oranges {lsmeans} | R Documentation

## Orange sales

### Description

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

### Usage

    data(oranges)

### Format

A data frame with 36 observations on the following 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

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

    require(lsmeans)

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

    # Example on p.246
    lsmeans(oranges.lm, "day", at = list(price1 = 0))

[Package lsmeans version 2.25 Index]