updateHFRX= function(filepath){
hfrx.raw <- read_csv(filepath,
col_types = cols(Date = col_date(format = "%m/%d/%Y")))
hfrx.raw = hfrx.raw[!apply(hfrx.raw, 1, function(r)all(is.na(r))),]
hfrx.lu = unique(hfrx.raw[, c("Index", "Ticker")])
hfrx = reshape2::dcast(hfrx.raw, Date ~ Ticker, value.var = "Return")
hfrx = xts(hfrx[, 2:ncol(hfrx)], order.by = as.yearmon(hfrx$Date))
devtools::use_data(hfrx, overwrite = TRUE)
devtools::load_all()
}
updateHFRI = function(filepath){
hfri.raw <- read_csv(filepath,
col_types = cols(Date = col_date(format = "%m/%d/%Y")))
hfri.raw = hfri.raw[!apply(hfri.raw, 1, function(r)all(is.na(r))),]
hfri.lu = unique(hfri.raw[, c("Index", "Ticker")])
hfri = reshape2::dcast(hfri.raw, Date ~ Ticker, value.var = "Return")
hfri = xts(hfri[, 2:ncol(hfri)], order.by = as.yearmon(hfri$Date))
devtools::use_data(hfri, overwrite = TRUE)
devtools::load_all()
}
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