Sources of Knowledge of Cancer
Observational data on a sample of 1729 individuals, cross-classified in a 2^5 table according to their sources of information (read newspapers, listen to the radio, do 'solid' reading, attend lectures) and whether they have good or poor knowledge regarding cancer. Knowledge of cancer is often treated as the response.
data(Dyke)
A 5-dimensional array resulting from cross-tabulating 5 variables for 1729 observations. The variable names and their levels are:
No | Name | Levels |
1 | Knowledge
|
"Good", "Poor"
|
2 | Reading
|
"No", "Yes"
|
3 | Radio
|
"No", "Yes"
|
4 | Lectures
|
"No", "Yes"
|
5 | Newspaper
|
"No", "Yes"
|
Fienberg, S. E. (1980). The Analysis of Cross-Classified Categorical Data Cambridge, MA: MIT Press, p. 85, Table 5-6.
Dyke, G. V. and Patterson, H. D. (1952). Analysis of factorial arrangements when the data are proportions. Biometrics, 8, 1-12.
Lindsey, J. K. (1993). Models for Repeated Measurements Oxford, UK: Oxford University Press, p. 57.
data(Dyke) # independence model mosaic(Dyke, shade=TRUE) # null model, Knowledge as response, independent of others require(MASS) dyke.mod0 <- loglm(~ Knowledge + (Reading * Radio * Lectures * Newspaper), data=Dyke) dyke.mod0 mosaic(dyke.mod0) # view as doubledecker plot Dyke <- Dyke[2:1,,,,] # make Good the highlighted value of Knowledge doubledecker(Knowledge ~ ., data=Dyke) # better version, with some options doubledecker(Knowledge ~ Lectures + Reading + Newspaper + Radio, data=Dyke, margins = c(1,6, length(dim(Dyke)) + 1, 1), fill_boxes=list(rep(c("white", gray(.90)),4)) ) # separate (conditional) plots for those who attend lectures and those who do not doubledecker(Knowledge ~ Reading + Newspaper + Radio, data=Dyke[,,,1,], main="Do not attend lectures", margins = c(1,6, length(dim(Dyke)) + 1, 1), fill_boxes=list(rep(c("white", gray(.90)),3)) ) doubledecker(Knowledge ~ Reading + Newspaper + Radio, data=Dyke[,,,2,], main="Attend lectures", margins = c(1,6, length(dim(Dyke)) + 1, 1), fill_boxes=list(rep(c("white", gray(.90)),3)) ) drop1(dyke.mod0, test="Chisq")
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