LC {lakhesis} | R Documentation |
Lakhesis Calculator
Description
Launch Lakhesis Calculator, a graphical interface to explore binary matrices via correspondence analysis, select potentially well-seriated sequences, and perform consensus seriation. Interface is made with ggplot2
, shiny
, shinydashboard
, and bslib
(Wickham 2016; Chang et al. 2024; Chang and Borges Ribeiro 2021; Sievert et al. 2024).
Usage
LC()
Details
Input is done in the calculator, via a "long" format a two-column .csv
file giving pairs of row and column incidences. See im.csv.read
for details. Conversion of a pre-existing incidence matrix to long format can be performed with im.long
.
Results can be downloaded from the calculator as an .rds
file containing a list
of the following:
-
results
The consensus seriation, PCA, and coefficients of agreement and concentration (lakhesize
). -
strands
The strands selected by the investigator. -
im.seriated
The incidence matrix of the consensus seriation.
Value
Opens the Lakhesis Calculator.
References
Chang W, Borges Ribeiro B (2021).
shinydashboard: Create Dashboards with 'Shiny'.
https://CRAN.R-project.org/package=shinydashboard.
Chang W, Cheng J, Allaire JJ, Sievert C, Schloerke B, Xie Y, Allen J, McPherson J, Dipert A, Borges B (2024).
shiny: Web Application Framework for R.
R package version 1.8.1.9001; https://github.com/rstudio/shiny, https://shiny.posit.co.
Sievert C, Cheng J, Aden-Buie G (2024).
bslib: Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’.
R package version 0.7.0, https://github.com/rstudio/bslib, https://rstudio.github.io/bslib/.
Wickham H (2016).
ggplot2: Elegant Graphics for Data Analysis.
Springer, New York.