cum_normal_fun: Cumulative normal function

In quickpsy: Fits Psychometric Functions for Multiple Groups

Description

Cumulative normal function.

Usage

cum_normal_fun(x, p)

Arguments

x	Vector of values of the explanatory variable.
p	Vector of parameters p = c(mean, standard_deviation).

Value

Probability at each x.

See Also

inv_cum_normal_fun

Examples

xseq <- seq(0,4,.01)
yseq <- cum_normal_fun(xseq, 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.