Nothing
## ----nomessages, echo = FALSE-------------------------------------------------
knitr::opts_chunk$set(
warning = FALSE,
message = FALSE,
fig.height = 5,
fig.width = 5
)
options(digits=4)
par(mar=c(3,3,1,1)+.1)
## ----echo=FALSE---------------------------------------------------------------
set.seed(1)
## -----------------------------------------------------------------------------
library(SimDesign)
# SimFunctions(comments=FALSE)
Design <- createDesign(N = c(10,20,30))
## -----------------------------------------------------------------------------
Generate <- function(condition, fixed_objects = NULL) {
ret <- with(condition, rnorm(N))
ret
}
Analyse <- function(condition, dat, fixed_objects = NULL) {
whc <- sample(c(0,1,2,3), 1, prob = c(.7, .20, .05, .05))
if(whc == 0){
ret <- mean(dat)
} else if(whc == 1){
ret <- t.test() # missing arguments
} else if(whc == 2){
ret <- t.test('invalid') # invalid arguments
} else if(whc == 3){
# throw error manually
stop('Manual error thrown')
}
# manual warnings
if(sample(c(TRUE, FALSE), 1, prob = c(.1, .9)))
warning('This warning happens rarely')
if(sample(c(TRUE, FALSE), 1, prob = c(.5, .5)))
warning('This warning happens much more often')
ret
}
Summarise <- function(condition, results, fixed_objects = NULL) {
ret <- c(bias = bias(results, 0))
ret
}
## ----include=FALSE------------------------------------------------------------
set.seed(1)
## -----------------------------------------------------------------------------
result <- runSimulation(Design, replications = 100,
generate=Generate, analyse=Analyse, summarise=Summarise)
## -----------------------------------------------------------------------------
print(result)
## -----------------------------------------------------------------------------
SimExtract(result, what = 'errors')
## ----eval=FALSE---------------------------------------------------------------
# runSimulation(..., debug = 'error-4')
## -----------------------------------------------------------------------------
seeds <- SimExtract(result, what = 'error_seeds')
head(seeds[,1:3])
## ----eval=FALSE---------------------------------------------------------------
# picked_seed <- seeds$Design_row_1.1..Error.in.t.test.default..invalid.....not.enough..x..observations.
#
# # debug analyse() for first row of Design object via debug='analyse-1'
# runSimulation(Design, replications = 100, load_seed=picked_seed, debug='analyse-1',
# generate=Generate, analyse=Analyse, summarise=Summarise)
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