Class Schedule

Short-hand notation

- AC2.1: reading assignment from
*Analytical Chemistry 2.1* - SPS: short problem set; LPS: long problem set

To download and save a file, right-click on the link and select `save link as...`

. You will find it helpful to create a `Chem 351 folder`

on your computer where you can save these files and your notes and work for this course

Common File Types

`.csv`

: a spreadsheet file in comma separated value format`.docx`

: a Microsoft Word document`.pdf`

: a PDF document`.R`

: a script file that contains one or more functions for use in`R`

`.RData`

: a file that contains one or more vectors, matrices, or arrays of data for use in`R`

`.Rmd`

: an Rmarkdown file`.txt`

: a plain text file`.xlsx`

: a Microsoft Excel spreadsheet

Documents describing `R`

are written for the Mac OS X operating system. When using Windows there likely are some modifications to menu commands and to keyboard shortcuts when using the program's graphical user interface; the syntax for an `R`

command, however, is independent of the operating system.

- August 24:
`no class (away at conference)`

- August 29: introduction to course and a first introduction to
`R`

- read: none
- handouts: Abbreviated Syllabus.pdf, Installing R and RStudio.pdf, Introduction to R and RStudio.pdf
- files to download: UsingR.R, BeefLiver.RData, ElementData.csv, sampleScript.R
- August 31: basic descriptive statistics and data visualizations
- read: sections 4A and 4B of AC2.1
- handouts: A Small Data Set.pdf, SPS01.pdf
- files to download: none
- September 5: using
`R`

for basic descriptive statistics and data visualizations - read: Creating Plots Using R's Base Graphics
- handouts: iqr.pdf, LPS01
- files to download: Basic_Stats_Visual.R, iqr.R, MM.RData, Color Chart for R.pdf, Plot Symbols for R.pdf, LPS_Template.Rmd, nitrogenOxide.RData
- September 7: ways in which data are distributed
- read: sections 4D and 4H of AC2.1
- handouts: none
- files to download: none
- September 12: using
`R`

to study the distribution of data - read: none
- handouts: LPS02
- files to download: normalDistribution.R, shadeArea.R, SimSample.R, DistoNorm.RData, Distributions.RData
- September 14 confidence intervals and significance testing
- read: sections 4E, 4F, and 4G of AC2.1
- handouts: summary of significance tests, t-Table, F-Table (one-tailed), F-Table (two-tailed), Q-Table, [Zn
^{2+}] at Air-Water and Sediment-Water Interface, SPS03 - files to download: none
- September 19: using
`R`

to report confidence intervals and complete significance tests - read: none
- handouts: Non-Parametric Tests, LPS03
- files to download: sigtest.R, xbar-mu.R, BloodPressure.RData, SpeedLight.RData, Clouds.RData, data for problem 3 of LPS03
- September 21: analysis of variance
- read: section 14C.2 of AC2.1
- handouts: Analysis of Variance, SPS04
- files to download: none
- September 26: using
`R`

to complete an analysis of variance - read: none
- handouts: LPS04
- files to download: anovaUsingR.R, carbonDioxide.RData, Pottery.RData
- September 28:
`no class (DePauw Dialogue)`

- October 3: linear regression
- read: section 5D of AC2.1
- handouts: SPS05, Evaluating Linear Regression, Derivation of Linear Regression
- files to download: none
- October 5: using
`R`

to complete a linear regression - read: none
- handouts: LPS05
- files to download: Anscombe.RData, usingRforLR.R
- October 10: catch-up and review for midterm exam
- October 12:
`no class: midterm exam due before you leave for fall break`

- October 17:
`Fall Break`

- October 19:
`Fall Break`

- October 24: review midterm exam; using plot3D
- read: none
- handouts: none
- files to download: plot3D_examples.R
- October 26: experimental design
- read: section 14A.1 & 3 of AC2.1
- handouts: SPS06
- files to download: none
- October 31: using R to complete an experimental desing
- read: none
- handouts: central composite design, LPS06
- files to download: exptDesign.R, Acetone.RData, tRNA.RData
- November 2: signals, noise, and signal processing
- read: none
- handouts: signal and noise, signal averaging and filtering, frequency and time domain signals, background signals
- files to download: none
- November 7: using R for signal processing
- read: Savitzky-Golay paper
- handouts: LPS07
- files to download: signalProcessingUsingR.R, SignalNoise.RData, BkgdRemoval.RData,StepFunction.RData, FFT.RData, VeryNoisySignal.RData
- November 9: principal component analysis
- read: none
- handouts: fourViewsHPLC
- files to download: none
- November 14: using R for a principal component analysis
- read: none
- handouts: LPS08
- files to download: usingRforPCA.R, MetalMix.RData, Elements.RData, Chrom3D.RData
- November 16: pattern recognition
- read: none
- handouts: PCA results for elements data, biplot for elements data, PCA results for tap and bottled water, test data for cluster analysis
- files to download: none
- November 21: using R for pattern recognition
- read: none
- handouts: LPS09
- files to download: usingRforClusterAnalysis.R, Elements.RData, MetalMix.RData, table1.csv
- November 23:
`Thanksgiving Break`

- November 28: multivariate analysis
- read: none
- handouts: none
- files to download: none
- November 30: using R for a multivariate analysis
- read: none
- handouts: none
- files to download: usingRforMLR, MLRScript.R, MLR.RData
- December 5: catch up and review for final exam
- December 7:
`no class: final exam due by end of final exam week`

- Friday, December 16th from 8:30 - 11:30