FacDesign: FacDesign
In DavidBarke/QWUtils: Useful Methods For Programming with Shiny

R6Class representing a factorial design.

1	fac_design <- FacDesign$new(name, k)

new(name, factor_node, rep = 1, center = 0, response_name = "response", index_name = "index", response = NULL

Initialize the factorial design.

`name`	`Character`. The factorial design's name
`factor_node`
An object of class `ExplorerNode` with children of explorer_class "fac_design_factor" storing objects of class `FacDesignFactor`.
`rep`	`Numeric` value giving the number of replicates per factor combination.
`center`	Currently defunct. `Integer`. Number of center points.
`response_name`	`Character`. Name of the response variable.
`index_name`	`Character`. Name of the index variable.
`response`	`Numeric` vector containing the values of the response variable for the standardised factorial design. If `response = NULL`, you have to add a response later via `this$add_response()`.

add_response(response)

Add or update the response of the factorial design.

response Numeric vector containing the values of the response variable for the standardised factorial design.

get_name()

Get the factorial design's name.

get_names()

Get a list with the following entries:

fac	The variable factors' names.
index	The index' name.
name	The factorial design's name.
response	The factorial design response's name.

The arguments decide wheter a name is part of the list or not.

get_table(randomized = TRUE, index = TRUE, factors = TRUE, response = TRUE, center = FALSE)

Get a tibble representing the factorial design.

`randomized`	If `TRUE`, the rows are ordered in run order and not in standardised order.
`index`	If `TRUE`, the index column is included in the output.
`factors`	If `TRUE`, the factor columns are included in the output.
`response`	If `TRUE`, the response column is included in the output.
`center`	If `TRUE`, the rows containing observations for the center points are included in the output.

has_response()

Returns a logical indicating whether the factorial design has a response or not.

nrow()

Get the number of rows of the factorial design.

rename_fac_names(new_names, old_names = NULL)

Set the factors' names. If old_names = NULL the length of new_names must be equal to the number of factors, otherwise the length of new_names and old_names has to be equal.