# Load and reduce all the DIRT spreadsheets
library("stringr")
library("readxl")
library("dplyr")
library("tidyr")
# get all the date data from a single directory of data spreadsheets
collect_dates <- function(date_dir, pattern = "DatesScores", recursive = FALSE) {
# get the full path of each spreadsheet
date_spreadsheets <- date_dir %>%
list.files(pattern = pattern, full.names = TRUE, recursive = recursive) %>%
normalizePath(mustWork = TRUE)
# get the contents of each spreadsheet in large dataframe
all_dates <- date_spreadsheets %>%
lapply(get_date_spreadsheet) %>%
bind_rows
all_dates
}
# load a data spreadsheet and return in a long-format dataframe
get_date_spreadsheet <- function(file_path) {
# load and convert to long format so all spreadsheets have the same columns
contents <- read_excel(file_path, na = "NA") %>%
gather(Variable, Value, -ParticipantID, -Site, -Study) %>%
select(Site, Study, ParticipantID, Variable, Value)
contents
}
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