# R Dataset / Package robustbase / pulpfiber

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On this Picostat.com statistics page, you will find information about the pulpfiber data set which pertains to Pulp Fiber and Paper Data. The pulpfiber data set is found in the robustbase R package. You can load the pulpfiber data set in R by issuing the following command at the console data("pulpfiber"). This will load the data into a variable called pulpfiber. If R says the pulpfiber data set is not found, you can try installing the package by issuing this command install.packages("robustbase") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the pulpfiber R data set. The size of this file is about 3,149 bytes. ## Pulp Fiber and Paper Data## DescriptionMeasurements of aspects pulp fibers and the paper produced from them. Four properties of each are measured in sixty-two samples. ## Usagedata(pulpfiber) ## FormatA data frame with 62 observations on the following 8 variables. `X1` numeric vector of arithmetic fiber length `X2` numeric vector of long fiber fraction `X3` numeric vector of fine fiber fraction `X4` numeric vector of zero span tensile
`Y1` numeric vector of breaking length `Y2` numeric vector of elastic modulus `Y3` numeric vector of stress at failure `Y4` numeric vector of burst strength
## DetailsCited from the reference article:
The goal is to predict the ## Author(s)port to ## SourceRousseeuw, P. J., Van Aelst, S., Van Driessen, K., and Agulló, J. (2004)
Robust multivariate regression;
http://users.ugent.be/~svaelst/data/pulpfiber.txt ## ReferencesLee, J. (1992)
## Examplesdata(pulpfiber) str(pulpfiber)pairs(pulpfiber, gap=.1) ## 2 blocks of 4 .. c1 <- cov(pulpfiber) cR <- covMcd(pulpfiber) ## how different are they: The robust estimate has more clear high correlations: symnum(cov2cor(c1)) symnum(cov2cor(cR$cov)) -- Dataset imported from https://www.r-project.org. |

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dataset-88367.csv | 3.08 KB |