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12 de sept. de 2020 · crosstalk can handle interactive filtering and highlighting across multiple plots, maps, and tables to feature the same data subsets. However, unlike Shiny, t cannot do operations that would require R to recompute the data (for example, aggregation or refitting a model).
28 de ene. de 2022 · options = list(dom = 'Bfrtip', filter = 'top', buttons = c('excel', "csv"))) This is easier to do with "shiny documents", Rmarkdown that are running on a shiny instance (runtime: shiny), see here bookdown.org/yihui/rmarkdown/shiny-start.html.
There are two types of interactive R Markdown documents: you can use the HTML Widgets framework, or the Shiny framework (or both). They will be described in more detail in Chapter 16 and Chapter 19 , respectively.
The rmarkdown package helps you create dynamic analysis documents that combine code, rendered output (such as figures), and prose. You bring your data, code, and ideas, and R Markdown renders your content into a polished document that can be used to:
The rmarkdown package helps you create dynamic analysis documents that combine code, rendered output (such as figures), and prose. You bring your data, code, and ideas, and R Markdown renders your content into a polished document that can be used to:
28 de dic. de 2021 · R Markdown is an authoring format that enables easy creation of dynamic documents, presentations, and reports from R. It combines the core syntax of markdown (an easy-to-write plain text format) with embedded R code chunks that are run so their output can be included in the final document.
Turn your analyses into high quality documents, reports, presentations and dashboards with R Markdown. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output. Use multiple languages including R, Python, and SQL.
