ACM/ESE 118: Handouts

 Home Handouts Homework Computing
 Course Handouts Course Survey: PDF Mean and variance estimation: PDF Review lectures: PDF Examples of simple linear regression in R: PDF Sampling distribution of least-squares estimates: PDF A puzzling example: PDF Review on random vectors and multivariate normal distribution: PDF Special lecture on covariance matrices and multivariate normal distribution: PDF Cross-validation example: PDF Computational examples Template from Lecture 1: lecture1.R; example data RatOzone2.dat Converting a data structure: ConvertData.R; example data ratozone.dat R reference chart (from rpad.org) : PDF Template from the Oct 1st R introduction session: 10-01_Recitation.R; example data DowJones.csv Template from an earlier R introduction session: RecitationOnR.R, test.R,; example data forbes.dat In class session (October 7th): IntroRinClass.R; example data forbes.dat, DowJones.csv, RatOzone2.dat, ratozone.dat Wed session (October 8th): end of class session from 10/07 and PermuteTest.R Wed session (October 15th): Oct15Tutorial.R; example data capm.dat Wed session (October 22nd): Oct22Tutorial.R; example data capm.dat Analysis of variance: bat.R; data set bat.dat; reference article PDF Example of multicollinearity: Coleman.R; data set coleman.dat Assessing the fit: residual_plot.R; data set Electricity.csv Diagnostics for leverage and influence: Influence.R; data set fuel.dat Model selection via the Cp statistic: Stepwise.R; data set coleman.dat A simple example of Principal Components Analysis (PCA): PCA.R; data set testscores.dat Bootstrap: Introductory examples, standard error estimates for means and medians .R, scores.dat Bootstrap: standard error estimates for correlation coefficients .R, crime.dat Bootstrap and linear regression .R Datasets