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use3_EVT.R
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# totEVT, meanEVT -------------------------------------------------------------
print("totEVT, meanEVT")
spX <- c("XPX", "SFX", "PRX", "MRX", "MDX", "OZX")
# By Event type ---------------------------------------------------
print("by Event type...")
for(row in row_grps) { print(sprintf(" row = %s", row))
subdsgn <- subset(EVNTdsgn, XPX >= 0)
by_row <- as.formula(sprintf("~%s + ind1", row))
by_event <- as.formula(sprintf("~%s + event", row))
by_evt_v2X <- as.formula(sprintf("~%s + event_v2X", row))
res <- list()
#
# res[["totEVT-anyEV"]] <- svyby(~(XPX >= 0), FUN = svytotal, by = by_row, design = subdsgn)
# res[["meanEVT-anyEV"]] <- svyby(~XPX, FUN = svymean, by = by_row, design = subdsgn)
res[["totEVT-event"]] <- svyby(~(XPX >= 0), FUN = svytotal, by = by_event, design = subdsgn)
res[["meanEVT-event"]] <- svyby(~XPX, FUN = svymean, by = by_event, design = subdsgn)
res[["totEVT-event_v2X"]] <-
svyby(~(XPX >= 0), FUN = svytotal, by = by_evt_v2X, design = subdsgn)
res[["meanEVT-event_v2X"]] <-
svyby(~XPX, FUN = svymean, by = by_evt_v2X, design = subdsgn)
# Output to csv
for(rs in names(res)) {
stat = str_split(rs, "-")[[1]][1]
ev = str_split(rs, "-")[[1]][2]
res[[rs]] %>% select(-matches("FALSE")) %>%
setNames(c("rowLevels", "colLevels", stat, p(stat, "_se"))) %>%
mutate(rowGrp = row, colGrp = ev) %>%
update.csv(file = sprintf("%s/%s.csv", year, stat), dir = tbl_dir)
}
}
# By SOP ----------------------------------------------------------
print("by SOP...")
for(row in row_grps) { print(sprintf(" row = %s", row))
by_form <- as.formula(sprintf("~%s", row))
for(sp in spX) {
pop_form <- as.formula(sprintf("~(%s > 0)", sp))
exp_form <- as.formula(sprintf("~%s", sp))
subdsgn <- subset(EVNTdsgn, EVENTS[[sp]] >= 0)
res <- list()
res[["totEVT"]] <- svyby(pop_form, FUN = svytotal, by = by_form, design = subdsgn)
res[["meanEVT"]] <- svyby(exp_form, FUN = svymean, by = by_form, design = subdsgn)
# Output to csv (pull event, sop indicators out of colLevels)
for(stat in names(res)) {
res[[stat]] %>% select(-matches("FALSE")) %>%
setNames(c("rowLevels", stat, p(stat, "_se"))) %>%
mutate(rowGrp = row, colGrp = "sop", colLevels = sp) %>%
update.csv(file = sprintf("%s/%s.csv", year, stat), dir = tbl_dir)
}
}
}
# Event x SOP ---------------------------------------------------
for(sp in spX) {
pop_form <- as.formula(sprintf("~(%s > 0)", sp))
exp_form <- as.formula(sprintf("~%s", sp))
subdsgn <- subset(EVNTdsgn, EVENTS[[sp]] >= 0)
res <- list()
res[["totEVT-event"]] <- svyby(pop_form, FUN = svytotal, by = ~event, design = subdsgn)
res[["meanEVT-event"]] <- svyby(exp_form, FUN = svymean, by = ~event, design = subdsgn)
res[["totEVT-event_v2X"]] <- svyby(pop_form, FUN = svytotal, by = ~event_v2X, design = subdsgn)
res[["meanEVT-event_v2X"]] <- svyby(exp_form, FUN = svymean, by = ~event_v2X, design = subdsgn)
# Output to csv (pull event, sop indicators out of colLevels)
for(rs in names(res)) {
stat = str_split(rs, "-")[[1]][1]
ev = str_split(rs, "-")[[1]][2]
res[[rs]] %>% select(-matches("FALSE")) %>%
setNames(c("rowLevels", stat, p(stat, "_se"))) %>%
mutate(rowGrp = ev, colGrp = "sop", colLevels = sp) %>%
select(rowGrp, colGrp, rowLevels, colLevels, colnames(.)) %>%
update.csv(file = sprintf("%s/%s.csv", year, stat), dir = tbl_dir)
}
}
# avgEVT ----------------------------------------------------------------------
print("avgEVT")
stat <- "avgEVT"
outname <- sprintf("%s/%s.csv", year, stat)
# By Event type ---------------------------------------------------
print("By event type...")
for(row in row_grps) {
by_form <- as.formula(sprintf("~%s + event", row))
res <- svyby(~ANY, by = by_form, FUN = svymean, design = EVdsgn)
res %>%
setNames(c("rowLevels", "colLevels", stat, p(stat, "_se"))) %>%
mutate(rowGrp = row, colGrp = "event") %>%
update.csv(file = outname, dir = tbl_dir)
}
# By SOP ----------------------------------------------------------
print("by SOP...")
for(row in row_grps) {
by_form <- as.formula(sprintf("~%s", row))
res <- svyby(~EXP + SLF + MCR + MCD + PTR + OTZ, FUN = svymean, by = by_form, design = nEVTdsgn)
res %>%
stdize(row = row, stat = stat) %>%
mutate(rowGrp = row, colGrp = "sop") %>%
update.csv(file = outname, dir = tbl_dir)
}
# Event x SOP ---------------------------------------------------
print("Event x SOP...")
res <- svyby(~EXP + SLF + MCR + MCD + PTR + OTZ, by = ~event, FUN = svymean, design = EVdsgn)
res %>%
stdize(row = "event", stat = stat) %>%
mutate(rowGrp = "event", colGrp = "sop") %>%
update.csv(file = outname, dir = tbl_dir)