Cocaine data.

cocaine_dependence

Format

Data frame with columns

subject

Subject ID

diagnosis

Diagnosis status

age

Age of Subject

male

Gender of subject

edu_yrs

Education of subject in years

imt_comm_errors

Immediate Memory Task commission errors

imt_omis_errors

Immediate Memory Task omission errors

a_imt

Immediate Memory Task non-parametric discriminability

b_d_imt

Immediate Memory Task response bias

stop_ssrt

Stop-Signal Task stop-signal reaction time

lnk_adjdd

log(Adjusting Delay-Discounting Task discounting rate)

lkhat_kirby

log(Kirby Monetary-Choice Delay-Discounting Questionnaire)

revlr_per_errors

Probabilistic Reversal-Learning Task errors

bis_attention

Barratt Impulsiveness Scale attentional impulsivity

bis_motor

Barratt Impulsiveness Scale motor impulsivity

bis_nonpL

Barratt Impulsiveness Scale nonplanning impulsivity

igt_total

Iowa Gambling Task total score

Source

https://github.com/CCS-Lab/easyml/blob/master/Python/datasets/cocaine_dependence.csv

See also

Other data: prostate

Examples

data("cocaine_dependence", package = "easyml")