Package index • rpigraf

All functions

abc2num(): Convert letters to a number, e.g. c becomes 3
api_buildurl(): Build base URL
api_delete(): Delete epigraf data
api_download(): Download a file from Epigraf
api_fetch(): Fetch entity data such as articles, projects or properties from the API
api_job_create(): Create and execute a job
api_job_execute(): Execute a job
api_patch(): Patch data
api_post(): Post data to epigraf
api_setup(): Save API connection settings to environment variables
api_silent(): Set silent mode
api_table(): Download tables
api_transfer(): Transfer datasets between different databases
api_upload(): Upload file to epigraf
bind_rows_char(): Bind rows of dataframes even if column types differ
craft_articles(): Create RAM rows for article data
craft_items(): Create RAM rows for item data
craft_projects(): Create RAM rows for project data
craft_properties(): Create RAM rows for property data
craft_sections(): Create RAM rows for section data
db_condition(): Construct filter conditions for the db_table() function
db_connect(): Get a connection to a database
db_databases(): Get list of all databases
db_fetch(): Fetch entity data such as articles, projects or properties using direct database access
db_name(): Get the database name from a connection object
db_setup(): Save database connection settings to environment variables. Environment variables are prefixed with "epi_" and used in db_connect() to establish the connection.
db_table(): Get data from a database table
decode(): Converts "b" using the "base"
default_values(): Set default values
df_to_ram(): Map a data frame to the Relational Article Model (RAM)
distill_articles(): Get articles
distill_properties(): Get the property tree (including annotations)
.to_epitable(): Add the epi_tbl class and make it remember its source
encode(): Converts numbers using the radix vector
epi_clean_irifragment(): Create a clean IRI fragment
epi_create_iri(): Create a clean IRI
epi_extract_long(): Get RAM rows by table name
epi_extract_wide(): Select nested data from prefixed columns
epi_iri_parent(): Get the IRI fragment of an IRI path
epi_is_id(): Check whether the provided vector contains valid IDs prefixed with table names. Example: articles-123
epi_is_irifragment(): Check whether the provided vector contains only valid IRI fragments
epi_is_iripath(): Check whether the provided vector contains a valid IRI path
epi_is_prefixid(): Check whether the provided vector contains valid IDs prefixed with table names and temporary prefixes. Example: articles-tmp123
epi_wide_to_long(): Convert wide to long format
fetch_entity(): Fetch entities such as single articles, projects or properties
fetch_table(): Fetch tables such as articles, projects or properties
merge_lists(): Merge list elements by their name
merge_vectors(): Merge vectors
move_cols_to_end(): Shift selected columns to the end
move_cols_to_front(): Shift selected columns to the front
num2abc(): Convert a number to letters, e.g. 3 becomes c
parse_json(): Parse JSON columns
pseudonyms(): Create distinct pseudonyms
ram_add(): Add a row to the rows in the epi attribute
ram_clear(): Remove all RAM rows from a tibble
ram_compile(): Compile a crafted table with RAM rows ready to patch into the database
tree_add_ancestor(): Add ancestor id and path from a specific level to all children
tree_add_level(): Add level, thread and order
tree_add_mptt(): Adds left and right values to the dataframe
tree_add_path(): Add a column holding the path of each node.
tree_bind_ancestors(): Row bind all ancestors of the selected nodes
tree_get_nodes(): Get all distinct nodes in an edge list
tree_stack_ancestors(): For each node, add each ancestor's id