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Showing content from http://cran.rstudio.com/web/packages/MASS/../teal.modules.general/vignettes/using-scatterplot.html below:

Using scatterplot

This is the most important section. We will use the teal::init() function to create an app. The data will be handed over using teal.data::teal_data(). The app itself will be constructed by multiple calls of tm_g_scatterplot() using different combinations of data sets.

# configuration for the single wide datasets
mod1 <- tm_g_scatterplot(
  label = "Single wide dataset",
  x = data_extract_spec(
    dataname = "ADSL",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADSL"]], c("AGE", "BMRKR1", "BMRKR2")),
      selected = "AGE",
      multiple = FALSE,
      fixed = FALSE
    )
  ),
  y = data_extract_spec(
    dataname = "ADSL",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADSL"]], c("AGE", "BMRKR1", "BMRKR2")),
      selected = "BMRKR1",
      multiple = FALSE,
      fixed = FALSE
    )
  ),
  color_by = data_extract_spec(
    dataname = "ADSL",
    select = select_spec(
      label = "Select variables:",
      choices = variable_choices(data[["ADSL"]], c("RACE", "SEX")),
      selected = NULL,
      multiple = TRUE,
      fixed = FALSE
    )
  )
)

# configuration for the two wide datasets
mod2 <- tm_g_scatterplot(
  label = "Two wide datasets",
  x = data_extract_spec(
    dataname = "ADSL",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADSL"]], c("BMRKR1", "BMRKR2")),
      selected = "BMRKR1",
      multiple = FALSE,
      fixed = FALSE
    )
  ),
  y = data_extract_spec(
    dataname = "ADSL",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADSL"]], c("AGE", "SEX")),
      selected = "AGE",
      multiple = FALSE,
      fixed = FALSE
    )
  ),
  color_by = data_extract_spec(
    dataname = "ADSL",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADSL"]], c("COUNTRY", "AGE", "RACE")),
      selected = "COUNTRY",
      multiple = FALSE,
      fixed = FALSE
    )
  )
)

# configuration for the different long datasets
mod3 <- tm_g_scatterplot(
  label = "Different long datasets",
  x = data_extract_spec(
    dataname = "ADRS",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADRS"]]),
      selected = "AVAL",
      multiple = FALSE,
      fixed = FALSE
    ),
    filter = filter_spec(
      label = "Select endpoint:",
      vars = c("PARAMCD", "AVISIT"),
      choices = value_choices(data[["ADRS"]], c("PARAMCD", "AVISIT"), c("PARAM", "AVISIT")),
      selected = "OVRINV - SCREENING",
      multiple = FALSE
    )
  ),
  y = data_extract_spec(
    dataname = "ADTTE",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADTTE"]]),
      selected = "AVAL",
      multiple = FALSE,
      fixed = FALSE
    ),
    filter = filter_spec(
      label = "Select parameters:",
      vars = c("PARAMCD"),
      choices = value_choices(data[["ADTTE"]], "PARAMCD", "PARAM"),
      selected = "OS",
      multiple = TRUE
    )
  ),
  color_by = data_extract_spec(
    dataname = "ADSL",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADSL"]], c("AGE", "SEX")),
      selected = "AGE",
      multiple = FALSE,
      fixed = FALSE
    )
  )
)

# configuration for the wide and long datasets
mod4 <- tm_g_scatterplot(
  label = "Wide and long datasets",
  x = data_extract_spec(
    dataname = "ADSL",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADSL"]], c("SEX", "AGE", "BMRKR1", "COUNTRY")),
      selected = "AGE",
      multiple = FALSE,
      fixed = FALSE
    )
  ),
  y = data_extract_spec(
    dataname = "ADLB",
    filter = list(
      filter_spec(
        vars = "PARAMCD",
        choices = value_choices(data[["ADLB"]], "PARAMCD", "PARAM"),
        selected = levels(data[["ADLB"]]$PARAMCD)[1],
        multiple = FALSE,
        label = "Select measurement:"
      ),
      filter_spec(
        vars = "AVISIT",
        choices = levels(data[["ADLB"]]$AVISIT),
        selected = levels(data[["ADLB"]]$AVISIT)[1],
        multiple = FALSE,
        label = "Select visit:"
      )
    ),
    select = select_spec(
      label = "Selected variable:",
      choices = "AVAL",
      selected = "AVAL",
      multiple = FALSE,
      fixed = TRUE
    )
  ),
  color_by = data_extract_spec(
    dataname = "ADSL",
    select = select_spec(
      label = "Select variable:",
      choices = variable_choices(data[["ADSL"]], c("SEX", "AGE", "RACE", "COUNTRY")),
      selected = NULL,
      multiple = FALSE,
      fixed = FALSE
    )
  )
)

