====== Week01 (Sep 4, 7) ======
<WRAP half column>
===== ideas and concepts  =====
Introduction to R and others
  - Downloading and Installing R
    - [[:the_r_project_for_statistical_computing]]
    - [[:r]], [[:r:getting started]]
  - Starting R
  - Entering Commands
  - Exiting from R
  - Interrupting R
  - Viewing the Supplied Documentation
  - Getting Help on a Function
  - Searching the Supplied Documentation
  - Getting Help on a Package
  - Searching the Web for Help
  - Finding Relevant Functions and Packages
  - Searching the Mailing Lists
  - Submitting Questions to the Mailing Lists
using [[:theories]] and making [[:hypothesis|hypotheses]]
</WRAP>
<WRAP half column>
Installing R

===== Assignment =====
</WRAP>
====== Week02 (Sep 11 14) ======
<WRAP half column>
===== Concepts and ideas =====
Some [[:R:basics|basics]]
  - Introduction
  - Printing Something
  - Setting Variables
  - Listing Variables
  - Deleting Variables
  - Creating a Vector
  - Computing Basic Statistics
  - Creating Sequences
  - Comparing Vectors
  - Selecting Vector Elements
  - Performing Vector Arithmetic
  - Getting Operator Precedence Right
  - Defining a Function
  - Typing Less and Accomplishing More
  - Avoiding Some Common Mistakes

using [[:theories]] and making [[:hypothesis|hypotheses]]
  * Theories
    * to build science
    * to guide as a frame (what to look, how to think, and how to look at)
    * to explain phenomena
    * to predict phenomena (to provide a context for predictions)
    * Empirically relevant (testing) and always tentative (deductive cycle)
      * via research (hypothesis testing)
      * hence, not fixed
    * generalized statement regarding a connection between A and B (idea, concept, construct, phenomena, etc)
    * Levels ?
      * Micro . . . frustration and aggression
      * Meso . . . online communities and disinhibition
      * Macro . . . ethnicity (or socio-econ class) and family bond 
    * role of T
      * {{:role_of_theory.jpg}}
  * [[:Research Question]]s (or Problems)
    * Two ideas guided by theories
    * Questions on their relationships
    * Conceptualization

</WRAP>

<WRAP half column>

  * [[:Hypothesis]]
    * Educated guess (via theories)
    * Difference 
    * Association
    * Variables (vs. ideas, concepts, and constructs)
      * [[:Operationalization]]
      * [[:Types of Variable]]
        * [[:Independent Variable|IV]] 
        * [[:Dependent Variable|DV]]
        * Control variable
        * Mediating (Intervening) variable
===== Assignment =====
In class

<code>small <- c(0.6739635, 1.5524619, 0.3250562, 1.2143595, 1.3107692, 2.1739663, 1.6187899, 0.8872657, 1.9170283, 0.7767406)
medium <- c(10.526448, 9.205156, 11.427756, 8.53318, 9.763317, 9.806662, 9.150245, 10.058465, 9.18233, 7.949692)
big <- c(99.83624, 100.70852, 99.73202, 98.53608, 100.74444, 98.58961, 100.46707, 99.88068, 100.46724, 100.49814)

dframe <- data.frame(small, medium, big)</code>

<code>fib <- c(0,1,1,2,3,5,8,13,21,34)</code>

<code>a1 <- c(1,1,2,3,5,8,13,21)
a2 <- c(2,4,5,3,6,9,18,25)
</code>

  - select all elements that exceeds +-2 sd from the mean of the column, medium in dframe.
  - choose only odd numbers from the variable fib.
  - combine a1 and a2 into a data frame, dframe2
  - name a1 and a2 to x and y in dfram2

</WRAP>
====== Week03 (Sep 18, 21) ======
<WRAP half column>
===== Concepts and ideas =====
[[:r:navigating|Navigating]] software
  - Introduction
  - Getting and Setting the Working Directory
  - Saving Your Workspace
  - Viewing Your Command History
  - Saving the Result of the Previous Command
  - Displaying the Search Path
  - Accessing the Functions in a Package
  - Accessing Built-in Datasets
  - Viewing the List of Installed Packages
  - Installing Packages from CRAN
  - Setting a Default CRAN Mirror
  - Suppressing the Startup Message
  - Running a Script
  - Running a Batch Script
  - Getting and Setting Environment Variables
  - Locating the R Home Directory
  - Customizing R
</WRAP>
<WRAP half column>
===== Assignment =====

