Nothing
getParsingTables = function(tableSuffix, tableNames = NULL) {
xml_filename = NULL
ac = as.character()
ai = as.integer()
r = list(
pmid_status = data.table(xml_filename = ac, status = ac),
article_id = data.table(id_type = ac, id_value = ac),
article = data.table(
title = ac, language = ac, vernacular_title = ac, pub_model = ac,
pub_date = as.Date(ac)),
journal = data.table(
journal_name = ac, journal_iso = ac, pub_date = as.Date(ac),
pub_year = ac, pub_month = ac, pub_day = ac, medline_date = ac,
volume = ac, issue = ac, cited_medium = ac),
pub_type = data.table(type_name = ac, type_id = ac),
pub_history = data.table(pub_status = ac, pub_date = as.Date(ac)),
mesh_list = data.table(indexing_method = ac),
mesh_descriptor = data.table(
descriptor_pos = ac, descriptor_name = ac, descriptor_ui = ac,
descriptor_major_topic = ac),
mesh_qualifier = data.table(
descriptor_pos = ac, qualifier_name = ac, qualifier_ui = ac,
qualifier_major_topic = ac),
keyword_list = data.table(list_owner = ac),
keyword_item = data.table(keyword_name = ac, major_topic = ac),
grant_list = data.table(complete = ac),
grant_item = data.table(
grant_id = ac, acronym = ac, agency = ac, country = ac),
chemical = data.table(
registry_number = ac, substance_name = ac, substance_ui = ac),
data_bank = data.table(
data_bank_name = ac, accession_number = ac),
comment = data.table(ref_type = ac, ref_pmid = ai),
abstract_copyright = data.table(copyright = ac),
abstract = data.table(
text = ac, label = ac, nlm_category = ac, abstract_pos = ai),
author = data.table(
author_pos = ai, last_name = ac, fore_name = ac, initials = ac,
suffix = ac, valid = ac, equal_contrib = ac, collective_name = ac),
author_affiliation = data.table(
author_pos = ai, affiliation_pos = ai, affiliation = ac),
author_identifier = data.table(
author_pos = ai, source = ac, identifier = ac),
author_affiliation_identifier = data.table(
author_pos = ai, affiliation_pos = ai, source = ac, identifier = ac),
author_list = data.table(complete = ac),
investigator = data.table(
investigator_pos = ai, last_name = ac, fore_name = ac, initials = ac,
suffix = ac, valid = ac),
investigator_affiliation = data.table(
investigator_pos = ai, affiliation_pos = ai, affiliation = ac),
investigator_identifier = data.table(
investigator_pos = ai, source = ac, identifier = ac),
investigator_affiliation_identifier = data.table(
investigator_pos = ai, affiliation_pos = ai, source = ac,
identifier = ac),
other_abstract = data.table(text = ac, type = ac, language = ac),
other_id = data.table(source = ac, id_value = ac),
xml_processed = data.table(
xml_filename = ac, pmparser_version = ac,
datetime_processed = as.POSIXct(ac)))
dBase = data.table(pmid = ai, version = ai)
for (tableName in setdiff(names(r), 'xml_processed')) {
r[[tableName]] = cbind(dBase, r[[tableName]])}
if (!isEmpty(tableSuffix)) {
tNames = setdiff(names(r), c('pmid_status', 'xml_processed'))
for (tableName in tNames) {
r[[tableName]][, xml_filename := ac]
setcolorder(r[[tableName]], c('pmid', 'version', 'xml_filename'))}}
names(r) = paste_(names(r), tableSuffix)
if (!is.null(tableNames)) r = r[names(r) %in% tableNames]
return(r)}
createParsingTables = function(
tableSuffix = NULL, overwrite = FALSE, dbtype = 'postgres', dbname = NULL,
tableNames = NULL, ...) {
if (is.null(dbname)) return(invisible())
con = connect(dbtype, dbname, ...)
parTables = getParsingTables(tableSuffix, tableNames)
tableExists = sapply(
names(parTables), function(x) DBI::dbExistsTable(con, x))
stopifnot(!any(tableExists) || isTRUE(overwrite))
for (i in seq_len(length(parTables))) {
if (tableExists[i]) DBI::dbRemoveTable(con, names(parTables)[i])
createTable(con, names(parTables)[i], parTables[[i]])}
disconnect(con)
invisible()}
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