Can the x axis in facet grid be grouped or filtered?
I have data from a survey of damage on a standing structure that is broken into different sections and units that create each structure. This dataset contains the year the survey was done (Var1), the section type (Var2), unit type (Var3), type of damage (Var4), frequency and percentage.
Var1 Var2 Var3 Var4 Freq Percent
1 2019 Bent Column Head Broken off Concrete 3 0.06274838
2 2019 Flume Expansion Joint Broken off Concrete 1 0.02091613
3 2019 Cross Beam Hauch Dowel Broken off Concrete 1 0.02091613
4 2015 Flume Longitudinal Beam Broken off Concrete 3 0.15321757
5 2019 Flume Longitudinal Beam Broken off Concrete 1 0.02091613
6 2015 Bent Pedestal Broken off Concrete 2 0.10214505
7 2015 Bent Column Cold Joint 209 10.67415730
8 2019 Bent Column Cold Joint 102 2.13344489
9 2015 Bent Cross Beam Cold Joint 2 0.10214505
10 2015 Bent Hauch Dowel Cold Joint 31 1.58324821
11 2015 Cross Beam Hauch Dowel Cold Joint 135 6.89479060
12 2019 Cross Beam Hauch Dowel Cold Joint 1 0.02091613
13 2019 Inlet Inlet Base Cold Joint 1 0.02091613
14 2019 Flume Longitudinal Beam Cold Joint 4 0.08366451
15 2019 Inlet North Face Cold Joint 1 0.02091613
16 2019 Inlet South Face Cold Joint 1 0.02091613
17 2019 Outlet South Wall Cold Joint 1 0.02091613
18 2019 Bent Column Construction Deficiency 159 3.32566409
19 2019 Bent Column Head Construction Deficiency 103 2.15436101
20 2015 Bent Cross Beam Construction Deficiency 2 0.10214505
21 2019 Bent Cross Beam Construction Deficiency 150 3.13741895
22 2015 Cross Beam Cross Beam Construction Deficiency 7 0.35750766
23 2019 Cross Beam Cross Beam Construction Deficiency 60 1.25496758
24 2019 Flume Cross Strut Construction Deficiency 5 0.10458063
25 2019 Flume Flume Shell Construction Deficiency 4 0.08366451
26 2015 Bent Hauch Dowel Construction Deficiency 1 0.05107252
27 2019 Bent Hauch Dowel Construction Deficiency 33 0.69023217
28 2015 Cross Beam Hauch Dowel Construction Deficiency 2 0.10214505
29 2019 Cross Beam Hauch Dowel Construction Deficiency 67 1.40138046
30 2015 Flume Longitudinal Beam Construction Deficiency 1 0.05107252
31 2019 Flume Longitudinal Beam Construction Deficiency 47 0.98305794
32 2019 Inlet North Face Construction Deficiency 1 0.02091613
33 2019 Outlet North Wall Construction Deficiency 2 0.04183225
34 2019 Bent Pedestal Construction Deficiency 3 0.06274838
35 2019 Inlet South Face Construction Deficiency 1 0.02091613
36 2015 Bent Column Cracking 384 19.61184883
37 2019 Bent Column Cracking 884 18.48985568
38 2015 Bent Column Head Cracking 295 15.06639428
39 2019 Bent Column Head Cracking 159 3.32566409
40 2015 Bent Cross Beam Cracking 22 1.12359551
41 2019 Bent Cross Beam Cracking 243 5.08261870
42 2015 Cross Beam Cross Beam Cracking 32 1.63432074
43 2019 Cross Beam Cross Beam Cracking 120 2.50993516
44 2019 Outlet Cross Brace Cracking 5 0.10458063
45 2019 Flume Cross Strut Cracking 20 0.41832253
46 2015 Flume Expansion Joint Cracking 2 0.10214505
47 2019 Siphon Fin Wall Cracking 20 0.41832253
48 2015 Flume Flume Shell Cracking 6 0.30643514
49 2019 Flume Flume Shell Cracking 14 0.29282577
50 2015 Bent Hauch Dowel Cracking 7 0.35750766