</WRAP>
====== Week04 (Sep 25, 28) ======
<WRAP half column>
===== Class Activity =====
  * 가설 만들어 보기
    * No need to read [[:theories]]
      * the third person effect
      * [[:Spiral of Silence]]
      * [[:cognitive dissonance]]  
    * Read [[:hypothesis]]
    * [[http://behavioralsciencewriting.blogspot.kr/2011/09/how-to-write-hypothesis.html|how to write hypothesis]] at behavioral science writing. 
    * One sample hypothesis [[http://www.socialresearchmethods.net/kb/hypothes.php|Hypothesis]] at www.socialresearchmethods.net
===== Concepts and ideas =====
[[:r:input_output|Input and output]]
  - Introduction
  - Entering Data from the Keyboard
  - Printing Fewer Digits (or More Digits)
  - Redirecting Output to a File
  - Listing Files
  - Dealing with “Cannot Open File” in Windows
  - Reading Fixed-Width Records
  - Reading Tabular Data Files
  - Reading from CSV Files
  - Writing to CSV Files
  - Reading Tabular or CSV Data from the Web
  - Reading Data from HTML Tables
  - Reading Files with a Complex Structure
  - Reading from MySQL Databases
  - Saving and Transporting Objects
</WRAP>
<WRAP half column>
===== Assignment =====
  * [[https://eclass2.ajou.ac.kr:8443/webapps/blogs-journals/execute/blogTopicList?course_id=_25685_1&type=journal|가설 연습 in ajoubb]] 
  * [[./schedule/w04_assignment]]


</WRAP>

====== Week05 (Oct 2, Oct 5) ======
<WRAP half column>
<fc #ff0000>
Oct 5: Chooseok Holiday
Oct 3, 4, 5, 6, 7, 8
</fc>
===== Concepts and ideas =====
[[:r:Data Structures]]
  - Introduction
  - Appending Data to a Vector
  - Inserting Data into a Vector
  - Understanding the Recycling Rule
  - Creating a Factor (Categorical Variable)
  - Combining Multiple Vectors into One Vector and a Factor
  - Creating a List
  - Selecting List Elements by Position
  - Selecting List Elements by Name
  - Building a Name/Value Association List
  - Removing an Element from a List
  - Flatten a List into a Vector
  - Removing NULL Elements from a List
  - Removing List Elements Using a Condition
  - Initializing a Matrix
  - Performing Matrix Operations
  - Giving Descriptive Names to the Rows and Columns of a Matrix
  - Selecting One Row or Column from a Matrix
  - Initializing a Data Frame from Column Data
  - Initializing a Data Frame from Row Data
  - Appending Rows to a Data Frame
  - Preallocating a Data Frame
  - Selecting Data Frame Columns by Position
  - Selecting Data Frame Columns by Name
  - Selecting Rows and Columns More Easily
  - Changing the Names of Data Frame Columns
  - Editing a Data Frame
  - Removing NAs from a Data Frame
  - Excluding Columns by Name
  - Combining Two Data Frames
  - Merging Data Frames by Common Column
  - Accessing Data Frame Contents More Easily
  - Converting One Atomic Value into Another
  - Converting One Structured Data Type into Another
</WRAP>
<WRAP half column>
===== Assignment =====
  * 자신의 관심사와 어울리는 참고문헌 수집하기 
    - 자신의 관심사를 정리하는 2 문단 작성
    - 이에 해당하는 키워드 추출 (3-5)
    - 키워드를 이용하여 관련된 논문 찾기 (영어논문 1개, 국내논문 3개)
      * [[http://www.sciencedirect.com/|Science Direct]]
      * [[http://online.sagepub.com/|Sage online pub]]
      * [[http://www.dbpia.co.kr/|DBpia]]
      * 논문은 empirical study를 지향하는 것 (연구문제 혹은 가설을 포함하는 사회과학 논문)이어야 합니다. 
    - 각 논문을 APA style의 참고문헌목록 형식으로 소개하고 
      * APA 형식은 {{c:언론관련학술지논문작성지침.hwp|}} 참조
      * 각 논문이 왜 자신의 논문과 관련이 있는지 자신의 글로 정리하여 기록
      * 가설 혹은 연구문제가 있다면 무엇이었는지 정리 후 기록
  * 이를 토대로 자신의 가설을 만들어 보기 (3)
  * [[https://eclass2.ajou.ac.kr:8443/webapps/blogs-journals/execute/blogTopicList?course_id=_25685_1&type=journal&filter=all|Ajou BB journal에서 수행]]: assignment-w05: building hypotheses

