Package index • codexplor

All functions

add.stats.corpus.list(): add network-metrics to nodelist & summarise a corpus.list

add_doc_network_to_corpus(): Compute a Citations Network of functions form a corpus_list dataframe

add_functions_list_to_corpus(): Compute a function list from the codes df of a corpus.list object

censor_quoted_text(): Censor or erase quoted substrings in a text

compute_nchar_metrics(): Get lines text-metrics from a df

construct_corpus(): Construct a list of Data Frames of Lines Readed From Files Within a Local GitHub Repositories and/or Local Folders

.construct.corpus.lines(): Construct a corpus.lines dataframe

.construct.corpus.list(): Create a corpus.list from a list or append a dataframe to a corpus.list

.construct.nodelist(): Construct a corpus.nodelist dataframe

explor_project(): Turn a programing project into a Corpus and get message about files and functions

extract_delimited_fn_code(): Extract code for each functions of the functions df of a corpus.list within bracket Here we need a corpus$functions object with columns for begining and end position (hardcoded colnames)

extract_fn_params(): Extract parameters for each functions of the functions df of a corpus.list

extract_indented_fn_code(): Extract parameters and code for each functions of the functions df of a corpus.list

filter_igraph_egonetwork(): Extract an ego-subgraph based on a regex pattern

fix_escaping(): Escape the special characters in a string

gather_df_lines(): Concatenate text by a common key

get_citations_network_from_df(): Construct a Citations Network from Data Frame

get_def_regex_by_language(): Retrieve function definition regex patterns by programming language(s)

get_github_raw_filespath(): Get GitHub File URLs Matching a Pattern

get_igraph_from_df(): Convert an edge list into an igraph network

get_networkd3_from_igraph(): Convert an igraph object to a networkD3 visualization

get_regex_from_vector(): Generate Regular Expression from a Character Vector

move_networkd3_legend(): Move the responsive legend of a networkD3 plot and set vertical or horizontal orientation

print(<corpus.lines>): Print Method for corpus.lines

readlines_in_df(): Read text file with readLines and answer a df

separate_commented_lines(): Separate commented and non-commented lines from text

srch_pattern_in_df(): Try to match a text pattern in a df column by only extract the text

str_extract_all_to_tidy_df(): Extract regex matches from a string and return a tidy dataframe