r - 使用 ggplot 和 scale_x_discrete 在 x 轴上显示一半的值

Question

我有一个数据框：

dput(df):

structure(list(Date = c("2008-11-28", "2008-12-31", "2009-01-30", 
"2009-02-27", "2009-03-31", "2009-04-30", "2009-05-29", "2009-06-30", 
"2009-07-31", "2009-08-31", "2009-09-30", "2009-10-30", "2009-11-30", 
"2009-12-31", "2010-01-29", "2010-02-26", "2010-03-31", "2010-04-30", 
"2010-05-31", "2010-06-30", "2010-07-30", "2010-08-31", "2010-09-30", 
"2010-10-29", "2010-11-30", "2010-12-31", "2011-01-31", "2011-02-28", 
"2011-03-31", "2011-04-29", "2011-05-31", "2011-06-30", "2011-07-29", 
"2011-08-31", "2011-09-30", "2011-10-31", "2011-11-30", "2011-12-30", 
"2012-01-31", "2012-02-29", "2012-03-30", "2012-04-30", "2012-05-31", 
"2012-06-29", "2012-07-31", "2012-08-31", "2012-09-28", "2012-10-31", 
"2012-11-30", "2012-12-31", "2013-01-31", "2013-02-28", "2013-03-29", 
"2013-04-30", "2013-05-31", "2013-06-28", "2013-07-31", "2013-08-30", 
"2013-09-30", "2013-10-31", "2013-11-29", "2008-11-28", "2008-12-31", 
"2009-01-30", "2009-02-27", "2009-03-31", "2009-04-30", "2009-05-29", 
"2009-06-30", "2009-07-31", "2009-08-31", "2009-09-30", "2009-10-30", 
"2009-11-30", "2009-12-31", "2010-01-29", "2010-02-26", "2010-03-31", 
"2010-04-30", "2010-05-31", "2010-06-30", "2010-07-30", "2010-08-31", 
"2010-09-30", "2010-10-29", "2010-11-30", "2010-12-31", "2011-01-31", 
"2011-02-28", "2011-03-31", "2011-04-29", "2011-05-31", "2011-06-30", 
"2011-07-29", "2011-08-31", "2011-09-30", "2011-10-31", "2011-11-30", 
"2011-12-30", "2012-01-31", "2012-02-29", "2012-03-30", "2012-04-30", 
"2012-05-31", "2012-06-29", "2012-07-31", "2012-08-31", "2012-09-28", 
"2012-10-31", "2012-11-30", "2012-12-31", "2013-01-31", "2013-02-28", 
"2013-03-29", "2013-04-30", "2013-05-31", "2013-06-28", "2013-07-31", 
"2013-08-30", "2013-09-30", "2013-10-31", "2013-11-29"), Variables = c("Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS HEDGNAV Index", "Korrelation Fond VS HEDGNAV Index", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX", "Korrelation Fond VS OMXN40 INDEX", 
"Korrelation Fond VS OMXN40 INDEX"), Value = c(0.543281082364437, 
0.527712775086864, 0.408808506706841, 0.429295911936136, 0.413869805084106, 
0.420679623586744, 0.486699140272165, 0.489646951704357, 0.482167209693269, 
0.476479729549409, 0.470318758286474, 0.445944951970354, 0.443399322259001, 
0.450016066763416, 0.426480550286595, 0.423371569969272, 0.45695040799057, 
0.431834238396871, 0.467511327603749, 0.468313995662446, 0.497800239085846, 
0.483892272485929, 0.461639835904741, 0.510817807699252, 0.607556423633874, 
0.635324016630525, 0.677123446245495, 0.64944374391215, 0.699596537117267, 
0.719111914210672, 0.646823640421409, 0.704957947272873, 0.711475445475265, 
0.586745307486821, 0.470189153059282, 0.496157837064293, 0.42998988517485, 
0.410086396037883, 0.434712079537519, 0.451209820436262, 0.439204849230259, 
0.458968925612488, 0.413432511226888, 0.352720907440874, 0.345869742666471, 
0.334881763959464, 0.364193270299568, 0.349099808200996, 0.344120170458358, 
0.321312279605764, 0.36780909986839, 0.45673262559758, 0.441745479560392, 
0.472657754486699, 0.460230404194416, 0.439767509233639, 0.451917786933249, 
0.502203230669925, 0.506491068871301, 0.326404602073815, 0.370217685029334, 
0.718957249305725, 0.692112042544696, 0.653190037272512, 0.600562794023062, 
0.577038569091474, 0.732404727204883, 0.701073092028334, 0.70024367927988, 
0.72760615710821, 0.760476468119078, 0.76494346961595, 0.74516226659605, 
0.739882810581542, 0.747631786072444, 0.726091015017154, 0.701735263628067, 
0.702742836045239, 0.710111045287843, 0.709534887923479, 0.660085062138124, 
0.68714771636425, 0.692372537364393, 0.653723068520449, 0.60219048444321, 
0.611238847460719, 0.615532490318692, 0.629099995821728, 0.696641041953563, 
0.699678945834638, 0.586283865406429, 0.624290876602801, 0.670695507419494, 
0.659774721518298, 0.71774709033755, 0.744569380783438, 0.816379470202153, 
0.837499193100422, 0.836198005977033, 0.84080909869627, 0.855061699261408, 
0.853368178821269, 0.851320045495211, 0.851777606811136, 0.814170256202011, 
0.815730122501554, 0.816104542127919, 0.791916561887601, 0.789829046533777, 
0.798421955468353, 0.768092583652463, 0.775993885935737, 0.782511954882627, 
0.792300623324247, 0.788792623730908, 0.777178875667974, 0.77530100406966, 
0.784668152948575, 0.723029746336548, 0.694308712557347, 0.657753481204441, 
0.656521122619321)), .Names = c("Date", "Variables", "Value"), row.names = c(NA, 
-122L), class = "data.frame")

