cc.505: Select Biomarkers from the HVTN 505 Correlates Analysis
In FSDAM: Forward Stepwise Deep Autoencoder-Based Monotone NLDR
cc.505 R Documentation
Select Biomarkers from the HVTN 505 Correlates Analysis
Description
See reference.
Usage
data("cc.505")
Format
A data frame with 189 observations on the following 27 variables.
ptida character vector
trta numeric vector
casea numeric vector
controla numeric vector
perprota numeric vector
last_uninfec_immun_vsta numeric vector
racefulla numeric vector
racefulltxta character vector
bmia numeric vector
bmicata numeric vector
bmicattxta character vector
earliest_pos_vsta numeric vector
levela character vector
matchlevela character vector
samplingfractiona numeric vector
vst9subcohorta numeric vector
HIVwk28preunbla numeric vector
agea numeric vector
racecca character vector
bhvriska numeric vector
BMIa numeric vector
stratuminds_vaccsa numeric vector
stratumindsa numeric vector
cd4.env.polya numeric vector
cd8.env.polya numeric vector
mfoundersa numeric vector
weia numeric vector
References
Fong, Y, Xu, J. Multi-Stage Simultaneous Deep Autoencoder-based Monotone (MSS-DAM) Nonlinear Dimensionality Reduction Methods, Journal of Computational and Graphical Statistics, in press.
FSDAM documentation built on Sept. 11, 2024, 6:49 p.m.
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| cc.505 | R Documentation |
Select Biomarkers from the HVTN 505 Correlates Analysis
Description
See reference.
Usage
data("cc.505")Format
A data frame with 189 observations on the following 27 variables.
ptida character vector
trta numeric vector
casea numeric vector
controla numeric vector
perprota numeric vector
last_uninfec_immun_vsta numeric vector
racefulla numeric vector
racefulltxta character vector
bmia numeric vector
bmicata numeric vector
bmicattxta character vector
earliest_pos_vsta numeric vector
levela character vector
matchlevela character vector
samplingfractiona numeric vector
vst9subcohorta numeric vector
HIVwk28preunbla numeric vector
agea numeric vector
racecca character vector
bhvriska numeric vector
BMIa numeric vector
stratuminds_vaccsa numeric vector
stratumindsa numeric vector
cd4.env.polya numeric vector
cd8.env.polya numeric vector
mfoundersa numeric vector
weia numeric vector
References
Fong, Y, Xu, J. Multi-Stage Simultaneous Deep Autoencoder-based Monotone (MSS-DAM) Nonlinear Dimensionality Reduction Methods, Journal of Computational and Graphical Statistics, in press.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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