Bibliographic Information

Genstat 5 reference manual

planned and written by the Genstat 5 Committee, Statistics Department, Rothamsted Experimetal Station ; R.W. Payne (Chairman) ... [et al.] ; other contributing authors, J.C. Gower, G. Tunnicliffe Wilson ; technical writer, L.J. Paterson

(Oxford science publications)

Clarendon Press , Oxford University Press, 1987

  • pbk.

Other Title

Genstat five reference manual

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Note

Bibliography: p. 729-733

Includes index

Description and Table of Contents
Volume

ISBN 9780198522126

Description

Genstat 5 is the latest version of the well-known statistical package Genstat. It is a package of choice for biologists and agricultural workers faced with a range of statistical problems. The aims of its design have been to simplify and rationalize the syntax, to make interactive use more convenient, and to extend the statistical, programming, and graphical facilities. Statistical facilities include: (1) regression (linear and generalized linear models, non-linear models); (2) analysis of designed experiments (all generally balanced designs); (3) multivariate analysis (including principal component, canonical-variate, and principle-co-ordinate analyses) and cluster analysis (hierarchical classifications); and (4) time series analysis (Box-Jenkins ARIMA models and spectral analysis methods). Other facilities cover data manipulation, calculations, text handling, tabulation, and graphics (point and line plots, histograms, contour plots, and pie charts). However, Genstat provides more than just a range of pre-programmed analyses, extensive though these are. Its command language has all the attributes of a general-purpose computing language. Written by the same group as devised the package this volume will be the primary reference source for all Genstat 5 users, biologists and agricultural scientists, etc. dealing with statistics.

Table of Contents

  • Introduction, terminology, and syntax
  • The environment of a Genstat program
  • Data structures
  • Input and Output
  • Data handling
  • Job control
  • Graphical display
  • Regression analysis
  • Analysis of designed experiments
  • Multivariate and cluster analysis
  • Analysis of time series
  • Extending Genstat
  • Appendix 1: Reference summary
  • Appendix 2: Diagnostics.
Volume

pbk. ISBN 9780198522171

Description

Genstat is the latest version of the statistical package Genstat. This volume, written by the same group who devised the package, is intended to be the primary reference source for all Genstat 5 users. Genstat is a package which has been used particularly by biologists and agricultural workers faced with a range of statistical problems. The aims of its design have been to simplify and rationalize the syntax, to make interactive use more convenient and to extend the statistical, programming and graphical facilities. Statistical facilities include: regression (linear and generalized linear models, non-linear models), analysis of designed experiments (all generally-balanced designs), multivariate analysis (including principal-component, canonical-variate and principal-co-ordinate analyses) and cluster analysis (hierarchical and non-hierarchical classifications) and time series analysis (Box-Jenkins ARIMA models and spectral analysis methods). Other facilities cover data manipulation, calculations, text handling, tabulation and graphics (point and line plots, histograms, contour plots and pie charts). Genstat's command language also has all the attributes of a general-purpose computing language, aiming to allow its facilities to be modified and extended and new forms of analysis to be devised.

Table of Contents

  • Part 1 Introduction, terminology and syntax: Genstat programs
  • characters
  • items
  • lists
  • expressions and formulae
  • statements
  • how to compact programs
  • conventions for examples in later chapters. Part 2 The environment of a Genstat program: information about the system
  • how to set details of the environment
  • accessing details of the environment of a program
  • saving space
  • accessing details of data structures. Part 3 Data structures: declarations
  • single-valued data structures
  • vectors and pointers
  • matrices
  • tables
  • compound structures. Part 4 Input and output: reading data
  • printing data
  • getting access to external files
  • transferring input and output control
  • storing and retrieving structures
  • storing and retrieving data and programs in unformatted files. Part 5 Data handling: numerical calculations
  • functions for use in expressions
  • transferring and manipulating values
  • operations on text, factors, pointers, matrices and compound structures and tables. Part 6 Job control: Genstat programs
  • program control in Genstat
  • procedures
  • debugging Genstat programs. Part 7 Graphical display: line-printer graphics
  • the environment for high-quality graphics. Part 8 Regression analysis: simple and multiple linear regression
  • linear regression with grouped or qualitative data
  • generalized linear regression
  • standard nonlinear curves
  • general nonlinear regression, and minimized a function. Part 9 Analysis of designed experiments: designs with a single error term
  • designs with several error terms
  • analysis of covariance
  • missing values
  • contrasts between treatments
  • saving information from an analysis of variance
  • non-orthogonality and balance. Part 10 Multivariate and cluster analysis: analyses based on sums of squares and products
  • forming measures of association
  • ordination from associations
  • hierarchical cluster analysis
  • directives associated with hierarchical clustering
  • non-hierarchical classification
  • Procrustes rotation. Part 11 Analysis of time series: correlation
  • Fourier transformation
  • ARIMA modelling
  • regression with autocorrelated (ARIMA) errors
  • multi-input transfer-function models
  • filtering time series
  • forming preliminary estimates and displaying models. Part 12 Extending Genstat: writing programs in the Genstat language
  • adding Fortran subprograms with OWN directive
  • running an external program with the PASS directive
  • defining new directives
  • communicating with other programs. Appendices: the Genstat language
  • data handling
  • statistical analyses
  • diagnostics.

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