Categorical data Analysis using Predictive mean matching.

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Following packages in R can be used to impute missing values using PMM: 1. Hmisc 2. MICE The project will be executed with following steps: 1. Problem Statement 2. Hypothesis Generation 3. Loading Packages and Data 4. Data Structure and Content 5. Exploratory Data Analysis 6. Data Preparation – Data Cleaning. Data transformation. Missing Value and Outlier Treatment. 7. Model building 8. Conclusion A more detailed proposal can be given once there is clarity on what kind of analysis is required and also after having a look at data (dimensions,no of missing values, independent and dependent variables )