response_curves: response_curves

In linea: Linear Regression Interface

response_curves

Description

Line chart of variable response curves

Usage

response_curves(
  model,
  x_min = NULL,
  x_max = NULL,
  y_min = NULL,
  y_max = NULL,
  interval = NULL,
  trans_only = FALSE,
  colors = color_palette(),
  plotly = TRUE,
  verbose = FALSE,
  table = FALSE,
  add_intercept = FALSE,
  points = FALSE
)

Arguments

model	Model object
x_min	number specifying horizontal axis min
x_max	number specifying horizontal axis max
y_min	number specifying vertical axis min
y_max	number specifying vertical axis max
interval	number specifying interval between points of the curve
trans_only	a boolean specifying whether to display non-linear only y = b*dim_rest(x)
colors	character vector of colors in hexadecimal notation
plotly	A boolean to specify whether to include use ggplot over plotly
verbose	A boolean to specify whether to print warnings
table	A boolean to specify whether to return a data.frame of the response curves
add_intercept	A boolean to specify whether to include the intercept whne calculating the curves
points	A boolean to specify whether to include the points from the data on the curve

Details

Line chart of variable response curves visualising the relationship of each independent variable with the dependent variable

Value

a plotly line chart of the model's response curves

Examples

model = run_model(data = mtcars,dv = 'mpg',ivs = c('disp'))
model %>%
   response_curves()
model = run_model(data = mtcars,dv = 'mpg',ivs = c('wt','cyl','disp')) 

model %>%
   response_curves()
   
run_model(data = scale(mtcars) %>% 
              data.frame(),
          dv = 'mpg',
          ivs = c('wt','cyl','disp')) %>%
   response_curves()

linea documentation built on Sept. 15, 2022, 9:06 a.m.