BiplotGUI: Interactive Biplots in R

Description

A GUI with which to construct and interact with biplots.

Details

The Biplots() function initialises the GUI.

At present, BiplotGUI is intended to be run under Windows. In Windows, it runs marginally better in SDI mode, rather than MDI mode.

Author(s)

Anthony la Grange

Maintainer: Niel le Roux njlr@sun.ac.za Includes Fortran code adapted by NJ le Roux from the original by PJ Rousseeuw, I Ruts and JW Tukey.

References

Gower JC, Hand DJ (1996). Biplots. Monographs on Statistics and Applied Probability. Chapman & Hall, London, UK.

Antique furniture data set

Description

Microscopic measurements made on Old-Cape antique furniture. The furniture are made from three types of wood.

Usage

data(AntiqueFurniture)

Format

A data frame with 37 observations on the following 7 variables.

Species

The tree species. A factor with levels Obul, Oken, Opor.

VesD

Tangential vessel diameter in micrometres. A numeric vector.

VesL

Vessel element length in micrometres. A numeric vector.

FibL

Fibre length in micrometres. A numeric vector.

RayH

Ray height in micrometres. A numeric vector.

RayW

Ray width in micrometres. A numeric vector.

NumVes

The number of vessels per millimetre squared. A numeric vector.

Details

During the period 1652–1900, wood from both the indiginous Ocotea bullata ("Stinkwood") and the imported Ocotea perosa ("Imbuia") were used to make Old-Cape furniture in South Africa. The data set contains mean measurements made on such wood, together with a third species, Ocotea kenyensis. Twenty samples of Ocotea bullata (Obul), 10 samples of Ocotea perosa (Opor) and 7 samples of Ocotea kenyensis (Oken) were inspected microscopically, with six variables measured on each sample 50 times over. The data are the mean measurements over the 50 repetitions.

Source

Swart, J.P.J. (1985). Lauracea. Unpublished Master's thesis, Stellenbosch University, Stellenbosch, South Africa.

References

Burden, M., Gardner, S., Le Roux, N.J. and Swart, J.P.J. (2001). Ou-Kaapse meubels en stinkhoutidentifikasie: Moontlikhede met kanoniese veranderlike-analise en bistippings. South African Journal of Cultural History, 15, 50–73.

Le Roux, N.J. and Gardner, S. (2005). Analysing your multivariate data as a pictorial: A case for applying biplot methodology? International Statistical Review, 73(3), 365–387.

Examples

## Not run: Biplots(Data = AntiqueFurniture[, -1],
        groups = AntiqueFurniture[, 1])
## End(Not run)

Interactive Biplots in R

Description

Initialises a GUI with which to construct and interact with biplots.

Usage

Biplots(Data, groups = rep(1, nrow(Data)), 
PointLabels = rownames(Data),
AxisLabels = colnames(Data), excel = NULL, 
ExcelGroupsCol = 0)

Arguments

Details

Biplots() is the sole function of the BiplotGUI package. The function initialises the GUI for a particular data set. All further options are available from within the GUI. The GUI features themselves are documented in a separate manual available from the Help menu of the GUI. The manual is also included as a vignette to the package.

Due to the removal of the xlsReadWrite package from CRAN, the direct import of data from Excel 1997-2003 files has been deprecated as from BiplotGUI 0.0-4.1. As an alternative mechanism, consider the RODBC package.

At present, BiplotGUI is intended to be run under Windows. In Windows, it runs marginally better in SDI mode, rather than MDI mode.

Author(s)

Author: Anthony la Grange.

Maintainer: Niel le Roux njlr@sun.ac.za, http://biplotgui.r-forge.r-project.org/

References

Gower JC, Hand DJ (1996). Biplots. Monographs on Statistics and Applied Probability. Chapman & Hall, London, UK.

Examples

data(Countries)

## Not run: Biplots(Data = Countries)

data(AntiqueFurniture)

## Not run: Biplots(Data = AntiqueFurniture[, -1],
        groups = AntiqueFurniture[, 1])
## End(Not run)

data(FighterAircraft)

## Not run: Biplots(Data = FighterAircraft)
  

Countries data set

Description

Eight variables measured on the countries with the 15 largest economies by purchasing price parity (PPP) gross domesitic product (GDP) in 2007.

Usage

data(Countries)

Format

A data frame with 15 observations on the following 8 variables.

GDP

Purchasing price parity (PPP) gross domestic product (GDP) per capita in 2007 US dollars. A numeric vector.

HIV.Aids

HIV/Aids prevalence as a percentage of the population. A numeric vector.

Life.exp.

Life expectancy in years. A numeric vector.

Mil.

Military spending as a percentage of GDP. A numeric vector.

Oil.cons.

Oil consumption in barrels per annum per capita. A numeric vector.

Pop.

Population in millions. A numeric vector.

Tel.

Number of fixed line telephones per 1000 people. A numeric vector.

Unempl.

Percentage unemployed. A numeric vector.

Details

The data have been derived largely from the 2007 CIA World Factbook, and are intended for illustrative purposes only.

Source

Agency C (2007). The World Factbook: 2007, CIA's 2006, Potomac Books, Washington, DC, USA.

Examples

## Not run: Biplots(data=Countries)

Fighter aircraft data set

Description

Four variables measured on 21 types of US fighter aircraft.

Usage

data(FighterAircraft)

Format

A data frame with 21 observations on the following 4 variables.

SPR

Specific power, proportional to power per unit weight. A numeric vector.

RGF

Flight range factor. A numeric vector.

PLF

Payload as a fraction of gross weight. A numeric vector.

SLF

Sustained load factor. A numeric vector.

Details

Measurements of four variables on 21 of 22 types of US fighter aircraft extracted by Cook and Weisberg (1982) from a report by Stanley and Miller (1979).

Source

Stanley W, Miller M (1979). Measuring technological change in jet fighter aircraft. Technical Report R-2249-AF, RAND Corporation, Santa Monica, CA, USA.

References

Cook, R. D. and Weisberg, S. (1982). Residuals and influence in regression. Monographs on Statistics and Applied Probability. Chapman & Hall, London, UK.

Gower, J. C. and Hand, D.J. (1996). Biplots. Monographs on Statistics and Applied Probability. Chapman & Hall, London, UK.

Examples

## Not run: data(FighterAircraft)