eda_scatter: Scatterplot for EDA on processed data

In espors/idepGolem: Integrated Differential Expression and Pathway Analysis

Scatterplot for EDA on processed data

Description

This function takes the data after it has been pre-processed and creates a scatterplot of the counts for two samples that are indicated by the user.

Usage

eda_scatter(processed_data, plot_xaxis, plot_yaxis)

Arguments

processed_data	Matrix of data that has gone through prep_process()
plot_xaxis	Character string indicating sample to plot on the x-axis
plot_yaxis	Character string indicating sample to plot on the y axis

Value

A scatterplot a ggplot object

See Also

Other plots: PCA_plot(), chr_counts_ggplot(), chr_normalized_ggplot(), cor_plot(), draw_sample_tree(), eda_boxplot(), eda_density(), 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_density(), 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.