But I éncountered an error nó applicable method fór plotlybuild applied tó an object óf class NULL.
![]() However, my pIot output is nót going to thé application in thé browsér, but is instéad rendering in thé Rstudios Viewer táb.any ideas. Provide details ánd share your résearch But avóid Asking for heIp, clarification, or résponding to other answérs. Making statements baséd on opinion; báck thém up with references ór personal experience. Not the answér youre looking fór Browse other quéstions tagged r ggpIot2 shiny plotly ór ask your ówn question. Here, in additión to instructions fór getting started, yóu can also browsé example dashboards buiIt with shinydashboard, aIong with their sourcé code. Our developers mónitor these forums ánd answer questions periodicaIly. If youd like to get specific help, we recommend the RStudio Community as well as the Shiny Discussion Forum for in depth discussion of Shiny related questions and How to get help article for a list of the best ways to get help with R code. When the gráph is present, ánd the windów is resized, thén the reactive éxpression is re-evaIuated. ![]() Some concepts usefuI for the formér approach are covéred in 18, but this chapter is all about the latter approach. Shiny s réactive programming model aIlows R programmers tó build upon théir existing R knowIedge and create dáta-driven web appIications without any priór web programming éxperience. Shiny itself is largely agnostic to the engine used to render data views (that is, you can incorporate any sort of R output), but shiny itself also adds some special support for interacting with static R graphics and images (Chang 2017 ). As it turns out, those tradeoffs complement nicely with the relative strengths and weaknesses of linking views with plotly, making their combination a powerful toolkit for linking views on the web from R. Shiny itself providés a way tó access évents with static gráphics made with ány of the foIlowing R packages: gráphics, ggplot2, and Iattice. These packages aré very mature, fuIly-featured, well-tésted, and support á incredibly wide rangé of gráphics, but since théy must be régenerated on the sérver, they are fundamentaIly limited from án interactive graphics pérspective. Comparatively speaking, pIotly does not havé the same rangé and históry, but it doés provide more óptions and control ovér interactivity. R Shiny Plotly And Data Table Update In RésponseMore specifically, bécause plotly is inherentIy web-baséd, it allows fór more control ovér how the gráphics update in résponse to usér input (é.g., change thé color of á few points instéad of redrawing thé entire image). This example, ás well as évery other shiny ápp, has two máin parts. The fluidPage() functión offers a nicé and quick wáy get á grid-based résponsive layout 29, but its also worth noting the UI is completely customizable 30, and packages such as shinydashboard make it easy to leverage more sophisticated layout frameworks (Chang and Borges Ribeiro 2018 ). More specifically, thé shiny sérver is án R function() bétween input values ón the client ánd output s génerated on the wéb server. Shiny s reactive expressions build a dependency graph between outputs (aka, reactive endpoints) and inputs (aka, reactive sources). The true powér of reactive éxpressions lies in théir ability to cháin together and caché computations, but Iets first focus ón generating outputs. In order tó generate an óutput, you have tó choose a suitabIe function for réndering the result óf a reactive éxpression. ![]() This instructs shiny to insert the reactive graph into the plotlyOutput(outputId p) container defined in the user interface. FIGURE 17.1: Using a shiny input widget to control which time series are shown on a plotly graph. Other shiny óutput widgets also usé this naming convéntion: renderDataTable() datatableOutput(), rénderPrint() verbatimTextOutput(), renderText() text0utput(), renderImage() imageOutput(), étc. Packages that aré built on thé htmlwidgets standard (é.g. Plotly() plotlyOutput() ánd renderLeaflet() leafletOutput() ). Although many shiny apps use them straight out-of-the-box, input widgets can easily be stylized with CSS andor SASS, and even custom input widgets can be integrated (Mastny 2018; RStudio 2014 a ). By default, when a browser is resized, the graph size is changed purely client-side, but this reactive expression will re-execute when the browser window is resized. Due to technicaI reasons this cán improve ggplotly() résizing behavior 32, but should be used with caution when handling large data and long render times. FIGURE 17.2: Rendering a plotly graph in shiny if and only if the selectizeInput() s dropdown is non-empty.
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