chop_cs: chop_cs

In multifear: Multiverse Analyses for Conditioning Data

chop_cs

Description

Function for separating the conditioned responses into multiple pieces

Usage

chop_cs(cs, data, subj, group = NULL, prefix = "cs", na.rm = FALSE)

Arguments

cs	The column name(s) of the conditioned responses
data	A data frame containing all the relevant columns for the analyses
subj	The name of the column including the participant numbers. Unique numbers are expected
group	default to NULL
prefix	prefix to be included in the end data frame
na.rm	Whether NAs should be removed, default to FALSE

Value

A tibble with the following column names: "id" = id column; "top10per" = mean of top 10 "bottom10per" = mean of bottom 10 "minfirst = all trials minus the first one; "all" = mean of all trials; "t33per = mean of top 33 "m33per" = mean of medium 33 "b33per" = mean of bottom 33 "fhalf" = mean of first half of the trials; "lhalf" = mean of last half of the trials; "ftrial" = first trial; "ltrial" = last trial; "t20per" = mean of top 20 "b20per" = mean of bottom 20 "f2trial" = mean of first two trials; "l2trial" = mean of last two trials; "per2_X" = mean per two trials (i.e., block), with X referring to the number of block.

Examples

data(example_data)
chop_cs(cs = paste0("CSP", 1:10), data = example_data, subj = "id")

multifear documentation built on Sept. 24, 2023, 1:06 a.m.