Get Per-Context Phenotype Covariates

Return per-context phenotype covariate matrices, taken from the colData of each context's SummarizedExperiment.

Usage

getPhenotypeCovariates(x, contexts)

# S4 method for class 'QtlDataset'
getPhenotypeCovariates(x, contexts)

Arguments

x

A QtlDataset object.

contexts

Character vector of context names (subset of names(getPhenotypes(x))).

Value

A named list of matrices keyed by context.

Examples

data(qtlDatasetExample)
getPhenotypeCovariates(qtlDatasetExample, contexts = "brain")
#> $brain
#>         sex      age
#> NA06989   0 52.27538
#> NA11891   1 52.01068
#> NA11843   0 77.07943
#> NA12341   1 38.67017
#> NA12739   0 38.01760
#> NA10850   1 28.50816
#> NA06984   0 48.50416
#> NA12877   1 28.98647
#> NA12275   0 76.82225
#> NA06986   1 58.92240
#> NA12272   0 21.09246
#> NA10845   1 67.92887
#> NA10852   0 72.48836
#> NA07051   1 35.25385
#> NA12400   0 30.31914
#> NA12344   1 55.41133
#> NA12777   0 38.77226
#> NA12287   1 46.77933
#> NA10837   0 50.26420
#> NA12383   1 69.05484
#> NA12340   0 74.99261
#> NA12708   1 59.56416
#> NA12273   0 52.96770
#> NA11892   1 54.24836
#> NA12546   0 73.26284
#> NA12843   1 29.35176
#> NA12766   0 52.70030
#> NA12348   1 75.52598
#> NA12817   0 22.02981
#> NA10840   1 75.48472
#> NA06997   0 33.06768
#> NA11917   1 29.58349
#> NA12718   0 64.47542
#> NA12282   1 53.66416
#> NA11920   0 48.46822
#> NA12776   1 66.78836
#> NA12283   0 36.12876
#> NA07435   1 34.70106
#> NA12828   0 31.42356
#> NA07045   1 71.25627
#> NA07031   0 50.01678
#> NA12336   1 69.65700
#> NA07349   0 28.40892
#> NA12827   1 52.75178
#> NA12375   0 53.54527
#> NA12343   1 67.62274
#> NA12335   0 28.71544
#> NA12778   1 61.71863
#> NA12832   0 34.33896
#> NA11930   1 76.88529
#> NA12890   0 25.14149
#> NA07037   1 44.84905
#> NA07347   0 39.63966
#> NA12829   1 25.25930
#> NA12749   0 71.97547
#> NA11894   1 42.22216
#> NA12286   0 61.76168
#> NA10865   1 36.22066
#> NA10864   0 55.57540
#> NA10853   1 40.36820
#> NA11918   0 74.92595
#> NA12830   1 55.91054
#> NA12818   0 39.47918
#> NA10836   1 53.35411
#> NA11893   0 64.78623
#> NA11919   1 75.63719
#> NA12489   0 58.91792
#> NA12399   1 40.45110
#> NA12413   0 71.77907
#> NA10843   1 68.59898
#> NA12842   0 78.35702
#> NA12347   1 73.06530
#> NA07346   0 26.34832
#> NA12775   1 62.63753
#> NA07014   0 24.30741
#> NA12767   1 25.63507
#> NA12889   0 20.59943
#> NA12386   1 40.26120
#> NA06995   0 51.27114
#> NA12376   1 48.18244
#> NA12342   0 71.16947
#> NA12748   1 20.34877
#> NA11931   0 66.11481
#> NA12045   1 48.56970
#> NA12750   0 27.32080
#> NA11831   1 70.34195
#> NA12146   0 40.05862
#> NA11882   1 50.87521
#> NA07056   0 44.11069
#> NA12707   1 36.33413
#> NA12154   0 67.29990
#> NA12753   1 23.27058
#> NA11839   0 59.52536
#> NA10859   1 22.07315
#> NA12875   0 65.29412
#> NA07348   1 48.38254
#> NA12156   0 71.50879
#> NA12044   1 64.06927
#> NA11992   0 64.55885
#> NA11829   1 37.37756
#> NA12239   0 59.75482
#> NA12762   1 68.06812
#> NA12716   0 26.36228
#> NA12878   1 76.32585
#> NA10856   0 31.72035
#> NA12874   1 53.25902
#> NA12760   0 62.97313
#> NA06985   1 78.81189
#> NA12003   0 67.25277
#> NA10835   1 49.23601
#> NA07022   0 77.70623
#> NA12813   1 56.64064
#> NA10839   0 56.62784
#> NA07055   1 56.93718
#> NA12056   0 65.51021
#> NA10863   1 65.99299
#> NA12145   0 46.18706
#> NA12814   1 51.02255
#> NA10847   0 35.60951
#> NA12006   1 39.58579
#> NA12763   0 71.67244
#> NA07357   1 37.29926
#> NA12144   0 36.34945
#> NA10831   1 57.01268
#> NA07000   0 34.98108
#> NA11832   1 79.56722
#> NA06991   0 48.64987
#> NA11840   1 24.81652
#> NA12802   0 73.57691
#> NA12761   1 36.99833
#> NA10830   0 45.01453
#> NA10855   1 67.11207
#> NA06994   0 68.35366
#> NA11993   1 45.92335
#> NA11995   0 66.57828
#> NA12891   1 51.76645
#> NA12864   0 75.89099
#> NA12751   1 57.97878
#> NA10861   0 53.33925
#> NA12005   1 60.41939
#> NA12234   0 61.56165
#> NA07345   1 42.37462
#> NA07029   0 41.05360
#> NA12892   1 79.03068
#> NA12248   0 56.46404
#> NA10846   1 49.61548
#> NA12801   0 33.38092
#> NA12872   1 60.66999
#> NA12155   0 57.15905
#> NA06993   1 49.22825
#> NA11830   0 55.18796
#> NA10838   1 48.75132
#> NA12249   0 68.06782
#> NA12057   1 31.63768
#> NA12812   0 39.22006
#> NA11881   1 56.39809
#> NA11994   0 32.32064
#> NA12873   1 69.27441
#> NA12815   0 73.11738
#> NA12740   1 51.38568
#> NA12752   0 39.26952
#> NA12043   1 37.78026
#> NA12264   0 34.35939
#> NA10854   1 48.10032
#> NA12865   0 51.51099
#>