Package: Xplortext 1.5.3

Ramón Alvarez-Esteban

Xplortext: Statistical Analysis of Textual Data

Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://xplortext.unileon.es> for examples.

Authors:Mónica Bécue-Bertaut, Ramón Alvarez-Esteban, Josep-Anton Sánchez-Espigares, Belchin Kostov

Xplortext_1.5.3.tar.gz
Xplortext_1.5.3.tar.gz(r-4.5-noble)Xplortext_1.5.3.tar.gz(r-4.4-noble)
Xplortext_1.5.3.tgz(r-4.4-emscripten)Xplortext_1.5.3.tgz(r-4.3-emscripten)
Xplortext.pdf |Xplortext.html✨
Xplortext/json (API)

# Install 'Xplortext' in R:

install.packages('Xplortext', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

open.question - Open.question

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8 exports 2 stars 0.23 score 121 dependencies 20 scripts 269 downloads

Last updated 10 months agofrom:3a6bd0cc6d. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 04 2024
R-4.5-linux	OK	Sep 04 2024

Exports:ellipseLexCA LabelTree LexCA LexChar LexCHCca LexGalt LexHCca TextData

Dependencies:abind askpass backports base64enc BH boot broom bslib cachem car carData class cli cluster colorspace cowplot cpp11 crosstalk curl data.table Deriv digest doBy dplyr DT ellipse emmeans estimability evaluate FactoMineR fansi farver fastmap flashClust flexclust fontawesome fs generics ggdendro ggforce ggplot2 ggrepel glue gridExtra gtable highr htmltools htmlwidgets httpuv httr isoband jquerylib jsonlite knitr labeling later lattice lazyeval leaps lifecycle lme4 magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr modeltools multcompView munsell mvtnorm nlme nloptr NLP nnet numDeriv openssl pbkrtest permute pillar pkgconfig plotly polyclip promises purrr quantreg R6 rappdirs RColorBrewer Rcpp RcppEigen rlang rmarkdown sass scales scatterplot3d slam SparseM stringi stringr survival sys systemfonts tibble tidyr tidyselect tinytex tm tweenr utf8 vctrs vegan viridisLite withr xfun xml2 yaml

Help page	Topics
Textual Analysis	Xplortext-package
Confidence ellipses on textual correspondence analysis graphs	ellipseLexCA
Hierarchical words (LabelTree)	LabelTree
Correspondence Analysis of a Lexical Table from a TextData object (LexCA)	LexCA
Characteristic words and documents (LexChar)	LexChar
Chronological Constrained Hierarchical Clustering on Correspondence Analysis Components (LexCHCca)	LexCHCca
Correspondence Analysis on a Simple or Multiple Generalized Aggregate Lexical Table (LexGalt)	LexGalt
Hierarchical Clustering on Textual Correspondence Analysis Coordinates (LexHCca)	LexHCca
Open.question (data)	open.question
Plot of LexCA objects	plot.LexCA
Plot LexChar objects	plot.LexChar
Plots for Chronological Constrained Hierarchical Clustering from LexCHCca Objects	plot.LexCHCca
Plot LexGalt objects	plot.LexGalt
Plots for Hierarchical Clustering from LexHCca Objects	plot.LexHCca
Plot TextData objects	plot.TextData
Print LexCA objects	print.LexCA
Print LexChar objects	print.LexChar
Print TextData objects	print.TextData
Summary LexCA object	summary.LexCA
Summary LexChar object	summary.LexChar
Summary of TextData objects	summary.TextData
Building textual and contextual tables (TextData)	TextData

Package: Xplortext 1.5.3

Xplortext: Statistical Analysis of Textual Data

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)