Merge pull request #309 from coding-for-reproducible-research/reformat_regression_r_course

Update Regression course names and add third under active development

Author: liamjberrisford

_static/multiple_regression_hyperplane.html

@@ -282,8 +282,8 @@ <h1></h1>
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Introduction to Regression with R", "label": "Introduction to Regression with R", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Regression with R\nCourse Pre-reqs: Introduction to R\nSubsequent Courses: Regression Analysis with R Adapting to Varied Data Types"}, {"color": "#B0B0B0", "id": "Regression Analysis with R Adapting to Varied Data Types", "label": "Regression Analysis with R Adapting to Varied Data Types", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Regression Analysis with R Adapting to Varied Data Types\nCourse Pre-reqs: Introduction to Regression with R\nSubsequent Courses: Advanced Regression Analysis With R "}, {"color": "#B0B0B0", "id": "Advanced Regression Analysis With R ", "label": "Advanced Regression Analysis With R ", "level": 4, "shape": "dot", "size": 10, "title": "Course Name: Advanced Regression Analysis With R \nCourse Pre-reqs: Regression Analysis with R Adapting to Varied Data Types\nSubsequent Courses: None"}, {"color": "#B0B0B0", "id": "Introduction to R", "label": "Introduction to R", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to R\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Regression with R"}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to Regression with R", "to": "Regression Analysis with R Adapting to Varied Data Types", "width": 1}, {"arrows": "to", "from": "Regression Analysis with R Adapting to Varied Data Types", "to": "Advanced Regression Analysis With R ", "width": 1}, {"arrows": "to", "from": "Introduction to R", "to": "Introduction to Regression with R", "width": 1}]);
+                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Regression Analysis with R Adapting to Varied Data Types", "label": "Regression Analysis with R Adapting to Varied Data Types", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Regression Analysis with R Adapting to Varied Data Types\nCourse Pre-reqs: Introduction to Regression with R\nSubsequent Courses: Advanced Regression Analysis With R "}, {"color": "#B0B0B0", "id": "Advanced Regression Analysis With R ", "label": "Advanced Regression Analysis With R ", "level": 4, "shape": "dot", "size": 10, "title": "Course Name: Advanced Regression Analysis With R \nCourse Pre-reqs: Regression Analysis with R Adapting to Varied Data Types\nSubsequent Courses: None"}, {"color": "#B0B0B0", "id": "Introduction to Regression with R", "label": "Introduction to Regression with R", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Regression with R\nCourse Pre-reqs: Introduction to R\nSubsequent Courses: Regression Analysis with R Adapting to Varied Data Types"}, {"color": "#B0B0B0", "id": "Introduction to R", "label": "Introduction to R", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to R\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Regression with R"}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Regression Analysis with R Adapting to Varied Data Types", "to": "Advanced Regression Analysis With R ", "width": 1}, {"arrows": "to", "from": "Introduction to Regression with R", "to": "Regression Analysis with R Adapting to Varied Data Types", "width": 1}, {"arrows": "to", "from": "Introduction to R", "to": "Introduction to Regression with R", "width": 1}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });

_static/multiple_regression_hyperplane_2.html

@@ -282,8 +282,8 @@ <h1></h1>
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Introduction to Unix", "label": "Introduction to Unix", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Unix\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Version Control with Git and GitHub"}, {"color": "#B0B0B0", "id": "Introduction to Version Control with Git and GitHub", "label": "Introduction to Version Control with Git and GitHub", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Version Control with Git and GitHub\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Intermediate Version Control"}, {"color": "#B0B0B0", "id": "Intermediate Version Control", "label": "Intermediate Version Control", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Intermediate Version Control\nCourse Pre-reqs: Introduction to Version Control with Git and GitHub\nSubsequent Courses: None"}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to Unix", "to": "Introduction to Version Control with Git and GitHub", "width": 1}, {"arrows": "to", "from": "Introduction to Version Control with Git and GitHub", "to": "Intermediate Version Control", "width": 1}]);
+                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Introduction to Version Control with Git and GitHub", "label": "Introduction to Version Control with Git and GitHub", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Version Control with Git and GitHub\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Intermediate Version Control"}, {"color": "#B0B0B0", "id": "Intermediate Version Control", "label": "Intermediate Version Control", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Intermediate Version Control\nCourse Pre-reqs: Introduction to Version Control with Git and GitHub\nSubsequent Courses: None"}, {"color": "#B0B0B0", "id": "Introduction to Unix", "label": "Introduction to Unix", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Unix\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Version Control with Git and GitHub"}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to Version Control with Git and GitHub", "to": "Intermediate Version Control", "width": 1}, {"arrows": "to", "from": "Introduction to Unix", "to": "Introduction to Version Control with Git and GitHub", "width": 1}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });

