cum_normal_fun: Cumulative normal function
In danilinares/quickpsy: Fits Psychometric Functions for Multiple Groups
View source: R/cum_normal_fun.R
cum_normal_fun R Documentation
Cumulative normal function
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
library(ggplot2)
xseq <- seq(0,4,.01)
yseq <- cum_normal_fun(xseq, c(2, .5))
curve <- data.frame(x = xseq, y = yseq)
ggplot2::ggplot(curve, aes(x = x, y = y)) + geom_line()
danilinares/quickpsy documentation built on Feb. 13, 2023, 8:44 p.m.
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View source: R/cum_normal_fun.R
| cum_normal_fun | R Documentation |
Cumulative normal function
Description
Cumulative normal function.
Usage
cum_normal_fun(x, p)
Arguments
x |
Vector of values of the explanatory variable. |
p |
Vector of parameters |
Value
Probability at each x.
See Also
inv_cum_normal_fun
Examples
library(ggplot2) xseq <- seq(0,4,.01) yseq <- cum_normal_fun(xseq, c(2, .5)) curve <- data.frame(x = xseq, y = yseq) ggplot2::ggplot(curve, aes(x = x, y = y)) + geom_line()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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