| toxicity | R Documentation |
The aim of the experiment was to predict the toxicity of carboxylic acids on the basis of several molecular descriptors.
data(toxicity, package="robustbase")
A data frame with 38 observations on the following 10 variables which are attributes for carboxylic acids:
toxicityaquatic toxicity, defined as
\log(IGC_{50}^{-1}); typically the “response”.
logKowlog Kow, the partition coefficient
pKapKa: the dissociation constant
ELUMOEnergy of the lowest unoccupied molecular orbital
EcarbElectrotopological state of the carboxylic group
EmetElectrotopological state of the methyl group
RMMolar refractivity
IRRefraction index
TsSurface tension
PPolarizability
The website accompanying the MMY-book: https://www.wiley.com/legacy/wileychi/robust_statistics/
Maguna, F.P., Núñez, M.B., Okulik, N.B. and Castro, E.A. (2003) Improved QSAR analysis of the toxicity of aliphatic carboxylic acids; Russian Journal of General Chemistry 73, 1792–1798.
data(toxicity)
summary(toxicity)
plot(toxicity)
plot(toxicity ~ pKa, data = toxicity)
## robustly scale the data (to scale 1) using Qn
(scQ.tox <- sapply(toxicity, Qn))
scTox <- scale(toxicity, center = FALSE, scale = scQ.tox)
csT <- covOGK(scTox, n.iter = 2,
sigmamu = s_Qn, weight.fn = hard.rejection)
as.dist(round(cov2cor(csT$cov), 2))
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