Compute indifference points for data from an adjusting amount procedure (also called a "titrating procedure").
Arguments
- data
A dataframe where each row corresponds to a binary choice, with at least columns
val_imm,val_del, andimm_chosen, along with a block indicator and (if applicable) an order indicator.- block_indic
Column name of the block indicator—i.e., the column that will identify a block of trials for which an indifference point should be computed. If unspecified, defaults to
'del', which assumes that each block corresponds to a different delay.- order_indic
Column name of the order indicator—i.e., the column that specifies the order in which trials were completed. Sorting by this column within a block should sort the rows in chronological order. If unspecified, the rows are assumed to already be in chronological order.
Value
A dataframe with two columns: one for the block indicator and another for the corresponding indifference point.
Examples
# \donttest{
data("adj_amt_sim")
adj_amt_indiffs(adj_amt_sim)
#> del indiff
#> 1 7 0.984375
#> 2 30 0.859375
#> 3 90 0.046875
#> 4 180 0.453125
#> 5 360 0.015625
adj_amt_indiffs(adj_amt_sim, block_indic = 'del', order_indic = 'trial_idx')
#> del indiff
#> 1 7 0.984375
#> 2 30 0.859375
#> 3 90 0.046875
#> 4 180 0.453125
#> 5 360 0.015625
# }