d <- stack(data.frame(EuStockMarkets))
d$time <- rep(as.numeric(time(EuStockMarkets)), 4)
d$year <- floor(d$time)
byIndexYear <- divide(d, by = c("ind", "year"))
cogFn <- function(x)
list(lormse = cogLoessRMSE(values ~ time, data = x, span = 0.3, degree = 2),
slope = cogSlope(values ~ time, data = x),
range = cogRange(x$values),
mean = cogMean(x$values),
max = cog(max(x$values, na.rm = TRUE), desc = "max value"))
applyCogFn(cogFn, byIndexYear[[1]])
library(lattice)
panelFn <- function(x)
xyplot(values ~ time, data = x,
panel = function(x, y, ...) {
panel.xyplot(x, y, ...)
panel.loess(x, y, span = 0.3,
degree = 2, evaluation = 200, col = "black")
})
vdbConn(tempfile(), autoYes = TRUE)
makeDisplay(byIndexYear, name = "ts_index_year",
cogFn = cogFn, panelFn = panelFn)
\dontrun{
# sort and fiter the index/year panels by slope and loess RMSE
view(name = "ts_index_year")
}
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