ggarange figure4c and 4d

codes/stasitic.Rmd

@@ -322,13 +322,9 @@ labs(x = "positions", y = "approaching score")+
 theme_classic() + facet_wrap(~ restriction, ncol = 2)
 Fig_LE_approaching
 ggsave('C:/Users/xiamen/Desktop/modified robogator/result figs/Fig_LE_approaching.svg', plot = Fig_LE_approaching, device = 'svg',dpi = 300)
-<<<<<<< HEAD
-
-=======
 ```
 ## Fig4
 ```{r}
->>>>>>> b86c3dabbc987a1a3471a93de7959760021346f0
 Fig4 <- ggarrange(Fig_LE_leaving, Fig_LE_approaching, ncols=2,labels=c('A','B'), common.legend=TRUE,legend="none")
 Fig4
 ggsave('C:/Users/xiamen/Desktop/modified robogator/result figs/Fig4.svg', plot = Fig4, device = 'svg',dpi = 300, width = 176, height = 140, units = "mm")
@@ -407,24 +403,25 @@ approaching_emm_trials_sex
 
 ## approaching figure_restriction_sex
 ```{r}
-
-LE_Rday1_approaching_M <- ggplot(df.LE_Rday1_approaching_M, aes(x=trials, y=approaching.score, group=rat_ID))
-
-LE_Rday1_approaching_M + 
+fig4c <- ggplot(df.LE_Rday1_approaching_M, aes(x=trials, y=approaching.score, group=rat_ID)) +
 geom_line(color="gray", alpha=0.2)+
 stat_summary(fun = "mean", size = 1, aes(group = restriction, color= restriction), geom = "line", fun.min = 'sd', fun.max = 'sd')+
-stat_summary(fun.data = mean_se, aes(group = restriction, color= restriction), geom = "errorbar", alpha=1, width=0.05)+
-scale_color_manual(values = c("#7fc97f", "#fdc086"))+
+stat_summary(fun.data = mean_se, aes(group = restriction, color= restriction), geom = "errorbar", alpha=1, width=0.05) + 
+scale_color_manual(values = c("#8DA0CB", "#E78AC3"))+ 
 scale_y_continuous(breaks = seq(0, 7, by = 1))+
-theme_minimal() + facet_wrap(~ restriction, ncol = 2)
+labs(x = "positions", y = "approaching score") + theme_classic() + facet_wrap(~restriction, ncol = 2)
+fig4c
 
-LE_Rday1_approaching_F <- ggplot(df.LE_Rday1_approaching_F, aes(x=trials, y=approaching.score, group=rat_ID))
-
-LE_Rday1_approaching_F + 
+fig4d <- ggplot(df.LE_Rday1_approaching_F, aes(x=trials, y=approaching.score, group=rat_ID)) +
 geom_line(color="gray", alpha=0.2)+
 stat_summary(fun = "mean", size = 1, aes(group = restriction, color= restriction), geom = "line", fun.min = 'sd', fun.max = 'sd')+
-stat_summary(fun.data = mean_se, aes(group = restriction, color= restriction), geom = "errorbar", alpha=1, width=0.05)+
-scale_color_manual(values = c("#7fc97f", "#fdc086"))+
+stat_summary(fun.data = mean_se, aes(group = restriction, color= restriction), geom = "errorbar", alpha=1, width=0.05) + 
+scale_color_manual(values = c("#8DA0CB", "#E78AC3"))+ 
 scale_y_continuous(breaks = seq(0, 7, by = 1))+
-theme_minimal() + facet_wrap(~ restriction, ncol = 2)
+labs(x = "positions", y = "approaching score") + theme_classic() + facet_wrap(~restriction, ncol = 2)
+fig4d
+
+Fig4c_d <- ggarrange(Fig_LE_leaving,Fig_LE_approaching,fig4c,fig4d,ncol=2,nrow=2,labels=c('A','B','C','D'),common.legend=TRUE,legend="none")
+Fig4c_d
+ggsave('C:/Users/xiamen/Desktop/modified robogator/result figs/Fig4c_d.svg', plot = Fig4c_d, device = 'svg',dpi = 300, width = 176, height = 140, units = "mm")
 ```