Function for separating the conditioned responses into multiple pieces for two CSs.
chop_css(cs1, cs2, data, subj, cs_paired = NULL, group = NULL, na.rm = FALSE)The column name(s) of the conditioned responses for the first conditioned stimulus
The column name(s) of the conditioned responses for the second conditioned stimulus
A data frame containing all the relevant columns for the analyses
The name of the column including the participant numbers. Unique numbers are expected
A character vector with the trials that were paired. Default is set to NULL, suggesting that there was full reinforcement
@return A tibble with the following column names -- separately forr cs1 and cs2:
"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.
the name of the group, if included, default to NULL
Whether NAs should be removed, default to FALSE