sg_add_nodes(sg, data, delay, ..., cumsum = TRUE)

sg_add_edges(sg, data, delay, ..., cumsum = TRUE, refresh = FALSE)

## Arguments

sg An object of class sigmajsas intatiated by sigmajs. Data.frame (or list) of nodes or edges. Column name containing delay in milliseconds. Any column name, see details. Whether to compute the cumulative sum of the delay. Whether to refresh the graph after node is dropped, required to take effect, if you are running force the algorithm is killed and restarted at every iteration.

## Details

The delay helps for build dynamic visualisations where nodes and edges do not appear all at the same time. How the delay works depends on the cumsum parameter. if TRUE the function computes the cumulative sum of the delay to effectively add each row one after the other: delay is thus applied at each row (number of seconds to wait before the row is added *since the previous row*). If FALSE this is the number of milliseconds to wait before the node or edge is added to the visualisation; delay is used as passed to the function.

## Examples

# initial nodes
nodes <- sg_make_nodes()

nodes2 <- sg_make_nodes()
nodes2$id <- as.character(seq(11, 20)) # add delay nodes2$delay <- runif(nrow(nodes2), 500, 1000)

sigmajs() %>%
sg_nodes(nodes, id, label, size, color) %>%
sg_add_nodes(nodes2, delay, id, label, size, color)

edges <- sg_make_edges(nodes, 25)
edges\$delay <- runif(nrow(edges), 100, 2000)

sigmajs() %>%
sg_force_start() %>%
sg_nodes(nodes, id, label, size, color) %>%
sg_add_edges(edges, delay, id, source, target, cumsum = FALSE) %>%
sg_force_stop(2300) # stop after all edges added