adding lessons for main part of course

Author: btskinner

_assignments_hold/assignment_10.Rmd

@@ -0,0 +1,41 @@
+---
+layout: lesson
+title: Assignment 10
+subtitle: EDH7916
+author: Benjamin Skinner
+order: 10
+category: problemset
+links:
+  pdf: assignment_10.pdf
+output:
+  md_document:
+    variant: gfm
+    preserve_yaml: true
+---
+
+I have been opinionated throughout this course (and in lesson 10 in
+particular) about the best ways to organize a quantitative data
+workflow. Considering all of that, please answer the following two
+questions in a Markdown (`*.md`) or RMarkdown (`*.Rmd`) file, giving
+about half of a page to each answer:
+
+1. What organizational/work flow practice that I _have_ discussed do
+   you think is unnecessary or impractical for daily data analytic
+   tasks? Why? Keep in mind that practice doesn't have to include
+   using R, but could instead mean using SPSS, Excel, _etc_. Also,
+   it's not a trick or gotcha question! I want your (well considered)
+   thoughts.
+1. What organizational/work flow practice have I _not_ included that
+   you think would help reduce error or improve reproducibility? Why?
+
+#### Submission details
+
+- Save your script (`<lastname>_assignment_10.md` or
+  `<lastname>_assignment_10.Rmd`) in your `scripts` directory.
+- Push changes to your repo (the new script and new folder) to GitHub
+  prior to the next class session.
+
+
+
+
+

_assignments_hold/assignment_4.Rmd

@@ -0,0 +1,59 @@
+---
+layout: lesson
+title: Assignment 4
+subtitle: EDH7916
+author: Benjamin Skinner
+order: 4
+category: problemset
+links:
+  pdf: assignment_4.pdf
+output:
+  md_document:
+    variant: gfm
+    preserve_yaml: true
+---
+
+Using the `hsls_small.csv` data set and the online codebook, answer
+the following questions. You **do not** need to save the final output
+as a data file: just having the final result print to the console is
+fine. For each question, I would like you to try to pipe all the
+commands together. Throughout, you **should** account for missing values by
+dropping them.
+
+For each question, show your data work and, if necessary, answer the
+question in a short (1-2 sentence(s)) comment.
+
+## Questions
+
+1. Compute the average test score by region and join back into the
+   full data frame. Next, compute the difference between each
+   student's test score and that of the region. Finally, return the
+   mean of these differences by region.
+1. Compute the average test score by region and family income
+   level. Join back to the full data frame. **HINT** You can join on
+   more than one key.
+1. Select the following variables from the full data set:
+   - `stu_id`
+   - `x1stuedexpct`
+   - `x1paredexpct`
+   - `x4evratndclg`  
+   
+   From this reduced data frame, reshape the data frame so that it is
+   long in educational expectations, meaning that each observation
+   should have two rows, one for each educational expectation type.
+   
+   _e.g. (your column names and values may be different)_
+   
+   | stu_id | expect\_type | expectation | x4evratndclg |
+   |:------:|:------------:|:-----------:|:------------:|
+   | 0001   | x1stuedexpct | 6           | 1            |
+   | 0001   | x1paredexpct | 7           | 1            |
+   | 0002   | x1stuedexpct | 5           | 1            |
+   | 0002   | x1paredexpct | 5           | 1            |
+
+#### Submission details
+
+- Save your script (`<lastname>_assignment_4.R`) in your `scripts`
+  directory.
+- Push changes to your repo (the new script and new folder) to GitHub
+  prior to the next class session.

_assignments_hold/assignment_5.md

@@ -4,7 +4,7 @@ title: Assignment 9
 subtitle: EDH7916
 author: Benjamin Skinner
 order: 9
-category: problemset
+category: supplemental
 links:
   pdf: assignment_9.pdf
 output:
@@ -13,29 +13,41 @@ output:
     preserve_yaml: true
 ---
 
-I have been opinionated throughout this course (and in lesson 10 in
-particular) about the best ways to organize a quantitative data
-workflow. Considering all of that, please answer the following two
-questions in a Markdown (`*.md`) or RMarkdown (`*.Rmd`) file, giving
-about half of a page to each answer:
-
-1. What organizational/work flow practice that I _have_ discussed do
-   you think is unnecessary or impractical for daily data analytic
-   tasks? Why? Keep in mind that practice doesn't have to include
-   using R, but could instead mean using SPSS, Excel, _etc_. Also,
-   it's not a trick or gotcha question! I want your (well considered)
-   thoughts.
-1. What organizational/work flow practice have I _not_ included that
-   you think would help reduce error or improve reproducibility? Why?
-
+Using the `hsls_small.csv` data set and the online code book, answer
+the following questions. You **do not** need to save the final output
+as a data file: just having the final result print to the console is
+fine. For each question, **you must answer using base R commands (no
+tidyverse)**.  You can account for missing values by dropping them.
+
+For each question, show your data work and then answer the question in
+a short (1-2 sentence(s)) comment. (**NOTE:** If you also completed
+assignment 3, your written answers can be similar to what you wrote before.) 
+
+## Questions
+
+1. What is the average standardized math test score?
+1. What is the average standardized math test score by gender?
+1. In what year and month were the oldest students in the data set
+   born? The youngest?
+1. Among those students who are under 185% of the federal poverty line
+   in the base year of the survey, what is the median household income
+   (give the category and what that category reprents).
+1. Of the students who earned a high school credential (diploma or
+   GED), what percentage earned a GED or equivalency? How does this
+   differ by region?
+1. What percentage of students ever attended a postsecondary
+   institution by February 2016? Give the cross tabulations for:  
+     - family incomes less than or equal to $35,000 and greater than
+       $35,000   
+	 - region  
+	 
+   This means you should have percentages for 8 groups: above/below
+   $35k within each region.   
+  
 #### Submission details
 
-- Save your script (`<lastname>_assignment_10.md` or
-  `<lastname>_assignment_10.Rmd`) in your `scripts` directory.
+- Save your script (`<lastname>_assignment_9.R`) in your `scripts`
+  directory.
 - Push changes to your repo (the new script and new folder) to GitHub
   prior to the next class session.
 
-
-
-
-