51 2019 Bent Hauch Dowel Cracking 341 7.13239908
52 2015 Cross Beam Hauch Dowel Cracking 107 5.46475996
53 2019 Cross Beam Hauch Dowel Cracking 201 4.20414139
54 2019 Inlet Inlet Base Cracking 9 0.18824514
55 2015 Flume Longitudinal Beam Cracking 29 1.48110317
56 2019 Flume Longitudinal Beam Cracking 28 0.58565154
57 2019 Inlet North Face Cracking 17 0.35557415
58 2019 Outlet North Wall Cracking 23 0.48107091
59 2019 Outlet Outlet Buttress Cracking 4 0.08366451
60 2015 Bent Pedestal Cracking 9 0.45965271
61 2019 Bent Pedestal Cracking 242 5.06170257
62 2019 Siphon Siphon Buttress Cracking 22 0.46015478
63 2019 Siphon Siphon Inlet Cracking 6 0.12549676
64 2019 Siphon Siphon Outlet Cracking 6 0.12549676
65 2019 Inlet South Face Cracking 14 0.29282577
66 2019 Outlet South Wall Cracking 11 0.23007739
67 2019 Inlet Spillway Cracking 2 0.04183225
68 2015 Bent Column Delamination 4 0.20429009
69 2015 Bent Cross Beam Delamination 2 0.10214505
70 2019 Flume Expansion Joint Delamination 1 0.02091613
71 2015 Flume Flume Shell Delamination 31 1.58324821
72 2019 Flume Flume Shell Delamination 40 0.83664505
73 2019 Cross Beam Hauch Dowel Delamination 1 0.02091613
74 2019 Flume Longitudinal Beam Delamination 1 0.02091613
75 2019 Siphon Siphon Inlet Delamination 3 0.06274838
76 2019 Siphon Siphon Outlet Delamination 2 0.04183225
77 2019 Bent Cross Beam Discolouration 56 1.17130307
78 2019 Flume Expansion Joint Discolouration 1 0.02091613
79 2019 Flume Flume Shell Discolouration 3 0.06274838
80 2019 Cross Beam Hauch Dowel Discolouration 1 0.02091613
81 2019 Bent Pedestal Discolouration 12 0.25099352
82 2019 Bent Column Graffiti 14 0.29282577
83 2019 Flume Cross Strut Graffiti 2 0.04183225
84 2019 Siphon Fin Wall Graffiti 4 0.08366451
85 2019 Flume Flume Shell Graffiti 5 0.10458063
86 2019 Flume Longitudinal Beam Graffiti 3 0.06274838
87 2019 Outlet Outlet Buttress Graffiti 1 0.02091613
88 2019 Siphon Siphon Buttress Graffiti 4 0.08366451
89 2019 Siphon Siphon Outlet Graffiti 2 0.04183225
90 2019 Inlet South Face Graffiti 1 0.02091613
91 2019 Outlet Strainer Block Graffiti 1 0.02091613
92 2015 Bent Column Honey Combing 12 0.61287028
93 2019 Bent Column Honey Combing 144 3.01192219
94 2019 Bent Column Head Honey Combing 11 0.23007739
95 2019 Bent Cross Beam Honey Combing 52 1.08763857
96 2019 Cross Beam Cross Beam Honey Combing 12 0.25099352
97 2019 Siphon Fin Wall Honey Combing 2 0.04183225
98 2019 Flume Flume Shell Honey Combing 1 0.02091613
99 2019 Bent Hauch Dowel Honey Combing 99 2.07069651
100 2015 Cross Beam Hauch Dowel Honey Combing 1 0.05107252
101 2019 Cross Beam Hauch Dowel Honey Combing 83 1.73603849
102 2019 Inlet Inlet Base Honey Combing 1 0.02091613
103 2019 Flume Longitudinal Beam Honey Combing 7 0.14641288
104 2019 Bent Pedestal Honey Combing 30 0.62748379
105 2019 Siphon Siphon Buttress Honey Combing 1 0.02091613
106 2019 Inlet South Face Honey Combing 1 0.02091613
107 2019 Outlet South Wall Honey Combing 2 0.04183225
108 2019 Inlet Spillway Honey Combing 3 0.06274838
109 2019 Bent Column Out of Plumb 2 0.04183225
110 2019 Bent Column Head Out of Plumb 1 0.02091613
111 2019 Outlet North Wall Out of Plumb 1 0.02091613
