minmax()
Bound values to a lower and upper limit
n_perm()
Calculate the number of permutations
n_unique()
Number of unique values
vsample()
Wrapper for sample() that always assumes input is a vector of options
sample()
tidy_colnames()
Easily tidy the column names of a tibble
unique_na()
Unique and omit NA
NA
u_pull()
Pull the unique values from a column of a tibble
str_replace_us() str_replace_sp()
str_replace_us()
str_replace_sp()
Replace underscores with spaces or vice versa
show_palette()
Show a color palette in a matrix
filter_component_size()
Filter a tidygraph by component size
get_giant_component() rm_giant_component()
get_giant_component()
rm_giant_component()
Returns the giant component of a graph
recursive_graph_join()
Recursively join a list of tidygraphs
num_qual_neighbors()
Test if neighborhood passes a logical filter
get_node_index()
Get the node indices from a tidygraph
quick_forestfire() quick_barabasi() quick_graph()
quick_forestfire()
quick_barabasi()
quick_graph()
Create random graphs using my preferred models
document_df()
Prints framework for documenting a data frame
prep_node_names()
Prepare the needed number of names