MakeFrame: Conversion of MonteCarlo outputs to data.frame.

In FunWithR/MonteCarlo: Automatic Parallelized Monte Carlo Simulations

Description

MakeFrame takes the output of MonteCarlo as its argument and returns a data.frame that contains the simulation results.

Usage

MakeFrame(output)

Arguments

output

A MonteCarlo object returned by the MonteCarlo() function.

Details

Each row of the data.frame contains the values returned by func for one repetition of the simulation and the respective values of the parameters.

Value

A data.frame that contains the simulation results.

Examples

test_func<-function(n,loc,scale){
 sample<-rnorm(n, loc, scale)
 stat<-sqrt(n)*mean(sample)/sd(sample)
 decision<-abs(stat)>1.96
 return(list("decision"=decision, "stat"=stat))
}

n_grid<-c(50,100,250,500)
loc_grid<-c(0,1)
scale_grid<-c(1,2)

param_list=list("n"=n_grid, "loc"=loc_grid, "scale"=scale_grid)
erg<-MonteCarlo(func=test_func, nrep=250, param_list=param_list, ncpus=1)
df<-MakeFrame(erg)
head(df)

library(dplyr)
library(ggplot2)
tbl <- tbl_df(df)
ggplot(filter(tbl, loc==0)) + geom_density(aes(x=stat, col=factor(n)))

FunWithR/MonteCarlo documentation built on May 6, 2019, 5:07 p.m.