Ggplot2: How can I set axial breaks separately for each face in facet_wrap?

I would like to change the gaps and y-axis limits of each of the graphs in facet_wrap. I want, for example, to reduce the gaps for some of them, or I want them to start at 0.

ggplot(granuControlLw, aes(distance, group=time)) 
+ geom_line(aes(y = D))  + xlab("Distance from the gate (m)")
+ geom_point(aes(y = D, shape = factor(time)), size=4.5) + theme_bw()  
+ theme(axis.text.x = element_text(size = 15, angle = 90), axis.text.y = element_text(size = 15, angle = 0)) 
+ scale_x_continuous(breaks=seq(-50,1100,50))  
+ theme(axis.text = element_text(size = 15),axis.title = element_text(size = 15),legend.title = element_text(size = 15, face = 'bold'),legend.text= element_text(size=15), axis.line = element_line(colour = "gray"))
 + theme(strip.background = element_blank())
 + facet_wrap (evolution~ section, scale="free_y", ncol=1) 

Here is a few raws of my input file:
evolution   time    distance    section D
D5     After    680     (> S450)    0.8286370543
D5     After    710     (> S450)    1.0857412286
D5     After    950     (> S450)    0.29524528
D5     After    1010    (> S450)    0.7115190438
D16    After    680     (> S450)    2.7797109467
D16    After    710     (> S450)    4.2948672219
D16    After    950     (> S450)    0.5445345574
D16    After    1010    (> S450)    2.9139811532
D25    After    680     (> S450)    5.3764331372
D25    After    710     (> S450)    6.6094309926
D25    After    950     (> S450)    0.789626722
D25    After    1010    (> S450)    6.25184791
D50    After    680     (> S450)    13.0637943297
D50    After    710     (> S450)    17.155345894
D50    After    950     (> S450)    3.2134971025
D50    After    1010    (> S450)    18.9873626321
D75    After    680     (> S450)    19.491433335
D75    After    710     (> S450)    26.1926456265
D75    After    950     (> S450)    12.4823051787
D75    After    1010    (> S450)    45.0209667314

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1 answer

I do not know how to change axial gaps and ranges of individual faces in a grunge plot. However, another option is to create separate graphics for each level of variable cut, and then lay out all the graphics together. Creating each plot individually allows you to have finer control over axial gaps and ranges for each plot.

mtcars:

library(scales)     # For pretty_breaks
library(grid)       # For textGrob
library(gridExtra)  # For grid.arrange
library(cowplot)    # For plot_grid

, cyl. scale_y_continuous y . . , .

pl = lapply(sort(unique(mtcars$cyl)), function(i) {

  p = ggplot(mtcars[mtcars$cyl==i, ], aes(wt, mpg)) + 
    facet_wrap(~cyl) +
    geom_point() + 
    labs(x="Weight", y="") +
    scale_y_continuous(limits=c(ifelse(i==4, 10, 0), 1.1 * max(mtcars$mpg[mtcars$cyl==i])),
                       breaks=pretty_breaks(ifelse(i==6, 6, 3))) +
    scale_x_continuous(limits=range(mtcars$wt)) +
    theme(plot.margin=unit(c(0, 0.1, 0, -1),"lines"))

  # Remove x-axis labels and title except for last plot
  if(i < max(mtcars$cyl)) p = p + theme(axis.text.x=element_blank(),
                                        axis.title.x=element_blank())

  return(p)
})

. y.

grid.arrange(textGrob("MPG", rot=90), plot_grid(plotlist=pl, ncol=1, align="h"), 
             widths=c(0.03,0.97), ncol=2)

enter image description here

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