112 2015 Bent Column Scaling of Concrete 21 1.07252298
113 2019 Bent Column Scaling of Concrete 6 0.12549676
114 2015 Bent Column Head Scaling of Concrete 6 0.30643514
115 2019 Bent Column Head Scaling of Concrete 4 0.08366451
116 2015 Bent Cross Beam Scaling of Concrete 5 0.25536261
117 2019 Bent Cross Beam Scaling of Concrete 26 0.54381928
118 2015 Cross Beam Cross Beam Scaling of Concrete 18 0.91930541
119 2019 Cross Beam Cross Beam Scaling of Concrete 5 0.10458063
120 2019 Outlet Cross Brace Scaling of Concrete 1 0.02091613
121 2019 Flume Flume Shell Scaling of Concrete 3 0.06274838
122 2015 Bent Hauch Dowel Scaling of Concrete 1 0.05107252
123 2019 Bent Hauch Dowel Scaling of Concrete 7 0.14641288
124 2015 Cross Beam Hauch Dowel Scaling of Concrete 3 0.15321757
125 2019 Cross Beam Hauch Dowel Scaling of Concrete 8 0.16732901
126 2019 Inlet Inlet Base Scaling of Concrete 1 0.02091613
127 2015 Flume Longitudinal Beam Scaling of Concrete 4 0.20429009
128 2019 Bent Pedestal Scaling of Concrete 3 0.06274838
129 2015 Bent Column Spalling of Concrete 99 5.05617978
130 2019 Bent Column Spalling of Concrete 303 6.33758628
131 2015 Bent Column Head Spalling of Concrete 139 7.09908069
132 2019 Bent Column Head Spalling of Concrete 167 3.49299310
133 2015 Bent Cross Beam Spalling of Concrete 48 2.45148110
134 2019 Bent Cross Beam Spalling of Concrete 57 1.19221920
135 2015 Cross Beam Cross Beam Spalling of Concrete 17 0.86823289
136 2019 Cross Beam Cross Beam Spalling of Concrete 32 0.66931604
137 2019 Outlet Cross Brace Spalling of Concrete 1 0.02091613
138 2019 Flume Cross Strut Spalling of Concrete 1 0.02091613
139 2015 Flume Expansion Joint Spalling of Concrete 3 0.15321757
140 2019 Flume Expansion Joint Spalling of Concrete 8 0.16732901
141 2019 Siphon Fin Wall Spalling of Concrete 6 0.12549676
142 2015 Flume Flume Shell Spalling of Concrete 5 0.25536261
143 2019 Flume Flume Shell Spalling of Concrete 21 0.43923865
144 2015 Bent Hauch Dowel Spalling of Concrete 38 1.94075587
145 2019 Bent Hauch Dowel Spalling of Concrete 43 0.89939343
146 2015 Cross Beam Hauch Dowel Spalling of Concrete 77 3.93258427
147 2019 Cross Beam Hauch Dowel Spalling of Concrete 42 0.87847731
148 2019 Inlet Inlet Base Spalling of Concrete 3 0.06274838
149 2015 Flume Longitudinal Beam Spalling of Concrete 111 5.66905005
150 2019 Flume Longitudinal Beam Spalling of Concrete 66 1.38046434
151 2015 Inlet North Face Spalling of Concrete 1 0.05107252
152 2019 Inlet North Face Spalling of Concrete 11 0.23007739
153 2019 Outlet North Wall Spalling of Concrete 7 0.14641288
154 2019 Outlet Outlet Base Spalling of Concrete 2 0.04183225
155 2019 Outlet Outlet Buttress Spalling of Concrete 5 0.10458063
156 2015 Bent Pedestal Spalling of Concrete 18 0.91930541
157 2019 Bent Pedestal Spalling of Concrete 74 1.54779335
158 2015 Siphon Siphon Buttress Spalling of Concrete 2 0.10214505
159 2019 Siphon Siphon Buttress Spalling of Concrete 4 0.08366451
160 2019 Siphon Siphon Inlet Spalling of Concrete 2 0.04183225
161 2019 Siphon Siphon Outlet Spalling of Concrete 4 0.08366451
162 2019 Inlet South Face Spalling of Concrete 7 0.14641288
163 2019 Outlet South Wall Spalling of Concrete 3 0.06274838
