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