R lm()

(R언어 lm()에서 넘어옴)

1 개요[ | ]

R lm()
  • "Linear Models → 선형 모델"
R
CPU
2.5s
MEM
115M
3.0s
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x <- c(151, 174, 138, 186, 128, 136, 179, 163, 152, 131)
y <- c(63, 81, 56, 91, 47, 57, 76, 72, 62, 48)
relation <- lm(y~x)
relation
Call:
lm(formula = y ~ x)

Coefficients:
(Intercept)            x  
   -38.4551       0.6746  
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summary(relation)
Call:
lm(formula = y ~ x)

Residuals:
    Min      1Q  Median      3Q     Max 
-6.3002 -1.6629  0.0412  1.8944  3.9775 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -38.45509    8.04901  -4.778  0.00139 ** 
x             0.67461    0.05191  12.997 1.16e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.253 on 8 degrees of freedom
Multiple R-squared:  0.9548,	Adjusted R-squared:  0.9491 
F-statistic: 168.9 on 1 and 8 DF,  p-value: 1.164e-06
R
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summary(lm(Fertility ~ ., data=swiss))
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R
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library(MASS)
data(hills)
attach(hills)
md <- lm( time ~ dist + climb)
summary(md)
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fit4 <- lm(Fertility ~ Agriculture + Education + Catholic + Infant.Mortality, data = swiss)
summary(fit4)
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data(state)
statdata <- data.frame(state.x77,row.names=state.abb)
g3 <- lm(Life.Exp ~ Illiteracy, data=statdata) 
summary(g3)
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m <- lm(dist ~ speed, data=cars)
summary(m)
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2 같이 보기[ | ]

3 참고[ | ]