hyper.data: Data included in hyper.fit package

In hyper.fit: Generic N-Dimensional Hyperplane Fitting with Heteroscedastic Covariant Errors and Intrinsic Scatter

Description

hogg: Toy ASCII table taken from Hogg 2010. Contains x/y/sx/sy/corxy columns. Provided by David Hogg.

intrin: Toy ASCII table that has intrinsic scatter. Contains x/y/sx/sy/corxy columns. Provided by Michelle Cluver.

trumpet: Toy ASCII table that has trumpet-like covariance errors and no intrinsic scatter. Contains x/y/sx/sy/corxy columns. Provided by Johannes Buchner.

FP6dFGS: 6dFGS fundamental plane data taken from table 8 of Campbell et al 2014. We use columns 6/7, 12/13, 18/19 for the FP parameters and their errors, and column 26 = 111111 to create a clean selection. Provided By Christina Magoulas.

GAMAsmVsize: Galaxy mass vs size data taken from Lange et al 2014. Bottom-right panel of Figure 3 (i.e. r-band elliptical relation data). Provided by Rebecca Lange.

TFR: Tully-Fisher Relation data taken from Obreschkow and Meyer 2013. Provided by Danail Obreschkow.

MJB: Mase-Angular Momentum-Bulge/Total data taken from Obreschkow & Glazebrook 2014. Provided by Danail Obreschkow.

convtest2dOpt: Intrinsic scatter convergence test data for 2 DoF and optim fitted simulations, shown as an example in hyper.sigcor.

convtest2dLD: Intrinsic scatter convergence test data for 2 DoF and LaplacesDemon fitted simulations, shown as an example in hyper.sigcor.

convtest1dNorm: Intrinsic scatter convergence test data for 1 DoF and direct sample SD estimation, shown as an example in hyper.sigcor.

Usage

data(hogg)
data(intrin)
data(trumpet)
data(FP6dFGS)
data(GAMAsmVsize)
data(TFR)
data(MJB)
data(convtest2dOpt)
data(convtest2dLD)
data(convtest1dNorm)

Author(s)

Aaron Robotham and Danail Obreschkow

References

Robotham, A.S.G., & Obreschkow, D., PASA, in press

Campbell, L., et al., 2014, MNRAS, 443, 1231 (http://mnras.oxfordjournals.org/content/443/2/1231)

Cluver, M., et al., 2014, ApJ, 782, 90 (http://arxiv.org/pdf/1401.0837v1.pdf)

Hogg, D., Bovy, J., Lang, D., 2010 (http://arxiv.org/pdf/1008.4686v1.pdf)

Lange, R., et al., MNRAS, accepted

Obreschkow & Meyer, 2013, ApJ, 777, 140

Obreschkow & Glazebrook, 2014, ApJ, 784, 26

See Also

hyper.basic, hyper.convert, hyper.data, hyper.fit, hyper.plot, hyper.sigcor, hyper.summary

Examples

hogg=read.table(system.file('data/hogg.tab', package='hyper.fit'),header=TRUE)
#or
data(hogg)
print(hogg[1:10,])

intrin=read.table(system.file('data/intrin.tab', package='hyper.fit'), header=TRUE)
#or
data(intrin)
print(intrin[1:10,])

trumpet=read.table(system.file('data/trumpet.tab', package='hyper.fit'), header=TRUE)
#or
data(trumpet)
print(trumpet[1:10,])

FP6dFGS=read.table(system.file('data/FP6dFGS.tab', package='hyper.fit'), header=TRUE)
#or
data(FP6dFGS)
print(FP6dFGS[1:10,])

GAMAsmVsize=read.table(system.file('data/GAMAsmVsize.tab', package='hyper.fit'), header=TRUE)
#or
data(GAMAsmVsize)
print(GAMAsmVsize[1:10,])

TFR=read.table(system.file('data/TFR.tab', package='hyper.fit'), header=TRUE)
#or
data(TFR)
print(TFR[1:10,])

MBJ=read.table(system.file('data/MJB.tab', package='hyper.fit'), header=TRUE)
#or
data(MJB)
print(MJB[1:10,])

hyper.fit documentation built on Dec. 5, 2019, 5:12 p.m.