Package: MPV 1.64

MPV: Data Sets from Montgomery, Peck and Vining

Most of this package consists of data sets from the textbook Introduction to Linear Regression Analysis, by Montgomery, Peck and Vining. All data sets from the 3rd edition are included and many from the 6th edition are also included. The package also contains some additional data sets and functions.

Authors:W.J. Braun [aut, cre], S. MacQueen [aut]

MPV_1.64.tar.gz
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MPV_1.64.tgz(r-4.4-any)MPV_1.64.tgz(r-4.3-any)
MPV_1.64.tar.gz(r-4.5-noble)MPV_1.64.tar.gz(r-4.4-noble)
MPV_1.64.tgz(r-4.4-emscripten)MPV_1.64.tgz(r-4.3-emscripten)
MPV.pdf |MPV.html
MPV/json (API)

# Install 'MPV' in R:
install.packages('MPV', repos = c('https://wjbraun.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.60 score 1 packages 201 scripts 3.3k downloads 2 mentions 14 exports 3 dependencies

Last updated 3 months agofrom:f196ee04fa. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:BCCIPlotBCLPBiasBiasVarPlotGANOVAGFplotGRegplotLPBiasPRESSqqANOVAquadlineQyplotrftesttplotUplot

Dependencies:KernSmoothlatticerandomForest

Readme and manuals

Help Manual

Help pageTopics
Confidence Intervals for Bias Corrected Local RegressionBCCIPlot
Bias for Bias-Corrected Local Polynomial RegressionBCLPBias
Local Polynomial Bias and VariabilityBiasVarPlot
Biochemical Oxygen DemandBioOxyDemand
Blood Pressure Measurements on a Single Adult Malebp
Table B21 - Cement Datacement table.b21
Cigarette Buttscigbutts
Earthquakes Dataearthquake
Micro-fires recorded in a lab settingfires
Graphical ANOVA PlotGANOVA
Natural Gas Consumption in a Single-Family Residencegasdata
Graphical F Plot for Significance in RegressionGFplot
Graphical Regression PlotGRegplot
JulietJuliet
Length Guesses Datalengthguesses
Lesions in Rat Colonslesions
Local Polynomial BiasLPBias
Motor Vibration Datamotor
noisy imagenoisyimage
oldwasholdwash
Data For Problem 11-12p11.12
Data set for Problem 11-15p11.15
Data Set for Problem 12-11p12.11
Data Set for Problem 12-12p12.12
Data Set for Problem 12-16p12.16
Data Set for Problem 12-8p12.8
Data Set for Problem 13-1p13.1
Data Set for Problem 13-16p13.16
Data Set for Problem 13-2p13.2
Data Set for Problem 13-20p13.20
Data Set for Problem 13-3p13.3
Data Set for Problem 13-4p13.4
Data Set for Problem 13-5p13.5
Data Set for Problem 13-6p13.6
Data Set for Problem 13-7p13.7
Data Set for Problem 14-1p14.1
Data Set for Problem 14-2p14.2
Data Set for Problem 15-4p15.4
Data Set for Problem 2-10p2.10
Data Set for Problem 2-12p2.12
Data Set for Problem 2-13p2.13
Data Set for Problem 2-14p2.14
Data Set for Problem 2-15p2.15
Data Set for Problem 2-16p2.16
Data Set for Problem 2-17p2.17
Data Set for Problem 2-18p2.18
Data Set for Problem 2-7p2.7 v6p2.7
Data Set for Problem 2-9eg2.9 p2.9 table2.11
Data Set for Problem 4-18p4.18
Data Set for Problem 4-19p4.19
Data Set for Problem 4-20p4.20
Data Set for Problem 5-1p5.1
Data Set for Problem 5-10p5.10
Data Set for Problem 5-11 of the Third Edition of MPVp5.11
Data Set for Problem 5-12p5.12
Data Set for Problem 5-13p5.13
Data Set for Problem 5-2p5.2
Data Set for Problem 5-21p5.21
Data Set for Problem 5-22p5.22
Data Set for Problem 5-23p5.23
Data Set for Problem 5-24p5.24
Data Set for Problem 5-3p5.3
Data Set for Problem 5-4p5.4
Data Set for Problem 5-5p5.5
Data Set for Problem 7-1p7.1
Data Set for Problem 7-11p7.11
Data Set for Problem 7-13p7.13
Data Set for Problem 7-15p7.15
Data Set for Problem 7-16p7.16
Data Set for Problem 7-17p7.17
Data Set for Problem 7-18p7.18
Data Set for Problem 7-19p7.19
Data Set for Problem 7-2p7.2
Data Set for Problem 7-20p7.20
Data Set for Problem 7-4p7.4
Data Set for Problem 7-6p7.6
Data Set for Problem 8-11p8.11
Data Set for Problem 8-16p8.16
Data Set for Problem 8-3p8.3
Data Set for Problem 9-10p9.10
Pathological Examplepathoeg
PRESS statisticPRESS
QQ Plot for Analysis of VarianceqqANOVA
Quadratic Overlayquadline
Analysis of Variance Plot for RegressionQyplot
Radon Releaseradon
Length Measurements on Rectangular Objectsrectangles
Pseudorandom Number Testing via Random Forestrftest
Seismic Timing Dataseismictimings
Softdrink Datasoftdrink
Solar Datasolar
Stain Removal Datastain
Table B1table.b1
Table B10table.b10
Table B11table.b11
Table B12table.b12
Table B13table.b13
Table B14table.b14
Table B15 - Air Pollution and Mortality Datatable.b15
Table B16 Data Settable.b16
Table B17table.b17
Table B18table.b18
Table B19table.b19
Table B2table.b2
Table B20table.b20
Table B22 - Baseball Datatable.b22
Table B23table.b23
Table B24 - Rental Datatable.b24
Table B25 Golf Datatable.b25
Table B3table.b3
Table B4table.b4
Data Set for Table B5table.b5
Data Set for Table B6table.b6
Data Set for Table B7table.b7
Table B8table.b8
Data Set for Table B9table.b9
Table 5.2table5.2
Table 5.5table5.5
Table 5.9table5.9
target imagetarimage
Graphical t Test for Regressiontplot
Sample of Loblolly Pine Datatree.sample
Plot of Multipliers in Regression ANOVA PlotUplot
Measurements of the Widths of Book Coverswidths
Winnipeg Wind SpeedwindWin80
Winnipeg Maximum TemperaturesWpgtemp
Weather Observations for Three Stations in Northwestern OntariowxNWO