Multivariate analysis of the differences in morphology between the different populations of P. miliaris, based on post-hoc pairwise testing using a one way ANOSIM.

Multivariate morphometrics in aquaculture: A case study of six stocks of the common carp (Cyprinus carpio) from Italy

M. Corti
R.S. Thorpe
Luciana Sola
V. Sbordoni
S. Cataudella

January 1988

Multivariate morphometry was used to investigate the distinctness and interrelationships of six stoc...

Once upon Multivariate Analyses: When They Tell Several Stories about Biological Evolution.

Sabrina Renaud
Anne-Béatrice Dufour
Emilie A Hardouin
Ronan Ledevin
Jean-Christophe Auffray

Geometric morphometrics aims to characterize of the geometry of complex traits. It is therefore by e...

Results of the multivariate analyses of morphometric variability in Microhyla nilphamariensis sp. nov., M. ornata and M. rubra.

Mohammad Sajid Ali Howlader (689199)
Abhilash Nair (689200)
Sujith V. Gopalan (689201)
Juha Merilä (192116)

March 2015

(A) Discriminant and (B) principal component analysis of morphological traits.</p

non Metric Multi-Dimensional Scaling plot of the morphometric data for all the populations of P. miliaris, using the multivariate dispersion R statistic from the paired post-hoc ANOSIM testing as the metric (○ wild type diet, •(black) processed diet, ▪(dark gray) subtidal site 1, ▾(dark gray) intertidal site 1, ▪ (light gray) subtidal site 2 ▾ (light gray)intertidal site 2).

Adam D. Hughes (313083)
Lars Brunner (313086)
Elizabeth J. Cook (313089)
Maeve S. Kelly (313092)
Ben Wilson (313094)

February 2013

non Metric Multi-Dimensional Scaling plot of the morphometric data for all the populations of ...

Multivariate allometry

Christian Peter Klingenberg

January 1996

The subject of allometry is variation in morphometric variables or other features of organisms assoc...

The study of biological versus statistical variation in multivariate morphometrics: The descriptive use of multiple regression analysis. Syst. Zool

Gene H. Albrecht

January 1979

variation in multivariate morphometrics: The descriptive use of multiple regression analysis. Syst. ...

Results of mixed models testing differences between type A and type B larvae for the five analyzed morphological parameters.

Roberta Pennati (2212600)
Gentile Francesco Ficetola (409741)
Riccardo Brunetti (2212609)
Federico Caicci (2212606)
Fabio Gasparini (558353)
Francesca Griggio (66872)
Atsuko Sato (2212603)
Thomas Stach (322466)
Sabrina Kaul-Strehlow (121306)
Carmela Gissi (55058)
Lucia Manni (558352)

May 2015

Results of mixed models testing differences between type A and type B larvae for the five analyze...

Morphometric analysis of old world Talpidae (Mammalia, insectivora) using partial - warps scores

F. James Rohlf
A N N A Loy
Marco Corti

January 1996

Abstract.—We illustrate one approach to bridging the gap between the statistical methodology of mult...

Results of the statistical analyses for differences in morphological traits between cryptic species.

James C. Carolan (178656)
Tomás E. Murray (188921)
Úna Fitzpatrick (188931)
John Crossley (188940)
Hans Schmidt (188950)
Björn Cederberg (188962)
Luke McNally (188972)
Robert J. Paxton (178490)
Paul H. Williams (178643)
Mark J. F. Brown (178652)

January 2012

Results of the statistical analyses for differences in morphological traits between cryptic speci...

Bivariate biplot of R and W values of measurements from epidermal long cells of both species (P. miliaceum and S. italica).

Houyuan Lu (293787)
Jianping Zhang (161794)
Naiqin Wu (293792)
Kam-biu Liu (374650)
Deke Xu (374651)
Quan Li (157017)

February 2013

Bivariate biplot of R and W values of measurements from epidermal long cells of both species (...

Data from: On the comparison of the strength of morphological integration across morphometric datasets

Adams, Dean C.
Collyer, Michael L.

