If you want to use other multi- plot alternatives, you can look into cowplot's plot_grid() or gridExtra's grid.arrange() options.
You can, of course, do the renaming directly in the ggplot instead. Notice in dat, for simplicity, I named the panel groups according to your four plot titles by renaming your variables while creating this data frame. You can further modify the aesthetics using theme(). Strip.text = element_text(hjust = 0) # the panel titles become left-aligned Strip.background = element_blank(), # "strip" refers to the part with the panel names here, I turned its background to blank Legend.position = "top", # legend is positioned at the top Scale_x_discrete("Volume Category", labels = My.labels) +
Ggplot(data=dat, aes(VolumCat2, Ratio, fill = displ)) + # create a multi-panel plot with facet_wrap() Levels = c("Translation x-,y-direction", "Rotation x-,y-direction", "Translation z-direction", "Rotation z-direction") Perc = gsub("perc_DVHT_99", "Translation", perc), Perc = gsub("perc_DVHR_99", "Rotation", perc), Gather(perc, Ratio, perc_DVHR_99, perc_DVHT_99) %>% # first, combine setTxy and setTz into a single data frame and create a single column for all your "Ratio" values and one for the panel groups Library(dplyr) # to use mutate() and the pipe operator (optional) Because you want all the y-axis "Ratio" to have the same scale and the x-axis is always the same, the simplest way is to plot using facet_wrap() with ggplot. There are several ways to achieve your goals here. In the first ten rows only displ "0.5mm"is present, but the displ for "1.0 mm" and "1.5 mm" is in same format but different row numbers SetTxy is a long structure looking like : structure(list(displ = c("0,5 mm", "0,5 mm", "0,5 mm", "0,5 mm",
R multipanel plot code#
Using the following code I have created 4 boxplots: bxp120cc\nn=42")
0 kommentar(er)
