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

To create a nested list of different lengths of type igraph.vs with different values of type integer, you can use the following code:


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

# Create an empty graph
g <- make_empty_graph()

# Add vertices to the graph
g <- add_vertices(g, 10)

# Create a nested list of different lengths of type igraph.vs
nested_list <- list(
  vs = V(g)[1:3],
  vs2 = V(g)[4:7],
  vs3 = V(g)[8:10]
)

# Convert the nested list to a dataframe
df <- data.frame(
  id = unlist(lapply(nested_list, function(x) x)),
  group = rep(names(nested_list), sapply(nested_list, length))
)

# Print the dataframe
print(df)
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This code will create a dataframe df with two columns: id and group. The id column contains the vertex IDs from the graph, and the group column contains the corresponding group names.

If you want to assign different integer values to each vertex in the nested list, you can modify the code as follows:


main.r
# Create a nested list of different lengths of type igraph.vs with different values of type integer
nested_list <- list(
  vs = list(V(g)[1:3], c(1, 2, 3)),
  vs2 = list(V(g)[4:7], c(4, 5, 6, 7)),
  vs3 = list(V(g)[8:10], c(8, 9, 10))
)

# Convert the nested list to a dataframe
df <- data.frame(
  id = unlist(lapply(nested_list, function(x) x[[1]])),
  value = unlist(lapply(nested_list, function(x) x[[2]])),
  group = rep(names(nested_list), sapply(nested_list, function(x) length(x[[1]])))
)

# Print the dataframe
print(df)
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17 lines

This code will create a dataframe df with three columns: id, value, and group. The id column contains the vertex IDs from the graph, the value column contains the corresponding integer values, and the group column contains the corresponding group names.

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related categories

r

igraph

data.frame