X-axis values ​​by group

I have the following dataset with the following code that creates the plot I want in ggplot2. I would like to map the PTID on the x-axis by group so that it shows the ptids how they are already displayed, but also which group they are in.

     PTID      Group    variable   value
1   subject1    Group 1  Bio.V3.B   43
2   subject2    Group 1  Bio.V3.B   7410
3   subject3    Group 2  Bio.V3.B   13227
4   subject4    Group 2  Bio.V3.B   4832
5   subject5    Group 3  Bio.V3.B   205
6   subject6    Group 3  Bio.V3.B   24899
1   subject1    Group 1  Bio.V3.C   496
2   subject2    Group 1  Bio.V3.C   5932
3   subject3    Group 2  Bio.V3.C   24093
4   subject4    Group 2  Bio.V3.C   85
5   subject5    Group 3  Bio.V3.C   9503
6   subject6    Group 3  Bio.V3.C   18249

ggplot(data=meltedwk28v3, aes(x=PTID, y=value, fill=variable)) + 
    geom_bar(width= .5, colour="black", stat="identity",  #barwidth
             position=position_dodge(width=.7),  #gapwidth
             size=.2) +                        # Thinner lines
    scale_fill_hue(name="Bio-V3 Clade") +      # Set legend title
    xlab("PTID") + ylab("MFI") + # Set axis labels
    ggtitle("Wk28 Bio-V3 MFI") +  # Set title
    theme_classic() + theme(axis.text.x = element_text(angle=90,     hjust=0, vjust=0)) #Themes

      

Thank!

+3


source to share


1 answer


One possibility is to use interaction

between 'PTID' and 'Group' as a variable x

:

ggplot(data = df, aes(x = interaction(PTID, Group, sep = " "), y = value, fill = variable)) + 
  geom_bar(width= 0.5, colour="black", stat = "identity",
           position = position_dodge(width = 0.7),
           size = 0.2) +
  xlab("PTID") + ylab("MFI") +
  ggtitle("Wk28 Bio-V3 MFI") +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, hjust = 0, vjust = 0))

      



enter image description here

+1


source







All Articles