library('flusurvey')
library('tidyverse')
dt <- extract_data("flusurvey_raw_2010_2018.rds", years=2012:2013,
surveys=c("background", "symptom", "contact"))
movement <- dt %>%
tbl_df %>%
mutate(symptoms=fct_recode(no.symptoms, yes="f", no="t"),
ili.fever=fct_recode(ili.fever, yes="t", no="f")) %>%
select(participant_id, season,
`conversational.0-4`,
`conversational.5-18`,
`conversational.19-44`,
`conversational.45-64`,
`conversational.65+`,
`physical.0-4`,
`physical.5-18`,
`physical.19-44`,
`physical.45-64`,
`physical.65+`,
furthest.travelled,
date,
age,
gender,
vaccinated=vaccine.this.year,
health.score,
ili.fever,
symptoms)
saveRDS(movement, "movement.rds")
write_csv(movement, "movement.csv")
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