Show half of the values on x-axis with ggplot and scale_x_discrete

StackOverflow https://stackoverflow.com/questions/20837435

  •  22-09-2022
  •  | 
  •  

Question

I have a dataframe:

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")

I then use 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")

So I want to show each second character value on x-axis by using scale_x_discrete(breaks = corres24mDfMelt$Date[c(TRUE,FALSE)]), but it doesnt work and I get all the x-axis values.

What am I doing wrong?

Best Regards!

Was it helpful?

Solution

The values in corres24mDfMelt$Date are not unique but duplicated (you have two values per date). Hence, the command corres24mDfMelt$Date[c(TRUE,FALSE)] still returns all possible values.

You have to use the unique dates as a basis:

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

enter image description here

Licensed under: CC-BY-SA with attribution
Not affiliated with StackOverflow
scroll top