# This is a regular R script
# It analyzes the sample data and generates its profile for format identification
require(psyphr)
require(tidyverse)
MW_file_paths <- list.files("inst/extdata/MW",
pattern = ".xlsx$",
full.names = TRUE)
MW_format_names <- psyphr:::bare_name(MW_file_paths)
MW_workbooks <- map(MW_file_paths, psyphr:::read_MW_workbook)
MW_worksheets_names<-
MW_workbooks %>%
map(~ rlang::squash(.x) %>% names())
MW_Settings_fields <-
MW_workbooks %>%
map(~ `[[`(.x, "Settings") %>% psyphr:::df_to_vector() %>% names())
MW_format_profiles <-
map2(MW_worksheets_names,
MW_Settings_fields,
~list(worksheets = .x
# settings = .y)
)) %>%
`names<-`(MW_format_names)
saveRDS(MW_format_profiles, file = "inst/extdata/MW/MW_format_profiles.rds")
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