R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 6 of 6 found.
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oranges (Package: lsmeans) :

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

● Data Source: CranContrib
● Keywords: datasets
● Alias: oranges
● 0 images

This is an unbalanced analysis-of-covariance example, where one covariate is affected by a factor. Feeder calves from various herds enter a feedlot, where they are fed one of three diets. The weight of the animal at entry is the covariate, and the weight at slaughter is the response.

● Data Source: CranContrib
● Keywords: datasets
● Alias: feedlot
● 0 images

fiber (Package: lsmeans) :

Fiber data from Montgomery Design (8th ed.), p.656 (Table 15.10). Useful as a simple analysis-of-covariance example.

● Data Source: CranContrib
● Keywords: datasets
● Alias: fiber
● 0 images

MOats (Package: lsmeans) :

This is the Oats dataset provided in the nlme package, but it is rearranged as one multivariate observation per plot.

● Data Source: CranContrib
● Keywords: datasets
● Alias: MOats
● 0 images

nutrition (Package: lsmeans) :

This observational dataset involves three factors, but where several factor combinations are missing. It is used as a case study in Milliken and Johnson, Chapter 17, p.202. (You may also find it in the second edition, p.278.)

● Data Source: CranContrib
● Keywords: datasets
● Alias: nutrition
● 0 images

auto.noise (Package: lsmeans) : Auto Pollution Filter Noise

Three-factor experiment comparing pollution-filter noise for two filters, three sizes of cars, and two sides of the car.

● Data Source: CranContrib
● Keywords: datasets
● Alias: auto.noise
● 0 images