Sequence Index Plot

The second plot takes care of this, by fixing the y-axis. The group size differences are fully revealed, but there is also a lot of white space. The third approach is more parsimonious in the sense that there is less empty space in the plot. By using ggh4xforce_panelsizes the height of the index plots is adjusted to their relative group size.

Sequence index plots have been introduced by 92insertCitescherer2001textualggseqplot and display each sequence as horizontally stacked bar or line. For a more detailed discussion of this type of sequence visualization see, for example, 92insertCitebrzinsky-fay2014textualggseqplot, 92insertCitefasang2014textualggseqplot, and 92insertCiteraab2022

These plots draw a horizontal line for each sequence, which changes its colors according to the elements. Out of the box, sequence index plots have several shortcomings, which should be dealt with when fine-tuning the graph o In general, colored versions of sequence index plots are more sensible than black-and-white versions.

The following section briefly illustrates the package by rendering sequence distribution and index plots. State distribution plot. In the following example we are rendering state distribution plots of the sequence object partner.child.year.seq. We start by comparing seqdplot and ggseqdplot in their most basic specification

The most basic version is the sequence index plot, which displays all sequences in the dataset. However, this approach becomes impractical with large datasets due to overplottingindividual sequences may overlap, making the visualization misleading. To address this, alternative representations that display only a subset of sequences have been

Function for rendering sequence index plot of the most frequent sequences of a state sequence object using ggplot2 Wickham 2016 instead of base R's plot function that is used by TraMineRseqplot TraMineRplot.stslist.freq Gabadinho et al. 2011 .

Sequence Index Plot Description. Function for rendering sequence index plots with ggplot2 Wickham 2016 instead of base R's plot function that is used by TraMineRseqplot Gabadinho et al. 2011. Usage Sequence index plots have been introduced by Scherer 2001 and display each sequence as horizontally stacked bar or line.

The representative sequence plot displays a set of distinct sequences as sequence index plot. The set of representative sequences is extracted from the sequence data by an internal call of TraMineRseqrep according to the criteria listed in the arguments section above.

Function for rendering sequence index plots with ggplot2 wickham2016ggseqplot instead of base R's plot function that is used by TraMineRseqplot gt gabadinho2011ggseqplot.ltpgt

Sequence index plots of longitudinal or panel data use stacked bars or line segments to show how individuals move between a set of conditions or states over time. Changes of state are shown by changes of color. The term sequence index plot was proposed by Bruderl and Scherer 2005, in press. See Scherer 2001 for an application.