Among various structures in Stata for cycling through lists (whether lists of variable names, numbers, or arbitrary strings) are foreach and forvalues, introduced in Stata 7 in 2001, and for, introduced in Stata 3.1 in 1992, and revised in 5.0 (1997) and 6.0 (1999). Typically, each member of the...

It is commonplace to compute various flavours of residual and predicted values after fitting many different kinds of model. Official Stata supplies as built-ins a bundle of commands originally written for use after regress: avplot, avplots, cprplot, acprplot, lvr2plot, rvfplot and rvpplot. These...

Circular data are a large class of directional data, which are of interest to scientists in many fields, including biologists (movements of migrating animals), meteorologists (winds), geologists (directions of joints and faults), and geomorphologists (landforms, oriented stones). These examples...

The Stata Technical Bulletin (STB ) started publication in March 1991 and ceased in May 2001, after 61 bimonthly issues. It has been succeeded by the Stata Journal (SJ), of which two quarterly issues have so far appeared, 1(1) for the last quarter of 2001 and 2(1) for the first of 2002. Although...

Graphics and categorical data are odd bedfellows. A pie chart of the frequencies of a categorical variable may be the first statistical technique taught to young children, and there is a very substantial if self-contained literature on biplots and related methods. Yet in between many texts and...

Circular data are a large class of directional data, which are of interest to scientists in many fields, including biologists (movements of migrating animals), meteorologists (winds), geologists (directions of joints and faults), and geomorphologists (landforms, oriented stones). These examples...

Seasonal effects are dominant in many environmental time series and important or at least notable in many economic or biomedical time series, to name only a few application areas represented in the Stata user community. In several fields it seems rare to use anything other than basic line graphs...

It is commonplace to compute various flavours of residual and predicted values after fitting many different kinds of model. This allows production of a great variety of diagnostic graphics, used to examine the general and specific fit between data and model and to seek possible means of...

Most statistical data analysis, and thus most graphical data analysis, is directed towards modelling of relationships, but many statistical problems have a different flavour: their focus is comparison, and the key question is assessing agreement or disagreement between two or more data sets or...

Despite a history now over 30 years long, the adoption of generalised linear models (GLMs) remains patchy: they are well known in several fields, but used little if at all in many others. One major advantage of GLMs is that they return predictions on the scale of the response. The use of link...