Mosaic Displays for glmlist and logllmlist Objects
This function provides a convenient interface for viewing mosaic displays
associated with a collection of glm models for freqency tables that have
been stored in a glmlist
or loglmlist
object. You can plot either selected models
individually, or mosaics for all models in an array of viewports.
## S3 method for class 'glmlist' mosaic(x, selection, panel=mosaic, type=c("observed", "expected"), legend=ask | !missing(selection), main=NULL, ask=TRUE, graphics=TRUE, rows, cols, newpage=TRUE, ...) ## S3 method for class 'loglmlist' mosaic(x, selection, panel=mosaic, type=c("observed", "expected"), legend=ask | !missing(selection), main=NULL, ask=TRUE, graphics=TRUE, rows, cols, newpage=TRUE, ...)
x |
a |
selection |
the index or name of one |
panel |
|
type |
a character string indicating whether the |
legend |
logical: show a legend for residuals in the mosaic display(s)? The default behavior is to include a legend
when only a single plot is shown, i.e., if |
main |
either a logical, or a vector of character strings used for plotting the main title.
If main is a logical and |
ask |
logical: should the function display a menu of models, when one is not specified in |
graphics |
logical: use a graphic dialog box when |
rows,cols |
when |
newpage |
start a new page? (only applies to |
... |
other arguments passed to |
Most details of the plots produced can be controlled via ... arguments
as shown in some of the examples below. In particular, with panel=sieve
you need to also pass gp=shading_Friendly
to get a color version.
Returns the result of mosaic.glm
.
Michael Friendly
David Meyer, Achim Zeileis, and Kurt Hornik (2006). The Strucplot Framework: Visualizing Multi-Way
Contingency Tables with vcd. Journal of Statistical Software, 17(3), 1-48.
https://www.jstatsoft.org/v17/i03/, available as vignette("strucplot", package="vcd")
.
mosaic.glm
, mosaic
,
strucplot
, for the many parameters that control the details of mosaic plots.
data(JobSatisfaction, package="vcd") # view all pairwise mosaics pairs(xtabs(Freq~management+supervisor+own, data=JobSatisfaction), shade=TRUE, diag_panel=pairs_diagonal_mosaic) modSat <- Kway(Freq ~ management+supervisor+own, data=JobSatisfaction, family=poisson, prefix="JobSat") names(modSat) ## Not run: mosaic(modSat) # uses menu, if interactive() ## End(Not run) mosaic(modSat, "JobSat.1") # model label mosaic(modSat, 2) # model index # supply a formula to determine the order of variables in the mosaic mosaic(modSat, 2, formula=~own+supervisor+management) mosaic(modSat, ask=FALSE) # uses viewports # use a different panel function, label the observed valued in the cells mosaic(modSat, 1, main=TRUE, panel=sieve, gp=shading_Friendly, labeling=labeling_values) data(Mental) indep <- glm(Freq ~ mental+ses, family = poisson, data = Mental) Cscore <- as.numeric(Mental$ses) Rscore <- as.numeric(Mental$mental) coleff <- glm(Freq ~ mental + ses + Rscore:ses, family = poisson, data = Mental) roweff <- glm(Freq ~ mental + ses + mental:Cscore, family = poisson, data = Mental) linlin <- glm(Freq ~ mental + ses + Rscore:Cscore, family = poisson, data = Mental) # assign names for the plot labels modMental <- glmlist(Indep=indep, ColEff=coleff, RowEff=roweff, `Lin x Lin`=linlin) mosaic(modMental, ask=FALSE, margins=c(3,1,1,2), labeling_args=list(abbreviate_labs=5))
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