Return or set the sample labels for the cells in sce.

sampleLabel(x, altExpName = "featureSubset")

# S4 method for SingleCellExperiment
sampleLabel(x, altExpName = "featureSubset")

sampleLabel(x, altExpName = "featureSubset") <- value

# S4 method for SingleCellExperiment
sampleLabel(x, altExpName = "featureSubset") <- value

# S4 method for celdaModel
sampleLabel(x)

Arguments

x

Can be one of

altExpName

The name for the altExp slot to use. Default "featureSubset".

value

Character vector of sample labels for replacements. Works only is x is a SingleCellExperiment object.

Value

Character vector. Contains the sample labels provided at model creation, or those automatically generated by celda.

Examples

data(sceCeldaCG) sampleLabel(sceCeldaCG)
#> [1] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [9] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [17] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [25] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [33] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [41] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [49] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [57] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [65] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [73] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [81] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [89] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_2 Sample_2 Sample_2 #> [97] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [105] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [113] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [121] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [129] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [137] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [145] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [153] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [161] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [169] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [177] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [185] Sample_2 Sample_2 Sample_2 Sample_2 Sample_3 Sample_3 Sample_3 Sample_3 #> [193] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [201] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [209] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [217] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [225] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [233] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [241] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [249] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [257] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [265] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [273] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [281] Sample_3 Sample_3 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [289] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [297] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [305] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [313] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [321] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [329] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [337] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [345] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_5 Sample_5 Sample_5 #> [353] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [361] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [369] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [377] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [385] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [393] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [401] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [409] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [417] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [425] Sample_5 #> Levels: Sample_1 Sample_2 Sample_3 Sample_4 Sample_5
data(celdaCGMod) sampleLabel(celdaCGMod)
#> [1] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [9] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [17] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [25] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [33] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [41] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [49] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [57] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [65] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [73] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [81] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 #> [89] Sample_1 Sample_1 Sample_1 Sample_1 Sample_1 Sample_2 Sample_2 Sample_2 #> [97] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [105] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [113] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [121] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [129] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [137] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [145] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [153] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [161] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [169] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [177] Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 Sample_2 #> [185] Sample_2 Sample_2 Sample_2 Sample_2 Sample_3 Sample_3 Sample_3 Sample_3 #> [193] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [201] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [209] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [217] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [225] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [233] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [241] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [249] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [257] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [265] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [273] Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 Sample_3 #> [281] Sample_3 Sample_3 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [289] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [297] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [305] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [313] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [321] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [329] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [337] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 #> [345] Sample_4 Sample_4 Sample_4 Sample_4 Sample_4 Sample_5 Sample_5 Sample_5 #> [353] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [361] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [369] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [377] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [385] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [393] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [401] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [409] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [417] Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 Sample_5 #> [425] Sample_5 #> Levels: Sample_1 Sample_2 Sample_3 Sample_4 Sample_5