Package index • rtprep

About rtprep

rtprep rtprep-package: rtprep: Screening, Trimming, and Aggregating Response Time Data
rtprep-glossary glossary: Terms used in rtprep

One engine, one return shape, whichever rule is applied.

rt_screen(): Screen response times with any rule
rt_keep(): Keep vector from a screening rule
screen_fits(): Per-group fit diagnostics from a screening rule
rule_cutoff() rule_sd() rule_mad() rule_iqr() rule_recursive() rule_ewma() rule_mixture() rule_none() rule_oracle() print(<rtprep_rule>): Screening rules
format(<rtprep_screen>) print(<rtprep_screen>) as.data.frame(<rtprep_screen>) `[`(<rtprep_screen>): Methods for a screening result

No single conventional rule reaches both the slow tail and the leading edge; these put two together.

The Methods paragraph a screen owes a reader, written from the screen rather than from memory.

report_screening(): Report a screening procedure in prose
format(<rtprep_report>) print(<rtprep_report>) as.character(<rtprep_report>) toBibtex(<rtprep_report>): Methods for a screening report

From surviving trials to EZ-diffusion inputs and parameters.

rt_summary(): Aggregate response times into EZ-diffusion summary statistics
adjust_accuracy(): Correct accuracy counts for contamination
ez_ddm(): Invert summary statistics into diffusion parameters

What a different choice would have removed, and whether the removed trials were what you thought.

screen_compare() print(<rtprep_comparison>) summary(<rtprep_comparison>) print(<rtprep_comparison_summary>) plot(<rtprep_comparison>): Compare what several screening rules would remove
check_guessing(): Test whether the fast trials a rule removed were really guesses

Generate data whose contaminants are labelled, and remove exactly those, so a screen can be scored and read against perfect exclusion.

r_contaminated(): Generate response time data with contaminants of known type
rule_cutoff() rule_sd() rule_mad() rule_iqr() rule_recursive() rule_ewma() rule_mixture() rule_none() rule_oracle() print(<rtprep_rule>): Screening rules

Adding a screening rule of your own, from a function or from a method.

rt_example: Simulated response times from four participants, with ground truth