Add Dummy Variables for Piecewise Linear Models — add_dummy

Adds dummy variables to an scdf for calculating piecewise linear models.

Usage

add_dummy_variables(
  scdf,
  model = c("W", "H-M", "B&L-B"),
  contrast_level = c("first", "preceding"),
  contrast_slope = c("first", "preceding")
)

Arguments

scdf: A single-case data frame. See scdf() to learn about this format.
model: Model used for calculating the dummy parameters (see Huitema & McKean, 2000). Default is model = "W". Possible values are: "B&L-B", "H-M", "W", and deprecated "JW".
contrast_level: Either "first", "preceding" or a contrast matrix. If NA contrast_level is a copy of contrast.
contrast_slope: Either "first", "preceding" or a contrast matrix. If NA contrast_level is a copy of contrast.

Examples

add_dummy_variables(
 scdf = exampleABC, 
 model = "W", 
 contrast_level = "first", 
 contrast_slope = "first"
)
#> #A single-case data frame with three cases
#> 
#>  Marie: values mt phase phaseB phaseC interB interC
#>             58  0     A      0      0      0      0
#>             56  1     A      0      0      0      0
#>             60  2     A      0      0      0      0
#>             63  3     A      0      0      0      0
#>             51  4     A      0      0      0      0
#>             45  5     A      0      0      0      0
#>             44  6     A      0      0      0      0
#>             59  7     A      0      0      0      0
#>             45  8     A      0      0      0      0
#>             39  9     A      0      0      0      0
#>             83 10     B      1      0      0      0
#>             65 11     B      1      0      1      0
#>             70 12     B      1      0      2      0
#>             83 13     B      1      0      3      0
#>             70 14     B      1      0      4      0
#> # ... up to 15 more rows
#> #  two more cases