Created
July 19, 2016 23:28
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using purrr for simple R simulations
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nrep <- 100 | |
d <- expand.grid(n=c(3,5,10,20), sd=c(1,2,3)) | |
d <- d[rep(seq_len(nrow(d)),each=nrep),] | |
simulate <- function(n, sd) { | |
rnorm(n=n, mean=0, sd=sd) | |
} | |
library(purrr) | |
library(dplyr) | |
d2 <- d %>% mutate( | |
sim = map2(n, sd, simulate), | |
RMSE = map_dbl(sim, ~sqrt(mean(.^2))), | |
MAD = map_dbl(sim, ~1.48*median(abs(.))) | |
) | |
d2 <- select(d2, -sim) | |
d2$n %<>% factor | |
library(reshape) | |
m <- melt(d2, id.vars=c("n","sd")) | |
library(ggplot2) | |
p <- ggplot(m, aes(x=n, y=value, col=variable)) + | |
geom_boxplot() + | |
facet_wrap(~ sd) | |
print(p) |
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