seqgimsa

<p>A data frame describing mothers employment histories from age 14 to 60 and daughters employment histories from the completion of education to 15 years later. Sequences are sampled (N = 400) from "Biographies et entourage" survey (INED, 2001).</p>

datasets

It provides miscellaneous sequence analysis functions for describing episodes in individual sequences, measuring association between domains in multidimensional sequence analysis (see Piccarreta (2017) <doi:10.1177/0049124115591013>), heat maps of sequence data, Globally Interdependent Multidimensional Sequence Analysis (see Robette et al (2015) <doi:10.1177/0081175015570976>), smoothing sequences for index plots (see Piccarreta (2012) <doi:10.1177/0049124112452394>), coding sequences for Qualitative Harmonic Analysis (see Deville (1982)), measuring stress from multidimensional scaling factors (see Piccarreta and Lior (2010) <doi:10.1111/j.1467-985X.2009.00606.x>), symmetrical (or canonical) Partial Least Squares (see Bry (1996)).

Nicolas Robette

seqhandbook

Miscellaneous Tools for Sequence Analysis

seqgimsa function

<p>A data frame with 400 observations and 62 numeric variables. The first 15 variables (prefixed 'f') describe the daughters employment status a given year : 1 = education, 2 = inactivity, 3 = part-time job, 4 = full-time job. The following 47 variables (prefixed 'm') describe the mothers employment status at a given age : 1 = self-employment, 3 = higher level or intermediate occupation, 5 = lower level occupation, 8 = inactivity, 9 = education.</p>

seqgimsa: Sample of mothers and daughters employment histories

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