_static/workshop_prereqs_advanced_regression_analysis_with_r_.html

@@ -282,7 +282,7 @@ <h1></h1>
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": "#FF6347", "id": "Introduction to HPC", "label": "Introduction to HPC", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to HPC\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Parallel Computing"}, {"color": "#FF6347", "id": "Parallel Computing", "label": "Parallel Computing", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Parallel Computing\nCourse Pre-reqs: Introduction to HPC\nSubsequent Courses: None"}, {"color": "#FF6347", "id": "Introduction to Unix", "label": "Introduction to Unix", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Unix\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to HPC, Introduction to Version Control with Git and GitHub"}, {"color": "#FF6347", "id": "Introduction to Version Control with Git and GitHub", "label": "Introduction to Version Control with Git and GitHub", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Version Control with Git and GitHub\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Intermediate Version Control"}, {"color": "#FF6347", "id": "Intermediate Version Control", "label": "Intermediate Version Control", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Intermediate Version Control\nCourse Pre-reqs: Introduction to Version Control with Git and GitHub\nSubsequent Courses: None"}, {"color": "#FF6347", "id": "Introduction to Python", "label": "Introduction to Python", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Python\nCourse Pre-reqs: None\nSubsequent Courses: None"}]);
+                  nodes = new vis.DataSet([{"color": "#4682B4", "id": "Introduction to HPC", "label": "Introduction to HPC", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to HPC\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Parallel Computing"}, {"color": "#4682B4", "id": "Parallel Computing", "label": "Parallel Computing", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Parallel Computing\nCourse Pre-reqs: Introduction to HPC\nSubsequent Courses: None"}, {"color": "#4682B4", "id": "Introduction to Unix", "label": "Introduction to Unix", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Unix\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to HPC, Introduction to Version Control with Git and GitHub"}, {"color": "#4682B4", "id": "Introduction to Version Control with Git and GitHub", "label": "Introduction to Version Control with Git and GitHub", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Version Control with Git and GitHub\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Intermediate Version Control"}, {"color": "#4682B4", "id": "Intermediate Version Control", "label": "Intermediate Version Control", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Intermediate Version Control\nCourse Pre-reqs: Introduction to Version Control with Git and GitHub\nSubsequent Courses: None"}, {"color": "#4682B4", "id": "Introduction to Python", "label": "Introduction to Python", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Python\nCourse Pre-reqs: None\nSubsequent Courses: None"}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to HPC", "to": "Parallel Computing", "width": 1}, {"arrows": "to", "from": "Introduction to Unix", "to": "Introduction to HPC", "width": 1}, {"arrows": "to", "from": "Introduction to Unix", "to": "Introduction to Version Control with Git and GitHub", "width": 1}, {"arrows": "to", "from": "Introduction to Version Control with Git and GitHub", "to": "Intermediate Version Control", "width": 1}]);
 
                   nodeColors = {};

_static/workshop_prereqs_intermediate_version_control.html

@@ -282,7 +282,7 @@ <h1></h1>
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": "#4682B4", "id": "Introduction to Version Control with Git and GitHub", "label": "Introduction to Version Control with Git and GitHub", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Version Control with Git and GitHub\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Intermediate Version Control"}, {"color": "#4682B4", "id": "Intermediate Version Control", "label": "Intermediate Version Control", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Intermediate Version Control\nCourse Pre-reqs: Introduction to Version Control with Git and GitHub\nSubsequent Courses: None"}, {"color": "#4682B4", "id": "Introduction to Unix", "label": "Introduction to Unix", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Unix\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Version Control with Git and GitHub"}, {"color": "#4682B4", "id": "Introduction to Python", "label": "Introduction to Python", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Python\nCourse Pre-reqs: None\nSubsequent Courses: Python for Data Analysis, Using Markdown for Python"}, {"color": "#4682B4", "id": "Python for Data Analysis", "label": "Python for Data Analysis", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Python for Data Analysis\nCourse Pre-reqs: Introduction to Python\nSubsequent Courses: Introduction to Machine Learning"}, {"color": "#4682B4", "id": "Using Markdown for Python", "label": "Using Markdown for Python", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Using Markdown for Python\nCourse Pre-reqs: Introduction to Python\nSubsequent Courses: None"}, {"color": "#4682B4", "id": "Introduction to Machine Learning", "label": "Introduction to Machine Learning", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Machine Learning\nCourse Pre-reqs: Python for Data Analysis\nSubsequent Courses: None"}]);
+                  nodes = new vis.DataSet([{"color": "#FF6347", "id": "Introduction to Version Control with Git and GitHub", "label": "Introduction to Version Control with Git and GitHub", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Version Control with Git and GitHub\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Intermediate Version Control"}, {"color": "#FF6347", "id": "Intermediate Version Control", "label": "Intermediate Version Control", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Intermediate Version Control\nCourse Pre-reqs: Introduction to Version Control with Git and GitHub\nSubsequent Courses: None"}, {"color": "#FF6347", "id": "Introduction to Unix", "label": "Introduction to Unix", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Unix\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Version Control with Git and GitHub"}, {"color": "#FF6347", "id": "Introduction to Python", "label": "Introduction to Python", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Python\nCourse Pre-reqs: None\nSubsequent Courses: Python for Data Analysis, Using Markdown for Python"}, {"color": "#FF6347", "id": "Python for Data Analysis", "label": "Python for Data Analysis", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Python for Data Analysis\nCourse Pre-reqs: Introduction to Python\nSubsequent Courses: Introduction to Machine Learning"}, {"color": "#FF6347", "id": "Using Markdown for Python", "label": "Using Markdown for Python", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Using Markdown for Python\nCourse Pre-reqs: Introduction to Python\nSubsequent Courses: None"}, {"color": "#FF6347", "id": "Introduction to Machine Learning", "label": "Introduction to Machine Learning", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Machine Learning\nCourse Pre-reqs: Python for Data Analysis\nSubsequent Courses: None"}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to Version Control with Git and GitHub", "to": "Intermediate Version Control", "width": 1}, {"arrows": "to", "from": "Introduction to Unix", "to": "Introduction to Version Control with Git and GitHub", "width": 1}, {"arrows": "to", "from": "Introduction to Python", "to": "Python for Data Analysis", "width": 1}, {"arrows": "to", "from": "Introduction to Python", "to": "Using Markdown for Python", "width": 1}, {"arrows": "to", "from": "Python for Data Analysis", "to": "Introduction to Machine Learning", "width": 1}]);
 