[[./schedule/w05_assignment]]
</WRAP>

====== Week06 (<del>Oct 9</del>, 12) ======
<WRAP half column>
Oct 9: Hangul Day
===== Concepts and ideas =====
[[:r:Data Transformations]]
  - Introduction
  - Splitting a Vector into Groups
  - Applying a Function to Each List Element
  - Applying a Function to Every Row
  - Applying a Function to Every Column
  - Applying a Function to Groups of Data
  - Applying a Function to Groups of Rows
  - Applying a Function to Parallel Vectors or Lists
Strings and Dates

[[https://www.mathsisfun.com/algebra/matrix-multiplying.html|Matrix Calculation]]
[[:Social Network Analysis]]
===== Announcement =====
  * First quiz 
    * The quiz will be held during the mid term schedule.
    * 1st quiz + Week 07 materials. 
    * Two sets: 
      * without materials
      * with materials (textbook + r help)
      * No internet connection

</WRAP>
<WRAP half column>
===== Assignment =====
</WRAP>

====== Week07 (Oct 16, 19) ======
<WRAP half column>
===== Concepts and ideas =====
[[:R:Probability]]
  - Introduction
  - Counting the Number of Combinations
  - Generating Combinations
  - Generating Random Numbers
  - Generating Reproducible Random Numbers
  - Generating a Random Sample
  - Generating Random Sequences
  - Randomly Permuting a Vector
  - Calculating Probabilities for Discrete Distributions
  - Calculating Probabilities for Continuous Distributions
  - Converting Probabilities to Quantiles
  - Plotting a Density Function
</WRAP>
<WRAP half column>
===== Assignment =====
==== 개인과제 ====

교재를 읽고 
  - Chi-square test를 할 수 있는 가설과 
  - One sample t-test를  할 수 있는 가설
  - Two sample t-test를 할 수 있는 가설을 만들어 오시오. 

</WRAP>

====== Week08 (Oct 23, 26) ======
__**Mid-term period**__ 

====== Week09 (Oct 30, Nov 2) ======
<WRAP half column>
===== Concepts and ideas =====
[[:r:General Statistics]]
[[:Chi-square Test]]
[[:t-test]] 참조
[[:ANOVA]] 참조
[[:Factorial ANOVA]] 참조
  - Introduction
  - Summarizing Your Data
  - Calculating Relative Frequencies
  - Tabulating Factors and Creating Contingency Tables
  - Testing Categorical Variables for Independence
  - Calculating Quantiles (and Quartiles) of a Dataset
  - Inverting a Quantile
  - Converting Data to Z-Scores
  - Testing the Mean of a Sample (t Test)
  - Forming a Confidence Interval for a Mean
  - Forming a Confidence Interval for a Median
  - Testing a Sample Proportion
  - Forming a Confidence Interval for a Proportion
  - Testing for Normality
  - Testing for Runs
  - Comparing the Means of Two Samples
  - Comparing the Locations of Two Samples Nonparametrically
  - Testing a Correlation for Significance
  - Testing Groups for Equal Proportions
  - Performing Pairwise Comparisons Between Group Means
  - Testing Two Samples for the Same Distribution
</WRAP>
<WRAP half column>
===== Assignment =====
[[:c/ma/2017/schedule:Week09 Assignment|Assignment-Week09]]
[[https://eclass2.ajou.ac.kr:8443/webapps/blogs-journals/execute/blogTopicList?mode=read&course_id=_25685_1&type=journal&mode=cpview|Ajou BB journal]]
</WRAP>

