probit.trans: Probit-transform the data and apply Abbott's correction

In BioRssay: Analyze Bioassays and Probit Graphs

Probit-transform the data and apply Abbott's correction

Description

This function applies probit transformation to the data, after applying Abbott's correction (see reference) when control groups (e.g. unexposed susceptible strain) show non-negligible mortality.

Usage

probit.trans(dataf, conf = 0.05)

Arguments

dataf	a data frame of mortality data containing four mandatory columns "strain", "dose", "total", "dead" (not necessarily in that order).
conf	numerical. Threshold for the mortality in the controls above which the correction should be applied (default=0.05)

Value

Returns a list. convrg: with correction values and convergence (NULL if mortality in the controls is below conf.), tr.data: transformed data

Author(s)

Pascal Milesi, Piyal Karunarathne, Pierrick Labbé

References

Abbott, WS (1925). A method of computing the effectiveness of an insecticide. J. Econ. Entomol.;18:265‐267.

Examples

data(bioassay)
transd<-probit.trans(bioassay)

BioRssay documentation built on Aug. 9, 2022, 5:09 p.m.