plot_forecast: plot_forecast

In saralsmith/SHIFT: SHiny Improved Forecasting Tool

Description

A function that takes a data frame and returns the plot of the selected forecast for the selected column of data.

Usage

plot_forecast(
  df,
  dep_var,
  ind_var = NULL,
  start,
  end,
  forecast_type,
  proj_data = NULL,
  diff_inv = FALSE,
  diff_starting_values = NULL
)

Arguments

df	data frame of data
dep_var	string - name of dependent variable to forecast
ind_var	string - vector of names of indepedent variables to use in forecast
start	vector - start year and quarter in format c(YYYY, Q)
end	vector - end year and quarter in format c(YYYY, Q)
proj_data	data frame (default NULL) of projected data to use if producing a linear regression forecast.
diff_inv	boolean (default FALSE) - if data is differenced and you want to undo this to compare to the original dataset set to TRUE
diff_starting_values	numeric (default NULL) - if data is differenced, where to start adding differences.
forecast_types	- vector of string values giving forecast types to use. One of: "holtwinters", "naive", "decomposition", "linear".

Value

plotly line graph of forecast

saralsmith/SHIFT documentation built on Feb. 7, 2021, 5:48 p.m.