oranges: Orange sales

Description Usage Format Source References Examples

Description

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

Usage

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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

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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))

Example output

Loading required package: estimability
NOTE: Results may be misleading due to involvement in interactions
 day    lsmean       SE df  lower.CL upper.CL
 1    7.382830 2.011404 24  3.231495 11.53416
 2    6.546316 1.922533 24  2.578403 10.51423
 3   14.030179 1.917401 24 10.072858 17.98750
 4    8.396073 1.909505 24  4.455049 12.33710
 5   16.645013 2.468563 24 11.550149 21.73988
 6   10.514573 1.918759 24  6.554449 14.47470

Confidence level used: 0.95 
NOTE: Results may be misleading due to involvement in interactions
 day   lsmean       SE df   lower.CL  upper.CL
 1   18.67549 14.41101 24 -11.067370  48.41835
 2   38.48693 15.10941 24   7.302648  69.67122
 3   45.32968 26.15762 24  -8.657004  99.31636
 4   49.14921 16.60916 24  14.869590  83.42883
 5   77.89895 27.50071 24  21.140261 134.65763
 6   73.27264 13.48374 24  45.443570 101.10170

Confidence level used: 0.95 

lsmeans documentation built on May 29, 2017, 4:24 p.m.