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True model for 4-emotion model

Source: R/sim-models.R
true_model_4_emo.Rd

This function generate the true model for the 4-emotion model. It can used to compare the estimated model with the true model, or to plot the true model.

Usage

true_model_4_emo(...)

# S3 method for class 'true_model_4_emo'
coef(object, ...)

# S3 method for class 'true_model_4_emo'
print(x, which = NULL, ...)

Arguments

...

Not in use.

object

A true_model_4_emo object.

x

A true_model_4_emo object.

which

Which model to print out. There are four models in total, corresponding to the four variables.

Value

A true_model_4_emo object.

NULL, but prints out the true model.

Methods (by generic)

  • coef(true_model_4_emo): This function returns the coefficients for the 4-emotion model. It is also used in other functions to generate the linearized version of the true model and to make plots. It returns a list of coefficients for the 4-emotion model, in the same format as coef.quadVAR()

  • print(true_model_4_emo): This function prints out the true model for the 4-emotion model in the same format as RAMP::RAMP(), to help users to compare the true model and the estimated model.

See also

true_model_4_emo(), compare_4_emo(), quadVAR()

Examples

coef(true_model_4_emo())
#>    model effect estimate
#> 1      1     X1     1.50
#> 2      1     X2     0.00
#> 3      1     X3     0.00
#> 4      1     X4     0.00
#> 5      1   X1X1    -0.10
#> 6      1   X1X2     0.02
#> 7      1   X1X3    -0.10
#> 8      1   X1X4    -0.10
#> 9      1   X2X2     0.00
#> 10     1   X2X3     0.00
#> 11     1   X2X4     0.00
#> 12     1   X3X3     0.00
#> 13     1   X3X4     0.00
#> 14     1   X4X4     0.00
#> 15     2     X1     0.00
#> 16     2     X2     1.50
#> 17     2     X3     0.00
#> 18     2     X4     0.00
#> 19     2   X1X1     0.00
#> 20     2   X1X2     0.02
#> 21     2   X1X3     0.00
#> 22     2   X1X4     0.00
#> 23     2   X2X2    -0.10
#> 24     2   X2X3    -0.10
#> 25     2   X2X4    -0.10
#> 26     2   X3X3     0.00
#> 27     2   X3X4     0.00
#> 28     2   X4X4     0.00
#> 29     3     X1     0.00
#> 30     3     X2     0.00
#> 31     3     X3     1.50
#> 32     3     X4     0.00
#> 33     3   X1X1     0.00
#> 34     3   X1X2     0.00
#> 35     3   X1X3    -0.10
#> 36     3   X1X4     0.00
#> 37     3   X2X2     0.00
#> 38     3   X2X3    -0.10
#> 39     3   X2X4     0.00
#> 40     3   X3X3    -0.10
#> 41     3   X3X4     0.02
#> 42     3   X4X4     0.00
#> 43     4     X1     0.00
#> 44     4     X2     0.00
#> 45     4     X3     0.00
#> 46     4     X4     1.50
#> 47     4   X1X1     0.00
#> 48     4   X1X2     0.00
#> 49     4   X1X3     0.00
#> 50     4   X1X4    -0.10
#> 51     4   X2X2     0.00
#> 52     4   X2X3     0.00
#> 53     4   X2X4    -0.10
#> 54     4   X3X3     0.00
#> 55     4   X3X4     0.02
#> 56     4   X4X4    -0.10
plot(true_model_4_emo())


if (interactive()) {
  # This code will only run in an interactive session
  plot(true_model_4_emo(), interactive = TRUE)
}