RECENT ASSIGNMENT

this is R studio assignment for political science class.
Dear helper, each assignment has different dataset. You can use“(1)R for experience walkthrough.rmd” file to do each assignment.
Memo Assignment
What to turn in
You can duplicate this .rmd file and use it as start to your memo or you can start one from scratch.
ASSIGNMENT 1
1) Complete all the unfinished analysis for this dataset (LatinosREPS.dta)
2) Write some brief interpretations (1 to 2 sentences per test.) of the **proportions of experimental conditions by variables of interest**, **Chi-square Tests**, **Randomization Test/Balance Test**, and **Models of Treatment Effects for Dependent Variables**
3) Venture out and replicate only **one** part of this analysis for **one** of the other datasets used in lecture: Read in the data, identify the variables of interest from the codebook (treatment status variable, independent variables, and outcome measures), make the proper Boolean variables for the treatment conditions, and run one of the following tests:*proportions of experimental conditions by variables of interest*, *Chi-square Tests*, *Randomization Test/Balance Test*, and *Models of Treatment Effects for Dependent Variables*
Compile your .rmd file to PDF or html, save it and email me both your **.rmd** and the **PDF** or **html** with this subject heading:
**Section, Full Name, Memo Submission**
Some tips: dont keep anything in the final .rmd file that you dont want printed out unto your PDF or html file. Change the name and title and date of your .rmd file. Edit the Headings and Text to fit what you are doing.
Write all the text for the interpretations underneath each r code chunk for which they correspond to.
ASSIGNMENT 2
1) Complete all the unfinished analysis for this dataset (PoCSolidarityBlacks.dta)
2) Write some brief interpretations (1 to 2 sentences per test.) of the **proportions of experimental conditions by variables of interest**, **Chi-square Tests**, **Randomization Test/Balance Test**, and **Models of Treatment Effects for Dependent Variables**
3) Venture out and replicate only **one** part of this analysis for **one** of the other datasets used in lecture: Read in the data, identify the variables of interest from the codebook (treatment status variable, independent variables, and outcome measures), make the proper Boolean variables for the treatment conditions, and run one of the following tests:*proportions of experimental conditions by variables of interest*, *Chi-square Tests*, *Randomization Test/Balance Test*, and *Models of Treatment Effects for Dependent Variables*
Compile your .rmd file to PDF or html, save it and email me both your **.rmd** and the **PDF** or **html** with this subject heading:
**Section, Full Name, Memo Submission**