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trelliscopejs
View on CRAN: Click
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Download and install trelliscopejs package within the R console
Install from CRAN:
install.packages("trelliscopejs")
Install from Github:
library("remotes")
install_github("cran/trelliscopejs")
Install by package version:
library("remotes")
install_version("trelliscopejs", "0.2.6")
Attach the package and use:
library("trelliscopejs")
Maintained by
Ryan Hafen
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-14
Latest Update: 2021-02-01
Description:
Trelliscope is a scalable, flexible, interactive approach to visualizing data (Hafen, 2013 <doi:10.1109/LDAV.2013.6675164>). This package provides methods that make it easy to create a Trelliscope display specification for TrelliscopeJS. High-level functions are provided for creating displays from within 'tidyverse' or 'ggplot2' workflows. Low-level functions are also provided for creating new interfaces.
How to cite:
Ryan Hafen (2018). trelliscopejs: Create Interactive Trelliscope Displays. R package version 0.2.6, https://cran.r-project.org/web/packages/trelliscopejs. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for trelliscopejs
Functions, R codes and Examples using
the trelliscopejs R package
Some associated functions: Trelliscope-shiny . as_cognostics . cog . cog_disp_filter . cog_href . cogs . facet_trelliscope . img_panel . img_panel_local . map2_cog . map2_plot . map_cog . map_plot . mpg_labels . panels . prepare_display . print.facet_trelliscope . set_labels . sort_spec . trelliscope . trelliscopejs-package . update_display_list . write_cognostics . write_config . write_display_obj . write_panel . write_panels .
Some associated R codes: abs-path-checking.R . auto_cogs.R . cog.R . facet_trelliscope.R . helpers.R . htmlwidget.R . json_writers.R . make_png.R . state.R . thumbnail.R . tidy.R . trelliscope.R . trelliscopejs-package.R . Full trelliscopejs package functions and examples
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