read-batch.Rd
Read nodes and edges by batch with a delay.
sg_read_delay_nodes_p(proxy, data, ..., delay) sg_read_delay_edges_p(proxy, data, ..., delay) sg_read_delay_exec_p(proxy, refresh = TRUE)
proxy | An object of class |
---|---|
data | A |
... | any column. |
delay | Column name of containing batch identifier. |
refresh | Whether to refresh the graph after each batch ( |
Add nodes and edges with sg_read_delay_nodes_p
and sg_read_delay_edges_p
then execute (send to JavaScript end) with sg_read_delay_exec_p
.
library(shiny) ui <- fluidPage( actionButton("add", "add nodes & edges"), sigmajsOutput("sg") ) server <- function(input, output, session){ output$sg <- renderSigmajs({ sigmajs() }) observeEvent(input$add, { nodes <- sg_make_nodes(50) nodes$batch <- c( rep(1000, 25), rep(3000, 25) ) edges <- data.frame( id = 1:80, source = c( sample(1:25, 40, replace = TRUE), sample(1:50, 40, replace = TRUE) ), target = c( sample(1:25, 40, replace = TRUE), sample(1:50, 40, replace = TRUE) ), batch = c( rep(1000, 40), rep(3000, 40) ) ) %>% dplyr::mutate_all(as.character) sigmajsProxy("sg") %>% sg_force_start_p() %>% sg_read_delay_nodes_p(nodes, id, color, label, size, delay = batch) %>% sg_read_delay_edges_p(edges, id, source, target, delay = batch) %>% sg_read_delay_exec_p() %>% sg_force_stop_p() }) } if(interactive()) shinyApp(ui, server)