confusion_pipeline: Calclulate and plot confusions

In wikiselev/clustools: Tools for cluster analysis of single cell high throughput data

Description

Only works on the output of machine_learning_pipeline function from this package.

Usage

confusion_pipeline(dataset, n.dim)

Arguments

dataset	Name of the toy dataset.
n.dim	Number of dimensions used for clustering of the toy dataset

Details

Calculate and plot confusions.

Value

Two files with values of confusions and plot of the confussions facetted by different methods

Examples

confusion_pipeline("quake", 4)

wikiselev/clustools documentation built on May 4, 2019, 5:25 a.m.