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1500 count 1000 500 DeathPenalty Favor Oppose 0 Favor Oppose NA DeathPenalty (b) Use the table command and the summary command in R on the gun ownership variable. additional information does the summary command give that the table command does not What table(GSS$OwnGun) No Refused Yes 605 9 310 summary((GSS$OwnGun)) No Refused Yes NA's 605 9 310 1841 The summary command shows the number (1841) of missing values. (c) Create a contingency table comparing responses to the death penalty to the question about gun ownership. T2
No 0.6533 0.3467 Refused 0.7778 0.2222 Yes 0.8046 0.1954 plot(GSS$DeathPenalty, GSS$OwnGun, col = c("red", "green", "blue")) y No Refused Yes Favor Oppose 0.0 0.2 0.4 0.6 0.8 1.0 x with(data = GSS, plot(OwnGun, DeathPenalty, col = c("red", "green", "blue"))) y Favor Oppose No Refused 0.0 0.2 0.4 0.6 0.8 1.0 x A nice alternative for creating mosaic plots is to use the mosaic() function from the vcd package. 9
Page 1 and 2: Homework 1 Partial Solution Created
Page 3 and 4: 0 200 600 1000 4-8am 4-8pm 8-Mid 8-
Page 5 and 6: (c) Create side-by-side boxplots of
Page 7: (a) Create a table and a bar chart
Page 11 and 12: OwnGun No Refused Yes Pearson resid
Page 13 and 14: # Using ggplot2 p
Page 15 and 16: 60 50 Ht.change 10 20 30 40 50 Ht.c
Page 17 and 18: Normal Q-Q Plot Histogram of rs Sam
Page 19 and 20: Normal Q-Q Plot Histogram of rs Sam

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