                   nodeColors = {};

_static/workshops_network_hpc.html

@@ -197,6 +197,7 @@ parts:
                   - file: individual_modules/advanced_regression_analysis_with_R/advanced_regression_analysis_with_R_summary
                   - file: individual_modules/advanced_regression_analysis_with_R/advanced_regression_analysis_with_R_extras
                   - file: individual_modules/advanced_regression_analysis_with_R/resources
+              - file: individual_modules/section_landing_pages/mixed_effects_regression_with_R
               - file: individual_modules/section_landing_pages/working_with_data_in_R
                 sections:
                   - file: individual_modules/working_with_data_in_R/introducing_tidyverse

_static/workshops_network_python_ds.html

@@ -45,23 +45,30 @@
     "\n",
     "The course introduces students to using RStudio for writing scripts and executing R commands, emphasizing the importance of various data types and object structures for effective data storage. Participants will learn how to read, manipulate, and save data, visualize it through commonly used figures, and perform basic inferential statistical tests. Additionally, the course covers fundamental programming terminology and concepts, such as variables, functions, and for loops, which are transferable to other programming languages.\n",
     "\n",
-    "## Regression Analysis with R Self Study Notes\n",
+    "## Introduction to Regression with R\n",
     "\n",
     "[Clickable Link to Self Study Notes](../individual_modules/section_landing_pages/regression_analysis_with_R.md)\n",
     "\n",
     "The course provides a thorough understanding of regression analysis, including the types of questions it can address and the principles behind different regression models. Students will learn to fit both linear and logistic regression models with multiple predictor variables, as well as extract and summarize results from a variety of regression analyses. Additionally, the course emphasizes designing regression models that are tailored to specific research questions, ensuring that students can apply these techniques effectively in their own studies.\n",
     "\n",
-    "## Advanced Regression Analysis with R Self Study Notes\n",
+    "## Regression Analysis in R: Adapting to Varied Data Types\n",
     "\n",
     "[Clickable Link to Self Study Notes](../individual_modules/section_landing_pages/advanced_regression_analysis_with_R.md)\n",
     "\n",
     "The course equips students to use regression analysis to address a wide range of research questions, including fitting models with interactions between predictor variables and multi-level regression models. Participants will learn to extract and summarize results from various regression models, ensuring they can effectively interpret and communicate their findings. Additionally, the course emphasizes designing regression models tailored to specific research questions, enabling students to apply these techniques accurately in their own studies.\n",
     "\n",
+    "## Mixed Effects Regression with R\n",
+    "\n",
+    "[Clickable Link to Self Study Notes](../individual_modules/section_landing_pages/mixed_effects_regression_with_R.md)\n",
+    "\n",
+    "The course equips students to model complex, grouped data using mixed effects regression in R, building on their foundational regression skills. Participants will learn to fit and interpret multi-level models that incorporate both fixed and random effects, enabling thorough analysis of data with hierarchical structures. Emphasis is placed on extracting, summarizing, and clearly communicating results from mixed effects models, empowering students to apply these techniques accurately to their own research questions.\n",
+    "\n",
     "## Working With Data in R Self Study Notes\n",
     "\n",
     "[Clickable Link to Self Study Notes](../individual_modules/section_landing_pages/working_with_data_in_R.md)\n",
     "\n",
-    "The course introduces the principles of the ‘tidy’ data format, a widely recognized convention for structuring data, and teaches how to read tabular data from files into dataframes. Students will learn to manipulate datasets by creating new variables, filtering, summarizing, sorting, joining multiple datasets, and reshaping data, as well as working with strings and dates when time permits. Additionally, the course provides hands-on experience with R notebooks for conducting and documenting data analysis effectively."
+    "The course introduces the principles of the ‘tidy’ data format, a widely recognized convention for structuring data, and teaches how to read tabular data from files into dataframes. Students will learn to manipulate datasets by creating new variables, filtering, summarizing, sorting, joining multiple datasets, and reshaping data, as well as working with strings and dates when time permits. Additionally, the course provides hands-on experience with R notebooks for conducting and documenting data analysis effectively.\n",
+    "\n"
    ]
   }
  ],