hmmr (version 1.0-0)

dccs: Dimensional Change Card Sort Task Data

Description

Data from 3-5 year old children performing on the dimensional change card sort task published in Van Bers et al (2011).

Usage

data(dccs)
data(dccslong)

Format

A data.frame consisting of the following variable:

pp

participant number

ageM

(numeric) age in months

ageY

(numeric) age in years

ageGr

(numeric) age group

sex

(numeric) age group

nTrPre

(numeric) number of trials completed pre-switch

nTrPre

(numeric) number of trials correct in pre-switch trials

t1Post

(numeric) indicator variable for post switch trial indicating correct (1) or incorrect (0)

t2Post

(numeric) indicator variable for post switch trial indicating correct (1) or incorrect (0)

t3Post

(numeric) indicator variable for post switch trial indicating correct (1) or incorrect (0)

t4Post

(numeric) indicator variable for post switch trial indicating correct (1) or incorrect (0)

t5Post

(numeric) indicator variable for post switch trial indicating correct (1) or incorrect (0)

t6Post

(numeric) indicator variable for post switch trial indicating correct (1) or incorrect (0)

nCorPost

(numeric) number of trials correct post-switch

passPost

(numeric) indicator variable whether post-switch test was passed

Examples

# NOT RUN {
# the original data was in wide format; for analysis with hidden Markov models, 
# data in long format is more convenient; the following code was used to reshape 
# the data from wide to long format (and make a selection of the columns)

data(dccs)
dccslong <- reshape(
	dccs[,c("pp","ageM","sex","t1Post","t2Post","t3Post","t4Post","t5Post","t6Post")],
	direction="long",
	varying=list(4:9) )
dccslong <- dccslong[order(dccslong$pp),-6]
names(dccslong) <- c("pp","ageM","sex","trial","acc")

# }