More on model building

Including some needed material in model-basics

extra/heights.Rmd

@@ -299,30 +299,6 @@ tibble(education = seq(5, 25)) %>%
 ```
 
 
-Other useful arguments to `seq_range()`:
-
-*  `pretty = TRUE` will generate a "pretty" sequence, i.e. something that looks
-    nice to the human eye. This is useful if you want to produce tables of 
-    output:
-    
-    ```{r}
-    seq_range(c(0.0123, 0.923423), n = 5)
-    seq_range(c(0.0123, 0.923423), n = 5, pretty = TRUE)
-    ```
-    
-*   `trim = 0.1` will trim off 10% of the tail values. This is useful if the 
-    variables has an long tailed distribution and you want to focus on generating
-    values near the center:
-    
-    ```{r}
-    x <- rcauchy(100)
-    seq_range(x, n = 5)
-    seq_range(x, n = 5, trim = 0.10)
-    seq_range(x, n = 5, trim = 0.25)
-    seq_range(x, n = 5, trim = 0.50)
-    ```
-
-
 ### Additive models