Remove grey vertical stripes separating samples in geom

Hi My data (data_long) looks like this:

 genes  sample  value   Group Type
 A1 O7high  6796.448    G0   A
 AA O7high  4997.250    G0   A
 A3 O7high  9477.100    G0   A
 A4 O7high  6083.558    G0   A   
 A1 08low   075.364     G0   B
 AA 08low   13066.130   G0   B

p <- ggplot(data_long, aes(x=sample, y=value,group=genes,color=Group))    
  geom_tile(aes(fill = as.factor(Type),color = NA,y = 7000), height = Inf, alpha = 0.5)  
  geom_line(aes(linetype=Group,color=Group, size=Group))   
  stat_summary(aes(group = -1), fun=median, geom='line',size=2, color='orange')   
  theme_classic()   
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) 
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))  
  scale_y_sqrt() 
  scale_colour_manual(values=c("black","blue")) 
  scale_size_manual(values=c(0.3,1.5)) 
  scale_linetype_manual(values=c("dashed", "solid")) 
  theme_classic()

p   theme_bw()  
  theme(panel.grid = element_blank(),
        panel.border = element_blank())

I have used the above code to plot the median line as well as to highlight some of the genes of my interest. Everything works fine but When seeing the plot there are these vertical grey lines (Separating each sample?) I am not sure how to remove those lines. I want the geom_tile for the same type to be without any lines. Please let me know how to remove those lines

CodePudding user response：

Thanks for updating your question with the required info. Perhaps you can remove the grey lines by moving color = NA outside aes(), e.g.

library(tidyverse)
data_long <- read.table(text = "genes  sample  value   Group Type
A1 O7med  6796.448    G0   A
AA O7med  4997.250    G0   A
A3 O7high  9477.100    G0   A
A4 O7high  6083.558    G0   A   
A1 08low   075.364     G0   B
AA 08low   13066.130   G0   B", header = TRUE)

p <- ggplot(data_long, aes(x=sample, y=value,group=genes,color=Group))    
  geom_tile(aes(fill = as.factor(Type), y = 7000), color = NA, height = Inf, alpha = 0.5)  
  geom_line(aes(linetype=Group,color=Group, size=Group))   
  stat_summary(aes(group = -1), fun=median, geom='line',size=2, color='orange')   
  theme_classic()   
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) 
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))  
  scale_y_sqrt() 
  scale_colour_manual(values=c("black","blue")) 
  scale_size_manual(values=c(0.3,1.5)) 
  scale_linetype_manual(values=c("dashed", "solid"))

p   theme_bw()  
  theme(panel.grid = element_blank(),
        panel.border = element_blank())

^{Created on 2021-10-13 by the reprex package (v2.0.1)}

Does that work on your actual dataset?