data(iris)
head(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
names(iris)
## [1] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" "Species"
names(iris)<-tolower(names(iris))
names(iris)
## [1] "sepal.length" "sepal.width" "petal.length" "petal.width" "species"
names(iris)<-c('sl','sw','pl','pw','sp')
head(iris)
## sl sw pl pw sp
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
m2<-lm(sl~.,data=iris)
summary(m2)
##
## Call:
## lm(formula = sl ~ ., data = iris)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.79424 -0.21874 0.00899 0.20255 0.73103
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.17127 0.27979 7.760 1.43e-12 ***
## sw 0.49589 0.08607 5.761 4.87e-08 ***
## pl 0.82924 0.06853 12.101 < 2e-16 ***
## pw -0.31516 0.15120 -2.084 0.03889 *
## spversicolor -0.72356 0.24017 -3.013 0.00306 **
## spvirginica -1.02350 0.33373 -3.067 0.00258 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3068 on 144 degrees of freedom
## Multiple R-squared: 0.8673, Adjusted R-squared: 0.8627
## F-statistic: 188.3 on 5 and 144 DF, p-value: < 2.2e-16
options(scipen=999)