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58 lines
1.5 KiB
R
Executable File
58 lines
1.5 KiB
R
Executable File
auto = read.table("auto.data",header=T,na.strings="?")
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auto
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attach(auto)
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horsepower
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plot(mpg ~ horsepower)
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fit = lm(mpg ~ horsepower)
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fit
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summary(fit)
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lines(fit)
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abline(fit)
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abline(fit,col="red")
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plot(mpg ~ horsepower,pch="x")
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abline(fit,col="red")
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abline(fit,col="red",size="2")
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abline(fit,col="red",lt="2")
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help(abline)
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abline(fit,col="red",lwd="2")
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abline(fit,col="red",lwd="4")
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summary(lm)
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summary(fit)
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help(predict)
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predict(fit,horsepower=98)
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predict(fit)
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predict(fit,98)
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predict(fit[98])
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help(predict)
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help(predict.lm)
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predict(lm(mpg ~ 98)
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predict(lm(mpg ~ horsepower)
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predict(lm(mpg ~ 98))
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pre
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predict(fit,data.frame(p=98(
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predict(fit,data.frame(p=98))
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predict(fit,data.frame(p=c(98)))
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predict(fit,data.frame(p=c(98)),interval="confidence")
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predict(fit,data.frame(horesepower=c(98)),interval="confidence")
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predict(fit,interval="confidence")
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fit
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predict(fit,data.frame(c(98))interval="confidence")
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predict(fit,data.frame(p=c(98))interval="confidence")
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predict(fit,data.frame(p=c(98)),interval="confidence")
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predict(fit,data.frame(p=c(98)),interval="confidence")
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names(fit)
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coef(fit)
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confint(fit)
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predict(fit,data.frame(horsepower=c(1,98)),interval="confidence")
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predict(fit,data.frame(horsepower=c(98)),interval="confidence")
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predict(fit,data.frame(horsepower=98),interval="confidence")
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predict(fit,data.frame(horsepower=98),interval="prediction")
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dev.print(pdf,"mpg_horsepower_regression.pdf")
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plot(fit)
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par(mfrow=c(2,2))
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plot(fit)
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dev.print(pdf,"fit_quality.pdf")
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save
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save()
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q()
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