mean_sd_plot: Mean vs. Standard Deviation plot

In espors/idepGolem: Integrated Differential Expression and Pathway Analysis

Mean vs. Standard Deviation plot

Description

Create a plot that shows the standard deviation as the Y-axis across the mean of the counts data on the X-axis. Option to make the X-axis the rank of the mean which does a better job showing the spread of the data.

Usage

mean_sd_plot(processed_data, rank, heat_cols)

Arguments

processed_data	Matrix of data that has gone through pre_process()
rank	TRUE/FALSE whether to use the rank of the mean or not
heat_cols	Heat color to use with black in the plot

Value

A formatted ggplot hexplot of the mean and standard deviation of the processed data

See Also

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

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

espors/idepGolem documentation built on Oct. 27, 2024, 4:56 a.m.