plot_correlation: plot_correlation
In yeguanhuav/visual16S: Visualization functions for 16S and Metagenomics analysis

Description Usage Arguments

plot_correlation can plot correlation using a correlation table.

plot_correlation(
  cor_tab,
  x = NA,
  y = NA,
  method = "spearman",
  histogram = FALSE,
  heatmap = FALSE,
  range = c(-1, 0, 1),
  range_color = c("blue", "white", "red"),
  row_order = NULL,
  col_order = NULL,
  row_title = NA,
  col_title = NA,
  font_size = 12
)

`cor_tab`	A data frame that contains at least two columns to calculate correlation. Columns are different samples. Doesn't require rownames.
`x`	Colname of cor_tab. If x's length is more than 1, plot_correlation will calculate correlation respectively and facet the plot by x.
`y`	Colname of cor_tab.
`method`	A character string indicating which correlation coefficient is to be used. One of c("pearson", "kendall", or "spearman"), default is "spearman".
`histogram`	Add histogram to the plot. Default is FALSE.
`heatmap`	Dafault FASLE. If TRUE, will generate a correlation heatmap with input table. Doesn't require x or y.
`range`	A vector indicating numeric breaks, which will be pass to circlize::colorRamp2( breaks), default is c(-1, 0, 1).
`range_color`	A vector of colors which correspond to values in breaks, which will be pass to circlize::colorRamp2(colors), default is c("blue", "white", "red").
`row_order`	Default NULL. Input a vector of ordered rownames if need to adjust row order for heatmap. Manually setting row order will turn off clustering.
`col_order`	Default NULL. Input a vector of ordered colnames if need to adjust column order for heatmap. Manually setting column order will turn off clustering.
`row_title`	Same as ComplexHeatmap::Heatmap(row_title).
`col_title`	Same as ComplexHeatmap::Heatmap(column_title).
`font_size`	Default 12. Font size of the number in heatmap.