In a previous post I derived the least squares estimators using basic calculus, algebra, and arithmetic, and also showed how the same results can be achieved using the canned functions in SAS and R or via the matrix programming capabilities offered by ...
Regression Basicsy= b0 + b1 *X ‘regression line we want to fit’The method of least squares minimizes the squared distance between the line ‘y’ andindividual data observations yi. That is minimize: ∑ ei2 = ∑ (yi - b0 - b1 Xi...
In a previous post I discussed the concept of gradient descent. Given some recent work in the online machine learning course offered at Stanford, I'm going to extend that discussion with an actual example using R-code (the actual code...
The following R code models a censored dependent variable (in this case academic aptitude) using a traditional least squares, tobit, and Bayesian approaches. As depicted below, the OLS estimates (blue) for censored data are inconsistent and will ...
See also: Part 1: QTL Analysis and Quantitative Genetics Part 2: Statistical Methods for QTL Analysis The 'qtl' package in R allows you to implement QTL analysis using the methods I've previously discussed. The code below is adapted from Broman...
# ------------------------------------------------------------------ # |PROGRAM NAME: # |DATE: # |CREATED BY: MATT BOGARD # |PROJECT FILE: # |---------------------------------------------------------------- # | PURPOSE: ...
Now that I have the FII and DII Inflow along with Nifty Index, I tried my hands on charting!The objective is to plot the Cumulative FII, DII and Net Inflow and Nifty Index for current year (2011) on a single graph. This post takes inspiration from Deep...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
