# cc.505

From FSDAM v2020.11-18
by Youyi Fong

##### Select Biomarkers from the HVTN 505 Correlates Analysis

See reference.

##### Usage

`data("cc.505")`

##### Format

A data frame with 189 observations on the following 27 variables.

`ptid`

a character vector

`trt`

a numeric vector

`case`

a numeric vector

`control`

a numeric vector

`perprot`

a numeric vector

`last_uninfec_immun_vst`

a numeric vector

`racefull`

a numeric vector

`racefulltxt`

a character vector

`bmi`

a numeric vector

`bmicat`

a numeric vector

`bmicattxt`

a character vector

`earliest_pos_vst`

a numeric vector

`level`

a character vector

`matchlevel`

a character vector

`samplingfraction`

a numeric vector

`vst9subcohort`

a numeric vector

`HIVwk28preunbl`

a numeric vector

`age`

a numeric vector

`racecc`

a character vector

`bhvrisk`

a numeric vector

`BMI`

a numeric vector

`stratuminds_vaccs`

a numeric vector

`stratuminds`

a numeric vector

`cd4.env.poly`

a numeric vector

`cd8.env.poly`

a numeric vector

`mfounders`

a numeric vector

`wei`

a 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.

*Documentation reproduced from package FSDAM, version 2020.11-18, License: GPL (>= 2)*

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