Ordinal Logistic Regression or Proportional Odds Logistic Regression with R HD

Provides illustration of doing Ordinal Logistic Regression with R using an example of ctg dataset. Includes, - exploration of data - partitioning of dataset - ordinal logistic regression or proportional odds logistic regression - calculation of p values - prediction - equations for estimation of probabilities - confusion matrix or classification matrix from training and test datasets - misclassification error Link to R File: https://drive.google.com/open?id=0B5W8CO0Gb2GGRXZGbmVscVA3SVU Link to data set: https://drive.google.com/open?id=0B5W8CO0Gb2GGMzJGbkdGUGREYjA Ordinal Logistic Regression is an important tool related to analyzing big data or working in data science field. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.