est_PAC: Estimation of weighted means and standard deviation of EDR10...

In cdv04/ACTR:

Description

Estimation of weighted means and standard deviation of EDR10 and ED50 samples (in log scale)

Usage

est_PAC(dat, var_grp)

Arguments

var_grp	A group variable telling how counts have to be done (ie.by Class)
dataset	A dataframe
n_min	A integer telling the minimum number of EDR10 and ED50 desired

Details

The function estimates weighted mean and standard deviation of EDR10 and ED50 samples. Weight ar 1/(n_i * n_s), where n_i is the number of ED mesaured on the same species and n_s is the numbre of species in the modality of var_grp (ie. Class). More details into "Acute to chronic species sensivity distribution extrapolation, 2004 (Duboudin et al, Ennv Tox & Chem , vol 23 n 7, p1774 - 1785)

Value

a data frame with the weighted Mu_A, Mu_C, Sigma_A and Sigma_C

Examples

library(ACTR)
data(cipr)
ciprKP <- subset_data(cipr, Class,6)
myPAC <- est_PAC (ciprKP,Class)

cdv04/ACTR documentation built on May 13, 2019, 2:42 p.m.