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get_les() to include data
from the 118th Congress (#30).
get_les(les_2) argument. It is no longer
applicable to the new format of the LES dataset, which includes both
versions of LES in the same dataset. This argument will be removed in a
future release.get_voteview_*() functions, downloading online
data from multiple Congresses now uses {purrr} and {mirai} for
parallelism, not {furrr} and {future} (#34, #42).
mirai::daemons():## install {mirai} and {carrier} to enable parallel downloads
# install.packages("mirai")
# install.packages("carrier")
## detect the number of cores available on your machine
parallel::detectCores()
## launch multiple processes
# launch a specific number of processes
mirai::daemons(4)
# launch a process on all available cores (leaving one free)
mirai::daemons(parallel::detectCores() - 1)
## download Voteview data for multiple congresses
# Goal: with N processes, this can be up to
# N times faster than sequential downloads
get_voteview_rollcall_votes(congress = 95:118)
get_voteview_members(congress = 95:118)
## Good practice: close the connections when you're done using them
mirai::daemons(0)See
vignette("parallel-downloads", package = "filibustr") for
more on downloading data in parallel.
get_les(), preserve column labels from the source
.dta file. Inspired by @shannonpileggi; sample code from
@lefkiospaikousis (#35).get_les() and get_hvw_data(), preserve
the st_name column for non-voting members of the House
(i.e., members from D.C. and U.S. territories) (#32).get_les() and get_hvw_data() see minor
optimizations/speed improvements in their internal data cleaning
processes.get_voteview_*() functions, download data in
parallel (using {furrr}) when downloading online data for multiple
Congresses (#19, #21).get_voteview_parties() and
get_voteview_rollcall_votes() with
length(congress) > 1, only do Congress-by-Congress
reading when downloading data from online (i.e., when
local_path is NULL).
get_voteview_members() and
get_voteview_member_votes() already used the correct
behavior.local_path (#17).
Here is some example usage of the local_path argument,
including the ability to filter local files:
## download large dataset
all_members <- get_voteview_members()
nrow(all_members) # 51036
levels(all_members$chamber) # "President" "House" "Senate"
range(all_members$congress) # 1 119 (or the `current_congress()`)
## save to local file
tmp_csv <- tempfile(fileext = ".csv")
readr::write_csv(all_members, tmp_csv)
## read data from local file - much faster than downloading from online!
local_members <- get_voteview_members(local_path = tmp_csv)
nrow(local_members) # 51036
## read smaller datasets from the local file
senators <- get_voteview_members(chamber = "sen", local_path = tmp_csv)
nrow(senators) # 10125
levels(senators$chamber) # "President" "Senate"
congresses_100_to_110 <- get_voteview_members(congress = 100:110,
local_path = tmp_csv)
nrow(congresses_100_to_110) # 6008
range(congresses_100_to_110$congress) # 100 110
house_117 <- get_voteview_members(chamber = "hr", congress = 117,
local_path = tmp_csv)
nrow(house_117) # 457
levels(house_117$chamber) # "President" "House"
range(house_117$congress) # 117 117congress now
produces an error, instead of silently returning data for all
Congresses.get_les(), returned data frames now use more
specific column types, such as integer for count data and logical for
binary data (#10).
state,
st_name) and LES scores relative to expectation (columns
expectation, expectation1,
expectation2) are now factor variables.get_voteview_members(): fix factor levels in the
state_abbrev column.get_les(), 0- or 1-character strings for
bioname are converted to NA.get_voteview_cast_codes() provides the cast codes
used in Voteview’s member votes data (#13).read_html_table() for reading HTML tables from
online. It’s a nice shortcut for a common {rvest} workflow that
otherwise takes 3 functions. read_html_table() was
previously an internal function, but it’s useful enough that I think it
should be exported, even if it’s not a core functionality of {filibustr}
(#20).cli::cli_abort()
(#9).get_lhy_data() has been renamed to
get_hvw_data().get_voteview_*(), chamber and
congress now come before local and
local_dir. This matches the argument order in
get_hvw_data() (#3).get_les() retrieves Legislative
Effectiveness Scores data from the Center for Effective Lawmaking
(#5).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.