You can introduce the row number as a case number, you can group by case
and plot the connecting lines
#Read raw data
df = read.table("http://www.lecturematerials.co.uk/data/sample.csv";,
header=TRUE, sep=",", dec=".", na.strings=c("NA"))
names(df)<-c("1","2","3","4")
df$case <- rownames(df)
#Turn data from wide to long
ds<-melt(df, id.vars = "case")
ggplot(ds, aes(x = variable, y = value, group = case)) +
geom_point () + geom_line()
Hope this helps,
Ulrik
On Sat, 14 May 2016 at 10:20 Mike Smith <m...@hsm.org.uk> wrote:
> Hi
>
> Ive got stuck using the code below to try to plot trajectories - columns
> are data recorded at time points, rows are cases. Ive used melt to turn the
> data long allowing me to group by time point and then plot using geom_point
> but I now need to join the points based upon the correct case (i.e. the
> first row in the original dataset). geo_segment allows me to specify
> start-end but I need to do this over multiple time periods....
>
> Any help much appreciated
>
> thanks
>
> mike
>
>
> library(reshape2)
> library(ggplot2)
> library(ggthemes)
> library(cowplot)
>
> #Read raw data
> df = read.table("http://www.lecturematerials.co.uk/data/sample.csv";,
> header=TRUE, sep=",", dec=".", na.strings=c("NA"))
> names(df)<-c("1","2","3","4")
>
> #Turn data from wide to long
> ds<-melt(df)
>
> ggplot(ds, aes(x = variable, y = value)) +
> geom_point (shape=19, size=5, fill="black")
>
>
>
> ---
> Mike Smith
>
> ______________________________________________
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