rapids/src/data/phone_sensed_timestamps.R

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583 B
R

source("renv/activate.R")
library("dplyr", warn.conflicts = F)
library(readr)
library(tidyr)
library(purrr)
all_sensors = snakemake@input[["all_sensors"]]
sensor_timestamps <- tibble(files = all_sensors) %>%
mutate(timestamps = map(files,~ read_csv(.,col_types = cols_only(timestamp = col_double()))),
sensor = row_number(),
files = NULL) %>%
unnest(timestamps) %>%
mutate(timestamp = (timestamp %/% 1000) * 1000) %>%
distinct(timestamp, .keep_all = TRUE) %>%
arrange(timestamp)
write.csv(sensor_timestamps, snakemake@output[[1]], row.names = FALSE)