seqhandbook v0.1.0
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Miscellaneous Tools for Sequence Analysis
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)).
Readme
seqhandbook
an R package to complement the handbook on sequence analysis
It provides the datasets used in the examples in the handbook,
as well as functions for :
- describing episodes in individual sequences (at least one episode, number of episodes, position of the start of the first episode)
- measuring association between domains in multidimensional sequence analysis
- heat maps of sequence data
- Globally Interdependent Multidimensional Sequence Analysis (GIMSA)
- smoothing sequences for index plots
- coding sequences for Qualitative Harmonic Analysis
- measuring stress from MDS factors
- symmetrical PLS
installation
Execute the following code within R:
if (!require(devtools)){
install.packages('devtools')
library(devtools)
}
install_github("nicolas-robette/seqhandbook")
References
Functions in seqhandbook
| Name | Description | |
| assoc.domains | Association measures between domains in multidimensional sequence analysis | |
| seq_heatmap | Index plot of sequences ordered according to a dendrogram | |
| seqmsa | Sample of marital, parental and residential sequences | |
| seqgimsa | Sample of mothers and daughters employment histories | |
| seqi1epi | At least one episode in the states | |
| seqmds.stress | Stress measure of multidimensional scaling factors | |
| seqsmooth | Smoothing sequence data | |
| trajact | Sample of employment histories | |
| seqinepi | Number of episodes in each state | |
| seqifpos | First position in each state | |
| seq2qha | Recoding sequences for qualitative harmonic analysis | |
| socdem | Sample of sociodemographic variables | |
| symPLS | Symmetric (or canonical) PLS | |
| No Results! | ||
Vignettes of seqhandbook
| Name | ||
| Tutoriel.Rmd | ||
| No Results! | ||
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Details
| Type | Package |
| VignetteBuilder | knitr |
| License | GPL (>= 2) |
| Encoding | UTF-8 |
| LazyData | true |
| NeedsCompilation | no |
| Packaged | 2020-06-29 14:38:33 UTC; nrobette |
| Repository | CRAN |
| Date/Publication | 2020-06-29 15:30:06 UTC |
| suggests | ade4 , cluster , dplyr , FactoMineR , GDAtools , ggplot2 , knitr , purrr , questionr , RColorBrewer , rmarkdown , rmdformats , TraMineRextras , WeightedCluster |
| depends | R (>= 3.5.0) , TraMineR |
| Contributors | Nicolas Robette |
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