person("Andrew","Lee",    role=("aut"), email = "aleet383@ucla.edu"),
person("Katherine","Ly",  role=c("ctb"), email = "ktl045@ucsd.edu"),
person("Kevin","Banh",    role=c("ctb"), email = "kebanh@ucsd.edu"),
person("Priya","Pahal",   role=c("ctb"), email = "ppahal@ucsd.edu"),
Imports: igraph, ggpubr, GGally, network, ggplot2, dplyr

Imports: igraph, ggpubr, GGally, network, ggplot2, dplyr, ggrepel

Imports: igraph, ggpubr, GGally, network, ggplot2, dplyr, ggrepel,

person("Jitarth","Sheth", role=c("ctb"), email = "jhsheth@ucsd.edu"),

person("Joshua","Le",     role=c("aut"), email = "jpl038@ucsd.edu"),
person("Jitarth","Sheth", role=c("aut", "cre"), email = "jhsheth@ucsd.edu"),
Suggests: rmarkdown, markdown, rticles, knitr, R.rsp, BiocManager,
Imports: igraph, GGally, network, ggplot2, dplyr, ggrepel

person("Jitarth","Sheth", role=c("aut"), email = "jhsheth@ucsd.edu"),
person("Qi","Cui",        role=c("aut"), email = "q1cui@ucsd.edu"),
person("Stanley","Lo",    role=c("aut", "cre"), email = "smlo@ucsd.edu"))

Author: Oldemar Rodriguez R. with contributions from Diego Jimenez A. and Andres Navarro D.
Imports: shiny, shinyAce, FactoMineR, shinydashboard,
shinydashboardPlus, shinyWidgets, colourpicker, shinyjs, knitr,
DT, promises, ggplot2, rstudioapi, factoextra,
reshape,corrplot, dendextend, scatterplot3d, stringr, future,
rmarkdown, zip, ggdendro, stringi, rgdal, raster
Description: Performs an exploratory data analysis through a shiny interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-means method.

Imports: shiny, shinydashboard, shinydashboardPlus, shinyAce, shinyjs,
colourpicker, ggplot2, DT, factoextra, rstudioapi, rmarkdown,
Description: Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.