Statistics 1

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R demos

Histograms and density functions (section 2): show.R
Sampling and parametric inference (section 3): popsamp.R
Likelihood and MLE (section 3): likelihood.R
Least squares linear regression (section 4): regression.R
Comparing estimators in Uniform distribution (section 5): unif.ests.R
Exact distributions of sums of i.i.d. rv's, and CLT (section 5): clt.R
Confidence intervals (section 7): ci.R
Test for population mean of a normal distribution (section 8): test.mean.R
Normal linear regression (section 9): norm.reg.R

You can download any of these R source files to your computer, and run them later. Alternatively, if you stay online, you can load each individual file directly into R by typing
source("http://www.stats.bris.ac.uk/%7Epeter/Teach/Stats1/downloads/XXX.R")
but replacing XXX.R by the name of the file in question, e.g. show.R, and then run the functions immediately.

Professor Peter Green, School of Mathematics, University of Bristol, Bristol, BS8 1TW, UK.
Email link Telephone: +44 (0)117 928 7967; Fax: +44 (0)117 928 7999