Genstat 5 Reference Manual

TLDR: 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.

Abstract: 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.