deva_results {blacksheepr} | R Documentation

## Utility function that allows easier grabbing of data

### Description

Utility function that allows easier grabbing of data

### Usage

    deva_results(deva_out, ID = NULL, type = NULL)

### Arguments

`deva_out` | output from the deva function
`ID` | The keyword to search through analyses and grab desired output
`type` | <"table" | "heatmap" | "fraction_table" | "median" | "boundary"> to return the desirted analysis type

### Value

desired subset of analysis from deva

### Examples

    suppressPackageStartupMessages(library(SummarizedExperiment))
    data("sample_phosphodata")
    data("sample_annotationdata")

    se = SummarizedExperiment(
        assays = list(counts = as.matrix(sample_phosphodata[1:1000,])),
        colData = DataFrame(sample_annotationdata))

    deva_out = deva(se = se,
        analyze_negative_outliers = FALSE, aggregate_features = TRUE,
        feature_delineator = "-", fraction_samples_cutoff = 0.3,
        fdrcutoffvalue = 0.1)

    deva_results(deva_out, ID = "outlieranalysis", type = "table")

[Package blacksheepr version 1.6.0 Index]