toxicity {robustbase} | R Documentation |
Toxicity of Carboxylic Acids Data
Description
The aim of the experiment was to predict the toxicity of carboxylic acids on the basis of several molecular descriptors.
Usage
data(toxicity, package="robustbase")
Format
A data frame with 38 observations on the following 10 variables which are attributes for carboxylic acids:
toxicity
aquatic toxicity, defined as
\log(IGC_{50}^{-1})
; typically the “response”.logKow
log Kow
, the partition coefficientpKa
pKa: the dissociation constant
ELUMO
Energy of the lowest unoccupied molecular orbital
Ecarb
Electrotopological state of the carboxylic group
Emet
Electrotopological state of the methyl group
RM
Molar refractivity
IR
Refraction index
Ts
Surface tension
P
Polarizability
Source
The website accompanying the MMY-book: https://www.wiley.com/legacy/wileychi/robust_statistics/
References
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.
Examples
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))