gren (version 0.0.1)

dataColon: Contains four R-objects, including the data and the binary response

Description

The four objects are: mirCol: 2114 sequenced microRNAs for 88 samples; unpenCol: 4 clinical covariates for 88 samples; respCol: binary response coded as progressive disease and benefitted from therapy; mirExpr: expression levels of microRNAs from previous study coded as not differentially expressed, medium significantly expressed, and highly significantly expressed.

Usage

data(dataColon)

Format

The formats are:

mirCol

matrix [1:88, 1:2114]

unpenCol

data.frame: 88 obs. of 4 variables

respCol

Factor w/ 2 levels "Progr","TherBenefit"

mirExpr

Factor w/ 3 levels "nonExpr", "medExpr", "highExpr"

Details

This data is used for illustration in the vignette of the gren package and the corresponding paper (see references).

References

M<U+00FC>nch, M.M., Peeters, C.F.W., van der Vaart, A.W., and van de Wiel, M.A. (2018). Adaptive group-regularized logistic elastic net regression. arXiv:1805.00389v1 [stat.ME].

Examples

# NOT RUN {
data(dataColon)
str(mirCol)
str(unpenCol)
str(respCol)
str(mirExpr)
# }