I am trying to create a more presentable graph for my research using R. I have created these faceted boxplots, but I would like them to have gridlines in the back. I am following a guide and keep running into errors.
My original code that works is:
cl.conc <- ggboxplot(
leach.conc, x = "treatment", y = "cl_conc",
fill = "days", palette = "RdBu",
facet.by = "soil_type",
xlab = "Treatment", ylab = "Chloride (mg/L)")
cl.conc
Which creates this graph:
I am trying to add gridlines by adding this block of code:
cl.conc <- ggboxplot(
leach.conc, x = "treatment", y = "cl_conc",
fill = "days", palette = "RdBu",
facet.by = "soil_type",
xlab = "Treatment", ylab = "Chloride (mg/L)",
theme(panel.grid.major = element_line(color = "black",
size = 0.5,
linetype = 2)))
cl.conc
And am recieving this error:
Error in !is.null(facet.by) | combine :
operations are possible only for numeric, logical or complex types
Any help is appreciated!
'''
Here is a sample block of my code:
core_id sample_id soil_type treatment sample_period days rep year
1 MS1 MS1-0B Silt Solid B 0 1 1
2 MS1 MS1-1 Silt Solid 1 4 1 1
3 MS1 MS1-2 Silt Solid 2 11 1 1
4 MS1 MS1-3 Silt Solid 3 18 1 1
5 ML1 ML1-0B Silt Liquid B 0 1 1
6 ML1 ML1-1 Silt Liquid 1 4 1 1
7 ML1 ML1-2 Silt Liquid 2 11 1 1
8 ML1 ML1-3 Silt Liquid 3 18 1 1
9 MK1 MK1-0B Silt KCl B 0 1 1
10 MK1 MK1-1 Silt KCl 1 4 1 1
11 MK1 MK1-2 Silt KCl 2 11 1 1
12 MK1 MK1-3 Silt KCl 3 18 1 1
13 MC1 MC1-0B Silt Control B 0 1 1
14 MC1 MC1-1 Silt Control 1 4 1 1
15 MC1 MC1-2 Silt Control 2 11 1 1
16 MC1 MC1-3 Silt Control 3 18 1 1
17 FS1 FS1-0B Clay Solid B 0 1 1
18 FS1 FS1-1 Clay Solid 1 4 1 1
19 FS1 FS1-2 Clay Solid 2 11 1 1
20 FS1 FS1-3 Clay Solid 3 18 1 1
21 FL1 FL1-0B Clay Liquid B 0 1 1
22 FL1 FL1-1 Clay Liquid 1 4 1 1
23 FL1 FL1-2 Clay Liquid 2 11 1 1
24 FL1 FL1-3 Clay Liquid 3 18 1 1
25 FK1 FK1-0B Clay KCl B 0 1 1
26 FK1 FK1-1 Clay KCl 1 4 1 1
27 FK1 FK1-2 Clay KCl 2 11 1 1
28 FK1 FK1-3 Clay KCl 3 18 1 1
29 FC1 FC1-0B Clay Control B 0 1 1
30 FC1 FC1-1 Clay Control 1 4 1 1
31 FC1 FC1-2 Clay Control 2 11 1 1
32 FC1 FC1-3 Clay Control 3 18 1 1
33 MS2 MS2-0B Silt Solid B 0 2 1
34 MS2 MS2-1 Silt Solid 1 4 2 1
35 MS2 MS2-2 Silt Solid 2 11 2 1
36 MS2 MS2-3 Silt Solid 3 18 2 1
37 ML2 ML2-0B Silt Liquid B 0 2 1
38 ML2 ML2-1 Silt Liquid 1 4 2 1
39 ML2 ML2-2 Silt Liquid 2 11 2 1
