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# To create a scatter plot with the graphics package,
# call plot with two dataframe columns
plot(faithful$waiting,
faithful$eruptions,
main = "Using plot",
xlab = "waiting time (min)",
ylab = "eruption time (min)")
# The arguments pch, col, and cex modify the marker's shape, color, and size
plot(faithful$waiting,
faithful$eruptions,
pch = 17,
col = 2,
cex = 1.2,
main = "Specifying pch, col, and cex",
xlab = "waiting times (min)",
ylab = "eruption time (min)")
# Distinguish the points based on the value of another dataframe column
plot(mtcars$hp,
mtcars$mpg,
pch = mtcars$am,
cex = 1.2,
main = "MPG vs. HP by Transmission",
xlab = "horsepower",
ylab = "miles per gallon")
legend("topright", c("automatic", "manual"), pch = c(0, 1))
# Using qplot
qplot(x = waiting,
y = eruptions,
data = faithful,
main = "Using qplot - Waiting Times (sec) vs. Eruptions (min)")
# The graph below shows a scatter plot of car weights vs mpg
qplot(x = wt,
y = mpg,
data = mtcars,
main = "Using qplot - MPG vs. Weight (x1000 lbs)")
# Denoting the number of cylinders by size using the size argument
qplot(x = wt,
y = mpg,
data = mtcars,
size = cyl,
main = "Using qplot with Size - MPG vs. Weight (x1000 lbs) by Cylinder")
# Alternatively, color can be used to encode the number of cylinders
qplot(x = wt,
y = mpg,
data = mtcars,
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