Nothing
# Getting degree information for all nodes in a graph
test_that("a degree data frame can be generated", {
# Create a random graph
graph <-
create_graph() %>%
add_gnm_graph(
n = 10,
m = 10,
set_seed = 23)
# Get the total degree values for all nodes
# in the graph
total_degree_df <- get_degree_total(graph)
# Expect that the output is a data frame
expect_s3_class(
total_degree_df, "data.frame")
# Expect 2 columns in the data frame
expect_equal(
ncol(total_degree_df), 2)
# Expect 10 rows in the data frame
expect_equal(
nrow(total_degree_df), 10)
# Expect certain column names for the df
expect_identical(
colnames(total_degree_df),
c("id", "total_degree"))
# Expect certain values in the 2nd column
expect_equal(
total_degree_df$total_degree,
c(1, 1, 5, 3, 3, 1, 0, 2, 1, 3))
# Get the total degree values for all nodes
# in the graph as normalized values
total_degree_df_norm <-
get_degree_total(
graph = graph,
normalized = TRUE)
# Expect that the output is a data frame
expect_s3_class(
total_degree_df_norm, "data.frame")
# Expect 2 columns in the data frame
expect_equal(
ncol(total_degree_df_norm), 2)
# Expect 10 rows in the data frame
expect_equal(
nrow(total_degree_df_norm), 10)
# Expect certain column names for the df
expect_identical(
colnames(total_degree_df_norm),
c("id", "total_degree"))
# Expect certain values in the 2nd column
expect_equal(
total_degree_df_norm$total_degree,
c(0.1111111, 0.1111111, 0.5555556, 0.3333333, 0.3333333,
0.1111111, 0.0000000, 0.2222222, 0.1111111, 0.3333333),
tolerance = 0.002)
# Get the in-degree values for all nodes
# in the graph
in_degree_df <- get_degree_in(graph)
# Expect that the output is a data frame
expect_s3_class(
in_degree_df, "data.frame")
# Expect 2 columns in the data frame
expect_equal(
ncol(in_degree_df), 2)
# Expect 10 rows in the data frame
expect_equal(
nrow(in_degree_df), 10)
# Expect certain column names for the df
expect_identical(
colnames(in_degree_df),
c("id", "indegree"))
# Expect certain values in the 2nd column
expect_equal(
in_degree_df$indegree,
c(1, 0, 2, 1, 0, 1, 0, 2, 1, 2))
# Get the total degree values for all nodes
# in the graph as normalized values
in_degree_df_norm <-
get_degree_in(
graph = graph,
normalized = TRUE)
# Expect that the output is a data frame
expect_s3_class(
in_degree_df_norm, "data.frame")
# Expect 2 columns in the data frame
expect_equal(
ncol(in_degree_df_norm), 2)
# Expect 10 rows in the data frame
expect_equal(
nrow(in_degree_df_norm), 10)
# Expect certain column names for the df
expect_identical(
colnames(in_degree_df_norm),
c("id", "indegree"))
# Expect certain values in the 2nd column
expect_equal(
in_degree_df_norm$indegree,
c(0.1111111, 0.0000000, 0.2222222, 0.1111111, 0.0000000,
0.1111111, 0.0000000, 0.2222222, 0.1111111, 0.2222222),
tolerance = 0.002)
# Get the out-degree values for all nodes
# in the graph
out_degree_df <- get_degree_out(graph)
# Expect that the output is a data frame
expect_s3_class(
out_degree_df, "data.frame")
# Expect 2 columns in the data frame
expect_equal(
ncol(out_degree_df), 2)
# Expect 10 rows in the data frame
expect_equal(
nrow(out_degree_df), 10)
# Expect certain column names for the df
expect_identical(
colnames(out_degree_df),
c("id", "outdegree"))
# Expect certain values in the 2nd column
expect_equal(
out_degree_df$outdegree,
c(0, 1, 3, 2, 3, 0, 0, 0, 0, 1))
# Get the total degree values for all nodes
# in the graph as normalized values
out_degree_df_norm <-
get_degree_out(
graph = graph,
normalized = TRUE)
# Expect that the output is a data frame
expect_s3_class(
out_degree_df_norm, "data.frame")
# Expect 2 columns in the data frame
expect_equal(
ncol(out_degree_df_norm), 2)
# Expect 10 rows in the data frame
expect_equal(
nrow(out_degree_df_norm), 10)
# Expect certain column names for the df
expect_identical(
colnames(out_degree_df_norm),
c("id", "outdegree"))
# Expect certain values in the 2nd column
expect_equal(
out_degree_df_norm$outdegree,
c(0.0000000, 0.1111111, 0.3333333, 0.2222222, 0.3333333,
0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.1111111),
tolerance = 0.002)
})
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