plotK.Rd
plot cluster
plotK(scaledM, k, idx)
scaledM | matrix with data |
---|---|
k | cluster assignment (same as nrow(scaledM)) |
idx | index of cluster |
bb <- matrix(rnorm(100), ncol=5, nrow = 20) k <- sample(1:3,20, replace = TRUE) plotK(bb, k, idx = 3) #> [,1] [,2] [,3] [,4] [,5] #> [1,] -1.400043517 0.46815442 0.07003485 1.07434588 1.9243433 #> [2,] -0.005571287 0.73777632 -0.25148344 -0.24589641 0.5562243 #> [3,] 0.621552721 1.88850493 0.44479712 -1.17756331 -0.5482573 #> [4,] -0.247325302 -0.01595031 0.57770907 0.13167063 -0.1556938 #> [5,] 2.065024895 0.24368546 -0.20608719 1.33732041 1.0487126 #> [6,] 0.512426950 0.11203808 0.02956075 1.31829338 0.4861489 #> [7,] -1.863011492 -0.13399701 0.54982754 0.52390979 1.6728826 #> [8,] 0.542996343 -0.31344598 -0.36122126 0.17218172 1.3168264 #> [9,] -0.914074827 1.06730788 0.21335575 -0.09032729 -0.2966400