我有以下R代码：
library("ggplot2")
x=read.table('some_file')
df <- data.frame(V1 = x$V1, V2 = x$V2)
jpeg('file.jpg',width=1600,height=800)
ggplot(df, aes(x=as.numeric(row.names(df)), y=V1)) +
geom_bar(stat="identity", fill="grey", width=0.7) +
geom_errorbar(aes(ymin = V1 - V2, ymax = V1 + V2), width=0.5) +
scale_x_continuous(breaks=c(1,seq(1,length(x$V1),1)), expand=c(0,0)) +
theme(axis.text.x=element_text(size = 9, angle = 90, vjust = 0.5, hjust=8.5)) + xlab("position") + ylab("Y axis") + labs(title = "Title")
dev.off
我需要x轴标签，即数字1,2,3 ......位于y = 0轴或正下方。我尝试过玩耍，但无论我用它做什么价值，它都行不通。例如，在hjust = 8.5的情况下，从100到167的数字是我需要它们的数字，但之前的数字是在y = 0轴之上的数字。
有人可以帮忙吗？以下是有问题的两个列向量：
-0.11285825 0.0134043866
-0.00427275 0.0012140211
-0.00825875 0.0025256419
-0.08434275 0.0153227983
0.111627 0.0149667631
-0.00591775 0.0028993564
-0.00710475 0.0014442042
-0.00660175 0.0005508105
0.1259935 0.0176350505
-0.02468425 0.0049306177
-0.0046885 0.0005749567
-0.002225 0.0009090044
-0.01276025 0.0040398386
-0.11821675 0.0699125335
-0.0035805 0.0010421268
-0.00276825 0.0011773666
-0.014487 0.0004579208
-0.06269425 0.0181558159
-0.0028185 0.0004570594
0.00163075 0.0004970686
-0.003703 0.0005301641
-0.0059895 0.00101644
-0.00164725 0.0005756263
-0.001748 0.0008530894
-0.00265675 0.0001855982
0.0617135 0.0148209217
-0.20685225 0.0116178605
0.001209 0.0015875276
-0.000297 0.0006022711
0.00447675 0.0012625121
-0.00088225 0.0040488959
-0.1444145 0.0142768668
-0.01167825 0.0012083802
0.01813575 0.0031464967
-0.007798 0.0106417775
-0.18151 0.0073565153
0.36773125 0.0181246164
0.562059 0.1015533768
-0.00886525 0.0131807785
0.174133 0.0431058507
0.57896425 0.2444875207
-0.8418545 0.138881625
0.02951775 0.0654937622
-0.12007175 0.034225026
-1.6405275 0.5553336954
-1.88679875 0.7850254112
-0.231041 0.0164808312
-0.1266595 0.0617940077
-0.19167575 0.0507706792
-1.055467 0.4429050182
-0.116364 0.0357189981
-0.19901725 0.0509971349
-1.7670315 0.1542821762
-0.10039375 0.0352431413
-0.11883575 0.0114192525
-0.3665885 0.1246847809
-1.9132725 0.5623975368
-0.31451275 0.1145112995
-0.11942425 0.0375176069
-0.04436425 0.0204052159
-0.0098315 0.0023110857
-0.007022 0.0030733554
-0.1755365 0.1161738267
-0.081695 0.0216418659
-0.06446825 0.006684648
-0.5098405 0.5403101751
-0.05826375 0.1454962774
-0.28179575 0.0358286362
-0.201353 0.0584529251
-0.7666615 0.143889849
-3.36481375 0.2914767538
-0.358104 0.0669525527
-0.17513975 0.0110406376
-3.76037275 0.7028178063
-2.91671325 0.0631300928
-0.382157 0.0164434459
0.28983275 0.1447389319
-0.1522485 0.6711400536
-0.21333325 0.0195889096
-0.135311 0.019034877
-2.54135775 0.1089711993
-1.02318925 0.096562207
-1.52091 0.1405089663
-9.649117 0.2311164764
-0.36733 0.0339848999
-0.89744525 0.0296846006
-0.69533325 0.0863715014
-0.30171975 0.0261684616
-0.0915285 0.0101355205
0.11442675 0.0466793911
-1.05659675 0.1963164192
-0.01967525 0.0056679875
0.00163325 0.0047527004
-0.008276 0.035198076
-0.070888 0.0277879036
0.0003515 0.0048609681
-0.00769575 0.0051084448
-0.0628 0.0277348014
-0.00517225 0.0050401386
-0.002678 0.0015185852
0.000215 0.0106790497
0.0303 0.0148194041
0.0157995 0.0098726426
-0.01274725 0.0026780256
-0.00394375 0.0006370312
0.00103025 0.0003137287
-0.00834475 0.0004048057
-0.010351 0.0012089266
-0.00144675 0.0003594665
-0.019411 0.0143840738
-0.01995875 0.0014986806
-0.00944875 0.0008936362
-0.00012 0.0001115437
-0.017019 0.0007678965
-0.0146025 0.0058825609
-0.00330075 0.000519175
0.0034255 0.001374384
-0.03580625 0.0039048393
-0.0008405 0.0010331095
0.006152 0.000903144
0.08482425 0.0169920168
0.013677 0.0030233132
-0.00002725 0.0015909331
0.15528725 0.0129757832
0.0062995 0.000357788
-0.0886525 0.0078460151
0.01510875 0.0010974966
0.00863325 0.0004734867
0.32934625 0.0152748957
0.067786 0.0029502796
0.00300625 0.0004219979
0.04193375 0.0018489418
-0.0000245 0.009160398
0.3010235 0.0192036334
-0.01484775 0.0286606604
-0.183226 0.050428693
-0.026292 0.005153877
0.53286075 0.050951844
-1.5150745 0.2209543557
0.2785605 0.0408203229
0.4550995 0.027406819
-0.3947985 0.4327885451
0.23381825 0.2238431016
-0.22846625 0.0188915484
-0.31804825 0.2029861787
-1.7850215 0.5281493487
-1.67640075 0.2481773479
-0.661103 0.0595275708
-4.67910175 1.0021441745
-0.22585775 0.2284251402
0.4079195 0.2637898013
-0.82208 0.1246448589
-3.8169575 0.2426232257
-5.66482025 0.5167259264
-0.65876175 0.1498171905
-3.275229 0.4303526931
-0.80324675 0.11413495
-2.2098325 0.1510774807
-0.8855575 0.6300580366
-4.4606575 0.2082186001
0.95024225 0.1393782289
-0.26379 0.0212151113
-0.436935 0.1433744083
-2.34355175 0.0412962458
0.60204025 0.0836441211
-0.16453425 0.0148762548
0.4368215 0.1924153651
答案 0 :(得分：3)
手动放置将为您提供完全控制。此外，x已经是data.frame read.table()生成data.frames。
library(ggplot2)
df <- read.table('somefile')
jpeg('file.jpg',width=1600,height=800)
gg <- ggplot(df, aes(x=as.numeric(row.names(df)), y=V1))
gg <- gg + geom_bar(stat="identity", fill="grey", width=0.7)
gg <- gg + geom_errorbar(aes(ymin = V1 - V2, ymax = V1 + V2), width=0.5)
gg <- gg + geom_text(data=data.frame(x=1:length(df$V1)),
aes(x=x, y=0, label=x), size=2.5, angle=90, hjust=0)
gg <- gg + scale_x_continuous(expand=c(0,0))
gg <- gg + labs(x="position", y="Y axis", title="Title")
gg <- gg + theme(axis.ticks.x=element_blank())
gg <- gg + theme(axis.text.x=element_blank())
gg
dev.off()
system("open file.jpg")