I worked with the code below. Everything seems to work well, except that the discrete values along the x axis are far from each end of the graph. I tried several things, including changing discrete values and playing with restrictions, but cannot make it work. I tested this on simulated data and did not have the same problem, so I'm guessing how I process the data. I would appreciate pointers on how to properly adjust and / or process the data so that it does not occur. An imported data file is a combination of continuous, discrete, and string variables.
The data I use:
id_finger sex pre_post angle
1 F 0 7
1 F 2 5
2 F 0 11
2 F 2 1
3 F 0 21
3 F 2 7
4 M 0 12
4 M 2 1
5 F 0 11
5 F 2 4
6 M 0 18
6 M 2 8
7 M 0 28
7 M 2 9
8 F 0 10
8 F 2 2
9 M 0 12
9 M 2 5
10 F 0 14
10 F 2 0
11 M 0 27
11 M 2 5
12 M 0 15
12 M 2 3
13 F 0 19
13 F 2 0
14 M 0 5
14 M 2 4
15 M 0 24
And my code is:
vicryl.wide <- read.table("C:/vicryl2.csv",
header=TRUE, sep=",", na.strings=" ")
library(reshape2)
vicryl.long <- melt(vicryl.wide,
id.vars=c("id_finger","sex"),
measure.vars=c("pre_angle_r", "post_angle_r"),
variable.name="pre_post")
names(vicryl.long)[names(vicryl.long)=="value"] <- "angle"
levels(vicryl.long$pre_post)[levels(vicryl.long$pre_post)=="pre_angle_r"] <- 0
levels(vicryl.long$pre_post)[levels(vicryl.long$pre_post)=="post_angle_r"] <- 2
vicryl.long <- vicryl.long[ order(vicryl.long$id_finger,
vicryl.long$pre_post), ]
library(ggplot2)
ggplot(data=vicryl.long, aes(x=pre_post, y=angle, group=id_finger)) +
geom_line()