mmetrics
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Easy computation of Marketing Metrics in R
After #29 , implement sample size calculation for distrete/continuous kpis
Can we have more than one step data-manipulation functions? For example ``` data %>% group_by(age_range, d_imp_rate_level) %>% summarise(n_users_mean = round(mean(n_users))) %>% ungroup() %>% group_by(age_range) %>% mutate(total_n_users_mean = sum(n_users_mean), pctg_users_mean =...
`summarise_if` `summarise_all` type of function in `mmetrics::define()`, which applies the same function as long as the variables satisfy certain criteria, such as if `is.numeric(var) == TRUE`, the pre-defined metrics fun...
e.g. - df - y - x https://github.com/y-bar/mmetrics/blob/master/R/mplot.R