As aze without missing values

Source: R/datasets.R

This is a single imputation of the aze dataset which was collected on patients carrying a colon adenocarcinoma. It has 104 observations on 33 binary qualitative explanatory variables and one response variable y representing the cancer stage according to the to Astler-Coller classification (Astler and Coller, 1954). A microsattelite is a non-coding DNA sequence.

Format

A data frame with 104 observations on the following 34 variables.

y

the response: a binary vector (Astler-Coller score).

D2S138

a binary vector that indicates whether this microsatellite is altered or not.

D18S61

a binary vector that indicates whether this microsatellite is altered or not.

D16S422

a binary vector that indicates whether this microsatellite is altered or not.

D17S794

a binary vector that indicates whether this microsatellite is altered or not.

D6S264

a binary vector that indicates whether this microsatellite is altered or not.

D14S65

a binary vector that indicates whether this microsatellite is altered or not.

D18S53

a binary vector that indicates whether this microsatellite is altered or not.

D17S790

a binary vector that indicates whether this microsatellite is altered or not.

D1S225

a binary vector that indicates whether this microsatellite is altered or not.

D3S1282

a binary vector that indicates whether this microsatellite is altered or not.

D9S179

a binary vector that indicates whether this microsatellite is altered or not.

D5S430

a binary vector that indicates whether this microsatellite is altered or not.

D8S283

a binary vector that indicates whether this microsatellite is altered or not.

D11S916

a binary vector that indicates whether this microsatellite is altered or not.

D2S159

a binary vector that indicates whether this microsatellite is altered or not.

D16S408

a binary vector that indicates whether this microsatellite is altered or not.

D5S346

a binary vector that indicates whether this microsatellite is altered or not.

D10S191

a binary vector that indicates whether this microsatellite is altered or not.

D13S173

a binary vector that indicates whether this microsatellite is altered or not.

D6S275

a binary vector that indicates whether this microsatellite is altered or not.

D15S127

a binary vector that indicates whether this microsatellite is altered or not.

D1S305

a binary vector that indicates whether this microsatellite is altered or not.

D4S394

a binary vector that indicates whether this microsatellite is altered or not.

D20S107

a binary vector that indicates whether this microsatellite is altered or not.

D1S197

a binary vector that indicates whether this microsatellite is altered or not.

D1S207

a binary vector that indicates whether this microsatellite is altered or not.

D10S192

a binary vector that indicates whether this microsatellite is altered or not.

D3S1283

a binary vector that indicates whether this microsatellite is altered or not.

D4S414

a binary vector that indicates whether this microsatellite is altered or not.

D8S264

a binary vector that indicates whether this microsatellite is altered or not.

D22S928

a binary vector that indicates whether this microsatellite is altered or not.

TP53

a binary vector that indicates whether this microsatellite is altered or not.

D9S171

a binary vector that indicates whether this microsatellite is altered or not.

Source

Weber et al. (2007). Allelotyping analyzes of synchronous primary and metastasis CIN colon cancers identified different subtypes. Int J Cancer, 120(3), pages 524-32.

References

Nicolas Meyer, Myriam Maumy-Bertrand et Frédéric Bertrand (2010). Comparing the linear and the logistic PLS regression with qualitative predictors: application to allelotyping data. Journal de la Société Française de Statistique, 151(2), pages 1-18.

Examples


data(aze_compl)
str(aze_compl)

#> 'data.frame':	104 obs. of  34 variables:
#>  $ y      : int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ D2S138 : int  0 0 1 1 0 0 0 0 1 0 ...
#>  $ D18S61 : int  1 0 0 0 0 0 1 1 1 1 ...
#>  $ D16S422: int  1 1 0 0 1 0 0 1 1 0 ...
#>  $ D17S794: int  1 1 1 1 1 0 1 0 0 1 ...
#>  $ D6S264 : int  0 1 0 0 1 0 1 1 0 0 ...
#>  $ D14S65 : int  1 1 1 1 0 1 1 1 0 0 ...
#>  $ D18S53 : int  1 0 1 1 0 0 1 1 1 0 ...
#>  $ D17S790: int  0 1 0 0 1 0 1 0 0 1 ...
#>  $ D1S225 : int  0 1 0 0 0 0 1 0 1 0 ...
#>  $ D3S1282: int  0 0 1 0 0 0 1 1 0 0 ...
#>  $ D9S179 : int  1 1 1 0 0 0 0 0 1 1 ...
#>  $ D5S430 : int  1 1 0 1 1 0 1 0 1 0 ...
#>  $ D8S283 : int  1 1 0 1 0 0 0 1 1 0 ...
#>  $ D11S916: int  0 0 0 0 0 0 0 0 1 1 ...
#>  $ D2S159 : int  1 0 0 0 0 0 0 0 1 0 ...
#>  $ D16S408: int  1 1 0 1 0 0 1 1 1 0 ...
#>  $ D5S346 : int  0 1 0 1 0 0 0 1 1 0 ...
#>  $ D10S191: int  0 0 0 0 0 0 0 1 1 0 ...
#>  $ D13S173: int  1 1 1 1 1 0 0 1 0 1 ...
#>  $ D6S275 : int  0 1 1 0 0 1 1 0 1 1 ...
#>  $ D15S127: int  1 0 0 0 0 1 1 0 1 0 ...
#>  $ D1S305 : int  0 0 0 0 0 0 1 0 1 0 ...
#>  $ D4S394 : int  0 0 1 0 1 0 1 0 1 1 ...
#>  $ D20S107: int  1 1 1 1 0 0 1 1 1 1 ...
#>  $ D1S197 : int  0 0 1 0 0 1 1 1 1 0 ...
#>  $ D1S207 : int  0 0 0 0 0 0 1 0 1 0 ...
#>  $ D10S192: int  1 1 1 1 0 0 1 0 1 1 ...
#>  $ D3S1283: int  0 0 1 1 0 0 1 1 1 0 ...
#>  $ D4S414 : int  0 1 0 0 0 0 1 0 1 1 ...
#>  $ D8S264 : int  0 1 0 0 0 0 0 1 1 0 ...
#>  $ D22S928: int  0 1 0 0 0 0 0 1 1 0 ...
#>  $ TP53   : int  1 1 0 0 1 0 1 1 1 1 ...
#>  $ D9S171 : int  0 1 0 1 1 0 0 1 1 1 ...