predict_data: Data approximation

In skolchin/statp: Statistical data analysis support functions

Description

This function builds an approximation model on data containing some observation interval and then use this model to appoximate another observation interval.

Usage

predict_data(
  .data,
  .interval,
  method = "lm",
  ...,
  merge = TRUE,
  mark = FALSE,
  vars = NULL
)

Arguments

.data	Source data (data.frame). Must contain interval and observation variables (for example, year and value)
.interval	Target interval variable (vector)
method	Approximation function ('lm', 'loess', 'glm', 'gam')
...	Parameters for approximation function
merge	If TRUE, results are merged with source data
mark	If TRUE, a 'forecast' variable will be added to result
vars	Names of interval and observation variable (1st and 2nd numeric columns by default)

Value

Approximation results (data.frame)

Examples

## Not run: 
predict_data(.data = data.frame(
               y = c(2010, 2013, 2014),
               total = c(30800000.00, 32285714.00, 41500000.00)),
             .interval = seq(from = 2015, to = 2020, by = 1),
             method = "gam")

## End(Not run)

skolchin/statp documentation built on April 21, 2020, 2:08 a.m.