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This data set contains a list of 3 dataframe. On dataframe for GE, CGH and localization. This dat is the 2nd version of segmentation. Misclassified patients were excluded and segmentation was re-run excluding those patients (done july 2012 - C Philippe)

Usage

data(ge_cgh_locIGR)

Format

one instance, 1 row per patient

Source

IGR, Villejuif, France

Note

This data is copied from the gliomaData package at http://biodev.cea.fr/sgcca/

Author

V Frouin, 2012-07-31

Examples

#read data
data(ge_cgh_locIGR)
names(ge_cgh_locIGR)
#> [1] "multiblocks" "ylabel"     
names(ge_cgh_locIGR$multiblocks)
#> [1] "GE"  "CGH" "y"  
class(ge_cgh_locIGR$multiblocks$GE)
#> [1] "matrix" "array" 
class(ge_cgh_locIGR$multiblocks$CGH)
#> [1] "matrix" "array" 
class(ge_cgh_locIGR$multiblocks$y)
#> [1] "matrix" "array" 
head(ge_cgh_locIGR$multiblocks$y)
#>     cort dipg midl
#> P01    0    1    0
#> P02    0    1    0
#> P03    1    0    0
#> P04    1    0    0
#> P05    1    0    0
#> P06    0    1    0
class(ge_cgh_locIGR$ylabel)
#> [1] "numeric"
# See difference between multiblock_y (a dummy variable matrix)
# and ylabel a vector of labels (1, 2, 3)
head(ge_cgh_locIGR$ylabel,10)
#>  [1] 2 2 1 1 1 2 1 1 1 3
head(ge_cgh_locIGR$multiblocks$y,10)
#>     cort dipg midl
#> P01    0    1    0
#> P02    0    1    0
#> P03    1    0    0
#> P04    1    0    0
#> P05    1    0    0
#> P06    0    1    0
#> P07    1    0    0
#> P08    1    0    0
#> P09    1    0    0
#> P10    0    0    1