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2023 Jan 05
1
R 'arima' discrepancies
...uot;livres", id.num == 27863 ~ "industriais", id.num == 27864 ~ "alimentos", TRUE ~ series.name)) ipca <- ipca %>% select(data = ref.date, valor = value, series.name) %>% pivot_wider(names_from = "series.name", values_from = "valor") ipca_tsb <- ipca %>% mutate(data = yearmonth(data)) %>% arrange(data) %>% as_tsibble() ipca_ts <- ipca_tsb %>% ts_ts() ##Eviews and Gretl can easily import 'dta' files ---- ipca %>% foreign::write.dta("ipca.dta") #=====================================...