Packaged: 2021-02-21 13:30:29 UTC; alastairrushworth

Packaged: 2021-07-12 16:28:46 UTC; alastairrushworth

Imports: cld3, dplyr, httr, lubridate, magrittr, processx, progress,
R.utils, ranger, rvest, stringr, tibble, tidyr, tools,
Packaged: 2021-08-17 07:04:03 UTC; alastairrushworth

Packaged: 2022-01-13 08:59:53 UTC; alastairrushworth

Packaged: 2022-07-09 16:07:49 UTC; alastairrushworth

Title: Assemble Data Frames from HTML Tables
Authors@R: person("Christian", "Rubba", email = "christian.rubba@gmail.com",
Description: htmltab is a package for extracting structured information from
HTML tables. It is similar to readHTMLTable() of the XML package but provides
two major advantages. First, the package automatically expands row and
column spans in the header and body cells. Second, users are given more
control over the identification of header and body rows which will end up
in the R table. Additionally, the function preprocesses table code, removes
unneeded parts and so helps to alleviate the need for tedious post-processing.
Suggests: testthat, knitr, magrittr (>= 1.5), tidyr
Packaged: 2015-01-13 23:17:15 UTC; christian

Description: HTML tables are a valuable data source but extracting and recasting
these data into a useful format can be tedious. htmltab is a package for
extracting structured information from HTML tables. It is similar to
readHTMLTable() of the XML package but provides two major advantages. First,
the function automatically expands row and column spans in the header and
body cells. Second, users are given more control over the identification of
header and body rows which will end up in the R table. Additionally, the
function preprocesses table code, removes unneeded parts and so helps to
alleviate the need for tedious post-processing.
Packaged: 2015-07-22 07:31:18 UTC; christian

these data into a useful format can be tedious. This package allows to collect
structured information from HTML tables. It is similar to readHTMLTable()
of the XML package but provides three major advantages. First, the function
automatically expands row and column spans in the header and body cells.
Second, users are given more control over the identification of header and body
rows which will end up in the R table, including semantic header information
that appear throughout the body. Third, the function preprocesses table code,
corrects common types of malformations, removes unneeded parts and so helps to
Packaged: 2016-05-28 10:42:54 UTC; christian