Computer Applications in Psychology/Sociology with Laboratory

Syllabus

Lab Notes

Code Samples

Documentation and Resources

Datasets

Teaching Assistants

• Dan Smith
  das10c@fsu.edu
  Office Hours: Fridays TBD

The due date of the report is one week after the lab. Reports should be returned in one of the following formats (by email): doc, docx, pdf. doc and docx are generated using Microsoft Word. Pdf files are easily generated on the Mac using print and then choosing print to pdf. You can also use OpenOffice, or GoogleDocs. Reports should be returned by email to the TA in charge of the lab you are officially assigned to.

Lectures

• Jan. 7, 2014
  Introduction

• Jan. 8, 2014
  Lab 0: Installation of R and trying out some basic commands. No report is necessary, but the material is consisered known. Please email the TA, see the TA, or contact the instructor with questions, feedback, suggestions. You will learn how to move between directories, and use the editor so that later in the course, you'll be able to write scripts. And finally, you will learn to tar or zip your files to archive them and theby send a colletion of files as a single file.

• Jan. 9, 2014
  R Basics 1

• Jan. 14, 2014
  R Basics 2 Vectors, vector element selection, lists

• Jan. 15, 2014
  Assignment 01: use of vectors in R. Due date: Friday Jan. 24, 2014 for all students Please email the lab repor tto the TA before midnight, Jan. 24th.

• Jan. 16, 2014
  R Basics 2. We discuss functions, and their arguments.

• Jan. 21, 2014
  R Basics 2. We discuss functions, and their arguments.
  Function Examples, practice. We provide examples of functions, discuss source(), and some plotting.
  Internet Searching

• Jan. 22, 2024
  Assignment 02: function construction. Due Date: Friday Feb. 31, 2014, for all students.

• Jan. 23, 2014
  Function Examples, practice.. We provide examples of functions, discuss discuss source(), and some plotting.
  Vector of T/F.. We discuss conditional operators and vectors of booleans.

• Jan. 28, 2014
  R Basics 3. We discuss scripting, logical arguments, and if time permits, data frames R Basics 3. We discuss scripting, logical arguments, and if time permits, data frames
  Data extraction using conditionals
  Notes on data_frames
  Data Frames. Data sets, data frames, how to extract columns and rows via indexing and logical expressions. We also address reading and writing in csv format.

• Jan. 29, 2014
  Class cancelled due to storm.

• Feb. 4, 2014
  Dataframes
  Additional notes from Prof. Slice..

• Feb. 5, 2014
  Assignment 03: Logicals, Dataframes.
  Due Date: Friday Feb. 14, 2014, for all students.

• Feb. 6, 2014
  Dataframes, functions, review.
  Internet Searching
  

• Feb. 11 2014
  Populations and samples2. We discuss the notion of populations and samples, with illustrations using RStudio. Although this lessons should logically come first, we will instead start with problems, and return to this next lesson, since your already have had a course on statistics.
  Hypothesis testing: problem solving.
  We solve some problems using factors, reading data, understanding data, extracting data, plotting data, related to hypothesis testing. This will help prepare for tomorrow's lab.
  Criminals vs Cambridge men
  Maze data set
  Information about the Maze Dataset
  (Resulting script for the maze)
  

• Feb. 12, 2014
  Assignment on datasets, data extraction, and Hypothesis testing.
  Repository of datasets to help solve assignment problems. Due Date: Friday Feb. 21, 2014, for all students.

• Feb. 13, 2014
  Hypothesis testing: problem solving.
  We solve some problems using factors, reading data, understanding data, extracting data, Populations and samples2. We discuss the notion of populations and samples, with illustrations using RStudio.
  Supporting source code

• Feb. 18, 2014
  We continue with topics of Feb. 13: analyzing a practical problem relating to the maze dataset. Hypothesis testing: problem solving.
  Code to solve maze-related examples.
  

• Feb. 20, 2014
  More information about plotting.
  Creating a hatching function for plots.

• Feb. 25, 2014
  More information about plotting.
  Correlation.
  Example code
  

• Feb. 26, 2014
  Assignment: Data frames, plotting, basic statistics, hypothesis testing.. Due: Fri. March 7, 2014. fsu_football.RData.

• Feb. 27, 2014
  play_corr.r
  Example code
  Correlation.
  

• March 04, 2014
  Linear Regression
  FCAT data file
  R files
  

• March 05, 2014
  Assignment: Hypothesis testing, correlation, regression.
  Due: March 21, 2014
  

• March 06, 2014
  Linear regression (continued)
  Linear regression problems: working with the maze.
  Linear regression problem involving the maze dataset
  Maze data set
  

• March 18, 2014
  Image Processing with ImageJ (part 1)
  Source code

• March 19, 2014
  Analysis of suicide datasets
  Due: March 28, 2014
  Needed files: suicide dataset ("VanOrden_for dist.csv") and description of variables ("variables_from_sav_file.txt")
  Data files

• March 20, 2014
  Image Processing with ImageJ (part 1)
  Source code

• March 25, 2014
  Image Processing with ImageJ (part 3)
  We discuss importing/loading packages, color channels and their use, region selection using ImageJ.
  Graphic packages in R
  We discuss the notion of packages (or libraries) in R, related to graphics.
  Source code

• March 26, 2014
  Analysis of suicide datasets
  Due: April 1, 2014
  Needed files: suicide dataset ("VanOrden_for dist.csv") and description of variables ("variables_from_sav_file.txt")
  Data files

• April 1, 2014
  Image Processing with ImageJ (part 4)
  Basic image processing assignment
  Basic image processing assignment, files

• April 2, 2014
  Assignment 08: Area computation with ImageJ via selection and thresholding.
  MPOA20.jpg
  Assignment will occur over two weeks, due Tuesday April 15, by Midnight.

• April 3, 2014
  Sound with Audacity
  

• April 8, 2014
  Sound with Audacity, working with R
  Sound files. (zip file)
  

• April 10, 2014
  Sound project with Audacity and RR
  Sound files. (zip file)
  

• April 15, 2014
  Break up a sound file into individual words, using R
  Download breakup_sound_file_cleaned_up.r and breakup_sound_file.r from Sound files

• April 16, 2014
  Assignment on sound using Audacity and R
  Recording by instructor
  breakup_sound.r
  Due date: Sunday April 27, 2014 (late homeworks not accepted)
  The TA and instructor will only be available to help up until Friday April 25, 2014.

• April 17, 2014
  Other graphic packages and utilities in R
  Some source code

• April 22, 2014
  Word Clouds: understand a new package in R
  Some source code

• April 24, 2014
  Class Summary