psiLog: psiLog

In dlandy/WarpedBayes: Implements Design Pattern Discussed in Landy, Crawford, & Corbin

Description

This function is a transformation function that takes the log... It's literally just log(stimuli). It's appropriate for mapping (0, +inf):-> (-inf, inf). By design, it is robust to the inclusion of the occasional 0, which it maps to a very small value.

Usage

psiLog(stimuli, smallValue = 10^-30)

Arguments

stimuli	a vector of positive stimuli, between 0 and inf
smallValue	A value to set nominal 0's to, to avoid errors in plotting simulated data, or aberrant responses

Value

a vector containing "warped" stimuli

See Also

psiLinear, psiLogOdds, psiPrelec, psiLog, psiIdentityInverse

Examples

psiLog(1:100)
1:100 %>% psiLog()
1:1000 %>% psiLog() %>% 
    vanillaBayes() %>% 
    psiLogInverse()  # Implements Stevens Power Law

dlandy/WarpedBayes documentation built on May 29, 2019, 2:49 p.m.