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StatisticalAnalysisByR/1.Correllation.r

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library(corrplot)
library(lattice)
a <- mtcars
a
mcor2 <- cor(mtcars$gear, mtcars$carb)
mcor2
xyplot(gear ~ carb, data = mtcars)
lm <- plot(mtcars$gear, mtcars$carb)
abline(lm(mtcars$gear~mtcars$carb))
mcor <- cor(mtcars)
mcor
round(mcor, 2)
corrplot(mcor)
plot(mtcars)
library(ggplot2)
qplot(gear, carb, data = mtcars)
cor(mtcars$wt, mtcars$mpg)
qplot(wt, mpg, data=mtcars, color=factor(carb))