effectsdfhelp: Create a dataframe based on an 'observed' variable design and...

In chaddlewick/spr: Simulation-based Parameter Recovery

Usage

effectsdf(variablespecification, effectspecifications)

Arguments

variablespecification	A list of 'observed' variables to create a design specification. Must include 'participant' as one variable.
effectspecifications	A list of effects. Effect names must be variable names from variablespecification prefixed with 'b'. Must specify level at which to apply as second argument.

Examples

Please note these parameter values are provided for illustrative purposes only

observedvariables = as.list(c(participant = "rep(1:20, each = 40)",
                              qriscore = "rnorm(participant, 10, 2)",
                              hlvascore = "rnorm(participant, 8, 0.5)",
                              texts = "rep(1:10, times = 20, each = 4)",
                              question = "rep(1:800)"))

effectvariables = as.list(c(intercept = "0.15",
                            bparticipant = "rnorm(participant, mean=0, sd=0.04)",
                            bqriscore = "rnorm(participant, 0.025, 0.001)",
                            bhlvascore = "rnorm(participant, 0.02, 0.001)",
                            btexts = "rnorm(texts, 0, 0.02)",
                            bquestion = "rnorm(question, 0, 0.015)"))

effectsdf(observedvariables, effectvariables)

chaddlewick/spr documentation built on May 14, 2019, 3:06 a.m.