Welcome!

Welcome to the digital home of scientific research in the Collyer Lab of Evolutionary Morphometrics and Statistics. This site serves as a hub for the researchers in the Collyer Lab, present and past, and the work that has culminated from their endeavors.

Our Focus

We are dedicated to advancing capabilities for analysis of complex morphological data in evolutionary biology research. Our work is theoretical in nature, especially developing novel methods for analysis of high-dimensional data. We also develop software and focus on research to increase computational efficiency.

Recent News

Our Vibe

We are scientists who help increase the research efficacy for other scientists!

# Much of what we do involves developing R packages for analyses like these

library(RRPP)
library(ggplot2)
data(Pupfish)
PCA <- ordinate(Pupfish$coords)
P <- plot(PCA, 
          pch = 20 + as.numeric(Pupfish$Sex),
          bg = as.numeric(Pupfish$Pop) * 2)

P2 <- convert2ggplot(P)
P2 +
  geom_vline(xintercept = 0, 
             color = "darkorange",  
             linewidth = 2) +
  geom_hline(yintercept = 0, 
             color = "darkorange",  
             linewidth = 2)

library(geomorph)
data(scallops)
GPA <- gpagen(A = scallops$coorddata, 
              curves = scallops$curvslide, 
              surfaces = scallops$surfslide,
              print.progress = FALSE)

An interactive plot

plot(GPA)
ACKNOWLEDGEMENT and DISCLAIMER:

National Science Foundation

Much of the research described in these web pages has been supported in part by NSF grants DBI-2621572, DEB-2146220, DBI-1902694, DEB-1737895, and DEB-1556540. Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Website

For inquiries or collaboration opportunities, please reach out to m.collyer at chatham dot edu .