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Same as sgdata but with bad variable names to illustrate that the package can also work with inconsistent names.

Usage

data(sgdata_bad)

Format

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

Examples

# Load data into global environment
data(sgdata_bad)