Stats 206: Homework 6 Solutions
Brandon Ewonus (Thanks to Brandon!)
1. Principal Components using SVD for the Digits Data
The dataset train.3.txt contains the data on handwritten threes. Below we read this data into an n p
matrix digit, and compute the ce
Stats 206: Homework 4
Brandon Ewonus (Thanks to Brandon!)
October 23, 2014
1. J & W Exercise 5.5
The transformed microwave radiation data has x =
0.564
, S =
0.603
0.0144
0.0117
0.0117
, and S1 =
0.0146
203.018 163.391
. We can test the null hypothesis H0
Stat 206
[version: 11/6/14]
Homework 5.
Due in class on Thursday November 13.
You can use R for any of the numerical calculations, but your write-up should be written
for a human to read!
Any corrections will be posted on Coursework.
Collaboration on home
Stat 206
[version: 10/16/14]
Homework 4.
Due in class on Thursday October 23.
You can use R for any of the numerical calculations, but your write-up should be written
for a human to read!
Any corrections will be posted on Coursework.
Collaboration on home
Stat 206
[version: 10/9/14]
Homework 3.
Due in class on Thursday October 16.
You can use R for any of the numerical calculations, but your write-up should be written
for a human to read!
Any corrections will be posted on Coursework.
Collaboration on homew
Stat 206
[version: 10/2/14]
Homework 2.
Due in class on Thursday October 9.
You can use R for any of the numerical calculations, but your write-up should be written
for a human to read!
Any corrections will be posted on Coursework.
Collaboration on homewo
Stats 206: Homework 5 Solutions
Brandon Ewonus (Thanks to Brandon!)
1. J & W Exercise 6.23
Below we construct a one-way MANOVA using the width measurements from the iris data in Table 11.5.
# using code excerpts from October 15 Lecture Notes (p. 1-5)
# im
Stat 206
[version: 11/14/14]
Homework 6.
Due in class on Thursday November 20, with extension to 4:30 pm Tuesday November 25th, hand in to John Ralston, Sequoia 122.
You can use R for any of the numerical calculations, but your write-up should be written
Stat 206
[version: 11/6/14]
Homework 5.
Due in class on Thursday November 13.
You can use R for any of the numerical calculations, but your write-up should be written
for a human to read!
Any corrections will be posted on Coursework.
Collaboration on home
Stat 206
[version: 9/25/14]
Homework 1.
Due in class on Thursday October 2.
You can use R for any of the numerical calculations, but your write-up should be written
for a human to read!
Any corrections will be posted on Coursework.
Collaboration on homewo
Stats 206: Homework 1 Solutions
Brandon Ewonus (Thanks to Brandon!)
Comments: Notice the dierence between denition and Rs default when dealing with sample covariance
matrix. In fact, Rs cov() default uses the unbiased version, with divisor of n 1, while t
Stats 206: Homework 3 Solutions
Brandon Ewonus (Thanks to Brandon again!)
Comments:
1. In 4.7(b), it will save you some work if you note the independence between X1 and X2 .
2. When computing rQ value, remember q(j) is the normal quantile associated with
Stats 206: Homework 2 Solutions
Brandon Ewonus (Thanks to Brandon!)
Comments:
1. When computing the lengths of semi-major and semi-minor axs for two-dimensional ellipsoids, remember
those are equal to
the square roots of the eigenvalues of S,
the invers
Statistics 206, Fall 2014
[Version: 10/23/14]
Applied Multivariate Analysis
Lecture Summary (for midterm).
The numbers in parentheses (X.Y) refer to sections of Johnson & Wichern. If the book
section seems to cover more than the lecture notes, then youre
Statistics 305: Linear Models
Introduction to R: Page 1
Autumn Quarter 2011
What is R?
R is a statistics package freely available at http:/www.r-project.org/. Since R is a programming language,
it is exible but that comes with the price of a somewhat stee
# this is a slightly modified version of intro.R from Doug Wiens' course site at
# http:/www.stat.ualberta.ca/~wiens/stat575/stat575.html
rm(list = ls() # clear the memory
x x#
# This is a brief introduction to R
# Open R, and then work through these comm
STAT 206: Applied Mul0variate
TODAYS AGENDA
Informa(on sheet [1st page]
Slides on Principal Components Analysis (PCA)
Blackboard on PCA
Back to Info sheet [Course admin, prereqs]
[if (me, slides on one use of