Data Transformation, R

Data Transformation

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'data.frame': 150 obs. of 5 variables: $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ... $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ... $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ... $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ... 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 [1] 3.325508 3.325508 3.325508 3.325508 3.325508 3.177822 Call: lm(formula = Sepal.Width^Trans ~ Petal.Width) Residuals: Min 1Q Median 3Q Max -0.43393 -0.08438 -0.00148 0.08841 0.40230 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 2.00987 0.02294 87.619 < 2e-16 *** Petal.Width -0.07501 0.01616 -4.642 7.54e-06 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.1503 on 148 degrees of freedom Multiple R-squared: 0.1271, Adjusted R-squared: 0.1212 F-statistic: 21.55 on 1 and 148 DF, p-value: 7.54e-06