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Here's the top 50 records of my data:

structure(list(Day = structure(c(2L, 2L, 5L, 7L, 7L, 6L, 1L, 3L, 7L, 3L, 7L, 5L, 5L, 3L, 7L, 1L, 1L, 3L, 6L, 2L, 6L, 2L, 3L, 4L, 7L, 6L, 3L, 7L, 6L, 7L, 2L, 6L, 7L, 7L, 2L, 3L, 6L, 4L, 3L, 2L, 5L, 6L, 7L, 7L, 3L, 6L, 3L, 4L, 6L, 4L), .Label = c("1", "2", "3", "4", "5", "6", "7"), class = "factor"), BASKET_SIZE = structure(c(1L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 3L, 3L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 1L), .Label = c("L", "M", "S"), class = "factor")), .Names = c("Day", "BASKET_SIZE"), row.names = c(NA, 50L), class = "data.frame")

Basically I have 3 basket sizes (S,M,L) and 7 days of the week (1-7). I plotted the data with plot(e), and that gave me this:

enter image description here

So this would be good if I wanted to know the basket size dist of each day, but I'm more interested in the total amount of each basket size in each day.


Here's what I've tried: barchart(Day~BASKET_SIZE,data=e,groups=BASKET_SIZE) based on this post: Simplest way to do grouped barplot. But I can't seem to get the correct axis or distributions:

enter image description here

Also, I'd like it to be vertical, say the sum of each basket size, and have a legend showing th ecolor of each basket size. This chart that I have seems to convert my S,M,L to numbers somehow... I know it's not right because I have 3.8k rows of data.

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Travis Heeter
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1 Answers1

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How about

tt  <- t(table(dd))
barplot(as.matrix(tt),beside=TRUE)

?

enter image description here

You'd have to add the legend manually (?legend).

You could also do this with ggplot2, e.g.

library(ggplot2)
ggplot(dd,aes(Day,fill=BASKET_SIZE))+
    geom_bar(position="dodge")

ggplot will give you legends automatically. The example here has some empty categories (e.g. no large baskets on day 1); if you want to handle that case properly, it looks like you'll have to pre-tabulate the data (but if your real data set is large, that might not be a problem).

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Ben Bolker
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