(0.0468431771894094, 0.0479166666666667, 0.0476190476190476, 0.0402414486921529, 0.0438095238095238, 0.0468431771894094, 0.0454545454545455, 0.0512820512820513, 0.0417422867513612, 0.0518234165067179, 0.0478170478170478, 0.0445736434108527, 0.0442307692307692, 0.0451866404715128), Einr..f..Kinder = c(0.0753564154786151, 0.075, 0.0555555555555556, 0.0724346076458753, 0.0533333333333333, 0.0794297352342159, 0.075098814229249, 0.0788954635108481, 0.0598911070780399, 0.0460652591170825, 0.0977130977130977, 0.0930232558139535, 0.0634615384615385, 0.0451866404715128 ), Einr..f..Jugendliche = c(0.122199592668024, 0.0875, 0.0892857142857143, 0.0945674044265594, 0.11047619047619, 0.109979633401222, 0.0869565217391304, 0.120315581854043, 0.105263157894737, 0.0978886756238004, 0.122661122661123, 0.11046511627907, 0.0980769230769231, 0.119842829076621)), .Names = c("X","Geschaeft", "Gaststaette", "Bank", "Hausarzt", "Einr..F..Aeltere","Park", "Sportstaette", "OEPNV", "Mangel.an.Gruenflaechen", "Kriminalitaet","Auslaender", "Umweltbelastung", "Einr..f..Kinder", "Einr..f..Jugendliche"), row.names = c(NA, -14L), class = "data.frame")So that it look like this picture (or better with each line in a seperate plot) that I created with Excel.But I can't figure out how...Thanks a lot for your help.DominikUPDATE: Here is just a map of what the groups (BUM,DDR,ETB etc.) mean. 解决方案 This is an extension to @Andrie's solution. It combines the faceting idea with that of overplotting (stolen liberally from the learnr blog, which I find results in a cool visualization. Here is the code and the resulting output. Comments are welcome mdf <- melt(df, id.vars="X")mdf = transform(mdf, variable = reorder(variable, value, mean), Y = X)ggplot(mdf, aes(x = variable, y = value)) + geom_line(data = transform(mdf, X = NULL), aes(group = Y), colour = "grey80") + geom_line(aes(group = X)) + facet_wrap(~X) + opts(axis.text.x = theme_text(angle=90, hjust=1))EDIT: If you have groupings of milieus, then a better way to present might be the followingmycols = c(brewer.pal(4, 'Oranges'), brewer.pal(4, 'Greens'), brewer.pal(3, 'Blues'), brewer.pal(3, 'PuRd'))mdf2 = read.table(textConnection(" V1, V2 ETB, LEIT PMA, LEIT PER, LEIT LEIT, LEIT KON, TRADITION TRA, TRADITION DDR, TRADITION TRADITION, TRADITION BUM, MAIN MAT, MAIN MAIN, MAIN EXP, HEDOS HED, HEDOS HEDOS, HEDOS"), sep = ",", header = T, stringsAsFactors = F)mdf2 = data.frame(mdf2, mycols = mycols)mdf3 = merge(mdf, mdf2, by.x = 'X', by.y = "V1")p1 = ggplot(mdf3, aes(x = variable, y = value, group = X, colour = mycols)) + geom_line(subset = .(nchar(as.character(X)) == 3)) + geom_line(subset = .(nchar(as.character(X)) != 3), size = 1.5) + facet_wrap(~ V2) + scale_color_identity(name = 'Milieus', breaks = mdf2$mycols, labels = mdf2$V1) + theme_bw() + opts(axis.text.x = theme_text(angle=90, hjust=1)) 这篇关于ggplot2作为线条绘制表格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！ 上岸，阿里云！