96,95 €
96,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
48 °P sammeln
96,95 €
96,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
48 °P sammeln
Als Download kaufen
96,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
48 °P sammeln
Jetzt verschenken
96,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
48 °P sammeln
  • Format: PDF

This book is addressed to both institutional researchers and students. For the first time, it explains how to use R for performing shape statistical analysis. It covers many theoretical and applied aspects, and leads the user as well as the developer to get adaptability in an evolving science.

Produktbeschreibung
This book is addressed to both institutional researchers and students. For the first time, it explains how to use R for performing shape statistical analysis. It covers many theoretical and applied aspects, and leads the user as well as the developer to get adaptability in an evolving science.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Rezensionen
From the reviews:

"A key feature of this book is the extensive use of R, both through the direct use of code and through references to a large number of packages relevant to the morphometrics area.... This is an interesting book and I certainly learned new things by reading it. Its particular contribution is to bring together a wide variety of tools, both statistical and computational, which are relevant to morphometrics and to present these in a very practical manner through R. Those who are new to the topic are likely to gain most value from the book once they have gained some familiarity with at least some of the tools involved. However, the synthesis of tools presented here will undoubtedly lead readers into contact with, and subsequent understanding of. a wider array of methods at a very practical level." (Adrian Bowman, The American Statistical Association, Volume 31, September 2009)