R: Sales of oranges

oranges {emmeans} | R Documentation

## 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

SAS sample dataset. Download from http://ftp.sas.com/samples/A56655.

### 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)

[Package emmeans version 1.1.3 Index]