plot.invsample: plot.invsample
In aumath-advancedr2019/ACM_2019: Monte Carlo methods
Description
Usage
Arguments
Value
Examples
View source: R/plot.invsampling.R
Description
The function plot.invsample() plots the empirical distribution function of the sampled values
Usage
1
2
## S3 method for class 'invsample'
plot(inv_sample, ggplot = FALSE)
Arguments
ggplot
indicates if you want to use ggplot; please note that ggplot has to be installed in this case
Value
returns a plot of the empirical distribution function
Examples
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Finv <- function(x){-log(1-x)}
F_dist <- function(x){1-exp(-x)}
inv_samples <- inv_sample(Finv, N = 10000)
inv_samples_withF <- inv_sample(Finv, N = 10000, F_distribution = F_dist)
plot(inv_samples)
plot(inv_samples_withF)
aumath-advancedr2019/ACM_2019 documentation built on Nov. 26, 2019, 2:07 a.m.
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Description Usage Arguments Value Examples
View source: R/plot.invsampling.R
Description
The function plot.invsample() plots the empirical distribution function of the sampled values
Usage
1 2 | ## S3 method for class 'invsample'
plot(inv_sample, ggplot = FALSE)
|
Arguments
ggplot |
indicates if you want to use ggplot; please note that ggplot has to be installed in this case |
Value
returns a plot of the empirical distribution function
Examples
1 2 3 4 5 6 7 8 | Finv <- function(x){-log(1-x)}
F_dist <- function(x){1-exp(-x)}
inv_samples <- inv_sample(Finv, N = 10000)
inv_samples_withF <- inv_sample(Finv, N = 10000, F_distribution = F_dist)
plot(inv_samples)
plot(inv_samples_withF)
|
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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