- Statistics with R.pdf
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<P> contexts</P>
<P><BR>Chapter 1<BR>Introduction to R</P>
<P>Chapter 2<BR>Programming in R</P>
<P>Chapter 3<BR>From Data to Graphics</P>
<P>Chapter 4<BR>Customizing graphics</P>
<P>Chapter 5<BR>Factor Analysis: Around<BR>Principal Component Analysis<BR>(PCA)</P>
<P>Chapter 6<BR>Clustering</P>
<P>Chapter 7<BR>Probability Distributions</P>
<P>Chapter 8<BR>Estimators and Statistical Tests</P>
<P>Chapter 9<BR>Regression</P>
<P>Chapter 10<BR>Other regressions</P>
<P>Chapter 11<BR>Regression Problems – and<BR>their Solutions</P>
<P>Chapter 12<BR>Generalized Linear Models:<BR>logistic regression, Poisson<BR>regression, etc.</P>
<P>Chapter 13<BR>Analysis of Variance (Anova)</P>
<P>Chapter 14<BR>Mixed Models</P>
<P>Chapter 15<BR>Time series</P>
<P>Chapter 16<BR>Miscellaneous</P>
<P>Chapter 17<BR>Applications</P>
<P> </P>
<P> </P>
<P> </P>