View source: R/lmForc_transform.R
convert_byh | R Documentation |
Given a list of forecasts with homogenous origin or future values, converts the forecasts to h_ahead format based on the index passed to the index argument. Subsets all forecasts at the index value and aggregates these forecasts into an h_ahead Forecast object with h_ahead equal to the value passed to the h_aheads argument.
convert_byh(forcs, index, h_aheads)
forcs |
List of Forecast objects with the same number of observations. |
index |
Numeric or logical value or vector. |
h_aheads |
Value or vector of h_ahead values that is equal in length to the index argument. |
Single Forecast object or list of Forecast objects in h_ahead format.
# The following forecasts are in time format. Each forecast was made at a
# different time and represents a forecast for a number of h_ahead periods
# ahead.
forc1_t1 <- Forecast(
origin = as.Date(c("2010-02-17", "2010-02-17", "2010-02-17")),
future = as.Date(c("2010-06-30", "2010-09-30", "2010-12-31")),
forecast = c(4.27, 3.77, 3.52),
realized = c(4.96, 4.17, 4.26),
h_ahead = NA
)
forc1_t2 <- Forecast(
origin = as.Date(c("2010-05-14", "2010-05-14", "2010-05-14")),
future = as.Date(c("2010-09-30", "2010-12-31", "2011-03-31")),
forecast = c(3.36, 3.82, 4.22),
realized = c(4.17, 4.26, 4.99),
h_ahead = NA
)
forc1_t3 <- Forecast(
origin = as.Date(c("2010-07-22", "2010-07-22", "2010-07-22")),
future = as.Date(c("2010-12-31", "2011-03-31", "2011-06-30")),
forecast = c(4.78, 4.53, 5.03),
realized = c(4.26, 4.99, 5.33),
h_ahead = NA
)
forc1_t4 <- Forecast(
origin = as.Date(c("2010-12-22", "2010-12-22", "2010-12-22")),
future = as.Date(c("2011-03-31", "2011-06-30", "2011-09-30")),
forecast = c(5.45, 4.89, 5.78),
realized = c(4.99, 5.33, 5.21),
h_ahead = NA
)
forcs <- list(forc1_t1, forc1_t2, forc1_t3, forc1_t4)
convert_byh(forcs, index = 1L, h_aheads = 1)
convert_byh(forcs, index = 1:2, h_aheads = c(1, 2))
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