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Speaking Stata: Graphing categorical and compositional data AgEcon
Cox, Nicholas J..
A variety of graphs have been devised for categorical and compositional data, ranging from widely familiar to more unusual displays. Both official Stata commands and user-written programs are available. After a stacking trick for binary responses is explained, bar charts and related displays for cross-tabulations are discussed in detail. Tips and tricks are introduced for plotting cumulative distributions of graded (ordinal) data. Triangular plots are explained for three-way compositions, such as three proportions or percentages.
Tipo: Journal Article Palavras-chave: Graphics; Categorical data; Binary data; Nominal data; Ordinal data; Grades; Compositional data; Cross-tabulations; Bar charts; Cumulative distributions; Logit scale; Catplot; Tabplot; Tableplot; Distplot; Mylabels; Triplot; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116238
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Speaking Stata: Graphing distributions AgEcon
Cox, Nicholas J..
Graphing univariate distributions is central to both statistical graphics, in general, and Stata’s graphics, in particular. Now that Stata 8 is out, a review of official and user-written commands is timely. The emphasis here is on going beyond what is obviously and readily available, with pointers to minor and major trickery and various user-written commands. For plotting histogram-like displays, kernel-density estimates and plots based on distribution functions or quantile functions, a large variety of choices is now available to the researcher.
Tipo: Journal Article Palavras-chave: Graphics; Histogram; Spikeplot; Dotplot; Onewayplot; Kdensity; Distplot; Qplot; Skewplot; Bin width; Rug; Density function; Kernel estimation; Transformations; Logarithmic scale; Root scale; Intensity function; Distribution function; Quantile function; Skewness; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116213
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Speaking Stata: The protean quantile plot AgEcon
Cox, Nicholas J..
Quantile plots showing by default ordered values versus cumulative probabilities are both well known and also often neglected, considering their major advantages. Their flexibility and power is emphasized by using the qplot program to show several variants on the standard form, making full use of options for reverse, ranked, and transformed scales and for superimposing and juxtaposing quantile traces. Examples are drawn from the analysis of species abundance data in ecology. A revised version of qplot is formally released with this column. Distribution plots in which the axes are interchanged are also discussed briefly, in conjunction with a revised version of distplot, also released now.
Tipo: Journal Article Palavras-chave: Qplot; Distplot; Distributions; Quantile plots; Statistical graphics; Species abundance; Ecology; Whittaker plots; Broken stick; Lognormal; Power laws; Scaling laws; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117532
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