Package index • FReD

All functions

add_common_effect_sizes(): Add common effect size columns to FReD dataset

add_replication_power(): Add power

add_sampling_variances(): Add confidence intervals

align_effect_direction(): Align effect direction

assess_replication_outcome(): Assess Replication Outcomes Based on Various Criteria

calculate_prediction_interval(): Calculate Prediction Interval for a Correlation Coefficient

clean_variables(): Clean variables Perform some specific operations (e.g., recoding some NA as "") required to get the Shiny apps to work. This may be a temporary solution, as much of it should likely be handled through validation in the data sheet, and at import time.

code_replication_outcomes(): Code replication outcomes

convert_effect_sizes(): Convert effect sizes to common metric (r)

create_citation(): Create FReD dataset citation

get_dataset_changelog(): Get the dataset changelog from OSF

get_last_modified(): Get the date of last modification

load_fred_data(): Load the FReD dataset

load_variable_descriptions(): Load variable descriptions

print(<fred_equivalence_test_result>): Print Method for Equivalence Test Result

read_fred(): Read the FReD dataset

run_annotator(): Run the Replication Annotator

run_app(): Run a shiny app within the package - potentially as an RStudio job

run_explorer(): Run the Replication Explorer

setting-parameters: Setting Parameters for the FReD Package

test_equivalence_r(): Equivalence Test for a Correlation

update_offline_data(): If you set the package to work offline (use_FReD_offline(TRUE)) or if any downloads fail, FReD will use offline data stored in the package. Use this function if you want to update the data to the current state. (NB: you can also use this if you want to work persistently with your own version of the dataset).

use_FReD_offline(): Set FReD to work offline (or back to online)