September 2016

Evolutionary morphologists frequently wish to understand the extent to which organisms are integrate...

The morphometric comparison between all the different populations of P. miliaris (□ wild type diet, ▪ (black) processed diet, ▪ (dark gray) site 1, ▪ (light gray) site 2).

Adam D. Hughes (313083)
Lars Brunner (313086)
Elizabeth J. Cook (313089)
Maeve S. Kelly (313092)
Ben Wilson (313094)

February 2013

The letters above indicate that significant differences exist between groups with different lette...

Multivariate analysis of multi-character individual profiles as a tool in systematics

CESARONI, DONATELLA
ALLEGRUCCI, GIULIANA

January 1991

The biological concept of species, which considers either reproductive isolation or the recognition ...

Once upon Multivariate Analyses: When They Tell Several Stories about Biological Evolution

Renaud, Sabrina
Dufour, Anne-Béatrice
Hardouin, Emilie,
Ledevin, Ronan
Auffray, Jean-Christophe

July 2015

International audienceGeometric morphometrics aims to characterize of the geometry of complex traits...

Multivariate morphometrics and allometry and allometry in a polymorphic ant

Diniz-Filho, J. A F
Von Zuben, C. J.
Fowler, H. G.
Schlindwein, M. N.
Bueno, O. C.

January 1994

In this paper we describe how morphological castes can be distinguished using multivariate statistic...

Multivariate morphometrics in aquaculture: A case study of six stocks of the common carp (Cyprinus carpio) from Italy

M. Corti
R.S. Thorpe
Luciana Sola
V. Sbordoni
S. Cataudella

January 1988

Multivariate morphometry was used to investigate the distinctness and interrelationships of six stoc...

Once upon Multivariate Analyses: When They Tell Several Stories about Biological Evolution.

Sabrina Renaud
Anne-Béatrice Dufour
Emilie A Hardouin
Ronan Ledevin
Jean-Christophe Auffray

Geometric morphometrics aims to characterize of the geometry of complex traits. It is therefore by e...

Results of the multivariate analyses of morphometric variability in Microhyla nilphamariensis sp. nov., M. ornata and M. rubra.

Mohammad Sajid Ali Howlader (689199)
Abhilash Nair (689200)
Sujith V. Gopalan (689201)
Juha Merilä (192116)

March 2015

(A) Discriminant and (B) principal component analysis of morphological traits.</p

non Metric Multi-Dimensional Scaling plot of the morphometric data for all the populations of P. miliaris, using the multivariate dispersion R statistic from the paired post-hoc ANOSIM testing as the metric (○ wild type diet, •(black) processed diet, ▪(dark gray) subtidal site 1, ▾(dark gray) intertidal site 1, ▪ (light gray) subtidal site 2 ▾ (light gray)intertidal site 2).

Adam D. Hughes (313083)
Lars Brunner (313086)
Elizabeth J. Cook (313089)
Maeve S. Kelly (313092)
Ben Wilson (313094)

February 2013

non Metric Multi-Dimensional Scaling plot of the morphometric data for all the populations of ...

Multivariate allometry

Christian Peter Klingenberg

January 1996

The subject of allometry is variation in morphometric variables or other features of organisms assoc...

The study of biological versus statistical variation in multivariate morphometrics: The descriptive use of multiple regression analysis. Syst. Zool

Gene H. Albrecht

January 1979

variation in multivariate morphometrics: The descriptive use of multiple regression analysis. Syst. ...

Results of mixed models testing differences between type A and type B larvae for the five analyzed morphological parameters.

Roberta Pennati (2212600)
Gentile Francesco Ficetola (409741)
Riccardo Brunetti (2212609)
Federico Caicci (2212606)
Fabio Gasparini (558353)
Francesca Griggio (66872)
Atsuko Sato (2212603)
Thomas Stach (322466)
Sabrina Kaul-Strehlow (121306)
Carmela Gissi (55058)
Lucia Manni (558352)

May 2015

Results of mixed models testing differences between type A and type B larvae for the five analyze...

