An R interface to the Huffington Post Pollster API, which provides
a programmatic interface to political polls.
c(person("Jeffrey B.", "Arnold", email = "jeffrey.arnold@gmail.com",
role = c("aut", "cre")),
person("Thomas J.", "Leeper", role = c("aut"),
email = "thosjleeper@gmail.com"))
Jeffrey B. Arnold [aut, cre],
Thomas J. Leeper [aut]

An R interface to the Huffington Post Pollster API, which provides
programmatic interface to political polls.

Client for the HuffPost Pollster API, which provides
access to U.S. opinion polls since 2004.

c(person("Jeffrey B.", "Arnold", email = "jeffrey.arnold@gmail.com",
role = c("aut", "cre")),
person("Thomas J.", "Leeper", role = c("aut"),
email = "thosjleeper@gmail.com"),
person("Drew", "Linzer", role = c("aut")))
knitr, dplyr, ggplot2, rmarkdown, testthat
Jeffrey B. Arnold [aut, cre],
Thomas J. Leeper [aut],
Drew Linzer [aut]

dplyr, httr, jsonlite, purrr, readr, stringr, tibble
knitr, ggplot2, rmarkdown, testthat, tidyr

Client for the HuffPost Pollster API, which provides
access to U.S. polls on elections and political opinion.
jsonlite, knitr, readr, rmarkdown, tidyverse, xml2

dplyr, ggplot2, jsonlite, knitr, readr, rmarkdown, tidyr

Calculate Crosstab and Topline Tables of Weighted Survey Data
Calculate common types of tables for weighted survey data.
Options include topline and (2-way and 3-way) crosstab tables of
categorical or ordinal data as well as summary tables of weighted
numeric variables. Optionally, include the margin of error at
selected confidence intervals including the design effect. The
design effect is calculated as described by
Kish (1965) <doi:10.1002/bimj.19680100122> beginning
on page 257. Output takes the form of tibbles (simple data frames).
This package conveniently handles labelled data, such as that
commonly used by 'Stata' and 'SPSS.' Complex survey design is
not supported at this time.

rcqp, methods, R6, data.table, slam, Matrix, tm, parallel,
foreach, DT
polmineR.sampleCorpus, doParallel, markdown, htmltools, xlsx,
sendmailR, koRpus, chron, knitr, bigmemory, bigtabulate, shiny,
miniUI, rJava
Tools for corpus analysis using the CWB as an efficient backend.
The package offers basic functionality to flexibly create subcorpora and to
carry out and basic statistical operations. Beyond that, it is intended to
serve as an interface to packages implementing advanced statistical
procedures.
'CQI.R' 'CQI.cqpserver.R' 'CQI.perl.R' 'CQI.rcqp.R'
'TermDocumentMatrix_methods.R' 'adjustEncoding_method.R'
'generics.R' 'textstat_class.R' 'bundle_class.R'
'polmineR_package.R' 'partition_class.R'
'partitionBundle_class.R' 'as.DocumentTermMatrix_method.R'
'as.markdown_method.R' 'comp_class.R' 'context_class.R'
'contextBundle_class.R' 'cooccurrences_class.R'
'as.sparseMatrix_method.R' 'as.speeches_method.R'
'blapply_method.R' 'kwic_class.R' 'browse_method.R'
'chisquare_method.R' 'ngrams_method.R' 'compare_method.R'
'contextBundle_methods.R' 'context_method.R'
'cooccurrence_method.R' 'cooccurrencesBundle_methods.R'
'cooccurrencesReshaped_methods.R' 'cooccurrences_method.R'
'cooccurrences_methods.R' 'corpus_method.R'
'dispersion_class.R' 'count_method.R' 'tempcorpus.R'
'cpos_method.R' 'hits_class.R' 'dispersion_method.R'
'dispersion_methods.R' 'dotplot_method.R' 'encoding_method.R'
'enrich_method.R' 'freq_method.R' 'frequencies_method.R'
'getEncoding_method.R' 'getTermFrequencies_method.R'
'getTerms_method.R' 'getTokenStream_method.R'
'highlight_method.R' 'html_method.R' 'html_methods.R'
'kwic_method.R' 'kwic_methods.R' 'll_method.R' 'mail_method.R'
'means_method.R' 'meta_method.R' 'noise_method.R'
'pAttributes_method.R' 'partitionBundle_method.R'
'partitionBundle_methods.R' 'sAttributes2cpos_method.R'
'partition_method.R' 'partition_methods.R' 'plot_method.R'
'pmi_method.R' 'read_method.R' 'registry.R' 'rustyard.R'
'sAttributes_method.R' 'scatterplot_method.R' 'size_method.R'
'tTest.R' 'terms_method.R' 'trim_method.R' 'use_method.R'
'utils.R' 'view_method.R' 'weigh_method.R' 'zzz.R'