growth(price, signals, ...)
rollFUN(x, n, FUN, ...)
lags(x, n = 1)
wilderSum(x, n = 10)
growth
returns a vector of the growth of the investment.
rollFUN
returns a vector of function results for the rolling subsets of data.
lags
returns a matrix of lagged values of the original vector.
wilderSum
returns a vector of weighted sums.growth
calculates the growth of an investment using given prices and signals.
rollFUN
allows the calculation of rolling functions.
lags
calculates the lags of a given series.
wilderSum
calculates a Welles Wilder style weighted sum.