Package: poliscidata 2.3.0

Barry Edwards

poliscidata: Datasets and Functions Featured in Pollock and Edwards, an R Companion to Essentials of Political Analysis, Second Edition

Bundles the datasets and functions used in the textbook by Philip Pollock and Barry Edwards, an R Companion to Essentials of Political Analysis, Second Edition.

Authors:Barry Edwards and Philip Pollock

poliscidata_2.3.0.tar.gz
poliscidata_2.3.0.tar.gz(r-4.5-noble)poliscidata_2.3.0.tar.gz(r-4.4-noble)
poliscidata_2.3.0.tgz(r-4.4-emscripten)poliscidata_2.3.0.tgz(r-4.3-emscripten)
poliscidata.pdf |poliscidata.html
poliscidata/json (API)
NEWS

# Install 'poliscidata' in R:
install.packages('poliscidata', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • gss - GSS dataset for R Companion to Essentials of Political Analysis, Second Edition
  • gssD - GSS design dataset for R Companion to Essentials of Political Analysis, Second Edition
  • nes - NES dataset for R Companion to Essentials of Political Analysis, Second Edition
  • nesD - NES design dataset for R Companion to Essentials of Political Analysis, Second Edition
  • states - States dataset for R Companion to Essentials of Political Analysis, Second Edition
  • statesD - States design dataset for R Companion to Essentials of Political Analysis, Second Edition
  • world - World dataset for R Companion to Essentials of Political Analysis, Second Edition
  • worldD - World design dataset for R Companion to Essentials of Political Analysis, Second Edition

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

56 exports 0.00 score 130 dependencies 183 scripts 347 downloads

Last updated 4 years agofrom:b9e71fb808. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 29 2024
R-4.5-linuxOKJul 30 2024

Exports:AdjR2CI95CI99ColorscompmeansCramersVcrosstabcsv.getcut2ddplydescribefit.svyglmfreqfreqCimeansCinverse.logitiplotClineTypelogregR2orcipchisqCplotCharplotmeansplotmeansCprintCprop.testCscatterplotsomersDsortCspss.getstata.getsvyboxplotsvybysvychisqsvychisqCsvydesignsvyglmsvymeansvyplotsvytablewelcomewtd.boxplotwtd.chi.sqwtd.corwtd.histwtd.meanwtd.medianwtd.modewtd.quantilewtd.sdwtd.t.testwtd.ttestCwtd.varxtabCxtpxtp.chi2

Dependencies:abindbackportsbase64encbitbit64bitopsbootbroombslibcachemcarcarDatacaToolscheckmateclicliprclustercodetoolscolorspacecowplotcpp11crayondata.tableDBIDerivdescrdigestdoBydplyrevaluatefansifarverfastmapfontawesomeforcatsforeachforeignFormulafsgdatagenericsggplot2glmnetgluegplotsgridExtragtablegtoolshavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsisobanditeratorsjomojquerylibjsonliteKernSmoothknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicemicrobenchmarkmimeminqamitmlmitoolsmodelrmunsellnlmenloptrnnetnumDerivordinalpanpbkrtestpillarpkgconfigplotrixplyrprettyunitsprogresspurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreadrrlangrmarkdownrpartrstudioapisassscalesshapeSparseMstringistringrsurveysurvivaltibbletidyrtidyselecttinytextzdbucminfutf8vctrsviridisviridisLitevroomweightswithrxfunxtableyaml

Readme and manuals

Help Manual

Help pageTopics
Calculates adjusted R-Squared statisticAdjR2
Imported Functions Made Available to Usersavailable.imported.functions compmeans crosstab csv.get cut2 ddply describe freq plotmeans scatterplot spss.get stata.get svyboxplot svyby svychisq svydesign svyglm svymean svyplot svytable wtd.chi.sq wtd.cor wtd.hist wtd.mean wtd.quantile wtd.t.test wtd.var
Calculates a 95 Percent Confidence IntervalCI95
Calculates a 99 Percent Confidence IntervalCI99
Displays R ColorsColors
Column PercentagescolPercents
Calculates a statistic for measure of association in cross-tabulationcompADPQ
Calculates Cramer's VCramersV
Calculates model fit statistics for a svyglm weighted regression modelfit.svyglm
Generates table and figure describing distribution of variable values.freqC
GSS dataset for R Companion to Essentials of Political Analysis, Second Editiongss
GSS design dataset for R Companion to Essentials of Political Analysis, Second EditiongssD
Controlled Mean Comparison TableimeansC
Calculates predicted probability for a given logged odds valueinverse.logit
Interaction plotiplotC
Displays line types for R plotslineType
Logistic regression model statisticslogregR2
NES dataset for R Companion to Essentials of Political Analysis, Second Editionnes
NES design dataset for R Companion to Essentials of Political Analysis, Second EditionnesD
Translate logistic regression coefficients into odds ratiosorci
Comparing Logistic Regression Models with Chi-Squared TestpchisqC
Displays plotting characters available in RplotChar
Plots mean comparisonplotmeansC
Prints html-ready table to local working directoryprintC
Difference of Proportions Testprop.testC
Prints string to console quicklyquickConsolePrint
Sets contrasting color for textSetTextContrastColor
Prints string to console slowlyslowConsolePrint
Calculates Somer's DsomersD
Returns case-level information in ordersortC
States dataset for R Companion to Essentials of Political Analysis, Second Editionstates
States design dataset for R Companion to Essentials of Political Analysis, Second EditionstatesD
Computes summary statisticssvybyC
Chi-Squared Statistic for Relationship Between Categorical Variables using Weighted DatasetsvychisqC
Produces summary statisticstablesomersDC
Function to Introduce Users to R Companion Environmentwelcome
World dataset for R Companion to Essentials of Political Analysis, Second Editionworld
World design dataset for R Companion to Essentials of Political Analysis, Second EditionworldD
Weighted Box Plotwtd.boxplot
Find Median of Variablewtd.median
Find Mode of Variablewtd.mode
Find Standard Deviation of Variablewtd.sd
Weighted T-Testwtd.ttestC
Controlled cross tabulation analysis with optional weightsxtabC
Cross tabulation Analysisxtp
Cross tabulation Analysis with Chi-Squared Statisticxtp.chi2