See the project website for more details and live examples, and see below for important details on use in shiny apps.
This library was inspired by the
shinyTable package. Most of the original functionality was preserved, and the
htmlwidgets framework made it possible to leverage even more of the Handsontable.js functionality.
See the vignette for detailed examples and links to shiny apps.
To install from CRAN use
For the latest development version use
A simple example
library(rhandsontable) DF = data.frame(int = 1:10, numeric = rnorm(10), logical = TRUE, character = LETTERS[1:10], fact = factor(letters[1:10]), date = seq(from = Sys.Date(), by = "days", length.out = 10), stringsAsFactors = FALSE) # add a sparkline chart DF$chart = sapply(1:10, function(x) jsonlite::toJSON(list(values=rnorm(10)))) rhandsontable(DF, rowHeaders = NULL) %>% hot_col("chart", renderer = htmlwidgets::JS("renderSparkline"))
A more involved
shiny::runGitHub("rhandsontable", "jrowen", subdir = "inst/examples/rhandsontable_corr")
Important note on shiny use: The
htmlwidgets package creates widgets as shiny output bindings. The
rhandsontable package also attempts to expose the table as a pseudo shiny input binding using handsontable change events (see here for the supported events). This means the table (e.g.
hot) can be accessed in shiny using either
output$hot, but these values may not be in-sync. The timing of updates will depend on the particular reactive path followed by your shiny application.
Since the widget is not currently able to use the standard shiny input binding functionality, you will need to explicitly call the
hot_to_r function to convert the handsontable data to an R object.
Two additional inputs are also enabled,
input$hot_comment, which will fire when a cell selection or a comment changes, respectively (if you would like to see more options, please post an issue or create a PR).
This functionality is still evolving, so please don't hesitate to share suggestions and PRs.