corr_coef {structToolbox} | R Documentation

## Correlation Coefficient

### Description

Calculates correlation between features and continuous variables.

### Usage

    corr_coef(alpha = 0.05, mtc = "fdr", factor_names, method = "spearman", ...)

### Arguments

`alpha` | p-value threshold for determining significance. Default alpha = 0.05.
`mtc` | multiple test correction method to apply. Can be: holm, hochberg, hommel, bonferroni, BH, BY, fdr or none
`factor_names` | Sample_meta column names to correlate features with
`method` | 'Calculate "kendall", "pearson" or "spearman" correlation coefficient. Default method = "spearman".'
`...` | additional slots and values passed to struct_class

### Value

struct object

### Examples

    D = MTBLS79_DatasetExperiment(filtered=TRUE)

    # subset for this example
    D = D[,1:10]

    # convert to numeric for this example
    D$sample_meta$sample_order=as.numeric(D$sample_meta$sample_order)
    D$sample_meta$sample_rep=as.numeric(D$sample_meta$sample_rep)

    M = corr_coef(factor_names=c('sample_order','sample_rep'))
    M = model_apply(M,D)

[Package structToolbox version 1.0.1 Index]