check_model.fit_model_hedonic: Check if the hedonic model went well

In priviere/PPBstats: An R package to perform analysis found within PPB programmes

Description

check_model.fit_model_spatial computes tests to assess if the model went well. It is important to run this step before going ahead with the analysis otherwise you may make mistakes in the interpretation of the results.

Usage

## S3 method for class 'fit_model_hedonic'
check_model(x)

Arguments

x	outputs from model_hedonic

Details

S3 method. The different test apply to the model are explained in the book here.

Value

It returns a list with the following elements:

• model_hedonic the output from the model

• data_ggplot a list containing information for ggplot:

  • data_ggplot_residuals a list containing :

    • data_ggplot_normality

    • data_ggplot_skewness_test

    • data_ggplot_kurtosis_test

    • data_ggplot_shapiro_test

    • data_ggplot_qqplot

  • data_ggplot_variability_repartition_pie

  • data_ggplot_var_intra

Author(s)

Pierre Riviere

See Also

• check_model

• plot.check_model_hedonic

• mean_comparisons

• mean_comparisons.check_model_hedonic

• biplot_data

• biplot_data.check_model_hedonic

priviere/PPBstats documentation built on May 6, 2021, 1:20 a.m.