Package: exploreit 1.0.3

Philippe Grosjean

exploreit: Exploratory Data Analysis for 'SciViews::R'

Multivariate analysis and data exploration for the 'SciViews::R' dialect.

Authors:Philippe Grosjean [aut, cre]

exploreit_1.0.3.tar.gz
exploreit_1.0.3.zip(r-4.5)exploreit_1.0.3.zip(r-4.4)exploreit_1.0.3.zip(r-4.3)
exploreit_1.0.3.tgz(r-4.5-any)exploreit_1.0.3.tgz(r-4.4-any)exploreit_1.0.3.tgz(r-4.3-any)
exploreit_1.0.3.tar.gz(r-4.5-noble)exploreit_1.0.3.tar.gz(r-4.4-noble)
exploreit_1.0.3.tgz(r-4.4-emscripten)exploreit_1.0.3.tgz(r-4.3-emscripten)
exploreit.pdf |exploreit.html✨
exploreit/json (API)
NEWS

# Install 'exploreit' in R:

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

Bug tracker:https://github.com/sciviews/exploreit/issues

Pkgdown site:https://www.sciviews.org

On CRAN:

multivariate-analysis sciviews statistical-methods

2.70 score 4 scripts 17 exports 206 dependencies

Last updated 11 months agofrom:5229262ebb. Checks:6 OK, 3 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 27 2025
R-4.5-win	NOTE	Mar 27 2025
R-4.5-mac	NOTE	Mar 27 2025
R-4.5-linux	NOTE	Mar 27 2025
R-4.4-win	OK	Mar 27 2025
R-4.4-mac	OK	Mar 27 2025
R-4.4-linux	OK	Mar 27 2025
R-4.3-win	OK	Mar 27 2025
R-4.3-mac	OK	Mar 27 2025

Exports:as_dissimilarity as.dissimilarity as.prcomp augment ca circle cluster dissimilarity geom_dendroline glance k_means mds mfa pca profile_k shepard tidy

Dependencies:abind anytime ape askpass backports base64enc BH bit bit64 boot brew broom broom.mixed bslib ca cachem callr car carData chart checkmate cli clipr cluster coda codetools collapse colorspace commonmark corrplot cowplot cpp11 crayon crosstalk curl data.io data.table deldir dendextend Deriv desc digest doBy dplyr DT ellipse ellipsis emmeans equatiomatic estimability evaluate factoextra FactoMineR fansi farver fastcluster fastmap flashClust flextable fontawesome fontBitstreamVera fontLiberation fontquiver forcats foreign Formula fs furrr future gdtools generics ggdendro ggfortify ggplot2 ggplotify ggpubr ggrepel ggsci ggsignif globals glue gridExtra gridGraphics gtable highr Hmisc hms htmlTable htmltools htmlwidgets httpuv httr2 igraph interp isoband jpeg jquerylib jsonlite knitr labeling later lattice latticeExtra lazyeval leaps lifecycle listenv lme4 lobstr lubridate magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr multcompView munsell mvtnorm nlme nloptr nnet numDeriv officer openssl parallelly pbkrtest permute pillar pkgbuild pkgconfig pkgload plyr png polynom prettyunits processx progress promises proto pryr ps purrr quantreg R6 ragg rappdirs rbibutils RColorBrewer Rcpp RcppEigen Rdpack readr reformulas reshape2 rlang rmarkdown roxygen2 rpart rprojroot rstatix rstudioapi sass scales scatterplot3d SciViews shiny sourcetools SparseM stringi stringr survival svBase svFlow svMisc sys systemfonts tabularise textshaping tibble tidyr tidyselect timechange tinytable tinytex tsibble tzdb utf8 uuid vctrs vegan viridis viridisLite vroom withr xfun xml2 xtable yaml yulab.utils zeallot zip

Exploratory Data Analysis for 'SciViews::R'

Philippe Grosjean

Rendered fromexploreit.Rmdusingknitr::rmarkdownon Mar 27 2025.

Last update: 2024-05-01
Started: 2021-08-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Exploratory Data Analysis for 'SciViews::R'	exploreit-package
Convert a dist or matrix object into a Dissimilarity object	as.dissimilarity as.dissimilarity.Dissimilarity as.dissimilarity.dist as.dissimilarity.matrix as_dissimilarity
Correspondence Analysis (CA)	autoplot.ca ca chart.ca
Draw circles in a plot	circle
Hierarchical Clustering Analysis	augment.Cluster autoplot.Cluster chart.Cluster cluster cluster.default cluster.dist labels.Cluster nobs.Cluster plot.Cluster predict.Cluster str.Cluster
Calculate a dissimilarity matrix	autoplot.Dissimilarity chart.Dissimilarity dissimilarity labels.Dissimilarity nobs.Dissimilarity print.Dissimilarity
Draw a line to cut a dendrogram	geom_dendroline
K-means clustering	augment.kmeans autoplot.k_means chart.k_means k_means plot.k_means predict.k_means profile_k
Multidimensional scaling or principal coordinates analysis	augment.mds autoplot.mds autoplot.shepard chart.mds chart.shepard glance.mds mds plot.mds plot.shepard shepard
Multiple Factor Analysis (MFA)	autoplot.MFA chart.MFA mfa
Principal Component Analysis (PCA)	as.prcomp as.prcomp.default as.prcomp.prcomp as.prcomp.princomp augment.princomp autoplot.pcomp chart.pcomp pca tidy.princomp
Scale a data frame (data.frame, data.table or tibble's tbl_df)	scale scale.data.frame scale.data.table scale.tbl_df