gen_dims_comb_stats: Generate stats for all combinations of dims to be analysis
In YuanchenZhu2020/antgreens: Automatic Generation of Vegetable Report

Description Usage Arguments Value Examples

'gen_dims_comb_stats()' returns a list contains $2^length(all_dims)$ data frame. It will calculate the specified statistical indicators for each combination of dimensions to be analysis.

1	gen_dims_comb_stats(data, all_dims, fast = TRUE)

`data`	data.table if 'fast' is 'TRUE' where data.frame if 'fast' is FALSE. It is the data divided by MRL so you should evaluate function 'calc_treated_data()' before using it.
`all_dims`	character vector of all dimensions.
`fast`	logic, default is 'TRUE'. Determine whether to use a more efficient function rewrite with data.table.

a list contains $2^length(all_dims)$ data.frame. Each data.frame is named with dimensions' names connected with underline and contains dimensions columns and statistic columns.

# treated_data <- calc_treated_data(raw_data, mrl_data, "\u7532\u80fa\u78f7", "\u4e8c\u7532\u620a\u7075")
# dims <- c(names(RawColumnTrans), "product", "drug")
## fast mode
# gen_dims_comb_stats(data, dims)
## slow mode
# gen_dims_comb_stats(treated_data, dims, fast = FALSE)