'Par mfrow c' diaporamas de présentation

More Complex Graphics in R

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Lecture 5: SLR Diagnostics (Continued) Correlation Introduction to Multiple Linear Regression

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New Ways of Looking at Binary Data Fitting in R

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Workshop in R & GLMs: #2

Workshop in R & GLMs: #2 Diane Srivastava University of British Columbia srivast@zoology.ubc.ca Start by loading your Lakedata_06 dataset: diane<-read.table(file.choose(),sep=";",header=TRUE) Dataframes Two ways to identify a column (called "treatment") in your dataframe (called "diane"):

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STATS 330: Lecture 8

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BIOL 582

BIOL 582. Lecture Set 21 One- Way MANOVA, Part I. So far we have learned two things about multivariate data: That linear models work equally well with multivariate data, compared to univariate data That we can visualize general patterns in multivariate data spaces in reduced dimensions

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Computing for Research I Spring 2011

Computing for Research I Spring 2011. Introduction to R February 12. Primary Instructor: Elizabeth Garrett-Mayer. Check out online resources. http://people.musc.edu/~ elg26/teaching/methods2.2010/R-intro.pdf http://www.ats.ucla.edu/stat/r/

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Computing for Research I Spring 2014

Computing for Research I Spring 2014. Introduction to R March 17. Primary Instructor: Elizabeth Garrett-Mayer. Check out online resources. http://people.musc.edu/~ elg26/teaching/methods2.2010/R-intro.pdf http://www.ats.ucla.edu/stat/r/ http://www.statmethods.net/about/learningcurve.html

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S-Plus 8.0 ????????

S-Plus 8.0 ????????. S-Plus 8.0. 1988: S-PLUS is first produced by a Seattle-based start-up company called Statistical Sciences, Inc. The founder and sole owner is R. Douglas Martin, professor of statistics at the University of Washington, Seattle.

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(ye matey)

(ye matey). A few things I want to try to cover today: Graphics Basic plot types Heatmaps Working with plotting devices Drawing plots to files Graphics parameters Drawing multiple plots per device Writing functions in R Parsing large files in R. Scatterplots: x <- 1:100;

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S&P/TSX Capped Composite 4/26/2010 to 4/26/2013 Financials, energy, industries, materials

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Bio277 Lab 3: Finding Transcription Factor Binding Motifs

Bio277 Lab 3: Finding Transcription Factor Binding Motifs. Adapted from a Lab Written by Prof Terry Speed Jess Mar Department of Biostatistics Quackenbush Lab DFCI jmar@hsph.harvard.edu. Outline. Analyze cell cycle gene expression data.

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Probability: the study of randomness

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A bank of band-pass filters

A bank of band-pass filters. par( mfrow =c(5,1)) junk<-scan("2003/ bymonths "); taxis<-1903+c(1:1080)/12 plot( taxis,junk,main ="Amazon Monthly Means", xlab ="Amazon Monthly Means", ylab ="about mean level",type ="l", las =1,ylim=c(min(junk),max(junk)))

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Example. S&P/TSX Capped Composite Financials, energy, industries, materials

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Lecture 2

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Stats Homework

Stats Homework. Go to http://sqlzoo.net/ Do as much as you can in 2 hours Let me know what you did by email No need to send me lots of screen shots Just summarize your experience (good, bad, ugly). http://www.nytimes.com/2009/01/07/technology/business-computing/07program.html. Plot Example.

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6.4 GARCH models .

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