Difference between revisions of "R1"
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'''Open Source Statistics with R''' | '''Open Source Statistics with R''' | ||
| − | = | + | =Introduction= |
| + | R is a mature, open-source (i.e. free!) statistics package, with an intuitive interface, excellent graphics and a vibrant community constantly adding new methods for the statistical investigation of your data to the library of packages available. | ||
| − | =Linear Regression= | + | =Examples of Common Tasks= |
| + | |||
| + | ==Linear Regression== | ||
<source> | <source> | ||
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</source> | </source> | ||
| − | =Significance Testing= | + | --- |
| + | |||
| + | '''Exercise''' | ||
| + | * Weighted least squares. | ||
| + | |||
| + | ==Significance Testing== | ||
<source> | <source> | ||
Revision as of 09:20, 20 June 2013
Open Source Statistics with R
Introduction
R is a mature, open-source (i.e. free!) statistics package, with an intuitive interface, excellent graphics and a vibrant community constantly adding new methods for the statistical investigation of your data to the library of packages available.
Examples of Common Tasks
Linear Regression
> plot(cars)
> res=lm(dist ~ speed, data=cars)
> abline(res)---
Exercise
- Weighted least squares.
Significance Testing
> boys_2=c(90.2, 91.4, 86.4, 87.6, 86.7, 88.1, 82.2, 83.8, 91, 87.4)
> girls_2=c(83.8, 86.2, 85.1, 88.6, 83, 88.9, 89.7, 81.3, 88.7, 88.4)
> res=var.test(boys_2,girls_2)
> res=t.test(boys_2, girls_2, var.equal=TRUE, paired=FALSE)