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myIO  

Interactive Data Visualizations Using 'd3.js'
View on CRAN: Click here


Download and install myIO package within the R console
Install from CRAN:
install.packages("myIO")

Install from Github:
library("remotes")
install_github("cran/myIO")

Install by package version:
library("remotes")
install_version("myIO", "1.2.0")



Attach the package and use:
library("myIO")
Maintained by
Ryan Morton
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-11
Latest Update: 2026-06-11
Description:
Create interactive 'd3.js' visualizations from R with built-in statistical transforms. Computes confidence intervals, regression fits, LOESS smoothing, moving averages, error bars, and uncertainty visualizations (quantile dot plots and fan charts) in R and renders them as composable chart layers via 'htmlwidgets'. Supports 36 chart types including boxplots, violin plots, Q-Q diagnostic plots, calendar heatmaps, survival curves, and group comparisons with pairwise significance testing. Also provides a machine-readable chart specification schema with validators so that large language model agents can author and verify charts. Works in 'RStudio', 'Shiny', and 'R Markdown'.
How to cite:
Ryan Morton (2026). myIO: Interactive Data Visualizations Using 'd3.js'. R package version 1.2.0, https://cran.r-project.org/web/packages/myIO. Accessed 26 Jun. 2026.
Previous versions and publish date:
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Complete documentation for myIO
Functions, R codes and Examples using the myIO R package
Full myIO package functions and examples
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