164 2019 Inlet Spillway Spalling of Concrete 1 0.02091613
165 2019 Outlet Strainer Block Spalling of Concrete 41 0.85756118
166 2019 Bent Column Vegetation 4 0.08366451
I have successfully created a plot that combines the year of the survey (Var1), the section type (Var2), the unit type (Var3), and damage type (var4) with the facet gird function.
CUDT_2015_2019_Percent_plot <- CUDT_2015_2019_Percent_Filter %>% ggplot(aes(Var3, Percent, fill = Var4))+geom_col()+facet_grid(CUDT_2015_2019_Percent_Filter$Var1~CUDT_2015_2019_Percent_Filter$Var2)+theme(axis.text.x = element_text(angle = 90, size = 8, hjust = 1, vjust = 0))+labs(fill = "Damage Type", x = "Unit Type")+scale_fill_manual(values = DColour)
However, on the x axis all unit types are represented across all the section types, but not all unit types (Var3) are associated with all section types (Var2).
What I want to do to make the plot more readable is to only have the units that are associated with each of the section types. For example Bents only have Column Head, Column, Pedestal, Cross Beam, and Hauch Dowel. The bent grid does not need to have the flume shell etc. Is there a way of filtering or grouping the x axis?
I have been looking for similar examples within the stack exchange and elsewhere online but have had no success finding an answer. I don't use R enough even to know where to start to try and tackle this.
Solution
You could use scales="free_x" in facet_grid to show only categories present in each panel and use `space="free_x"´ to still have bars of equal width:
library(ggplot2)
CUDT_2015_2019_Percent_Filter |>
ggplot(aes(Var3, Percent, fill = Var4)) +
geom_col() +
facet_grid(
Var1 ~ Var2,
scales = "free_x", space = "free_x"
) +
theme(axis.text.x = element_text(
angle = 90, size = 8,
hjust = 1, vjust = 0
)) +
labs(fill = "Damage Type", x = "Unit Type")
DATA
CUDT_2015_2019_Percent_Filter <-
df <- data.frame(
Var1 = c(
2019, 2019, 2019, 2015, 2019, 2015, 2015, 2019, 2015, 2015,
2015, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019,
2019, 2015, 2019, 2019, 2015, 2019, 2015, 2019, 2015, 2019,
2015, 2019, 2019, 2019, 2019
),
Var2 = c(
"Bent", "Flume", "Cross Beam", "Flume", "Flume", "Bent", "Bent",
"Bent", "Bent", "Bent", "Cross Beam", "Inlet",
"Flume", "Inlet", "Inlet", "Outlet", "Bent", "Bent", "Bent",
"Bent", "Bent", "Bent", "Flume", "Flume", "Bent", "Bent",
"Cross Beam", "Flume", "Flume", "Bent", "Flume", "Inlet",
"Outlet", "Bent", "Inlet"
),
Var3 = c(
"Column Head", "Expansion Joint", "Hauch Dowel", "Longitudinal Beam",
"Longitudinal Beam", "Pedestal", "Column", "Column", "Cross Beam",
"Hauch Dowel", "Hauch Dowel", "Hauch Dowel", "Inlet Base",
"Longitudinal Beam", "North Face", "South Face", "South Wall",
"Column", "Column Head",
"Cross Beam", "Cross Beam",
"Cross Beam", "Cross Beam",
"Cross Strut", "Flume Shell",
"Hauch Dowel", "Hauch Dowel",
"Hauch Dowel", "Hauch Dowel",
"Longitudinal Beam", "Longitudinal Beam",
"North Face", "North Wall",
"Pedestal", "South Face"
),
Var4 = c(
"Broken off Concrete", "Broken off Concrete", "Broken off Concrete",
"Broken off Concrete", "Broken off Concrete", "Broken off Concrete",
