Visual_Rslt {FEAST} | R Documentation

## Using clustering results based on feature selection to perform model selection.

### Description

Using clustering results based on feature selection to perform model selection.

### Usage

    Visual_Rslt(model_cv_res, trueclass)

### Arguments

`model_cv_res` | model selection result from `Select_Model_short_SC3`.
`trueclass` | The real class labels

### Value

a list of mse dataframe, clustering accuracy dataframe, and ggplot object.

### Examples

    data(Yan)
    k = length(unique(trueclass))
    Y = process_Y(Y, thre = 2) # preprocess the data
    set.seed(123)
    rixs = sample(nrow(Y), 500)
    cixs = sample(ncol(Y), 40)
    Y = Y[rixs, ]
    con_res = Consensus(Y, k=k)
    # Not run
    # mod_res = Select_Model_short_SC3(Y, cluster = con_res$cluster, top = c(100, 200))
    library(ggpubr)
    # Visual_Rslt(model_cv_res = mod_res, trueclass = trueclass)

[Package FEAST version 1.2.0 Index]