eda_density: Density plot for the processed data

In espors/idepGolem: Integrated Differential Expression and Pathway Analysis

Density plot for the processed data

Description

This function takes in the processed data and sample info and creates a density plot for the distribution of sequences that are mapped to each sample.

Usage

eda_density(processed_data, sample_info, plots_color_select)

Arguments

processed_data	Matrix of gene data that has gone through pre_process()
sample_info	Sample_info from the experiment file
plots_color_select	Vector of colors for plots

Value

A density plot as a ggplot object

See Also

Other plots: PCA_plot(), chr_counts_ggplot(), chr_normalized_ggplot(), cor_plot(), draw_sample_tree(), eda_boxplot(), eda_scatter(), gene_counts_ggplot(), individual_plots(), k_means_elbow(), mean_sd_plot(), rRNA_counts_ggplot(), sd_density(), t_SNE_plot(), total_counts_ggplot()

Other preprocess functions: chr_counts_ggplot(), chr_normalized_ggplot(), eda_boxplot(), eda_scatter(), gene_counts_ggplot(), individual_plots(), mean_sd_plot(), pre_process(), rRNA_counts_ggplot(), total_counts_ggplot()

espors/idepGolem documentation built on April 23, 2024, 1:11 p.m.