Leps, Jan <br/><br/>
Biostatistics with R : an introductory guide for field biologists 
/ Jan Leps & Petr Smilauer  
 - UK :  Cambridge University Press,  2020 
 - 365 p.  
<br/><br/>1.	Basic statistical terms, sample statistics <br/>2.	Testing hypotheses, goodness of fit test <br/>3.	Contingency tables <br/>4.	Normal distribution <br/>5.	Student’s t distribution <br/>6.	Comparing two samples<br/>7.	Non-parametric methods for two samples <br/>8.	Oneway analysis of variance (ANOVA) and Kruskal-Wallis test <br/>9.	Two-way analysis of variance <br/>10.	Data transformations for analysis of variance <br/>11.	Hierarchical ANOVA, split-plot ANOVA, repeated measurements<br/>12.	Simple linear regression: dependency between two quantitative varaibles <br/>13.	Correlation: relationship between two quantitative variables <br/>14.	Multiple regression and general linear models <br/>15.	Generalized linear models<br/>16.	Regression models for non-linear relationships<br/>17.	Structural equation models <br/>18.	Discrete distribution and spatial point patterns <br/>19.	Survival analysis  <br/><br/> 
<br/><br/><label>ISBN: </label>9781108727341 (pbk) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Biology--Biometry--R (Computer program language)
<br/><br/><label>Dewey Class. No.: </label>570.1519  / L559