oranges: Sales of oranges

In emmeans: Estimated Marginal Means, aka Least-Squares Means

Sales of oranges

Description

This example dataset on sales of oranges has two factors, two covariates, and two responses. There is one observation per factor combination.

Usage

oranges

Format

A data frame with 36 observations and 6 variables:

store

a factor with levels 1 2 3 4 5 6. The store that was observed.

day

a factor with levels 1 2 3 4 5 6. The day the observation was taken (same for each store).

price1

a numeric vector. Price of variety 1.

price2

a numeric vector. Price of variety 2.

sales1

a numeric vector. Sales (per customer) of variety 1.

sales2

a numeric vector. Sales (per customer) of variety 2.

Source

This is (or once was) available as a SAS sample dataset.

References

Littell, R., Stroup W., Freund, R. (2002) SAS For Linear Models (4th edition). SAS Institute. ISBN 1-59047-023-0.

Examples

# Example on p.244 of Littell et al.
oranges.lm <- lm(sales1 ~ price1*day, data = oranges)
emmeans(oranges.lm, "day")

# Example on p.246 of Littell et al.
emmeans(oranges.lm, "day", at = list(price1 = 0))

# A more sensible model to consider, IMHO (see vignette("interactions"))
org.mlm <- lm(cbind(sales1, sales2) ~ price1 * price2 + day + store, 
              data = oranges)

emmeans documentation built on Aug. 28, 2025, 1:09 a.m.