(→개요) |
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68번째 줄: | 68번째 줄: | ||
* [[회귀분석]] | * [[회귀분석]] | ||
[[분류: R]] | ==참고== | ||
* https://www.rdocumentation.org/packages/stats/versions/3.6.0/topics/lm | |||
[[분류: R stats]] |
2019년 5월 10일 (금) 20:53 판
1 개요
- R lm()
R
Copy
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
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
Copy
library(MASS)
data(hills)
attach(hills)
md <- lm( time ~ dist + climb)
summary(md)
##
## Call:
## lm(formula = time ~ dist + climb)
##
## Residuals:
## Min 1Q Median 3Q Max
## -16.215 -7.129 -1.186 2.371 65.121
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -8.992039 4.302734 -2.090 0.0447 *
## dist 6.217956 0.601148 10.343 9.86e-12 ***
## climb 0.011048 0.002051 5.387 6.45e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 14.68 on 32 degrees of freedom
## Multiple R-squared: 0.9191, Adjusted R-squared: 0.914
## F-statistic: 181.7 on 2 and 32 DF, p-value: < 2.2e-16
2 같이 보기
3 참고
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