Birchiterative scalinglog‐linear modelsmarginal totalsmostellerizingrakingrimweightingUptondoi:10.1002/9781119450382.ch13J.G. Upton, Graham
An Analysis of Variance for Categorical Data A measure of variation for categorical data is discussed. We develop an analysis of variance for a one-way table, where the response variable is categorica... RJ Light,BH Margolin - 《Publications of the American Statistical Association》 被引量: ...
Each new topic in categorical data analysis is illustrated with an example that readers can apply to their own sets of data. In many cases, R code is given and excerpts from the resulting output are presented. In the context of log-linear models for cross-tabulations, two specialties of th...
Cross-tabulation, also known as cross-tab or contingency table, is a statistical tool used for categorical data. Categorical data involves values that are mutually exclusive to each other. Data is always collected in numbers, but numbers have no value unless they mean something. 4,7,9 are mer...
Categorical and directional data 1989. Spatial data analysis by example- Volume 2: Categorical and directional data. John Wiley and Sons Ltd., Chichester. 416pp... GJG Upton,B Fingleton - Wiley 被引量: 83发表: 1989年 Spatial data analysis by example. Vol. 2: Categorical and directional data...
Python program for categorical plotting # Data Visualization using Python# Categorical Plottingimportmatplotlib.pyplotasplt names=['Rabhes','Grpsh J.','John C. Dave']values=[45646,75640,42645]# example 1plt.figure()plt.plot(names,values,color='y')plt.ylabel('Income')plt.title('Income Compar...
CRM Dataset Shared This data comes from the KDD Cup 2009 customer relationship prediction challenge (orange_small_train.data.zip). The dataset contains 50K customers from the French Telecom company Orange. Each customer has 230 anonymized features, 190 of which are numeric and 40 are categorical....
Chapters 3, 4, and 5 describe R functions for working with categorical data, producing statistical graphics, and implement- ing the exploratory data analysis methods of John Tukey. Chapter 6 presents R procedures for basic inference about proportions and means. Chapters 7 through 10 describe the ...
aWith nonmetric (i.e., categorical) data, we have lists of attributes as features rather than real numbers. For example, a fruit may be described as {(color¼) red,(texture¼), shiny, (taste¼) sweet, (size¼) large} or a segment of DNA as a sequence of base pairs, such...
(1989) Spatial Data Analysis by Example, Vol 2: Categorical and Directional data. John Wiley & Sons, Chichester. :Upton, G, Fingleton, B (1989) Spatial data analysis by example, vol 2: categorical and directional data. Wiley, Chichester...