Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically for archaeologists. It shows how to use the system to analyze many types of archaeological data. Part I includes tutorials on R, with applications to real archaeological data showing how to compute descriptive statistics, create tables, and produce a wide variety of charts and graphs. Part II addresses the major multivariate approaches used by archaeologists, including multiple regression (and the generalized linear model); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster analysis. Part III covers specialized topics in archaeology, including intra-site spatial analysis, seriation, and assemblage diversity.

This book explains the origins of what we generally refer to as "Human Nature." Despite the tremendous variation in human behavior, there are several distinct traits that are common to our species in general and, in fact, common to all species. These include dominance and submission, aggression, territoriality, altruism, loyalty to family and group, mistrust of strangers and sex drive along with all of our automatic bodily functions such as heartbeat and respiration.
These functions and traits can be all lumped together under one heading that we refer to as the "Instinct of Survival" and originate in a small and very ancient part of our brain often called the "Primitive Brain Stem."
My purpose in exploring these facts relating to human behavior is to inform the reader as to the natural origins of what are often completely illogical, unreasonable and destructive emotions that result in war, hatred, violence, bigotry and destruction. The alternatives of peace, cooperation, reason and constructive action are simply decisions we all can make.

Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically for archaeologists. It shows how to use the system to analyze many types of archaeological data. Part I includes tutorials on R, with applications to real archaeological data showing how to compute descriptive statistics, create tables, and produce a wide variety of charts and graphs. Part II addresses the major multivariate approaches used by archaeologists, including multiple regression (and the generalized linear model); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster analysis. Part III covers specialized topics in archaeology, including intra-site spatial analysis, seriation, and assemblage diversity.

The Northeastern Trans-Pecos region of Texas is an unforgiving environment for anyone living off the land, yet nomadic hunters and gatherers roamed its deserts and mountains and sheltered in caves and sinkholes from around AD 200 to 1450. This book provides detailed insights into the lifeways of these little-known prehistoric peoples. It places their occupation of the region in a wider temporal and cultural framework through a comprehensive description and analysis of the archaeological remains excavated by Donny L. Hamilton at Granado Cave in 1978. Hamilton begins with a brief overview of the geology and environment of the Granado Cave area and reviews previous archaeological investigations. Then he and other researchers present detailed analyses of the burials and other material remains found in the cave, as well as the results of radiocarbon dating. From these findings, he reconstructs the subsistence patterns and burial practices of these Native Americans, whom he identifies as a distinct group that was pushed into the environment by surrounding peoples. He proposes that they should be represented by a new archaeological phase, thus helping to clarify the poorly understood late prehistory of the Trans-Pecos.