View source: R/fct_03_clustering.R
cor_plot | R Documentation |
Creates a correlation matrix heatmap from the heatmap data to demonstrate the correlation between samples.
cor_plot(data, label_pcc, heat_cols, text_col)
data |
Heatmap data from |
label_pcc |
TRUE/FALSE t0 Label with correlation coefficient |
heat_cols |
Vector of colors to use in the correlation matrix |
text_col |
Color to make the text labels in the plot |
ggplot2
object as heatmap of correlation matrix
Other plots:
PCA_plot()
,
chr_counts_ggplot()
,
chr_normalized_ggplot()
,
draw_sample_tree()
,
eda_boxplot()
,
eda_density()
,
eda_scatter()
,
gene_counts_ggplot()
,
individual_plots()
,
k_means_elbow()
,
mean_sd_plot()
,
rRNA_counts_ggplot()
,
sd_density()
,
t_SNE_plot()
,
total_counts_ggplot()
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