Same as sgdata
but with bad vaiable names to illustrate that the package can also work with inconsistent names.
data(sgdata_bad)
A longitudinal dataset in wide format, i.e one row per person, one column per variable.
id: ID variable, unique identifier for each person
bdi_intake: BDI value, baseline assessment
bdi1: BDI value, session 1
wk2bdi: BDI value, session 2
bdi.S3: BDI value, session 3
bdis4: BDI value, session 4
bdi_session5: BDI value, session 5
bdi_weekSix: BDI value, session 6
beck.dep.inv_sess7: BDI value, session 7
weeeek8bdi: BDI value, session 8
bdi_nine: BDI value, session 9
bdii10: BDI value, session 10
bDi11: BDI value, session 11
bdi_s12_end: BDI value, session 12
bdi_fu1: BDI value, follow-up measure 1
bdi_followup2: BDI value, follow-up measure 2
rq_intake: RQ value, baseline assessment
rqi1: RQ value, session 1
wk2rq: RQ value, session 2
rq.S3: RQ value, session 3
rq_s4: RQ value, session 4
rq_session5: RQ value, session 5
rq_weekSix: RQ value, session 6
rq_sess7: RQ value, session 7
weeeek8rq: RQ value, session 8
rqnine: RQ value, session 9
rq10: RQ value, session 10
rqi11: RQ value, session 11
rq_s12_end: RQ value, session 12
prq_fu1: RQ value, follow-up measure 1
rqq_followup2: RQ value, follow-up measure 2
# Load data into global environment
data(sgdata_bad)
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