sizzled's Introduction

sizzled

The aim of sizzled package is to use some foundational aspects of edibble package but include extra functionality to support experiments that initially have an unknown structure, i.e. requiring calculation for sample size for some units.

(WIP) There is not much to see here.

Below is not implemented.

library(edibble)
library(sizzled)
out <- start_design() %>% 
  set_trts(treat = c("placebo", "vaccine")) %>% 
  set_units(person = symbol("npeople")) %>% 
  allocate_trts(treat ~ person) %>% 
  randomise_trts() %>% 
  serve_table()

# trying different sample sizes, 
# output here is a list
out %>% 
  set_symbols(npeople = c(40, 100, 200))

# standard sample size calculator
# non-vectorised version
out %>% 
  set_symbols(npeople = siz(power = 80,
                            sig_level = 0.05,
                            alternative = "two.sided",
                            effect = 3,
                            target_group = treat))

# vectorised version
out %>% 
  set_symbols(npeople = sizz(...))

# proportion version
out %>% 
  set_symbols(npeople = sizp(...))

# one that relies on other unit structures, etc
out %>% 
  set_symbols(npeople = sizzz(...))

# add more z to have other variations, but more z usually means more
# complex structure

One shouldn’t sizzle too much lest you overcook your edibble design.

The sizzling sound also could be the sound of the statistician silently boiling in anger when told to do yet another sample size calculation from their non-statistical colleague. Beware of that sizzling statistician.

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