Speaking Stata: Logarithmic Binning and Labeling

Author:

Cox Nicholas J.1

Affiliation:

1. Department of Geography Durham University Durham, UK

Abstract

Histograms on logarithmic scale cannot be produced by an option like xscale(log). You need first to transform the variable concerned with a logarithm function. That raises small choices: how to select bin start, bin width, and informative axis labels and titles? Problems and solutions are discussed here in detail. In contrast, for logarithmic scales on other graphs, options xscale(log) and yscale(log) may do most of what you want. But there is usually still scope for “nicer” axis labels than are given by default and indeed scope for differing tastes on what “nice” means. This column introduces the niceloglabels command for helping (even automating) label choice. Historical notes and references are sprinkled throughout.

Publisher

SAGE Publications

Subject

Mathematics (miscellaneous)

Reference31 articles.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Speaking Stata: Quantile–quantile plots, generalized;The Stata Journal: Promoting communications on statistics and Stata;2024-09

2. blandaltman: A command to create variants of Bland–Altman plots;The Stata Journal: Promoting communications on statistics and Stata;2023-09

3. Speaking Stata: Automating axis labels: Nice numbers and transformed scales;The Stata Journal: Promoting communications on statistics and Stata;2022-12

4. Speaking Stata: Loops in parallel;The Stata Journal: Promoting communications on statistics and Stata;2021-12

5. Speaking Stata: Some simple devices to ease the spaghetti problem;The Stata Journal: Promoting communications on statistics and Stata;2019-12

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