Code
td_rd <- tidy(fit_rd, conf.int = TRUE)
Condition
Warning in `qt()`:
NaNs produced
Code
augment(fit, newdata = mtcars, interval = "confidence", level = 0.95)
Condition
Warning:
The `level` argument is not supported in the `augment()` method for `lm` objects and will be ignored.
Output
# A tibble: 32 x 16
.rownames mpg cyl disp hp drat wt qsec vs am gear carb
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Mazda RX4 21 6 160 110 3.9 2.62 16.5 0 1 4 4
2 Mazda RX4 ~ 21 6 160 110 3.9 2.88 17.0 0 1 4 4
3 Datsun 710 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
4 Hornet 4 D~ 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
5 Hornet Spo~ 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
6 Valiant 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
7 Duster 360 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
8 Merc 240D 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
9 Merc 230 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
10 Merc 280 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
# i 22 more rows
# i 4 more variables: .fitted <dbl>, .lower <dbl>, .upper <dbl>, .resid <dbl>
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