However Rajarshi has just posted his mammoth CDK/R presentation on the web so all is not lost (thanks also to Duan Lian):
Cheminformatics in R
View more presentations from rguha.
It turned out to be quite a nice graph. Each point here represents a different conformer. Of the three torsion angles, it seems that two were incremented in steps of 30°, while for the third Δang was 120°. Each torsion angle had a different magnitude of effect on the RMSD (or at least, this is how I interpret this graph - I haven't drilled down into the figures yet); presumably the torsion angle closer to the centre of the molecule gives rise to the three clusters of values.m <- read.table("tmp_dist.txt")
location <- cmdscale(m)
mycol <- read.table("tmp_en.txt")
max_scaled <- max(scaled)
min_scaled <- min(scaled)
scaled <- (-min_scaled + scaled) / (max_scaled - min_scaled)
# colmap <- rainbow(11)
lookup <- function(x) {
# colmap[floor( (x + 0.15)*10) ]
if(x < 0.1) {"red"}
else {"black"}
}
colors = apply(scaled, 1, lookup)
plot(location, col = colors, pch=19)
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