How to mirror two group plot compositions-CodePudding

I already have the following plot, which I am already satisfied by

library(ggplot2)
library(wesanderson)
library(ggsignif)
library(ggdist)

 
dat1 <- as.data.frame(c(175.070, 279.760, 310.120, 454.370, 356.190, 398.720, 394.790, 427.940, 450.090, 452.240, 344.630, 374.450, 401.810,
          366.250, 455.150, 455.150, 284.820, 325.640, 437.840, 455.150, 455.150, 454.900, 433.970, 346.830, 455.050, 455.150,
          448.740, 455.150, 455.000, 455.150, 243.920, 295.660, 282.430, 305.190, 368.580, 348.440, 437.100, 453.180, 454.100,
          44.464, 420.280, 455.150, 427.250, 101.490, 454.100, 454.810, 323.690, 454.410, 235.160, 294.870, 455.150, 330.460,
          289.610, 236.310, 454.810, 299.020,  29.289,  39.988, 348.340, 455.150, 439.540, 409.910, 440.310, 433.090, 455.150,
          198.890, 454.100, 346.370, 261.780, 280.760, 427.180, 455.150, 233.740, 334.040, 452.240, 411.890, 378.310, 354.410,
          347.670, 439.970))
colnames(dat1) = "value"


dat1$group <- rep(NA,nrow(dat1))
for (i in 1:nrow(dat1)){
  if (i <= 40){
    dat1[i,]$group <- print('C')
  }else{
    dat1[i,]$group <- print('I')
  }
}

dat1$group <- factor(dat1$group, levels = c('C','I'))

pltt <- rev(wes_palette(n=2, name="Darjeeling1"))

#Model 1

#M1 Loglikelihood
p1 <- ggplot(dat1, aes(x=group, y=value, color=group, fill=group))  
  scale_fill_manual(values=pltt, guide = "none")  
  scale_color_manual(values=pltt, guide = "none")  
  stat_halfeye(adjust = .33, width = .6, alpha=0.3, position = position_nudge(x=0.3))  
  geom_jitter(shape=16, position=position_jitter(0.1), alpha=0.5)  
  geom_signif(comparisons = list(c("C", "I")), tip_length = -0.01, y_position = -0.5, 
              map_signif_level=TRUE, test="wilcox.test", color = "black")  
  geom_boxplot(position = position_nudge(x=0.2), width=0.05,outlier.shape = NA, fill=alpha(0.2))  
  ylim(0,460)  
  theme(legend.position = "none",
        axis.text=element_text(size=10),
        axis.title=element_text(size=12),
        plot.title = element_text(hjust = 0.5,size=14,face="bold"))  
  theme_light()  
  ggtitle("Data distribution")

Now I was wondering whether there is a way to invert the order or mirror this composition into something like this.

I have read this post and I see there is a way of doing it with density plots, but I was wondering if anyone knows a way of doing it in composites of plots like mine.

Thanks in advance!

CodePudding user response：

An option could be by using each geom with a subset of your group. To get the stat_halfeye on the right side you could use the argument side for both. Here is a reproducible example:

library(ggplot2)
library(wesanderson)
library(ggsignif)
library(ggdist)

ggplot()  
  stat_halfeye(data = subset(dat1, group == "C"),
               aes(x=group, y=value, color=group, fill=group), 
               adjust = .33, width = .6, alpha=0.3, position = position_nudge(x=-0.3), side = "left")  
  geom_jitter(data = subset(dat1, group == "C"),
              aes(x=group, y=value, color=group, fill=group),
              shape=16, position=position_jitter(0.1), alpha=0.5)   
  geom_boxplot(data = subset(dat1, group == "C"),
               aes(x=group, y=value, color=group, fill=group), 
               position = position_nudge(x=-0.2), width=0.05,outlier.shape = NA, fill=alpha(0.2))  
  stat_halfeye(data = subset(dat1, group == "I"),
               aes(x=group, y=value, color=group, fill=group), 
               adjust = .33, width = .6, alpha=0.3, position = position_nudge(x=0.3), side = "right")  
  geom_jitter(data = subset(dat1, group == "I"),
              aes(x=group, y=value, color=group, fill=group),
              shape=16, position=position_jitter(0.1), alpha=0.5)  
  geom_boxplot(data = subset(dat1, group == "I"),
               aes(x=group, y=value, color=group, fill=group), 
               position = position_nudge(x=0.2), width=0.05,outlier.shape = NA, fill=alpha(0.2))  
  geom_signif(data = dat1,
              aes(x=group, y=value, color=group, fill=group),
              comparisons = list(c("C", "I")), tip_length = -0.01, y_position = -0.5, 
              map_signif_level=TRUE, test="wilcox.test", color = "black")  
  ylim(0,460)  
  theme(legend.position = "none",
        axis.text=element_text(size=10),
        axis.title=element_text(size=12),
        plot.title = element_text(hjust = 0.5,size=14,face="bold"))  
  theme_light()  
  ggtitle("Data distribution")

^{Created on 2023-01-19 with reprex v2.0.2}