Alberto San Francisco Ramos
Reputation: 1
geom_point dodge spreading unevenly
I am trying to plot antibody levels, GMT (Y axis) at four different time points (X axis) for a group of 55 individuals using geom_point, linking each person's data with geom_lines so I can see the trends over time (I don't have data for all time points and all individuals) In order to make indivuals' lines easier to follow, I want to dodge the points in the X axis. I have used position_dodge2 to do so and I manage to get the points and lines to match, but the dodging is uneven and not centered along the X axis.
Is there a way to make the dodging even and centered along the X axis?
Thank you in advance
This is where I am so far enter image description here
This is my dataset:
NadA
ID Time GMT
<fct> <chr> <dbl>
1 1 Baseline 2
2 2 Baseline 2
3 3 Baseline 8
4 4 Baseline 2
5 5 Baseline 2
6 6 Baseline 2
7 7 Baseline 256
8 8 Baseline 1
9 9 Baseline 1
10 10 Baseline 1
11 11 Baseline 2
12 12 Baseline 8
13 13 Baseline 32
14 14 Baseline 8
15 15 Baseline 1
16 16 Baseline 256
17 17 Baseline 32
18 18 Baseline 1
19 19 Baseline 128
20 20 Baseline 32
21 21 Baseline 1
22 22 Baseline 4
23 23 Baseline 1
24 24 Baseline 256
25 25 Baseline 1
26 26 Baseline 1
27 27 Baseline 128
28 28 Baseline 1
29 29 Baseline 1
30 30 Baseline 1
31 31 Baseline 16
32 32 Baseline 256
33 33 Baseline 1
34 34 Baseline 1
35 35 Baseline 8
36 36 Baseline 1
37 37 Baseline 256
38 38 Baseline 64
39 39 Baseline 128
40 40 Baseline 1
41 41 Baseline 32
42 42 Baseline 4
43 43 Baseline 1
44 44 Baseline 64
45 45 Baseline 64
46 46 Baseline 4
47 47 Baseline 1
48 48 Baseline 64
49 49 Baseline 64
50 50 Baseline 32
51 51 Baseline 1
52 52 Baseline 1
53 53 Baseline 16
54 54 Baseline 512
55 55 Baseline 32
56 1 Month 1 32
57 2 Month 1 512
58 3 Month 1 16
59 4 Month 1 256
60 5 Month 1 128
61 6 Month 1 256
62 7 Month 1 512
63 8 Month 1 32
64 9 Month 1 256
65 10 Month 1 32
66 11 Month 1 256
67 12 Month 1 256
68 13 Month 1 512
69 14 Month 1 256
70 15 Month 1 256
71 16 Month 1 256
72 17 Month 1 256
73 18 Month 1 256
74 19 Month 1 NA
75 20 Month 1 2048
76 21 Month 1 512
77 22 Month 1 128
78 23 Month 1 256
79 24 Month 1 256
80 25 Month 1 NA
81 26 Month 1 64
82 27 Month 1 1024
83 28 Month 1 128
84 29 Month 1 512
85 30 Month 1 128
86 31 Month 1 256
87 32 Month 1 512
88 33 Month 1 1024
89 34 Month 1 64
90 35 Month 1 NA
91 36 Month 1 512
92 37 Month 1 128
93 38 Month 1 NA
94 39 Month 1 256
95 40 Month 1 128
96 41 Month 1 512
97 42 Month 1 256
98 43 Month 1 1024
99 44 Month 1 128
100 45 Month 1 256
101 46 Month 1 128
102 47 Month 1 256
103 48 Month 1 NA
104 49 Month 1 256
105 50 Month 1 128
106 51 Month 1 32
107 52 Month 1 128
108 53 Month 1 256
109 54 Month 1 64
110 55 Month 1 64
111 1 Month 18 128
112 2 Month 18 16
113 3 Month 18 4
114 4 Month 18 2
115 5 Month 18 NA
116 6 Month 18 NA
117 7 Month 18 256
118 8 Month 18 1
119 9 Month 18 64
120 10 Month 18 1
121 11 Month 18 64
122 12 Month 18 NA
123 13 Month 18 64
124 14 Month 18 16
125 15 Month 18 2
126 16 Month 18 NA
127 17 Month 18 128
128 18 Month 18 32
129 19 Month 18 NA
130 20 Month 18 NA
131 21 Month 18 8
132 22 Month 18 4
133 23 Month 18 4
134 24 Month 18 256
135 25 Month 18 NA
136 26 Month 18 NA
137 27 Month 18 16
138 28 Month 18 2
139 29 Month 18 1
140 30 Month 18 2
141 31 Month 18 NA
142 32 Month 18 128
143 33 Month 18 NA
144 34 Month 18 4
145 35 Month 18 NA
146 36 Month 18 32
147 37 Month 18 128
148 38 Month 18 NA
149 39 Month 18 64
150 40 Month 18 2
151 41 Month 18 64
152 42 Month 18 16
153 43 Month 18 2
154 44 Month 18 64
155 45 Month 18 NA
156 46 Month 18 2
157 47 Month 18 32
158 48 Month 18 NA
159 49 Month 18 64
160 50 Month 18 64
161 51 Month 18 1
162 52 Month 18 2
163 53 Month 18 64
164 54 Month 18 NA
165 55 Month 18 32
166 1 Month 30 32
167 2 Month 30 32
168 3 Month 30 4
169 4 Month 30 4
170 5 Month 30 NA
171 6 Month 30 NA
172 7 Month 30 256
173 8 Month 30 2
174 9 Month 30 NA
175 10 Month 30 NA
176 11 Month 30 NA
177 12 Month 30 NA
178 13 Month 30 64
179 14 Month 30 4
180 15 Month 30 4
181 16 Month 30 NA
182 17 Month 30 64
183 18 Month 30 8
184 19 Month 30 NA
185 20 Month 30 NA
186 21 Month 30 8
187 22 Month 30 4
188 23 Month 30 8
189 24 Month 30 NA
190 25 Month 30 NA
191 26 Month 30 NA
192 27 Month 30 64
193 28 Month 30 2
194 29 Month 30 NA
195 30 Month 30 4
196 31 Month 30 NA
197 32 Month 30 NA
198 33 Month 30 NA
199 34 Month 30 4
200 35 Month 30 NA
201 36 Month 30 16
202 37 Month 30 64
203 38 Month 30 NA
204 39 Month 30 128
205 40 Month 30 1
206 41 Month 30 32
207 42 Month 30 16
208 43 Month 30 NA
209 44 Month 30 16
210 45 Month 30 NA
Code:
y_limits<-c(1,2,4,8,16,32,64,128,256,512,1024,2048)
pd <- position_dodge2(width=0.5)
ggplot(NadA, aes(x= Time,y= GMT, fill= Time, group= ID)) +
geom_point(position= pd, shape= 21, size=2, alpha= 0.7)+
geom_line(position=pd, alpha= 0.3) +
scale_y_log10(breaks = y_limits) +
theme_classic() + theme(legend.position = "none")
I need all dots to stay at the same Y height (otherwise this would mean a higher/lower GMT level) therefore jitter wouldn't work here. I tried geom_boxplot but I couldn't get the dots/lines to match.
Any ideas would be much appreciated!
Upvotes: 0
Views: 40
Answers (0)
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