| aze_compl {plsRglm} | R Documentation |
As aze without missing values
Description
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)