CODEWITHSUNDEEP
rggplot2crosstab
amrrs
amrrs

Reputation: 6325

Improved Mosaic Plot (like Heatmap or bubbles)

I've two Factors and I'm making a crosstab of it.

x<-table(clean$VMail.Plan,clean$International.Plan)

I actually would like to graphically represent it like this:

enter image description here

mosaicplot(x,data=clean,color=2:4,legend=TRUE,las = 1)

The normal mosaicplot is not very attractive and I couldn't use ggplot2 package make this more attractive. Either something like a heatmap or with bubbles?

The actual Contingency table:

        No   Yes
  No    27  239
  Yes  243 2159

Upvotes: 3

Views: 3624

Answers (1)

Jaap
Jaap

Reputation: 83235

First reshape you data to long format:

library(reshape2)
x <- melt(df)
names(x) <- c("iplan","vplan","value")

After that you can easily make a plot with for example geom_point:

library(ggplot2)
ggplot(x, aes(iplan, vplan)) +
  geom_point(aes(size = value), alpha=0.8, color="darkgreen", show_guide=FALSE) +
  geom_text(aes(label = value), color="white") +
  scale_size(range = c(15,50)) +
  theme_bw()

this gives:

enter image description here

As an alternative, you could also consider geom_tile:

ggplot(x, aes(iplan, vplan)) +
  geom_tile(aes(fill = value)) +
  geom_text(aes(label = value), color="white") +
  scale_x_discrete(expand = c(0,0)) +
  scale_y_discrete(expand = c(0,0)) +
  scale_fill_gradient("Legend label", low = "lightblue", high = "blue") +
  theme_bw()

wich gives:

enter image description here

Used data:

df <- structure(list(iplan = structure(1:2, .Label = c("No", "Yes"), class = "factor"), No = c(27L, 243L), Yes = c(239L, 2159L)), .Names = c("iplan", "No", "Yes"), class = "data.frame", row.names = c(NA, -2L))

Upvotes: 10

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