# Clean up and save CHILDES subset ----------------------------------------
library(here)
library(dplyr)
library(readr)
library(usethis)
utterances_fil <- readr::read_csv(here::here("data-raw", "utterances_filtered.csv"),
col_types = cols(media_end = col_double(),
media_start = col_double(),
media_unit = col_character()))
childes <- utterances_fil %>%
select(collection = collection_name, corpus = corpus_name,
child = target_child_name, sex = target_child_sex,
age = target_child_age, transcript_id,
utterance = gloss)
childes_utterances <- childes %>%
mutate(collection = parse_factor(collection, levels = c("Eng-NA", "Clinical-MOR")),
corpus = parse_factor(corpus, levels = c("Bloom70", "Braunwald", "Brown",
"Clark", "Cornel", "Demestras1",
"EllisWeismer", "Hall", "Kuczaj",
"MacWhinney", "Sachs", "Suppes",
"Warren", "Weist")),
sex = parse_factor(sex, levels = c("male", "female")))
readr::write_csv(childes_utterances, here::here("data-raw", "childes_utterances.csv"))
usethis::use_data(childes_utterances, overwrite = T)
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