[r-cran-lsmeans] 02/02: Added documentation for data files

Jonathon Love jon at thon.cc
Mon Sep 14 17:50:24 UTC 2015


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commit 6b04279d1f44c643bda0f7bb52749184675db734
Author: Jonathon Love <jon at thon.cc>
Date:   Mon Sep 14 19:50:14 2015 +0200

    Added documentation for data files
---
 debian/README.source | 62 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 62 insertions(+)

diff --git a/debian/README.source b/debian/README.source
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index 0000000..a26b1d4
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+Explanation for binary files inside source package according to
+  http://lists.debian.org/debian-devel/2013/09/msg00332.html
+
+This package contains many example data sets
+
+Files: data/autonoise.RData
+Documentation: man/auto.noise.Rd
+  Example data set:
+  Three-factor experiment comparing pollution-filter noise for two filters,
+  three sizes of cars, and two sides of the car.
+  The data are from a statement by Texaco, Inc., to the Air and Water Pollution
+  Subcommittee of the Senate Public Works Committee on June 26, 1973.    
+  Mr. John McKinley, President of Texaco, cited an automobile filter developed
+  by Associated Octel Company as effective in reducing pollution. However, 
+  questions had been raised about the effects of filters on vehicle performance, 
+  fuel consumption, exhaust gas back pressure, and silencing. On the last 
+  question, he referred to the data included here as evidence that the silencing
+  properties of the Octel filter were at least equal to those of standard
+  silencers.
+
+Files: data/feedlot.RData
+Documentation: man/feedlot.Rd
+  Example data set:
+  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.
+
+Files: data/fiber.RData
+Documentation: man/fiber.Rd
+  Example data set:
+  Fiber data from Montgomery Design (8th ed.), p.656 (Table 15.10). Useful as a
+  simple analysis-of-covariance example.
+  The goal of the experiment is to compare the mean breaking strength of fibers
+  produced by the three machines. When testing this, the technician also
+  measured the diameter of each fiber, and this measurement may be used as a
+  concomitant variable to improve precision of the estimates.
+
+Files: data/MOats.RData
+Documentation: man/MOats.Rd
+  Example data set:
+  This is the Oats dataset provided in the nlme package, but it is rearranged
+  as one multivariate observation per plot.
+
+Files: data/nutrition.RData
+Documentation: man/nutrition.Rd
+  Example data set:
+  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.)
+  A survey was conducted by home economists to study how much lower
+  socioeconomic-level mothers knew about nutrition and to judge the effect of a
+  training program designed to increase therir knowledge of nutrition. This is
+  a messy dataset with several empty cells.
+
+Files: data/oranges.RData
+Documentation: man/oranges.Rd
+  Example data set:
+  This example dataset on sales of oranges has two factors, two covariates, and
+  two responses. There is one observation per factor combination.
+
+

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