subset.ezsim: Return of the Simulation

In ezsim: provide an easy to use framework to conduct simulation

Description

Return a subset of the simulation result of an ezsim object.

Usage

## S3 method for class 'ezsim'
subset(x, subset, ...)

Arguments

x	An ezsim Object
subset	A list contains the subset of estimators and parameters. To select a subset of estimators: list(estimator=c('name of estimator1','name of estimator2')). To select a subset of parameters: list(mean=1:3,sd=4:5). Or both.
...	unused

Value

sim of ezsim

Note

For internal use of ezsim.

Author(s)

TszKin Julian Chan [e-mail]

See Also

ezsim

Examples

## Not run: 
ezsim_basic<-ezsim(
    m             = 100,
    run           = TRUE,
    display_name  = c(mean_hat="hat(mu)",sd_mean_hat="hat(sigma[hat(mu)])"),
    parameter_def = createParDef(list(n=seq(20,80,20),mu=c(0,2),sigma=c(1,3,5))),
    dgp           = function() rnorm(n,mu,sigma),
    estimator     = function(x) c(mean_hat = mean(x),
                                 sd_mean_hat=sd(x)/sqrt(length(x)-1)),
    true_value    = function() c(mu, sigma / sqrt(n-1))
)
subset(ezsim_basic,subset=list(estimator='mean_hat',mu=0,n=c(20,40)))

## End(Not run)

Example output

Testing for estimator...Passed
Testing for estimator parser...Passed
Testing for true value...Passed
Number of Simulation : 100 

Estimator : 
function (x) 
c(mean_hat = mean(x), sd_mean_hat = sd(x)/sqrt(length(x) - 1))
<bytecode: 0x3670c38>

dgp : 
function () 
rnorm(n, mu, sigma)

True value of estimator : 
function () 
c(mu, sigma/sqrt(n - 1))

Selection Parameters:
$n
[1] 20 40 60 80

$mu
[1] 0 2

$sigma
[1] 1 3 5


Banker Parameters:
list()

ezsim documentation built on May 1, 2019, 8:04 p.m.