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run_sim.R
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run_sim.R
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###########################################
###########################################
###########################################
##### #####
##### #####
##### Output simulation table results #####
##### #####
##### #####
###########################################
###########################################
###########################################
###### Start benchmark
start_time <- Sys.time()
##### Set seed
set.seed(123)
##### Path to directory
path="yourpathhere"
setwd(path)
##### Packages and functions
source("functions_gen_rng_var.R")
source("functions_simul_rcsdid.R")
##### Set parameters common to all simulations
nrep = 1000
estim="all"
tre = 0.3
##### Create random variables to be held constant across all simulations
functions_gen_rng_var(path)
###########################
###########################
##### #####
##### Run simulations #####
##### #####
###########################
###########################
##### Run table scale parameter #####
vnbf = c(1)
outfile = "tab_scale.rds"
samp_size = list(list("30", "30", "scalenor", "1", "100", "02", "0.2"),
list("30", "30", "scalenor", "2", "100", "02", "0.2"),
list("30", "30", "scalenor", "4", "100", "02", "0.2"),
list("30", "30", "scalenor", "6", "100", "02", "0.2"),
list("30", "30", "scalenor", "8", "100", "02", "0.2"),
list("30", "30", "scalenor", "10", "100", "02", "0.2"),
list("30", "30", "scalenor", "15", "100", "02", "0.2"),
list("30", "30", "scalenor", "20", "100", "02", "0.2")
)
functions_simul_rcsdid(nrep, vnbf, samp_size, path, tre, estim, outfile)
##### Run table number of IFE #####
samp_size = list(list("30", "30", "scalenor", "10", "100", "02", "0.2"))
outfile = "tab_ife.rds"
vnbf = c(0,1,2,3,4)
functions_simul_rcsdid(nrep, vnbf, samp_size, path, tre, estim, outfile)
##### Run table correlation individual FE and scale parameter #####
vnbf = c(1)
outfile = "tab_cors.rds"
samp_size = list(list("30", "30", "scalenor", "10", "100", "0", "0.2"),
list("30", "30", "scalenor", "10", "100", "02", "0.2"),
list("30", "30", "scalenor", "10", "100", "05", "0.2"),
list("30", "30", "scalenor", "10", "100", "08", "0.2"),
list("30", "30", "scalenor", "10", "100", "1", "0.2")
)
functions_simul_rcsdid(nrep, vnbf, samp_size, path, tre, estim, outfile)
##### Run table correlation treatment FE/IFE #####
vnbf = c(1)
outfile = "tab_w.rds"
samp_size = list(list("30", "30", "scalenor", "10", "100", "02", "1"),
list("30", "30", "scalenor", "10", "100", "02", "0.8"),
list("30", "30", "scalenor", "10", "100", "02", "0.6"),
list("30", "30", "scalenor", "10", "100", "02", "0.4"),
list("30", "30", "scalenor", "10", "100", "02", "0.2"),
list("30", "30", "scalenor", "10", "100", "02", "0")
)
functions_simul_rcsdid(nrep, vnbf, samp_size, path, tre, estim, outfile)
##### Run table size #####
vnbf = c(1)
outfile = "tab_size.rds"
samp_size = list(list("30", "30", "scalenor", "10", "100", "02", "0.2"),
list("15", "30", "scalenor", "10", "100", "02", "0.2"),
list("30", "15", "scalenor", "10", "100", "02", "0.2"),
list("15", "15", "scalenor", "10", "100", "02", "0.2"),
list("30", "30", "scalenor", "10", "50", "02", "0.2"),
list("15", "30", "scalenor", "10", "50", "02", "0.2"),
list("30", "15", "scalenor", "10", "50", "02", "0.2"),
list("15", "15", "scalenor", "10", "50", "02", "0.2")
)
functions_simul_rcsdid(nrep, vnbf, samp_size, path, tre, estim, outfile)
###### End benchmark
end_time <- Sys.time()
end_time - start_time
# 4.573785 hours using 16 threads on a Ryzen 7 7700X.
###########################
###########################
##### #####
##### Output tables #####
##### #####
###########################
###########################
##### Packages
library("dplyr")
##### Working directory
setwd(path)
##### Import results
tab_scale = readRDS("tab_scale.rds")
tab_ife = readRDS("tab_ife.rds")
tab_cors = readRDS("tab_cors.rds")
tab_w = readRDS("tab_w.rds")
tab_size = readRDS("tab_size.rds")
##### Final tables
fintab = function(df){
fdf = NULL
for (j in 1:length(df)) {
namerow = names(df)[[j]]
adf = data.frame(df[[j]])
rownames(adf) = namerow
fdf = rbind(fdf, adf)
}
rdf = fdf[,c(1,4,7,2,5,8,3,6,9)]
return(rdf)
}
ftab_scale = fintab(tab_scale)
ftab_ife = fintab(tab_ife)
ftab_cors = fintab(tab_cors)
ftab_w = fintab(tab_w)
ftab_size = fintab(tab_size)
# Output tex
ftab_scale %>%
knitr::kable(format = 'latex', booktabs = TRUE) %>%
writeLines('sim_tab_scale.tex')
ftab_ife %>%
knitr::kable(format = 'latex', booktabs = TRUE) %>%
writeLines('sim_tab_ife.tex')
ftab_cors %>%
knitr::kable(format = 'latex', booktabs = TRUE) %>%
writeLines('sim_tab_cors.tex')
ftab_w %>%
knitr::kable(format = 'latex', booktabs = TRUE) %>%
writeLines('sim_tab_w.tex')
ftab_size %>%
knitr::kable(format = 'latex', booktabs = TRUE) %>%
writeLines('sim_tab_size.tex')