然后我使用ggplot：

 CorrelationsBenchPlot<-ggplot(corres24mDfMelt, aes(x=Date,y=Value,group=Variables))+
  geom_line(aes(linetype=Variables,colour=Variables), size=1)+
  scale_y_continuous(breaks=seq(0.3,0.9,0.1),limits=c(0.3,0.9))+
  scale_x_discrete(breaks = corres24mDfMelt$Date[c(TRUE,FALSE)])+
  scale_colour_manual(values=c("black", "red", "green"))+theme_gdocs()+
  theme(axis.text.x  = element_text(angle=-90, hjust=0.5, size=8,colour="black",face="bold"),
        axis.text.y  = element_text(size=8,colour="black",face="bold"),
        legend.text = element_text(colour="black", size = 12, face = "bold"),
        legend.background = element_rect(fill="gray90", size=.5, linetype="dotted"), 
        plot.title = element_text(size = rel(1.6),face = "bold"),
        axis.title.y = element_blank(),
        axis.title.x=element_blank(),
        legend.title=element_blank(),
        legend.position=c(0.3, 0.11), 
        legend.position="none",
        legend.box="vertical")+
  labs(title = "2 Year Rolling Correlation\n")

所以我想通过使用在 x 轴上显示每个第二个字符值scale_x_discrete(breaks = corres24mDfMelt$Date[c(TRUE,FALSE)])，但它不起作用，我得到了所有 x 轴值。

我究竟做错了什么？

最好的祝福！

score 3 · Accepted Answer

中的值corres24mDfMelt$Date不是唯一的，而是重复的（每个日期有两个值）。因此，该命令corres24mDfMelt$Date[c(TRUE,FALSE)]仍然返回所有可能的值。

您必须以unique日期为基础：

scale_x_discrete(breaks = unique(corres24mDfMelt$Date)[c(TRUE,FALSE)])

在此处输入图像描述

r - 使用 ggplot 和 scale_x_discrete 在 x 轴上显示一半的值

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