beta_heatmap: Create heatmaps of the supplied dissimilarity matrices

In CharlieCarpenter/tidy.micro: A Pipeline For Microbiome Analysis And Visualization

Description

Create heatmaps of the supplied dissimilarity matrices ordered by supplied grouping variables

Usage

beta_heatmap(
  beta_div,
  micro_set,
  ...,
  low_grad,
  high_grad,
  main = NULL,
  xlab = NULL,
  ylab = NULL,
  subtitle = NULL,
  natural_order = TRUE,
  legend_title = "Dissimilarity"
)

Arguments

beta_div	A dissimilarity matrix calculated by beta_div
micro_set	A tidy_micro data set
...	Variables for ordering
low_grad	Colors for the corelation magnitude. Will be fed into scale_fill_gradient
high_grad	Colors for the corelation magnitude. Will be fed into scale_fill_gradient
main	Plot title
xlab	x-axis label
ylab	y-axis label
subtitle	Plot label
natural_order	Keep order of axes in the conventional order for dissimilarity matrices
legend_title	Title for the legend

Value

Returns a ggplot that you can add geoms to if you'd like

Examples

data(phy); data(cla); data(ord); data(fam); data(met)

otu_tabs = list(Phylum = phy, Class = cla, Order = ord, Family = fam)
set <- tidy_micro(otu_tabs = otu_tabs, meta = met) %>%
filter(day == 7) ## Only including the first week

## Bray-Curtis beta diversity
bray <- set %>% beta_div(table = "Family")

bray %>% beta_heatmap(set, bpd1)

CharlieCarpenter/tidy.micro documentation built on Jan. 19, 2020, 6:28 p.m.