Data visualization with R. Mosaic plot . ---Ref: https://www.stat.auckland.ac.nz/~ihaka/120/Lectures/lecture17.pdf http://www.statmethods.net/advgraphs/mosaic.html https://stat.ethz.ch/R-manual/R-devel/library/graphics/html/mosaicplot.html

1. Prepared by Volkan OBAN
Visualizing Categorical Data
Mosaic Plots:

2. Example:
mat <- matrix(c(120,230,84,70,130,83,13,26,18),3)
dimnames(mat) <- list(c("good","fair","poor"),c("a","b","c"))
mat
a b c
good 120 70 13
fair 230 130 26
poor 84 83 18
library(vcd)
mosaic(mat, shade=TRUE)

3. Example:
> library(vcd)
> assoc(HairEyeColor, shade=TRUE)

4. Example:
> library(vcd)
> mosaic(HairEyeColor, shade=TRUE, legend=TRUE)

5. Example:
>library(vcd)
> require(stats)
> mosaicplot(Titanic, main = "Survival on the Titanic", color = TRUE)

6. Example:
> fm <- loglin(HairEyeColor, list(1, 2, 3))
2 iterations: deviation 5.684342e-14
> pchisq(fm$pearson, fm$df, lower.tail = FALSE)
[1] 5.320872e-23
> mosaicplot(HairEyeColor, shade = TRUE, margin = list(1:2, 3))

7. Example
> data(Titanic)
>
> mosaicplot(Titanic,main = "Survival on the Titanic",col = hcl(c(240, 120)
),off = c(5, 5, 5, 5))

8. Example:
> data(UCBAdmissions)
>
> mosaicplot(UCBAdmissions, sort = 3:1,col = hcl(c(120, 10)),main = "Studen
t admissions at UC Berkeley")
Ref: https://www.stat.auckland.ac.nz/~ihaka/120/Lectures/lecture17.pdf
http://www.statmethods.net/advgraphs/mosaic.html
https://stat.ethz.ch/R-manual/R-devel/library/graphics/html/mosaicplot.html