setup({
library(data.table)
d = data.table(
observations = c(1,2,3),
conversions = c(0,0,1),
estimate1 = c(0.1,0.1,0.1),
estimate2 = c(0,0.6,0.1)
)
d2 = data.table(
observations = c(1,4,3,2),
conversions = c(0,0,1,1),
estimate1 = c(0.1,0.1,0.1,0.1),
estimate2 = c(0.2,0.2,0.3,0.3)
)
d3 = data.table(
observations = c(9, 2, 2),
conversions = c( 1, 0, 0),
estimate1 = c(0.1,0.1,0.1),
estimate2 = c(0.2,0.2,0.4)
)
# testing grouping when last element doesn't belong to 'complete' group of items
d4 = data.table(
observations = c(10, 4, 1, 2),
conversions = c( 1, 0, 0, 0),
estimate1 = c(0.1, 0.1, 0.1, 0.1),
estimate2 = c(0.2, 0.2, 0.4, 0.1)
)
trial_column = 'observations'
success_column = 'conversions'
estimate_columns = c('estimate1', 'estimate2')
min_observations = 5
save(d, d2, d3, d4,
trial_column, success_column, estimate_columns, min_observations,
file = 'fixtures-combiners.RData')
})
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