Give custom name to legend items in ggplotly object

Hi,

I want to make the legend items to be displayed by the choice of inputs and having an "and" between two variables.
I added my sample shiny app, which demonstrates the need for this.
I can change the legend items in ggplot itself. But ggplotly object doesn't reflect this change.

If anybody help me on this, I would be appreciated.

Thank you.
Mustafa

library(data.table)
library(shiny)
library(plotly)
library(shinycssloaders)

global.R file:

df <- data.frame(gender=rep(c("Male", "Female", "Both gender"), each=12, times=3),
age.group=rep(c("15 years and over", "15 to 19 years", "15 to 64 years"), each=36, times=1),
rate=rnorm(108, mean=5, sd=1),
date=rep(seq(as.Date('1976-01-01'),as.Date('1977-01-01'),by = 31), times=9))

df <- as.data.table(df)

mycolor12 = c("#bdc9e1","#55aadb","#016c59", "#FF8C00", "#EE3B3B", "#EEC591", "#00FFFF",
"#8B7500", "#AB82FF", "#FFFFE0", "#FFE1FF", "#8B7E66")

ui.R file:

navbarPage("Sample app",
navbarMenu('First dataset',
tabPanel("Second navigation bar",
fluidRow(
column(3,
wellPanel(
checkboxGroupInput("gender", label = "Gender",
choices = c(
"Both gender",
"Male",
"Female"),
selected = "Both gender"
),
checkboxGroupInput("agegroup", label = "Age group",
choices = c(
"15 years and over",
"15 to 19 years",
"15 to 64 years"),
selected = "15 years and over"
)
),
width=4,
height=110
),
hr(),
column(9,
plotlyOutput('plot_interactive', width=1000, height =450) %>%
withSpinner(color="#0dc5c1"))
)
)
)
)

server.R file:

function(input, output,session){

df_interactive <- reactive({

df[age.group %in% input$agegroup &
     gender %in% input$gender] 

})

target_plot <- reactive({
p <- ggplot(df_interactive(), aes(x=date, y=rate, colour = interaction(age.group, gender)))+
geom_line(aes(color=interaction(age.group, gender)), size=0.5)+
labs(y = "", x = "") +
scale_color_manual(values = mycolor12, name = '',
labels = paste(input$agegroup, input$gender, sep=" and "),
guide = guide_legend(
title="",
direction = "vertical",
label.position = "right",
label.hjust = 0.5,
label.vjust = 1
))+
scale_y_continuous(labels = scales::percent) +
scale_x_date(date_breaks = "1 year", date_labels = "%Y")

p <- ggplotly(p) %>% config(displayModeBar = F) %>%
  layout(legend = list(orientation = "v", x = 1, y=0.3, font = list(size = 10, bgcolor = 'rgb(251)')))

})

output$plot_interactive <- renderPlotly({
target_plot()
})
}

Esegui l’app Shiny di esempio da ui.R, server.R e global.R, quindi esamina target_plot, dove ggplotly converte la legenda di ggplot. Confronta le etichette richieste da scale_color_manual con l’output della legenda interattiva; il lavoro è completato quando la legenda di ggplotly mostra gli input selezionati uniti da "and".