update_sample_factors

Update sample metadata to order categorical variables based on a
specified factor order.

Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.

Sean Hackett

romic

R for High-Dimensional Molecular Data

Calico Life Sciences LLC 

update_sample_factors function

<dl><dt>tomic</dt>
<dd>Either a <code>tidy_omic</code> or <code>triple_omic</code> object</dd>
<dt>factor_levels</dt>
<dd>a character vector specifying the ordering of factor levels.</dd></dl>

Arguments

Update Sample Factors — update_sample_factors

<dl>

<dt>tomic</dt>
<dd>Either a <code>tidy_omic</code> or <code>triple_omic</code> object</dd>


<dt>factor_levels</dt>
<dd>a character vector specifying the ordering of factor levels.</dd>

</dl>

update_sample_factors: Update Sample Factors

Description

Usage

Value

Arguments

Examples