Use plotlyProxy to add multiple traces when data changes - r

Question

Thank to this question: SO-Q I have now understood how to remove traces. In this case, I simply remove 0:2, but I can change that to i.e. array(O:unique(factor(df$group))) to remove however many groups my model had created in a previous run.
What I haven't been able to figure out however, is how to add multiple traces, 1 for each factor in the target column, and color them by the colors in THECOLORS
library("shiny")
library("plotly")
rock[,2] <- sample(c('A', 'B', 'C'), 48, replace = T)
THECOLORS <- c('#383838', '#5b195b','#1A237E', '#000080', '#224D17', '#cccc00', '#b37400', '#990000')
ui <- fluidPage(
selectInput("dataset", "Choose a dataset:", choices = c("mtcars","rock")),
plotlyOutput("Plot1")
)
server <- function(input, output, session) {
dataSource <- reactive({switch(input$dataset,"rock" = rock,"mtcars" = mtcars)})
output$Plot1 <- renderPlotly({plot_ly(mtcars, x = ~mpg, y = ~hp, type = 'scatter', mode = 'markers', color = as.factor(mtcars$cyl), colors = THECOLORS) })
observeEvent(input$dataset, {
f <- list(
family = "Courier New, monospace",
size = 18,
color = "#7f7f7f"
)
x <- list(
title = "x Axis",
titlefont = f,
range = c(0,(max(dataSource()[,1])+ 0.1*max(dataSource()[,1])))
)
y <- list(
title = "y Axis",
titlefont = f,
range = c(0,(max(dataSource()[,4])+ 0.1*max(dataSource()[,4])))
)
plotlyProxy("Plot1", session) %>%
plotlyProxyInvoke("deleteTraces",array(0:2)) %>%
# lapply(unique(dataSource()[,2], function(x) { data <- dataSource()[which(dataSource()[,2] == x)],
# plotlyProxyInvoke("addTraces",
#
# x = data()[,1],
# y = data()[,4],
# type = 'scatter',
# mode = 'markers')}) %>%
plotlyProxyInvoke("relayout", list(xaxis = x, yaxis = y))
})
}
shinyApp(ui, server)

Answer 1

Basically when using plotlyProxy and than plotlyProxyInvoke with "addTraces", "addTraces" is used to add more traces.
You have to create a list of lists and each inner list would contain the details of each trace.
In your case with many traces to add maybe some of the functions from the purrr package could help in creating the list of lists defining the traces.
Take a look at the code below. It is a very simplified example, adding only two traces but the lists of list approach is there.
Regarding your comment about the speed maybe you could load data only when needed and partially if your app concept allows for that...
The code:
library("shiny")
library("plotly")
library(purrr)
ui <- fluidPage(
selectInput("dataset", "Choose a dataset:", choices = c("rock", "mtcars")),
plotlyOutput("Plot1")
)
server <- function(input, output, session) {
output$Plot1 <- renderPlotly({plot_ly(data = rock, x = ~area,
y =~peri, mode = 'markers', type = 'scatter')})
observeEvent(input$dataset, {
if (input$dataset == "rock") {
f <- list(
family = "Courier New, monospace",
size = 18,
color = "#7f7f7f"
)
x <- list(
title = "Area",
titlefont = f,
range = c(0, max(rock$area))
)
y <- list(
title = "Peri/Perm",
titlefont = f,
range = c(0, max(rock$peri))
)
plotlyProxyInvoke(plotlyProxy("Plot1", session), "addTraces", list(list(
x = rock$area,
y = rock$peri,
type = 'scatter',
mode = 'markers',
marker = list(size = 10,
color = 'rgba(255, 182, 193, .9)',
line = list(color = 'rgba(0, 255, 0, .3)',
width = 2))
),
list(
x = rock$area,
y = rock$perm,
type = 'scatter',
mode = 'markers',
marker = list(size = 10,
color = 'rgba(255, 182, 193, .9)',
line = list(color = 'rgba(152, 0, 0, .8)',
width = 2))
))
)
plotlyProxy("Plot1", session) %>%
plotlyProxyInvoke("deleteTraces", list(as.integer(0))) %>%
plotlyProxyInvoke("relayout", list(xaxis = x, yaxis = y))
} else {
f <- list(
family = "Courier New, monospace",
size = 18,
color = "#7f7f7f"
)
x <- list(
title = "hp",
titlefont = f,
range = c(0, max(mtcars$hp))
)
y <- list(
title = "mpg/cyl",
titlefont = f,
range = c(0, max(mtcars$mpg))
)
plotlyProxyInvoke(plotlyProxy("Plot1", session), "addTraces", list(list(
x = mtcars$hp,
y = mtcars$mpg,
type = 'scatter',
mode = 'markers',
marker = list(size = 10,
color = 'rgba(255, 182, 193, .9)',
line = list(color = 'rgba(0, 255, 0, .3)',
width = 2))
),
list(
x = mtcars$hp,
y = mtcars$cyl,
type = 'scatter',
mode = 'markers',
marker = list(size = 10,
color = 'rgba(255, 182, 193, .9)',
line = list(color = 'rgba(152, 0, 0, .8)',
width = 2))
))
)
plotlyProxy("Plot1", session) %>%
plotlyProxyInvoke("deleteTraces", list(as.integer(0))) %>%
plotlyProxyInvoke("relayout", list(xaxis = x, yaxis = y))
}
})
}
shinyApp(ui, server)