forecastML (version 0.5.0)

plot.lagged_df: Plot datasets with lagged features

Description

Plot datasets with lagged features to view ther direct forecasting setup across horizons.

Usage

# S3 method for lagged_df
plot(x, ...)

Arguments

x

An object of class 'lagged_df' from create_lagged_df().

...

Not used.

Value

A single plot of class 'ggplot' if lookback was specified in create_lagged_df(); a list of plots, one per feature, of class 'ggplot' if lookback_control was specified.

Examples

# NOT RUN {
# Sampled Seatbelts data from the R package datasets.
data("data_seatbelts", package = "forecastML")
#------------------------------------------------------------------------------
# Example 1 - Training data for 3 horizon-specific models w/ common lags per predictor.
horizons <- c(1, 6, 12)
lookback <- 1:15

data_train <- create_lagged_df(data_seatbelts, type = "train", outcome_col = 1,
                               lookback = lookback, horizon = horizons)
plot(data_train)
#------------------------------------------------------------------------------
# Example 2 - Training data for one 3-month horizon model w/ unique lags per predictor.
horizons <- 3
lookback <- list(c(3, 6, 9, 12), c(4:12), c(6:15), c(8))

data_train <- create_lagged_df(data_seatbelts, type = "train", outcome_col = 1,
                               lookback_control = lookback, horizon = horizons)
plot(data_train)
# }

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