40 ML2 ML2-3 Silt Liquid 3 18 2 1
41 MK2 MK2-0B Silt KCl B 0 2 1
42 MK2 MK2-1 Silt KCl 1 4 2 1
43 MK2 MK2-2 Silt KCl 2 11 2 1
44 MK2 MK2-3 Silt KCl 3 18 2 1
45 MC2 MC2-0B Silt Control B 0 2 1
46 MC2 MC2-1 Silt Control 1 4 2 1
47 MC2 MC2-2 Silt Control 2 11 2 1
48 MC2 MC2-3 Silt Control 3 18 2 1
49 FS2 FS2-0B Clay Solid B 0 2 1
50 FS2 FS2-1 Clay Solid 1 4 2 1
51 FS2 FS2-2 Clay Solid 2 11 2 1
52 FS2 FS2-3 Clay Solid 3 18 2 1
53 FL2 FL2-0B Clay Liquid B 0 2 1
54 FL2 FL2-1 Clay Liquid 1 4 2 1
55 FL2 FL2-2 Clay Liquid 2 11 2 1
56 FL2 FL2-3 Clay Liquid 3 18 2 1
57 FK2 FK2-0B Clay KCl B 0 2 1
58 FK2 FK2-1 Clay KCl 1 4 2 1
59 FK2 FK2-2 Clay KCl 2 11 2 1
60 FK2 FK2-3 Clay KCl 3 18 2 1
61 FC2 FC2-0B Clay Control B 0 2 1
62 FC2 FC2-1 Clay Control 1 4 2 1
63 FC2 FC2-2 Clay Control 2 11 2 1
64 FC2 FC2-3 Clay Control 3 18 2 1
65 MS3 MS3-0B Silt Solid B 0 3 1
66 MS3 MS3-1 Silt Solid 1 4 3 1
67 MS3 MS3-2 Silt Solid 2 11 3 1
68 MS3 MS3-3 Silt Solid 3 18 3 1
69 ML3 ML3-0B Silt Liquid B 0 3 1
70 ML3 ML3-1 Silt Liquid 1 4 3 1
71 ML3 ML3-2 Silt Liquid 2 11 3 1
72 ML3 ML3-3 Silt Liquid 3 18 3 1
73 MK3 MK3-0B Silt KCl B 0 3 1
74 MK3 MK3-1 Silt KCl 1 4 3 1
75 MK3 MK3-2 Silt KCl 2 11 3 1
76 MK3 MK3-3 Silt KCl 3 18 3 1
77 MC3 MC3-0B Silt Control B 0 3 1
78 MC3 MC3-1 Silt Control 1 4 3 1
79 MC3 MC3-2 Silt Control 2 11 3 1
80 MC3 MC3-3 Silt Control 3 18 3 1
81 FS3 FS3-0B Clay Solid B 0 3 1
82 FS3 FS3-1 Clay Solid 1 4 3 1
83 FS3 FS3-2 Clay Solid 2 11 3 1
84 FS3 FS3-3 Clay Solid 3 18 3 1
85 FL3 FL3-0B Clay Liquid B 0 3 1
86 FL3 FL3-1 Clay Liquid 1 4 3 1
87 FL3 FL3-2 Clay Liquid 2 11 3 1
88 FL3 FL3-3 Clay Liquid 3 18 3 1
89 FK3 FK3-0B Clay KCl B 0 3 1
90 FK3 FK3-1 Clay KCl 1 4 3 1
vol_leached cl_conc cl_load
1 2.00 3.60 0.007200
2 3.25 18.10 0.058825
3 3.00 18.10 0.054300
4 3.50 17.40 0.060900
5 2.00 3.80 0.007600
6 3.50 77.10 0.269850
7 3.25 81.40 0.264550
8 3.25 66.80 0.217100
9 2.00 4.60 0.009200
10 3.00 19.40 0.058200
11 3.00 22.30 0.066900
12 3.25 36.90 0.119925
13 2.00 4.10 0.008200
14 3.00 1.90 0.005700
15 3.00 1.20 0.003600
16 3.25 0.60 0.001950
17 2.00 18.20 0.036400
18 3.25 27.80 0.090350
19 3.00 28.30 0.084900
20 3.00 28.30 0.084900
21 2.00 15.00 0.030000
22 3.50 107.80 0.377300
23 3.00 150.30 0.450900
24 3.50 94.60 0.331100
25 2.00 12.30 0.024600
26 3.25 84.80 0.275600
27 3.00 53.40 0.160200
28 3.00 51.90 0.155700
