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

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Documentation for package ‘poliscidata’ version 2.3.0

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AdjR2 Calculates adjusted R-Squared statistic
available.imported.functions Imported Functions Made Available to Users
CI95 Calculates a 95 Percent Confidence Interval
CI99 Calculates a 99 Percent Confidence Interval
Colors Displays R Colors
colPercents Column Percentages
compADPQ Calculates a statistic for measure of association in cross-tabulation
compmeans Imported Functions Made Available to Users
CramersV Calculates Cramer's V
crosstab Imported Functions Made Available to Users
csv.get Imported Functions Made Available to Users
cut2 Imported Functions Made Available to Users
ddply Imported Functions Made Available to Users
describe Imported Functions Made Available to Users
fit.svyglm Calculates model fit statistics for a svyglm weighted regression model
freq Imported Functions Made Available to Users
freqC Generates table and figure describing distribution of variable values.
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
imeansC Controlled Mean Comparison Table
inverse.logit Calculates predicted probability for a given logged odds value
iplotC Interaction plot
lineType Displays line types for R plots
logregR2 Logistic regression model statistics
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
orci Translate logistic regression coefficients into odds ratios
pchisqC Comparing Logistic Regression Models with Chi-Squared Test
plotChar Displays plotting characters available in R
plotmeans Imported Functions Made Available to Users
plotmeansC Plots mean comparison
printC Prints html-ready table to local working directory
prop.testC Difference of Proportions Test
quickConsolePrint Prints string to console quickly
scatterplot Imported Functions Made Available to Users
SetTextContrastColor Sets contrasting color for text
slowConsolePrint Prints string to console slowly
somersD Calculates Somer's D
sortC Returns case-level information in order
spss.get Imported Functions Made Available to Users
stata.get Imported Functions Made Available to Users
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
svyboxplot Imported Functions Made Available to Users
svyby Imported Functions Made Available to Users
svybyC Computes summary statistics
svychisq Imported Functions Made Available to Users
svychisqC Chi-Squared Statistic for Relationship Between Categorical Variables using Weighted Dataset
svydesign Imported Functions Made Available to Users
svyglm Imported Functions Made Available to Users
svymean Imported Functions Made Available to Users
svyplot Imported Functions Made Available to Users
svytable Imported Functions Made Available to Users
tablesomersDC Produces summary statistics
welcome Function to Introduce Users to R Companion Environment
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
wtd.boxplot Weighted Box Plot
wtd.chi.sq Imported Functions Made Available to Users
wtd.cor Imported Functions Made Available to Users
wtd.hist Imported Functions Made Available to Users
wtd.mean Imported Functions Made Available to Users
wtd.median Find Median of Variable
wtd.mode Find Mode of Variable
wtd.quantile Imported Functions Made Available to Users
wtd.sd Find Standard Deviation of Variable
wtd.t.test Imported Functions Made Available to Users
wtd.ttestC Weighted T-Test
wtd.var Imported Functions Made Available to Users
xtabC Controlled cross tabulation analysis with optional weights
xtp Cross tabulation Analysis
xtp.chi2 Cross tabulation Analysis with Chi-Squared Statistic