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Fixing some typos #6

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Fixing some typos #6

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d1df30e
Fix typos for Chapter 3 script
reowen Jan 6, 2018
5198804
Fix Chapter 3 typos
reowen Jan 6, 2018
d455856
Fix Chap 3 typos
reowen Jan 6, 2018
576e38e
Fix chapter 2 typos
reowen Jan 6, 2018
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2 changes: 1 addition & 1 deletion scripts/Chap2.introduction.R
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Original file line number Diff line number Diff line change
Expand Up @@ -132,7 +132,7 @@ Age <- 19 : 29
HR.Rates <- hr.rates(Age, HR, AB)
Mantle <- cbind(Age, HR, AB, Rates=HR.Rates$y)

write.csv(Mantle, "..\output\mantle.csv", row.names=FALSE)
write.csv(Mantle, "../output/mantle.csv", row.names=FALSE)

# Section 2.7 Data Frames

Expand Down
12 changes: 6 additions & 6 deletions scripts/Chap3.graphics.R
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Expand Up @@ -16,7 +16,7 @@ hof$MidCareer <- with(hof, (From + To) / 2)

hof$Era <- cut(hof$MidCareer,
breaks = c(1800, 1900, 1919, 1941, 1960, 1976, 1993, 2050),
labels = c("19th Century", "Lively Ball", "Dead Ball",
labels = c("19th Century", "Dead Ball", "Lively Ball",
"Integration", "Expansion", "Free Agency",
"Long Ball"))

Expand All @@ -42,7 +42,7 @@ barplot(table(hof$Era))
plot(table(hof$Era))
dev.off()

# Section 2.4 Dot plots
# Section 3.4 Dot plots

T.Era <- table(hof$Era)
dotchart(as.numeric(T.Era), labels=names(T.Era), xlab="Frequency")
Expand All @@ -51,7 +51,7 @@ hof.500 <- subset(hof, HR >= 500)
hof.500 <- hof.500[order(hof.500$OPS), ]
dotchart(hof.500$OPS, labels=hof.500$X, xlab="OPS")

# Section 2.5 Numeric Variable: Stripchart and Histogram
# Section 3.5 Numeric Variable: Stripchart and Histogram

windows(width=7, height=3.5)
stripchart(hof$MidCareer, method="jitter", pch=1,
Expand All @@ -63,7 +63,7 @@ hist(hof$MidCareer, xlab="Mid Career", main="")
hist(hof$MidCareer, xlab="Mid Career", main="",
breaks=seq(1880, 2000, by=20))

# Section 2.6 Two Numeric Variables
# Section 3.6 Two Numeric Variables

with(hof, plot(MidCareer, OPS))
with(hof, lines(lowess(MidCareer, OPS, f=0.3)))
Expand Down Expand Up @@ -127,7 +127,7 @@ bonds.info <- getinfo("Barry", "Bonds")
arod.info <- getinfo("Alex", "Rodriguez")
ruth.info

batting <- read.csv("lahman/Batting.csv")
batting <- read.csv("Batting.csv")

ruth.data <- subset(batting, playerID == ruth.info$name.code)
ruth.data$Age <- ruth.data$yearID - ruth.info$byear
Expand Down Expand Up @@ -186,4 +186,4 @@ text(10440, 65, "62")
legend(10440, 20, legend=c("McGwire (70)", "Sosa (66)"),
lwd=2, col=c("black", "grey"))

#########################################################
#########################################################