analysis_confirmatory: Primary confirmatory analysis

In marton-balazs-kovacs/tppr: Shiny app to show real-time results of the TPP project

Description

This function conducts the primary confirmatory analysis at the lastly passed checkpoint. In the analysis the mixed-effect logistic regression (see confirmatory_mixed_effect) and three Bayes factor analysis (see confirmatory_bayes_factor) are conducted. Final inference is made based on the inferences of the four conducted analyses.

Usage

analysis_confirmatory(df)

Arguments

df	dataframe, the input dataframe

Value

The output is a list containing the inputs, the results of the four analysis, and the inferences at the last checkpoint. The list contains:

• highest_checkpoint, integer, the index of the investigated checkpoint

• success, integer, the number of successful guesses

• total_n, integer, the number of erotic trials

• n_iteration, integer, the number of iteration (see confirmatory_mixed_effect)

• mixed_effect_res, df, the results of the mixed-effect logistic regression

• mixed_ci_width, numeric, width of the confidence interval

• mixed_ci_lb, numeric, lower limit of the confidence interval 5

• mixed_ci_ub, numeric, upper limit of the confidence interval 95

• mixed_nhst_inference, character, inference based on the result

• bf_res, df, the results of the three Bayes factor analysis

• bf_replication, numeric, rounded Bf of analysis with prior based on Bem 2011 experiment 1 results

• bf_uniform, numeric, rounded Bf of analysis with uniform prior

• bf_buj, numeric, rounded Bf of analysis with BUJ prior

• bf_inference, character, inference based on the three Bayes factors

• inference, character, the summarized final inference

Examples

# Running the confirmatory analysis
confirmatory_result <- analysis_confirmatory(df = example_m0)
# Checking the inferences at each checking point
confirmatory_result$inference

marton-balazs-kovacs/tppr documentation built on Oct. 27, 2021, 3:04 p.m.