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.
A data frame with 104 observations on the following 34 variables.
the response: a binary vector (Astler-Coller score).
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
a binary vector that indicates whether this microsatellite is altered or not.
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.
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.
#> '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 ...