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# Chapter 4: Making Comparisons
library(poliscidata)  # Loads R companion package in session

# MEAN COMPARISON ANALYSIS

cat("Mean Comparison Table:\n")
compmeans(nes$ft_hclinton, nes$pid_x, nes$wt, plot=F)

plotmeansC(nes, ~ft_hclinton, ~pid_x, ft_hclinton ~ pid_x, w = ~wt,
           xlab="Party identification", ylab="Ratings of Hillary Clinton",
           main="Ratings of Hillary Clinton,\n by Party Identification")

Watch & Learn

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From David Caughlin (11:51).

Setting a Working Directory

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Simple way to create frequency distribution tables and bar charts for nominal and ordinal-level variables, from Barry Edwards (14:23).

How to Use RCPA3's freqC Function for Frequency Distribution Tables and Bar Charts

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