inv_cum_normal_fun: Inverse cumulative normal function

In quickpsy: Fits Psychometric Functions for Multiple Groups

Description

Inverse cumulative normal function

Usage

inv_cum_normal_fun(prob, p)

Arguments

prob	Vector of probabilities.
p	Vector of parameters p = c(mean, standard_deviation).

Value

x at each probability. #' @seealso cum_normal_fun

Examples

yseq <- seq(0, 1, .01)
xseq <- inv_cum_normal_fun(yseq, c(2, .5))
curve <- data.frame(x = xseq, y = yseq)
ggplot(curve, aes(x = x, y = y)) + geom_line()

Example output

Loading required package: DEoptim
Loading required package: parallel

DEoptim package
Differential Evolution algorithm in R
Authors: D. Ardia, K. Mullen, B. Peterson and J. Ulrich

Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: ggplot2

Attaching package: 'quickpsy'

The following object is masked from 'package:stats':

    deviance

quickpsy documentation built on Oct. 2, 2019, 5:03 p.m.