Hazard Concentration
Gets concentrations that protect specified percentages of species.
ssd_hc(x, ...) ## S3 method for class 'list' ssd_hc(x, percent = 5, hc = 5, ...) ## S3 method for class 'fitdist' ssd_hc( x, percent = 5, hc = 5, ci = FALSE, level = 0.95, nboot = 1000, parallel = NULL, ncpus = 1, ... ) ## S3 method for class 'fitdistcens' ssd_hc( x, percent = 5, hc = 5, ci = FALSE, level = 0.95, nboot = 1000, parallel = NULL, ncpus = 1, ... ) ## S3 method for class 'fitdists' ssd_hc( x, percent = 5, hc = 5, ci = FALSE, level = 0.95, nboot = 1000, parallel = NULL, ncpus = 1, average = TRUE, ic = "aicc", ... ) ## S3 method for class 'fitdistscens' ssd_hc( x, percent = 5, hc = 5, ci = FALSE, level = 0.95, nboot = 1000, parallel = NULL, ncpus = 1, average = TRUE, ic = "aic", ... )
x |
The object. |
... |
Unused. |
percent |
A numeric vector of percentages. |
hc |
A numeric vector of percentages. |
ci |
A flag specifying whether to estimate confidence intervals (by parametric bootstrapping). |
level |
A number between 0 and 1 of the confidence level. |
nboot |
A count of the number of bootstrap samples to use to estimate the se and confidence limits. |
parallel |
A string specifying the type of parallel operation to be used ('no', 'snow' or 'multicore'). |
ncpus |
A count of the number of parallel processes to use. |
average |
A flag specifying whether to model average the estimates. |
ic |
A string specifying which information-theoretic criterion ('aic', 'aicc' or 'bic') to use for model averaging . |
A data frame of the percent and concentrations.
list
: Hazard Percent list of distributions
fitdist
: Hazard Percent fitdist
fitdistcens
: Hazard Percent fitdistcens
fitdists
: Hazard Percent fitdists
fitdistscens
: Hazard Percent fitdistcens
ssd_hc(list("lnorm" = NULL)) ssd_hc(list("lnorm" = list(meanlog = 2, sdlog = 1))) ssd_hc(boron_lnorm, c(0, 1, 30, Inf)) ssd_hc(fluazinam_lnorm, c(0, 1, 30, Inf)) ssd_hc(boron_dists, c(0, 1, 30, Inf)) ssd_hc(fluazinam_dists, c(0, 1, 30, Inf))
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