inst/doc/manipulateWidgets.R

## ----setup, include=FALSE------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
library(manipulateWidget)

## ----eval=FALSE----------------------------------------------------------
#  manipulateWidget(
#    myPlotFun(country),
#    country = mwSelect(c("BE", "DE", "ES", "FR"))
#  )

## ----eval=FALSE----------------------------------------------------------
#  manipulateWidget(
#    myPlotFun(distribution, range, title),
#    distribution = mwSelect(choices = c("gaussian", "uniform")),
#    range = mwSlider(2000, 2100, value = c(2000, 2100), label = "period"),
#    title = mwText()
#  )

## ----eval=FALSE----------------------------------------------------------
#  help(package = "manipulateWidget")

## ----combine, warning=FALSE, out.width="100%"----------------------------
library(dygraphs)

plotRandomTS <- function(id) {
  dygraph(data.frame(x = 1:10, y = rnorm(10)), main = paste("Random plot", id))
}

combineWidgets(plotRandomTS(1), plotRandomTS(2))

## ----combine_complex_layout, , out.width="100%"--------------------------
combineWidgets(
  ncol = 2, colsize = c(2, 1),
  plotRandomTS(1),
  combineWidgets(
    ncol = 1,
    plotRandomTS(2),
    plotRandomTS(3),
    plotRandomTS(4)
  )
)

## ----combine_content, , out.width="100%", out.height=400-----------------
combineWidgets(
  plotRandomTS(1),
  plotRandomTS(2),
  plotRandomTS(3),
  plotRandomTS(4),
  title = "Four random plots",
  header = "Here goes the header content. <span style='color:red'>It can include html code</span>.",
  footer = "Here goes the footer content.",
  leftCol = "<div style='margin-top:150px;'>left column</div>",
  rightCol = "<div style='margin-top:150px;'>right column</div>"
)

## ----eval=FALSE----------------------------------------------------------
#  mydata <- data.frame(
#    timeId = 1:100,
#    series1 = rnorm(100),
#    series2 = rnorm(100),
#    series3 = rnorm(100)
#  )
#  manipulateWidget(
#    dygraph(mydata[range[1]:range[2], c("timeId", series)], main = title),
#    range = mwSlider(1, 100, c(1, 100)),
#    series = mwSelect(c("series1", "series2", "series3")),
#    title = mwText(),
#    .compare = list(
#      title = list("First chart", "Second chart"),
#      series = NULL
#    )
#  )

## ----eval = FALSE--------------------------------------------------------
#  mydata <- data.frame(x = 1:100, y = rnorm(100))
#  manipulateWidget(
#    dygraph(mydata[range[1]:range[2], ],
#            main = title, xlab = xlab, ylab = ylab),
#    range = mwSlider(1, 100, c(1, 100)),
#    "Graphical parameters" = mwGroup(
#      title = mwText("Fictive time series"),
#      xlab = mwText("X axis label"),
#      ylab = mwText("Y axis label")
#    )
#  )

## ----eval=FALSE----------------------------------------------------------
#  mydata <- data.frame(x = 1:100, y = rnorm(100))
#  
#  myPlot <- function(type, lwd) {
#    if (type == "points") {
#      plot_ly(mydata, x= ~x, y = ~y, type = "scatter", mode = "markers")
#    } else {
#      plot_ly(mydata, x= ~x, y = ~y, type = "scatter", mode = "lines",
#              line = list(width = lwd))
#    }
#  }
#  
#  manipulateWidget(
#    myPlot(type, lwd),
#    type = mwSelect(c("points", "lines"), "points"),
#    lwd = mwSlider(1, 10, 1, .display = type == "lines")
#  )

## ----dynamic_input, eval=FALSE-------------------------------------------
#  colMax <- apply(mtcars, 2, max)
#  
#  plotCar <- function(carName) {
#    carValues <- unlist(mtcars[carName, ])
#    carValuesRel <- carValues / colMax
#    plot_ly() %>%
#      add_bars(x = names(mtcars), y = carValuesRel, text = carValues,
#               hoverinfo = c("x+text"))
#  }
#  
#  carChoices <- split(row.names(mtcars), mtcars$cyl)
#  
#  str(carChoices)
#  ## $ 4: chr [1:11] "Datsun 710" "Merc 240D" "Merc 230" "Fiat 128" ...
#  ## $ 6: chr [1:7] "Mazda RX4" "Mazda RX4 Wag" "Hornet 4 Drive" "Valiant" ...
#  ## $ 8: chr [1:14] "Hornet Sportabout" "Duster 360" "Merc 450SE" "Merc 450SL" ...
#  
#  manipulateWidget(
#    plotCar(car),
#    cylinders = mwSelect(c("4", "6", "8")),
#    car = mwSelect(choices = carChoices[[cylinders]])
#  )

## ----eval=FALSE----------------------------------------------------------
#  lon <- rnorm(10, sd = 20)
#  lat <- rnorm(10, sd = 20)
#  
#  myMapFun <- function(radius, color, initial, session, outputId) {
#    if (initial) {
#      # Widget has not been rendered
#      map <- leaflet() %>% addTiles()
#    } else {
#      # widget has already been rendered
#      map <- leafletProxy(outputId, session) %>% clearMarkers()
#    }
#  
#    map %>% addCircleMarkers(lon, lat, radius = radius, color = color)
#  }
#  
#  manipulateWidget(myMapFun(radius, color, .initial, .session, .output),
#                   radius = mwSlider(5, 30, 10),
#                   color = mwSelect(c("red", "blue", "green")))
#  

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manipulateWidget documentation built on May 2, 2019, 4:01 a.m.