Format
The format is:
List of 39
$ index : int [1:246] 1 2 3 4 5 6 7 8 9 10 ...
$ samples : chr [1:246] "1772-062-248_A01" "1772-062-248_A03" "1772-062-248_A04" "1772-062-248_A06" ...
$ batch : chr [1:246, 1:2] "1772-062-248" "1772-062-248" "1772-062-248" "1772-062-248" ...
$ Size : num [1:246] 31 19 152 43 59 21 72 81 31 56 ...
$ corrected.exprs : num [1:246, 1:2] 34.3 11.96 31.95 19.7 9.95 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : NULL
.. ..$ : chr [1:2] "Green" "Red"
$ corrected.transformed.exprs : num [1:246, 1:2] 3.54 2.48 3.46 2.98 2.3 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : NULL
.. ..$ : chr [1:2] "Green" "Red"
$ correctedAreas : num [1:246] 3.43 2.94 5.02 3.76 4.08 ...
$ areacut : num 49
$ transformation : chr "log"
$ image.type : chr [1:3] "BF" "Green" "Red"
$ dateIndex : chr "WedMar2313:29:522016"
$ single.batch.analysis : num 5
$ BGmethod : chr "normexp"
$ maxMix : num 3
$ prior.pi : num 0.1
$ flex.reps : num 5
$ flexmethod : chr "BIC"
$ RNG : NULL
$ GAPgroups : num [1:246, 1:2] 3 6 2 6 6 6 4 6 5 4 ...
$ clusterFUN : chr "kmeans"
$ normal.sigma : num 200
$ centroids : num [1:7, 1:3] 2 1 5 4 3 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : NULL
.. ..$ : chr [1:3] "Cluster" "Green" "Red"
$ fixClusters : num 0
$ Kmax : num 15
$ B.kmeans : num 5
$ Path : num [1:6] 6 3 5 4 2 1
$ Path.type : chr [1:2] "circular" "clockwise"
$ UpdatedPath : num [1:7] 1 2 3 4 5 6 7
$ DataSorts : chr [1:246, 1:2] "0.453392432450554" "0.0087217837649943" "0.201631879709111" "-0.395060882232867" ...
..- attr(*, "dimnames")=List of 2
.. ..$ : NULL
.. ..$ : chr [1:2] "Distance" "Pseudotime"
$ DDHFupdate : logi FALSE
$ corrected.VStransformed.exprs: num [1:246, 1:2] 93.7 87.7 90.3 89.3 87.7 ...
$ VSmethod : chr "DDHFmv"
$ Progression : num [1:246, 1:2] 77 18 201 22 31 11 169 34 119 171 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : NULL
.. ..$ : chr [1:2] "Pseudotime" "transf.Difference"
$ Updated.groups : num [1:246] 2 1 5 1 1 1 4 1 3 4 ...
$ CPs : num [1:6] 56 93 140 178 206 229
$ CPmethod : chr "ECP"
$ CPsig : num 0.01
$ CPgroups : num 5
$ CPmingroup : num 10