====== Week10 (Nov 6, 9) ======
<WRAP half column>
===== Concepts and ideas =====
General Statistics
[[:r:Oneway ANOVA]]
[[:r:Twoway ANOVA]]
</WRAP>
<WRAP half column>
===== Assignment =====
Next week quiz02 on Monday
Data structure -- Two-way ANOVA ( except Social network analysis)
Quiz will be shorter than the earlier one because of time-constraints. 
</WRAP>

====== Week11 (Nov 13, 16) ======
<WRAP half column>
===== Concepts and ideas =====
[[r:graphics|Graphics]]
  - Introduction
  - Creating a Scatter Plot
  - Adding a Title and Labels
  - Adding a Grid
  - Creating a Scatter Plot of Multiple Groups
  - Adding a Legend
  - Plotting the Regression Line of a Scatter Plot
  - Plotting All Variables Against All Other Variables
  - Creating One Scatter Plot for Each Factor Level
  - Creating a Bar Chart
  - Adding Confidence Intervals to a Bar Chart
  - Coloring a Bar Chart
  - Plotting a Line from x and y Points
  - Changing the Type, Width, or Color of a Line
  - Plotting Multiple Datasets
  - Adding Vertical or Horizontal Lines
  - Creating a Box Plot
  - Creating One Box Plot for Each Factor Level
  - Creating a Histogram
  - Adding a Density Estimate to a Histogram
  - Creating a Discrete Histogram
  - Creating a Normal Quantile-Quantile (Q-Q) Plot
  - Creating Other Quantile-Quantile Plots
  - Plotting a Variable in Multiple Colors
  - Graphing a Function
  - Pausing Between Plots
  - Displaying Several Figures on One Page
  - Opening Additional Graphics Windows
  - Writing Your Plot to a File
  - Changing Graphical Parameters
</WRAP>
<WRAP half column>
===== Assignment =====

</WRAP>


====== Week12 (Nov 20, 23) ======
<WRAP half column>
===== Announcement =====


===== Concepts and ideas =====
Graphics
</WRAP>
<WRAP half column>
===== Assignment =====

</WRAP>


====== Week13 (Nov 27, 30) ======
<WRAP half column>
===== Concepts and ideas =====
[[:Regression]] [[:Multiple Regression]]
[[:r:Linear Regression]] and [[:r:ANOVA]]
  - Introduction
  - Performing Simple Linear Regression
  - Performing Multiple Linear Regression
  - Getting Regression Statistics
  - Understanding the Regression Summary
  - Performing Linear Regression Without an Intercept
  - Performing Linear Regression with Interaction Terms
  - Selecting the Best Regression Variables
  - Regressing on a Subset of Your Data
  - Using an Expression Inside a Regression Formula
  - Regressing on a Polynomial
  - Regressing on Transformed Data
  - Finding the Best Power Transformation (Box?Cox Procedure)
  - Forming Confidence Intervals for Regression Coefficients
  - Plotting Regression Residuals
  - Diagnosing a Linear Regression
  - Identifying Influential Observations
  - Testing Residuals for Autocorrelation (Durbin?Watson Test)
  - Predicting New Values
  - Forming Prediction Intervals
  - Performing One-Way ANOVA
  - Creating an Interaction Plot
  - Finding Differences Between Means of Groups
  - Performing Robust ANOVA (Kruskal?Wallis Test)
  - Comparing Models by Using ANOVA
</WRAP>
<WRAP half column>
===== Assignment =====
  - Do [[:r:linear_regression#ex_1|Ex 1 part]] in linear regression
</WRAP>


====== Week14 (Dec 4, 7) ======
<WRAP half column>
===== Concepts and ideas =====
Linear Regression and ANOVA
  * http://commres.net/wiki/r/linear_regression#eg_4
[[:Factor analysis]]

</WRAP>
<WRAP half column>
===== Assignment =====
Quiz 03 
  * Week 05 - Regression part.
</WRAP>

====== Week15 (Dec 11, 14) ======
Group Presentation
====== Week16 (Dec 18, 21) ======
Group Presentation
__**Final-term**__
''2016-12-16	시험	금2,금4교시	금(10:30-12:30)''

Week 04 - 
필기 + 실기 시험 
[[quiz04_answer|필기시험 해답]]