make_outlier_table {blacksheepr} | R Documentation

## Separate out the "i"th gene, take the bounds, and then create a column that says whether or not this gene is high, low, or none in a sample with regards to the other samples in the dataset. Repeat this for every gene to create a reference table.

### Description

Separate out the "i"th gene, take the bounds, and then create a column that says whether or not this gene is high, low, or none in a sample with regards to the other samples in the dataset. Repeat this for every gene to create a reference table.

### Usage

    make_outlier_table(intable, analyze_negative_outliers = FALSE)

### Arguments

`intable` | table with all of the inputted information, samples along the x-axis, features along the y-axis
`analyze_negative_outliers` | DEFAULT: FALSE; Toggle the analysis of outliers in the negative direction. Will lead to the output of the outlier table containing "-1" values, in addition to negative outputs for boundaries and aggregate tables (if applicable)

### Value

a list with varied sections depending on parameters: $outliertab - table converted to outlier form with 0s, 1s, and -1s, $upperboundtab - list of upper boundaries for outliers $lowerboundtab - list of lower boundaries of outliers $sampmedtab - list of median value per feature

### Examples

    data("sample_phosphodata")
    reftable_function_out <- make_outlier_table(sample_phosphodata[1:1000,],
        analyze_negative_outliers = FALSE)
    outliertab <- reftable_function_out$outliertab
    upperboundtab <- reftable_function_out$upperboundtab
    lowerboundtab <- reftable_function_out$lowerboundtab
    sampmedtab <- reftable_function_out$sampmedtab

[Package blacksheepr version 1.6.0 Index]