


Registros recuperados: 11  

 

 

 

 

 

 


Cox, Nicholas J.. 
Time series showing seasonality—marked variation with time of year—are of interest to many scientists, including climatologists, other environmental scientists, epidemiologists, and economists. The usual graphs plotting response variables against time, or even time of year, are not always the most effective at showing the fine structure of seasonality. I survey various modifications of the usual graphs and other kinds of graphs with a range of examples. Although I introduce here two new Stata commands, cycleplot and sliceplot, I emphasize exploiting standard functions, data management commands, and graph options to get the graphs desired. 
Tipo: Journal Article 
Palavraschave: Cycleplot; Sliceplot; Seasonality; Time series; Graphics; Cycle plot; Rotation; State space; Incidence plots; Folding; Repeating; Research Methods/ Statistical Methods. 
Ano: 2006 
URL: http://purl.umn.edu/117590 
 

 


Cox, Nicholas J.. 
The term spineplot has been applied over the last decade or so to a type of bar chart used particularly for showing frequencies, proportions, or percentages of two crossclassified categorical variables. The principle is that the areas of rectangular tiles are proportional to the frequencies in the cells of a contingency table. Often both coarse and fine structure are easy to see, including departures from independence. The main idea has, in fact, been rediscovered repeatedly over at least the last 130 years. In its most general form, it has been widely publicized under the name mosaic plots. This column introduces, discusses, and exemplifies a Stata implementation of spineplots. It is noted that a restriction to two variables is more apparent than real,... 
Tipo: Article 
Palavraschave: Spineplots; Mosaic plots; Bar charts; Graphics; Categorical data; Research Methods/ Statistical Methods. 
Ano: 2008 
URL: http://purl.umn.edu/120931 
 


Cox, Nicholas J.. 
Stemandleaf displays have been widely taught since John W. Tukey publicized them energetically in the 1970s. They remain useful for many distributions of small or modest size, especially for showing fine structure such as digit preference. Stata’s implementation stem produces typed text displays and has some inevitable limitations, especially for comparison of two or more displays. One can recreate stemandleaf displays with a few basic Stata commands as scatterplots of stem variable versus position on line with leaves shown as marker labels. Comparison of displays then becomes easy and natural using scatter, by(). Backtoback presentation of paired displays is also possible. I discuss variants on standard stemandleaf displays in which each distinct... 
Tipo: Article 
Palavraschave: Stemplot; Stemandleaf; Graphics; Distributions; Digit preference; Research Methods/ Statistical Methods. 
Ano: 2007 
URL: http://purl.umn.edu/119285 
 
Registros recuperados: 11  


