Hello,
I don't know if you want something like this:
hc_long <- reshape::melt(hc, id.vars = "Cluster") # convert to long
format
library(ggplot2)
ggplot(hc_long, aes(x = Cluster, y = value, colour = variable)) +
geom_point() +
geom_line() +
coord_flip() +
facet_wrap(~ variable)
#Data
hc <- read.table(text = "
Cluster A B C D E F
1 1 0.67 0.56 0.54 0.03 -0.97 -1.09
2 2 0.52 0.43 0.51 0.05 -0.86 -0.96
3 3 0.2 0.3 0.19 0.08 0.02 0.09
4 4 -1.3 -1.13 -1.78 -0.05 -0.23 -0.23
5 5 -1.6 -1.3 -1.34 -0.23 -0.45 -0.45
", header = TRUE)
Hope this helps,
Rui Barradas
?s 03:25 de 06/08/19, reichmanj at sbcglobal.net
escreveu:> R Help Forum
>
> I have output from hierarchal clustering and want to plot the results using
> the ggplot2 function. Where I have a scatter plot with 5 lines representing
> the 5 clusters. I assuming I need to transform the data into three columns
> (like) cluster, variable, and value. Not an issue but was wondering if I
> could plot the data as is.
>
> Cluster A B C D E F
> <dbl> <dbl> <dbl> <dbl> <dbl>
<dbl> <dbl>
> 1 1 0.67 0.56 0.54 0.03 -0.97 -1.09
> 2 2 0.52 0.43 0.51 0.05 -0.86 -0.96
> 3 3 0.2 0.3 0.19 0.08 0.02 0.09
> 4 4 -1.3 -1.13 -1.78 -0.05 -0.23 -0.23
> 5 5 -1.6 -1.3 -1.34 -0.23 -0.45 -0.45
>
> Something like
>
> Cluster Var Value
> 1 A 0.67
> 1 B 0.56 etc
>
> Then group by cluster??
>
> Jeff
>
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