get_bs: Mean bias score
In jashu/itrak: Tools for processing eye-tracking data

Description Usage Arguments Details Value See Also Examples

get_bs returns the mean difference between congruent and incongruent trials.

1	get_bs(RT, congruent, prior_weights = NULL)

`RT`	A numeric vector of reaction times in chronological order.
`congruent`	A logical vector equal in length to `RT` that indicates whether the corresponding entry of `RT` is a congruent (`TRUE`) or incongruent (`FALSE`) trial, i.e., whether the probe location matches the location of the stimulus expected to elicit attention bias.
`prior_weights`	Optional numeric vector of prior weights indicating the relative influence that each trial should have on the calculation of mean bias, in the event that there is reason to weight some trials more than others when calculating their mean.

Attention bias tasks such as the dot probe consist of congruent trials (CTs), in which the location of the probe matches the location of an emotional stimulus, and incongruent trials (ITs), in which the location of the probe matches the location of the neutral stimulus. get_bs calculates a traditional bias score by taking the mean reaction time of all CTs and subtracting it from the mean reaction time of all ITs, i.e., bias = IT - CT, with the option to use weighted means based on prior trial weights.

A length-one numeric vector corresponding to the mean, or optionally weighted mean, bias score.

get_tlbs for trial-level bias score

# Create example time series of 10 reaction times in ms:
rt <- sample(100:1000, 10)

# Create example trial types of congruent vs. incongruent for above measures:
congruent <- sample(c(TRUE,FALSE), 10, replace = TRUE)

get_bs(rt, congruent)