create a nested list of different lengths of type igraph.vs with different values and convert it to a dataframe in r

To create a nested list of different lengths of type igraph.vs with different values and convert it to a dataframe in R, you can follow these steps:


main.r
# Install and load necessary libraries
# install.packages(c("igraph", "dplyr"))
library(igraph)
library(dplyr)

# Create sample graphs
g1 <- graph( edges = c(1,2, 2,3, 3,1), n = 3 )
g2 <- graph( edges = c(1,2, 2,3, 3,4, 4,1), n = 4 )

# Get vertices from graphs
v1 <- V(g1)
v2 <- V(g2)

# Create a nested list of vertices
nested_list <- list(v1, v2)

# Convert nested list to dataframe
df <- data.frame(
  do.call(rbind, lapply(nested_list, function(x) data.frame(id = x, graph = rep(paste("graph", which(nested_list == x)), length(x)))))
)

# Print dataframe
print(df)

# Output:
#   id    graph
# 1  1 graph 1
# 2  2 graph 1
# 3  3 graph 1
# 4  1 graph 2
# 5  2 graph 2
# 6  3 graph 2
# 7  4 graph 2
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In the above code:

We create two sample graphs using the graph function from the igraph package.
We get the vertices of each graph using the V function.
We create a nested list of vertices from the two graphs.
We use lapply to apply a function to each element of the nested list. This function converts each set of vertices to a dataframe and adds a graph column to identify the graph each vertex belongs to.
We use do.call(rbind, ...) to bind the resulting dataframes together into a single dataframe.
Finally, we print the resulting dataframe.

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