"Cold Joint", "Cold Joint", "Cold Joint", "Cold Joint", "Cold Joint",
"Cold Joint", "Cold Joint", "Cold Joint", "Cold Joint", "Cold Joint",
"Cold Joint", "Construction Deficiency", "Construction Deficiency",
"Construction Deficiency", "Construction Deficiency",
"Construction Deficiency", "Construction Deficiency",
"Construction Deficiency", "Construction Deficiency",
"Construction Deficiency", "Construction Deficiency",
"Construction Deficiency", "Construction Deficiency",
"Construction Deficiency", "Construction Deficiency",
"Construction Deficiency", "Construction Deficiency",
"Construction Deficiency", "Construction Deficiency"
),
Freq = c(
3, 1, 1, 3, 1, 2, 209, 102, 2, 31, 135, 1, 1, 4, 1, 1, 1, 159,
103, 2, 150, 7, 60, 5, 4, 1, 33, 2, 67, 1, 47, 1, 2, 3, 1
),
Percent = c(
0.06274838, 0.02091613, 0.02091613, 0.15321757, 0.02091613,
0.10214505, 10.67415730, 2.13344489, 0.10214505, 1.58324821,
6.89479060, 0.02091613, 0.02091613, 0.08366451, 0.02091613,
0.02091613, 0.02091613, 3.32566409, 2.15436101, 0.10214505,
3.13741895, 0.35750766, 1.25496758, 0.10458063, 0.08366451,
0.05107252, 0.69023217, 0.10214505, 1.40138046, 0.05107252,
0.98305794, 0.02091613, 0.04183225, 0.06274838, 0.02091613
)
)
- Retrieving expected data.frame for testthat expectation
- How to use an anonymous function with pipe operator?
- R passing RSelenium driver environment as function argument
- Keep file names merging list with lapply?
- replace strings that contains one another
- Stop parsing out zeros after decimals in ggplot2's annotate
- Plot data.tree coloring and labelling by level
- Extracting the date and time out of a date and time format
- How to reshape a dataframe into wide format with specified column pairs
- Show partial segments removed after limit scales for `geom_pointrange`
- Control ggplot2 legend look without affecting the plot
- Concatenate strings over all rows in a single column of a data frame
- Is there some way to keep variable names from.SD+.SDcols together with non .SD variable names in data.table?
- How to create mutually dependent checkbox columns in a DT table?
- A problem with an stacked, grouped and faceted graph y gg plot
- Installing R on Linux: configure: error: libcurl >= 7.28.0 library and headers are required with support for https
- Create a column conditional on multiple other character and numerical columns
- data.frame to array (2 columns)
- Changing options() in a function environment without changing options() in global environment in R?
- pivot(), group_by() and summarise() with nested data
- Why legend is not showing up in plot layout using patchwork in R?
- in dplyr::mutate, dplyr::starts_with works for .before but not .after?
- Finding optimal cut-off points for dividing a variable into equal groups considering ties in which quantiles do not work
- How to add a legend to hline?
- R Shiny Suppress slider handle for sliderInput until click
- brmultinom brglm2 vifs and dredge dont work
- R, how to get current time miliseconds, without extra information ? (Sys.time(), format("%X"))
- Installing multiple versions of R
- Command to see 'R' path that RStudio is using
- Fast pairwise longest common substring from start