rapids/src/features/communication_sms_metrics.R

23 lines
845 B
R

source("packrat/init.R")
library(dplyr)
sms <- read.csv(snakemake@input[[1]])
day_segment <- snakemake@params[["day_segment"]]
metric <- snakemake@params[["metric"]]
sms_type <- snakemake@params[["sms_type"]]
output_file <- snakemake@output[[1]]
metrics <- sms %>% filter(message_type == ifelse(sms_type == "received", "1", "2"))
if(day_segment == "daily"){
metrics <- metrics %>% group_by(local_date)
} else {
metrics <- metrics %>% filter(day_segment == local_day_segment) %>% group_by(local_date)
}
metrics <- switch(metric,
"count" = metrics %>% summarise(!!paste("com", "sms", sms_type, day_segment, metric, sep = "_") := n()),
"distinctcontacts" = metrics %>% summarise(!!paste("com", "sms", sms_type, day_segment, metric, sep = "_") := n_distinct(trace)))
write.csv(na.omit(metrics), output_file, row.names = F)