29 2.00 17.30 0.034600
30 3.50 9.10 0.031850
31 2.50 4.25 0.010625
32 3.25 1.90 0.006175
33 1.00 3.40 0.003400
34 3.25 19.80 0.064350
35 3.50 20.70 0.072450
36 3.50 20.50 0.071750
37 1.50 2.30 0.003450
38 3.25 102.00 0.331500
39 3.50 56.70 0.198450
40 3.50 47.40 0.165900
41 1.50 2.60 0.003900
42 3.25 33.40 0.108550
43 3.50 15.30 0.053550
44 3.25 19.90 0.064675
45 1.25 2.90 0.003625
46 3.25 2.00 0.006500
47 3.25 1.20 0.003900
48 3.25 0.80 0.002600
49 1.50 8.10 0.012150
50 3.00 37.10 0.111300
51 3.50 39.80 0.139300
52 3.00 34.80 0.104400
53 1.50 4.90 0.007350
54 3.25 81.90 0.266175
55 2.75 67.50 0.185625
56 3.00 56.00 0.168000
57 1.50 5.90 0.008850
58 2.75 41.10 0.113025
59 2.75 38.30 0.105325
60 3.00 30.90 0.092700
61 1.50 17.50 0.026250
62 3.00 12.40 0.037200
63 3.00 6.00 0.018000
64 3.25 3.10 0.010075
65 2.50 2.40 0.006000
66 3.25 27.80 0.090350
67 3.25 27.80 0.090350
68 3.00 24.90 0.074700
69 2.50 2.60 0.006500
70 3.00 79.70 0.239100
71 3.50 65.50 0.229250
72 3.00 55.20 0.165600
73 2.25 2.10 0.004725
74 3.00 13.50 0.040500
75 3.25 20.40 0.066300
76 2.50 24.70 0.061750
77 2.75 2.00 0.005500
78 3.00 1.60 0.004800
79 3.00 1.20 0.003600
80 3.00 0.70 0.002100
81 3.00 8.40 0.025200
82 3.00 42.70 0.128100
83 3.25 40.50 0.131625
84 3.25 30.10 0.097825
85 3.00 10.30 0.030900
86 3.25 121.20 0.393900
87 3.25 73.60 0.239200
88 3.00 38.00 0.114000
89 2.50 9.40 0.023500
90 3.25 53.00 0.172250
CodePudding user response：
In ggpubr you could also use grids function to add grid lines. Here is a reproducible example using the ToothGrowth dataset:
library(ggpubr)
ggboxplot(ToothGrowth,
x = "dose",
y = "len",
facet.by = "supp",
)
grids(axis = c("xy"), color = "black", size = 0.5, linetype = 2)
Created on 2023-01-19 with reprex v2.0.2
CodePudding user response：
And a second option would be to add your grid lines or any theme adjustments as an additional layer to your plot:
library(ggpubr)
#> Loading required package: ggplot2
df <- ToothGrowth
ggboxplot(
df,
x = "dose", y = "len",
fill = "supp", palette = "RdBu",
facet.by = "supp",
xlab = "Treatment", ylab = "Chloride (mg/L)"
)
theme(panel.grid.major = element_line(
color = "black",
size = 0.5,
linetype = 2
))
#> Warning: The `size` argument of `element_line()` is deprecated as of ggplot2 3.4.0.
#> ℹ Please use the `linewidth` argument instead.
