Adding multiple verticle lines to a ggplot2 boxplot-CodePudding

I have the following code:

ggplot(IDRAnew,aes(x=IDRAnew$Condition,y=IDRAnew$Score,color=Group))   
  geom_boxplot(outlier.alpha = 0)   
  geom_vline(aes(xintercept = c(1.5)),linetype = "dotted")   
  facet_wrap(~Reward, scales='free')    
  theme_classic()   
  theme(strip.text = element_text(size=17,face="bold"),
    panel.spacing = unit(2, "lines"),
    plot.title = element_text(face="bold",hjust=0.5,vjust=2,size=17), 
    axis.title = element_text(face="bold"),  
    axis.title.x = element_text(vjust=-1.5,size=17), 
    axis.title.y = element_text(vjust=2.5,size=17),
    axis.text.x = element_text(size=17,face="bold"),
    axis.text.y = element_text(size=17,face="bold"),
    legend.text = element_text(size=17),
    legend.title = element_text(size=17,face="bold"))   
  ggtitle("Reaction Accuracy")   
  xlab("Condition")   
  ylab("Reaction Accuracy")

This gives me the following output:

I want to add another vertical line between SH and Social on each of the plots below.

I tried to search for different ways to do this but was unsuccessful!

Would anybody be able to give me a helping hand?

Minimal Reproducible example of IDRTnew dataset:

structure(list(ID = c("1993", "1993", "1993", "1993", "1993", 
"1993", "1997", "1997", "1997", "1997", "1997", "1997", "19998", 
"19998", "19998", "19998", "19998", "19998", "3122", "3122", 
"3122", "3122", "3122", "3122", "3152", "3152", "3152", "3152", 
"3152", "3152", "330", "330", "330", "330", "330", "330", "354", 
"354", "354", "354", "354", "354", "363", "363", "363", "363", 
"363", "363", "369", "369", "369", "369", "369", "369", "370", 
"370", "370", "370", "370", "370", "375", "375", "375", "375", 
"375", "375", "377", "377", "377", "377", "377", "377", "378", 
"378", "378", "378", "378", "378", "379", "379", "379", "379", 
"379", "379", "380", "380", "380", "380", "380", "380", "381", 
"381", "381", "381", "381", "381", "3862", "3862", "3862", "3862", 
"3862", "3862", "3872", "3872", "3872", "3872", "3872", "3872", 
"388", "388", "388", "388", "388", "388", "390", "390", "390", 
"390", "390", "390", "392", "392", "392", "392", "392", "392", 
"393", "393", "393", "393", "393", "393", "394", "394", "394", 
"394", "394", "394", "395", "395", "395", "395", "395", "395", 
"399", "399", "399", "399", "399", "399", "5512", "5512", "5512", 
"5512", "5512", "5512", "382", "382", "382", "382", "382", "382", 
"1001", "1001", "1001", "1001", "1001", "1001", "1002", "1002", 
"1002", "1002", "1002", "1002", "1003", "1003", "1003", "1003", 
"1003", "1003", "1004", "1004", "1004", "1004", "1004", "1004", 
"1005", "1005", "1005", "1005", "1005", "1005", "1006", "1006", 
"1006", "1006", "1006", "1006", "1007", "1007", "1007", "1007", 
"1007", "1007", "1008", "1008", "1008", "1008", "1008", "1008", 
"1009", "1009", "1009", "1009", "1009", "1009", "1012", "1012", 
"1012", "1012", "1012", "1012", "1013", "1013", "1013", "1013", 
"1013", "1013", "1014", "1014", "1014", "1014", "1014", "1014", 
"1015", "1015", "1015", "1015", "1015", "1015", "1016", "1016", 
"1016", "1016", "1016", "1016", "1017", "1017", "1017", "1017", 
"1017", "1017", "1020", "1020", "1020", "1020", "1020", "1020", 
"1021", "1021", "1021", "1021", "1021", "1021", "1024", "1024", 
"1024", "1024", "1024", "1024", "1025", "1025", "1025", "1025", 
"1025", "1025", "1026", "1026", "1026", "1026", "1026", "1026", 
"1027", "1027", "1027", "1027", "1027", "1027", "1192", "1192", 
"1192", "1192", "1192", "1192", "1422", "1422", "1422", "1422", 
"1422", "1422", "1492", "1492", "1492", "1492", "1492", "1492", 
"1592", "1592", "1592", "1592", "1592", "1592", "1602", "1602", 
"1602", "1602", "1602", "1602", "1642", "1642", "1642", "1642", 
"1642", "1642", "171", "171", "171", "171", "171", "171", "1722", 
"1722", "1722", "1722", "1722", "1722", "1732", "1732", "1732", 
"1732", "1732", "1732", "174", "174", "174", "174", "174", "174", 
"175", "175", "175", "175", "175", "175", "1752", "1752", "1752", 
"1752", "1752", "1752", "1762", "1762", "1762", "1762", "1762", 
"1762", "1782", "1782", "1782", "1782", "1782", "1782", "1802", 
"1802", "1802", "1802", "1802", "1802", "182", "182", "182", 
"182", "182", "182", "184", "184", "184", "184", "184", "184", 
"1852", "1852", "1852", "1852", "1852", "1852", "186", "186", 
"186", "186", "186", "186", "187", "187", "187", "187", "187", 
"187", "188", "188", "188", "188", "188", "188", "1892", "1892", 
"1892", "1892", "1892", "1892", "190", "190", "190", "190", "190", 
"190", "192", "192", "192", "192", "192", "192", "1924", "1924", 
"1924", "1924", "1924", "1924", "193", "193", "193", "193", "193", 
"193", "195", "195", "195", "195", "195", "195", "196", "196", 
"196", "196", "196", "196", "197", "197", "197", "197", "197", 
"197", "1992", "1992", "1992", "1992", "1992", "1992", "19922", 
"19922", "19922", "19922", "19922", "19922", "1999", "1999", 
"1999", "1999", "1999", "1999", "19992", "19992", "19992", "19992", 
"19992", "19992", "199945", "199945", "199945", "199945", "199945", 
"199945", "199949", "199949", "199949", "199949", "199949", "199949", 
"199951", "199951", "199951", "199951", "199951", "199951", "199952", 
"199952", "199952", "199952", "199952", "199952", "19922", "19922", 
"19922", "19922", "19922", "19922", "490", "490", "490", "490", 
"490", "490", "181", "181", "181", "181", "181", "181", "3812", 
"3812", "3812", "3812", "3812", "3812", "199950", "199950", "199950", 
"199950", "199950", "199950", "191", "191", "191", "191", "191", 
"191"), Condition = structure(c(2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 
2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 
2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 
1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L), .Label = c("Money", 
"SH", "Social"), class = "factor"), Score = c(0.221611076, 0.206888887611111, 
0.2319999696, 0.228521740956522, 0.206187486625, 0.220866648533333, 
0.227608773956522, 0.241291721625, 0.24412006376, 0.238473741684211, 
0.2352000951, 0.233545574272727, 0.260041663875, 0.265705879882353, 
0.254225776967742, 0.250256428333333, 0.256172385758621, 0.258117654705882, 
0.218822224977778, 0.219707332097561, 0.216555555666667, 0.2150000135625, 
0.218574478382979, 0.216552615184211, 0.237181836863636, 0.243347841782609, 
0.236708313208333, 0.239999993733333, 0.240576936653846, 0.243055529055556, 
0.226071425785714, 0.234166675111111, 0.247500022333333, 0.26374999275, 
0.249636368363636, 0.192642842, 0.2230799676, 0.233000015052632, 
0.246157909736842, 0.232739137565217, 0.223999977217391, 0.213499954928571, 
0.2318399144, 0.222888787722222, 0.232055505166667, 0.224799911233333, 
0.211857069142857, 0.205277721277778, 0.266269417846154, 0.268956713043478, 
0.260214464857143, 0.265853131441176, 0.253393011392857, 0.253192479884615, 
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0.268714257714286, 0.258478247673913, 0.243666579416667, 0.244777692722222, 
0.240954475, 0.252370286925926, 0.23419988644, 0.213499903772727, 
0.245809521095238, 0.27050002815, 0.269909089227273, 0.27260001885, 
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"tbl", "data.frame"))

