Created
July 21, 2019 03:51
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Modeling with the iris data set
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| library(broom) # alt to par(mfrow(2,2)); plot(mod) | |
| library(rsample) | |
| library(dplyr) | |
| library(ggplot2) # alt to par(mfrow(2,2)); plot(mod) | |
| set.seed(1492) | |
| ifrac <- initial_split(iris) | |
| iris_test <- testing(ifrac) | |
| iris_trian <- training(ifrac) | |
| f1 <- Petal.Length ~ Sepal.Length | |
| iris_lm_1a <- lm(f1, data = iris) | |
| iris_tidy_1a <- glance(iris_lm_1a) | |
| iris_glance_1a <- tidy(iris_lm_1a) | |
| iris_augment_1a <- augment(iris_lm_1a) | |
| glimpse(iris_tidy_1a) | |
| glimpse(iris_glance_1a) | |
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