Cuing data from a probabilistic cuing experiment

Trial-level indirect-task data from Experiment 2 of Vadillo et al. (2025). The object reproduces the source CSV file without filtering or recoding and can be used as the indirect input to usdt_data_tasks().

Usage

vadillo_cuing

Format

A data frame with 39,936 rows, 104 participants, and 13 variables:

experiment

Experiment label.

subj

Participant identifier.

file

Original participant file name.

trial

Trial number.

block

Block number.

epoch

Epoch number.

pattId

Pattern identifier.

acc

Response accuracy (1 = correct, 0 = incorrect).

rt

Response time in milliseconds.

condition

Whether the pattern was old or new.

offset

Spatial-offset condition.

color

Colour condition.

set.size

Set-size condition.

Source

Vadillo, M. A., Malejka, S., & Shanks, D. R. (2025). Mapping the reliability multiverse of contextual cuing. Journal of Experimental Psychology: Learning, Memory, and Cognition. doi:10.1037/xlm0001410 . Data retrieved from https://osf.io/jp3gx/.

Examples

data(vadillo_cuing)
str(vadillo_cuing)
#> 'data.frame':	39936 obs. of  13 variables:
#>  $ experiment: chr  "Experiment 2" "Experiment 2" "Experiment 2" "Experiment 2" ...
#>  $ subj      : int  2001 2001 2001 2001 2001 2001 2001 2001 2001 2001 ...
#>  $ file      : chr  "y109b_subj1051.mat" "y109b_subj1051.mat" "y109b_subj1051.mat" "y109b_subj1051.mat" ...
#>  $ trial     : int  1 2 3 4 5 6 7 8 9 10 ...
#>  $ block     : int  1 1 1 1 1 1 1 1 1 1 ...
#>  $ epoch     : int  1 1 1 1 1 1 1 1 1 1 ...
#>  $ pattId    : int  2001 1008 1007 2006 1001 1006 2003 1003 1005 2002 ...
#>  $ acc       : int  1 1 1 1 1 1 1 1 1 1 ...
#>  $ rt        : num  1305 4028 2484 1771 926 ...
#>  $ condition : chr  "new" "old" "old" "new" ...
#>  $ offset    : chr  "no offset" "offset" "offset" "offset" ...
#>  $ color     : chr  "color" "b/w" "color" "b/w" ...
#>  $ set.size  : chr  "set size 8" "set size 16" "set size 16" "set size 8" ...