CodePudding user response：

Take the xintercept outside of aes then you can pass multiple values to it. That way, you fon't need a second geom_vline call. You can also simplify your code a bit by avoiding the IDRAnew$variable syntax inside aes, and using inheritance in the theme elements.

ggplot(IDRAnew, aes(Condition, Score, color = Group))   
  geom_boxplot(outlier.alpha = 0)   
  geom_vline(xintercept = c(1.5, 2.5), linetype = "dotted")   
  facet_wrap(~Reward, scales = "free")    
  theme_classic(base_size = 17)   
  theme(text = element_text(face = "bold"),
    panel.spacing = unit(2, "lines"),
    plot.title = element_text(hjust = 0.5, vjust = 2), 
    axis.title.x = element_text(vjust = -1.5), 
    axis.title.y = element_text(vjust = 2.5))   
  labs(title = "Reaction Accuracy", x = "Condition", y = "Reaction Accuracy")

CodePudding user response：

You can just add another geom_vline using the following code:

ggplot(IDRAnew,aes(x=IDRAnew$Condition,y=IDRAnew$Score,color=Group))   
  geom_boxplot(outlier.alpha = 0)   
  geom_vline(aes(xintercept = c(1.5)),linetype = "dotted")   
  geom_vline(aes(xintercept = c(2.5)),linetype = "dotted")   
  facet_wrap(~Reward, scales='free')    
  theme_classic()   
  theme(strip.text = element_text(size=17,face="bold"),
        panel.spacing = unit(2, "lines"),
        plot.title = element_text(face="bold",hjust=0.5,vjust=2,size=17), 
        axis.title = element_text(face="bold"),  
        axis.title.x = element_text(vjust=-1.5,size=17), 
        axis.title.y = element_text(vjust=2.5,size=17),
        axis.text.x = element_text(size=17,face="bold"),
        axis.text.y = element_text(size=17,face="bold"),
        legend.text = element_text(size=17),
        legend.title = element_text(size=17,face="bold"))   
  ggtitle("Reaction Accuracy")   
  xlab("Condition")   
  ylab("Reaction Accuracy")

Output: