Notes on consolidating Vectorization

Author: devnich

README.org

@@ -621,6 +621,7 @@ cats <- na.omit(cats)
 #+end_src
 
 ** Subsetting data
+*** COMMENT Subsetting and Data Structures are linked to Vectorization; regularize the three
 *** Subset by index
 #+BEGIN_SRC R
 v <- 1:5
@@ -778,19 +779,6 @@ See /scripts/curriculum.Rmd
    }
    #+END_SRC
 
-5. Vectorize your tests
-   #+BEGIN_SRC R
-   x <- 1:4
-
-   if (any(x < 2)) {
-     print("Some x less than 2")
-   }
-
-   if (all(x < 2)){
-     print("All x less than 2")
-   }
-   #+END_SRC
-
 *** Review Subsetting section
 Subsetting is frequently an alternative to if-else statements in R
 
@@ -844,22 +832,35 @@ x + z
    all(a)
    #+end_src
 
-2. Can you detect missing data?
-   #+begin_src R
-   nan_vec <- c(1, 3, NaN)
+2. Vectorize your tests
+   #+BEGIN_SRC R
+   x <- 1:4
 
-   ## Which elements are NaN?
-   is.nan(nan_vec)
+   if (any(x < 2)) {
+     print("Some x less than 2")
+   }
 
-   ## Which elements are not NaN?
-   !is.nan(nan_vec)
+   if (all(x < 2)){
+     print("All x less than 2")
+   }
+   #+END_SRC
 
-   ## Are any elements NaN?
-   any(is.nan(nan_vec))
+3. Can you detect missing data?
+  #+begin_src R
+  nan_vec <- c(1, 3, NaN)
 
-   ## Are all elements NaN?
-   all(is.nan(nan_vec))
-   #+end_src
+  ## Which elements are NaN?
+  is.nan(nan_vec)
+
+  ## Which elements are not NaN?
+  !is.nan(nan_vec)
+
+  ## Are any elements NaN?
+  any(is.nan(nan_vec))
+
+  ## Are all elements NaN?
+  all(is.nan(nan_vec))
+  #+end_src
 
 *** Matrix operations are also element-wise by default
 #+begin_src R