<p><br/></p><p><br/>R <br/>Course Contents <br/>page <br/>Session 1: R <br/>Introduction and References <br/>Notation Conventions used throughout the course Starting R for Windows <br/>Getting Help <br/>The R Console <br/>The Menu bar <br/>The Toolbar <br/>Practical Session 1 <br/>1. Objective of this exercise Starting R <br/>Accessing built-in datasets A simple analysis <br/>Viewing output <br/>Printing and saving output Leaving R <br/>2. Creating your own R Data File Using the Data Editor <br/>The Data <br/>Defining the Variables Entering the Data Saving the Data <br/>Some Descriptive Statistics Exiting R </p><p>Session 2: Importing Data Files from Text Formats Reading a raw data file <br/>Importing Text Files <br/>A note about variable names in R <br/>Notes on the Data Editor: Adjusting Column widths Missing Values <br/>Importing an Excel file to R Practical Session 2 <br/>1. Reviewing the demonstration <br/>2. Importing an ASCII file, defining labels &amp; missing values <br/>British Social Attitudes Survey, 1987:Coding Sheet </p><p>Session 3: Data and Language Structures R as a calculator <br/>Vectors and assignment <br/>Generating Sequences <br/>Character Vectors <br/>Arithmetic Operators <br/>Comparison Operators <br/>Extracting Data by using an index &nbsp;3-7 <br/>Simple and Complex Objects &nbsp;3-9 <br/>Loops and Conditional Execution &nbsp;3-10 <br/>1. Conditional Statement: If Statement &nbsp;3-10 <br/>2. Iteration: for, while &nbsp;3-12 <br/>Practical Session 3 &nbsp;3-13 <br/>&nbsp;1 . Reviewing the demonstration &nbsp;3-13 <br/>2. Operators and Subscripts &nbsp;3-13 <br/>3. Loops and Conditional Execution &nbsp;3-14 </p><p>Session 4: Crosstabulation and Recode <br/>Crosstabulation in R &nbsp;4-2 <br/>Recoding &nbsp;4-4 <br/>How to recode &nbsp;4-5 <br/>Recoding into a different variable &nbsp;4-5 <br/>Recoding AGE into age groups (Recode Ranges) &nbsp;4-6 <br/>Missing values and recoding &nbsp;4-7 <br/>Variable labels &nbsp;4-8 <br/>Practical Session 4 &nbsp;4-9 <br/>1. Reviewing the demonstration &nbsp;4-10 <br/>2. Age and gender and government spending &nbsp;4-10 <br/>3. Political identification and age &nbsp;4-11 </p><p>Session 5: Computing New Variables <br/>Numerical Expressions &nbsp;5-2 <br/>Missing values and compute &nbsp;5-5 <br/>Other types of variables &nbsp;5-6 <br/>More on data frames &nbsp;5-8 <br/>The function tapplyt) &nbsp;5-9 <br/>Arrays and matrices &nbsp;5-11 <br/>Index arrays &nbsp;5-13 <br/>Manipulation of Arrays and Matrices &nbsp;5-15 <br/>Practical Session 5 &nbsp;5-18 <br/>1. Reviewing the demonstration &nbsp;5-18 <br/>2. Computing new variables/ producing bar charts &nbsp;5-18 <br/>3. Computing new matrices &nbsp;5-19 </p><p>Session 6: Selecting, Sampling Cases and Functions <br/>Selecting Cases &nbsp;6-2 <br/>Selecting the whole set of cases again &nbsp;6-4 <br/>Sampling Cases &nbsp;6-4 <br/>Split Data Frame Command &nbsp;6-5 <br/>Functions &nbsp;6-7 <br/>Practical Session 6 &nbsp;6-9 <br/>1. Reviewing the demonstration &nbsp;6-9 <br/>2. Mobility Tables &nbsp;6-9 <br/>3. Subdividing by sex &nbsp;6-10 <br/>4. Writing functions &nbsp;6-10 <br/>Session 7: Numerical and Graphical Summaries of Data <br/>Summary Statistics &nbsp;7-2 </p><p>Histograms Box-Plots <br/>Bar Charts <br/>Scatter Plots Practical Session 7 <br/>1. Reviewing the demonstration <br/>2. Further Graphs <br/>3. Exploring the age of the respondents <br/>4. Investigating the education of respondent and family </p><p>Session 8: R-Commander, Two-Sample T-Tests and ANOVA </p><p>R Commander Example <br/>Running R Commander automatically <br/>Running Scripts in R <br/>Two-Sample t-test- Comparing Two Independent Means Paired t-test for Means - Comparing Two Dependent Means One-Way ANOVA <br/>Pairwise Comparisons </p><p>Very simple linear regression Practical Session 8 <br/>1. Reviewing the demonstration <br/>2. Analysis of the STATLABA data <br/>3. Consolidation </p><p>Session 9: The General linear model and graphics An example: block designs <br/>Model simplification <br/>More on linear regression More on graphics Practical Session 9 </p><p>Session 10: Additional topics 1. The Chi-Squared (Z2) test Cross-tabulation <br/>Observed and Expected Frequencies <br/>Comparing Observed and Expected Frequencies the x2 Test <br/>Degrees of Freedom <br/>2. Logistic regression The glmO function Modelling proportions <br/>Binary logistic regression - model selection <br/>3. Survival Analysis <br/>Functions used in Survival analysis <br/>Kaplan Meier estimate of the Survival Function Cox Proportional hazards model <br/>Parametric models </p><p></p><br>yahoocom
&nbsp;金币&nbsp;+1
&nbsp;奖励&nbsp;2009-4-26 21:54:58