Morphometric analysis of old world Talpidae (Mammalia, insectivora) using partial - warps scores

F. James Rohlf
A N N A Loy
Marco Corti

January 1996

Abstract.—We illustrate one approach to bridging the gap between the statistical methodology of mult...

Results of the statistical analyses for differences in morphological traits between cryptic species.

James C. Carolan (178656)
Tomás E. Murray (188921)
Úna Fitzpatrick (188931)
John Crossley (188940)
Hans Schmidt (188950)
Björn Cederberg (188962)
Luke McNally (188972)
Robert J. Paxton (178490)
Paul H. Williams (178643)
Mark J. F. Brown (178652)

January 2012

Results of the statistical analyses for differences in morphological traits between cryptic speci...

Bivariate biplot of R and W values of measurements from epidermal long cells of both species (P. miliaceum and S. italica).

Houyuan Lu (293787)
Jianping Zhang (161794)
Naiqin Wu (293792)
Kam-biu Liu (374650)
Deke Xu (374651)
Quan Li (157017)

February 2013

Bivariate biplot of R and W values of measurements from epidermal long cells of both species (...

Data from: On the comparison of the strength of morphological integration across morphometric datasets

Adams, Dean C.
Collyer, Michael L.

September 2016

Evolutionary morphologists frequently wish to understand the extent to which organisms are integrate...

The morphometric comparison between all the different populations of P. miliaris (□ wild type diet, ▪ (black) processed diet, ▪ (dark gray) site 1, ▪ (light gray) site 2).

Adam D. Hughes (313083)
Lars Brunner (313086)
Elizabeth J. Cook (313089)
Maeve S. Kelly (313092)
Ben Wilson (313094)

February 2013

The letters above indicate that significant differences exist between groups with different lette...

Multivariate analysis of multi-character individual profiles as a tool in systematics

CESARONI, DONATELLA
ALLEGRUCCI, GIULIANA

January 1991

The biological concept of species, which considers either reproductive isolation or the recognition ...

Once upon Multivariate Analyses: When They Tell Several Stories about Biological Evolution

Renaud, Sabrina
Dufour, Anne-Béatrice
Hardouin, Emilie,
Ledevin, Ronan
Auffray, Jean-Christophe

July 2015

International audienceGeometric morphometrics aims to characterize of the geometry of complex traits...

Multivariate morphometrics and allometry and allometry in a polymorphic ant

Diniz-Filho, J. A F
Von Zuben, C. J.
Fowler, H. G.
Schlindwein, M. N.
Bueno, O. C.

January 1994

In this paper we describe how morphological castes can be distinguished using multivariate statistic...

Multivariate morphometrics in aquaculture: A case study of six stocks of the common carp (Cyprinus carpio) from Italy

M. Corti
R.S. Thorpe
Luciana Sola
V. Sbordoni
S. Cataudella

January 1988

Multivariate morphometry was used to investigate the distinctness and interrelationships of six stoc...

Once upon Multivariate Analyses: When They Tell Several Stories about Biological Evolution.

Sabrina Renaud
Anne-Béatrice Dufour
Emilie A Hardouin
Ronan Ledevin
Jean-Christophe Auffray

Geometric morphometrics aims to characterize of the geometry of complex traits. It is therefore by e...

Results of the multivariate analyses of morphometric variability in Microhyla nilphamariensis sp. nov., M. ornata and M. rubra.

Mohammad Sajid Ali Howlader (689199)
Abhilash Nair (689200)
Sujith V. Gopalan (689201)
Juha Merilä (192116)

March 2015

(A) Discriminant and (B) principal component analysis of morphological traits.</p

Multivariate analysis of the differences in morphology between the different populations of <i>P. miliaris</i>, based on post-hoc pairwise testing using a one way ANOSIM.

Abstract

Extracted data

Multivariate analysis of the differences in morphology between the different populations of <i>P. miliaris</i>, based on post-hoc pairwise testing using a one way ANOSIM.

Abstract

Extracted data

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