endosulfan | R Documentation |

Summary of 48- to 96-hour acute toxicity values (LC50 and EC50 values) for exposure of Australian an Non-Australian taxa to endosulfan.

```
data(endosulfan)
```

`endosulfan`

is a data frame with 4 columns, named ATV for Acute Toxicity Value
(geometric mean of LC50 ou EC50 values in micrograms per liter),
Australian (coding for Australian or another origin), group
(arthropods, fish or non-arthropod invertebrates) and taxa.

Hose, G.C., Van den Brink, P.J. 2004. Confirming the Species-Sensitivity Distribution Concept
for Endosulfan Using Laboratory, Mesocosms, and Field Data. *Archives of Environmental
Contamination and Toxicology*, **47**, 511-520.

```
# (1) load of data
#
data(endosulfan)
# (2) plot and description of data for non Australian fish in decimal logarithm
#
log10ATV <-log10(subset(endosulfan,(Australian == "no") & (group == "Fish"))$ATV)
plotdist(log10ATV)
descdist(log10ATV,boot=1000)
# (3) fit of a normal and a logistic distribution to data in log10
# (classical distributions used for SSD)
# and visual comparison of the fits
#
fln <- fitdist(log10ATV,"norm")
summary(fln)
fll <- fitdist(log10ATV,"logis")
summary(fll)
cdfcomp(list(fln,fll),legendtext=c("normal","logistic"),
xlab="log10ATV")
denscomp(list(fln,fll),legendtext=c("normal","logistic"),
xlab="log10ATV")
qqcomp(list(fln,fll),legendtext=c("normal","logistic"))
ppcomp(list(fln,fll),legendtext=c("normal","logistic"))
gofstat(list(fln,fll), fitnames = c("lognormal", "loglogistic"))
# (4) estimation of the 5 percent quantile value of
# logistic fitted distribution (5 percent hazardous concentration : HC5)
# with its two-sided 95 percent confidence interval calculated by
# parametric bootstrap
# with a small number of iterations to satisfy CRAN running times constraint.
# For practical applications, we recommend to use at least niter=501 or niter=1001.
#
# in log10(ATV)
bll <- bootdist(fll,niter=101)
HC5ll <- quantile(bll,probs = 0.05)
# in ATV
10^(HC5ll$quantiles)
10^(HC5ll$quantCI)
# (5) estimation of the 5 percent quantile value of
# the fitted logistic distribution (5 percent hazardous concentration : HC5)
# with its one-sided 95 percent confidence interval (type "greater")
# calculated by
# nonparametric bootstrap
# with a small number of iterations to satisfy CRAN running times constraint.
# For practical applications, we recommend to use at least niter=501 or niter=1001.
#
# in log10(ATV)
bllnonpar <- bootdist(fll,niter=101,bootmethod = "nonparam")
HC5llgreater <- quantile(bllnonpar,probs = 0.05, CI.type="greater")
# in ATV
10^(HC5llgreater$quantiles)
10^(HC5llgreater$quantCI)
# (6) fit of a logistic distribution
# by minimizing the modified Anderson-Darling AD2L distance
# cf. ?mgedist for definition of this distance
#
fllAD2L <- fitdist(log10ATV,"logis",method="mge",gof="AD2L")
summary(fllAD2L)
plot(fllAD2L)
```

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