rapids/src/data/phone_sensed_bins.R

32 lines
1.1 KiB
R

source("renv/activate.R")
library(dplyr)
library(tidyr)
all_sensors <- snakemake@input[["all_sensors"]]
bin_size <- snakemake@params[["bin_size"]]
output_file <- snakemake@output[[1]]
# Load all sensors and extract timestamps
all_sensor_data <- data.frame(timestamp = c())
for(sensor in all_sensors){
sensor_data <- read.csv(sensor, stringsAsFactors = F) %>%
select(local_date, local_hour, local_minute) %>%
mutate(sensor = basename(sensor))
all_sensor_data <- rbind(all_sensor_data, sensor_data)
}
phone_sensed_bins <- all_sensor_data %>%
mutate(bin = (local_minute %/% bin_size) * bin_size) %>% # bin rows into bin_size-minute bins
group_by(local_date, local_hour, bin) %>%
summarise(sensor_count = n_distinct(sensor)) %>%
ungroup() %>%
complete(nesting(local_date),
local_hour = seq(0, 23, 1),
bin = seq(0, (59 %/% bin_size) * bin_size, bin_size),
fill = list(sensor_count=0)) %>%
pivot_wider(names_from = c(local_hour, bin), values_from = sensor_count)
write.csv(phone_sensed_bins, output_file, row.names = FALSE)