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spsanderson · Nov 19, 2024 · e6cc8cc · e6cc8cc
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diff --git a/_freeze/posts/2024-11-19/index/execute-results/html.json b/_freeze/posts/2024-11-19/index/execute-results/html.json
diff --git a/docs/index.html b/docs/index.html
diff --git a/docs/index.xml b/docs/index.xml
diff --git a/docs/listings.json b/docs/listings.json
@@ -2,6 +2,7 @@
   {
     "listing": "/index.html",
     "items": [
+      "/posts/2024-11-19/index.html",
       "/posts/2024-11-18/index.html",
       "/posts/2024-11-15/index.html",
       "/posts/2024-11-14/index.html",

diff --git a/docs/posts/2024-11-19/index.html b/docs/posts/2024-11-19/index.html
@@ -115,7 +115,6 @@
 gtag('js', new Date());
 gtag('config', 'G-JSJCM62KQJ', { 'anonymize_ip': true});
 </script>
-<meta name="quarto:status" content="draft">
 
 
 <link rel="stylesheet" href="../../styles.css">
@@ -132,7 +131,7 @@
 <body class="nav-fixed">
 
 <div id="quarto-search-results"></div>
-  <header id="quarto-header" class="headroom fixed-top quarto-banner"><div id="quarto-draft-alert" class="alert alert-warning"><i class="bi bi-pencil-square"></i>Draft</div>
+  <header id="quarto-header" class="headroom fixed-top quarto-banner">
     <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
       <div class="navbar-container container-fluid">
       <div class="navbar-brand-container mx-auto">

diff --git a/docs/search.json b/docs/search.json
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
@@ -910,7 +910,7 @@
   </url>
   <url>
     <loc>https://www.spsanderson.com/steveondata/index.html</loc>
-    <lastmod>2022-11-16T15:17:41.340Z</lastmod>
+    <lastmod>2023-03-28T12:23:03.885Z</lastmod>
   </url>
   <url>
     <loc>https://www.spsanderson.com/steveondata/about.html</loc>
@@ -1902,6 +1902,6 @@
   </url>
   <url>
     <loc>https://www.spsanderson.com/steveondata/posts/2024-11-19/index.html</loc>
-    <lastmod>2024-11-19T03:15:30.707Z</lastmod>
+    <lastmod>2024-11-19T13:00:41.976Z</lastmod>
   </url>
 </urlset>
diff --git a/posts/2024-11-19/index.qmd b/posts/2024-11-19/index.qmd
@@ -6,7 +6,6 @@ categories: [code, rtip, operations]
 toc: TRUE
 description: "Learn how to efficiently combine two or more vectors in R using base functions like c(), rbind(), cbind(), and data.frame(). Includes practical examples for R programmers."
 keywords: [Programming, Combine vectors in R, R vector concatenation, Merge vectors in R, R vector combination, Combining R vectors, R c() function, R rbind() function, R cbind() function, R data frame from vectors, R vector recycling, How to combine two or more vectors in R, Combining vectors of different lengths in R, Best practices for combining vectors in R, Combining vectors into matrices in R, Creating data frames from multiple vectors in R]
-draft: TRUE
 ---
 
 # Introduction
@@ -101,7 +100,7 @@ print(combined)
 
 ## Type Coercion
 
-R automatically coerces vector elements to a common type when combining vectors. The hierarchy is logical < integer < numeric < character.
+R automatically coerces vector elements to a common type when combining vectors. The hierarchy is logical \< integer \< numeric \< character.
 
 ```{r}
 # Combining different types 
@@ -113,9 +112,9 @@ print(mixed_vec)
 
 # Best Practices for Combining Vectors
 
-1. **Check Vector Types**: Ensure vectors are of compatible types to avoid unexpected coercion.
-2. **Verify Lengths**: Be mindful of vector lengths to prevent recycling issues.
-3. **Use Meaningful Names**: Assign names to vector elements or data frame columns for clarity.
+1.  **Check Vector Types**: Ensure vectors are of compatible types to avoid unexpected coercion.
+2.  **Verify Lengths**: Be mindful of vector lengths to prevent recycling issues.
+3.  **Use Meaningful Names**: Assign names to vector elements or data frame columns for clarity.
 
 # Practical Examples and Use Cases
 
@@ -153,15 +152,16 @@ print(ts_data)
 
 Now that you've learned how to combine vectors in R, it's time to put your knowledge into practice. Try these exercises:
 
-1. Create two numeric vectors of length 5 and combine them into a single vector.
-2. Combine a character vector and a logical vector into a single vector. Observe the type coercion.
-3. Create a 3x3 matrix by combining three vectors using `cbind()` and `rbind()`.
-4. Combine two vectors of different lengths into a data frame and see how R recycles the shorter vector.
+1.  Create two numeric vectors of length 5 and combine them into a single vector.
+2.  Combine a character vector and a logical vector into a single vector. Observe the type coercion.
+3.  Create a 3x3 matrix by combining three vectors using `cbind()` and `rbind()`.
+4.  Combine two vectors of different lengths into a data frame and see how R recycles the shorter vector.
 
 <details>
+
 <summary>Click here for the solutions</summary>
 
-1. Combining numeric vectors:
+1.  Combining numeric vectors:
 
 ```{r}
 vec1 <- c(1, 2, 3, 4, 5)
@@ -170,7 +170,7 @@ combined <- c(vec1, vec2)
 print(combined)
 ```
 
-2. Combining character and logical vectors:
+2.  Combining character and logical vectors:
 
 ```{r}
 char_vec <- c("a", "b", "c")
@@ -179,7 +179,7 @@ combined <- c(char_vec, logical_vec)
 print(combined)
 ```
 
-3. Creating a 3x3 matrix:
+3.  Creating a 3x3 matrix:
 
 ```{r}
 vec1 <- c(1, 2, 3)
@@ -191,14 +191,15 @@ print(matrix_cbind)
 print(matrix_rbind)
 ```
 
-4. Combining vectors of different lengths into a data frame:
+4.  Combining vectors of different lengths into a data frame:
 
 ```{R}
 short_vec <- c(1, 2)
 long_vec <- c("a", "b", "c", "d")
 df <- data.frame(Numbers = short_vec, Letters = long_vec)
 print(df)
 ```
+
 </details>
 
 # Conclusion
@@ -207,11 +208,11 @@ Combining vectors in R is a crucial skill for data manipulation and analysis. By
 
 # Quick Takeaways
 
-- Use `c()` to combine vectors into a single vector
-- Use `rbind()` and `cbind()` to create matrices from vectors
-- Use `data.frame()` to convert vectors into a data frame
-- Be aware of vector recycling when combining vectors of different lengths
-- Coercion hierarchy: logical < integer < numeric < character
+-   Use `c()` to combine vectors into a single vector
+-   Use `rbind()` and `cbind()` to create matrices from vectors
+-   Use `data.frame()` to convert vectors into a data frame
+-   Be aware of vector recycling when combining vectors of different lengths
+-   Coercion hierarchy: logical \< integer \< numeric \< character
 
 With this comprehensive guide and practical examples, you're now equipped with the knowledge to handle various vector combination tasks in R. Keep practicing these techniques to become a proficient R programmer!