# configuration for the same long datasets (same subsets)
mod5 <- tm_g_scatterplot(
  label = "Same long datasets (same subsets)",
  x = data_extract_spec(
    dataname = "ADRS",
    select = select_spec(
      choices = variable_choices(data[["ADRS"]], c("AVAL", "BMRKR1", "BMRKR2")),
      selected = "AVAL",
      multiple = FALSE,
      fixed = FALSE,
      label = "Select variable:"
    )
  ),
  y = data_extract_spec(
    dataname = "ADRS",
    select = select_spec(
      choices = variable_choices(data[["ADRS"]], c("AVAL", "BMRKR1", "BMRKR2")),
      selected = "BMRKR1",
      multiple = FALSE,
      fixed = FALSE,
      label = "Select variable:"
    )
  ),
  color_by = data_extract_spec(
    dataname = "ADRS",
    select = select_spec(
      choices = variable_choices(data[["ADRS"]], c("AGE", "SEX", "RACE")),
      selected = NULL,
      multiple = FALSE,
      fixed = FALSE,
      label = "Select variable:"
    )
  )
)

# configuration for the same long datasets (different subsets)
mod6 <- tm_g_scatterplot(
  label = "Same long datasets (different subsets)",
  x = data_extract_spec(
    dataname = "ADLB",
    filter = list(
      filter_spec(
        vars = "PARAMCD",
        choices = value_choices(data[["ADLB"]], "PARAMCD", "PARAM"),
        selected = levels(data[["ADLB"]]$PARAMCD)[1],
        multiple = FALSE,
        label = "Select lab:"
      ),
      filter_spec(
        vars = "AVISIT",
        choices = levels(data[["ADLB"]]$AVISIT),
        selected = levels(data[["ADLB"]]$AVISIT)[1],
        multiple = FALSE,
        label = "Select visit:"
      )
    ),
    select = select_spec(
      choices = "AVAL",
      selected = "AVAL",
      multiple = FALSE,
      fixed = TRUE
    )
  ),
  y = data_extract_spec(
    dataname = "ADLB",
    filter = list(
      filter_spec(
        vars = "PARAMCD",
        choices = value_choices(data[["ADLB"]], "PARAMCD", "PARAM"),
        selected = levels(data[["ADLB"]]$PARAMCD)[1],
        multiple = FALSE,
        label = "Select lab:"
      ),
      filter_spec(
        vars = "AVISIT",
        choices = levels(data[["ADLB"]]$AVISIT),
        selected = levels(data[["ADLB"]]$AVISIT)[1],
        multiple = FALSE,
        label = "Select visit:"
      )
    ),
    select = select_spec(
      choices = "AVAL",
      selected = "AVAL",
      multiple = FALSE,
      fixed = TRUE
    )
  ),
  color_by = data_extract_spec(
    dataname = "ADLB",
    filter = list(
      filter_spec(
        vars = "PARAMCD",
        choices = value_choices(data[["ADLB"]], "PARAMCD", "PARAM"),
        selected = levels(data[["ADLB"]]$PARAMCD)[1],
        multiple = FALSE,
        label = "Select lab:"
      ),
      filter_spec(
        vars = "AVISIT",
        choices = levels(data[["ADLB"]]$AVISIT),
        selected = levels(data[["ADLB"]]$AVISIT)[1],
        multiple = FALSE,
        label = "Select visit:"
      )
    ),
    select = select_spec(
      choices = variable_choices(data[["ADLB"]], c("RACE", "SEX")),
      selected = "SEX",
      multiple = FALSE,
      fixed = FALSE,
      label = "Select variable:"
    )
  )
)

# initialize the app
app <- init(
  data = data,
  modules = modules(
    modules(
      label = "Scatterplot",
      mod1,
      mod2,
      mod3,
      mod4,
      mod5,
      mod6
    )
  )
)

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