setwd("Z:/Data Files/Data Files Objective 2/7th May")
form1 <- read_csv (file="RISE_consent_FJ_2019_final-consent_form1.csv")
consent_temp <- read_csv (file="RISE_consent_FJ_2019_final.csv")
consent_1 <- left_join (consent_temp, form1, by = c("KEY" = "PARENT_KEY")) %>%
select (community_name, house_no, hhd_head_name, consent_form1_yn, phone_y_no)
setwd("Z:/Data Files/Data Files Objective 3")
consent_2 <- read_csv (file = "consent_FJ_v1.csv")
consent_2 <- consent_2 %>% filter (phone_yn == 1) %>%
select (settlement_name, extract_house_no, hhd_head_name, consent_form1_yn, phone_y_no) %>%
rename (community_name = settlement_name, house_no = extract_house_no)
revisits <- child %>% filter (settlement_barcode == "Kinoya" | settlement_barcode == "Lobau" |
settlement_barcode == "Wailea" | settlement_barcode == "Muanivatu") %>%
select (settlement_barcode, extract_house_no, hhd_id, hhd_name, child_name, child_dob,
survey_status, survey_status_other, interviewer_notes, today)
test <- left_join (revisits, consent_1, by = c("settlement_barcode" = "community_name",
"extract_house_no" = "house_no"))
test2 <- left_join (test, consent_2, by = c("settlement_barcode" = "community_name",
"extract_house_no" = "house_no"))
revisits_final <- test2 %>%
mutate (phone_num = ifelse(is.na(phone_y_no.x), phone_y_no.y, phone_y_no.x),
hhd_head_name = ifelse(is.na(hhd_head_name.x), hhd_head_name.y, hhd_head_name.x)) %>%
rename (settlement = settlement_barcode, house_no = extract_house_no) %>%
select (today, settlement, house_no, hhd_head_name, phone_num, child_name,
survey_status, survey_status_other, interviewer_notes) %>%
arrange (settlement, house_no, desc(today)) %>%
distinct (settlement, house_no, .keep_all = TRUE) %>%
filter (survey_status != 1) %>%
filter (survey_status != 7) %>%
filter (survey_status != 8) %>%
select (settlement, house_no, hhd_head_name, phone_num, child_name,
survey_status_other, interviewer_notes)
write_csv(revisits_final, path = "Z:/Reports/Objective 3/O3_Revisits/revisits.csv")
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