add_col_summary | R Documentation |
Adds a line plot summarizing the values across columns
## S4 method for signature 'Iheatmap'
add_col_summary(
p,
groups = NULL,
heatmap_name = NULL,
colors = NULL,
tracename = "Col Summary",
showlegend = FALSE,
side = c("top", "bottom"),
layout = list(),
size = 0.3,
buffer = 0.02,
xname = current_xaxis(p),
yname = NULL,
type = c("scatter", "bar"),
summary_function = c("mean", "median", "sd", "var", "mad", "max", "min", "sum"),
...
)
p |
|
groups |
vector of group labels, name of groups colorbar, or TRUE – see Details |
heatmap_name |
name of a heatmap within the plot |
colors |
vector of colors or RColorBrewer palette name |
tracename |
name of trace |
showlegend |
show legend? |
side |
side of plot on which to add subplot |
layout |
xaxis layout list |
size |
relative size of subplot relative to main heatmap |
buffer |
amount of space to leave empty before this plot, relative to size of first heatmap |
xname |
internal name of xaxis |
yname |
internal name of yaxis |
type |
scatter or bar? |
summary_function |
summary function to use, default is mean, options are mean, median, sd, var, mad, max, min, and sum |
... |
additional arguments to |
If adding the column summary to a vertically oriented heatmap, the summary will be based on the topmost heatmap if side is "top" and based on the bottom heatmap if side is "bottom" unless a "heatmap_name" is specified. The heatmap_name should match the "pname" argument given to a previously added heatmap.
The column summary is based on specific rows if a "groups" argument
is given. The groups argument can either be a vector of group assignments for
each row, the "pname" for an existing set of groups incorporated into the
plot using add_row_groups
, add_row_annotation
,
add_row_clusters
, or add_row_clustering
. If
groups is set to TRUE, then the function will use an existing set of row
groups added to the plot.
Iheatmap-class
object, which can be printed to generate
an interactive graphic
Alicia Schep
add_row_summary
, iheatmap
,
add_col_plot
mat <- matrix(rnorm(20), ncol = 5, nrow = 4)
hm1 <- iheatmap(mat) %>% add_col_summary()
hm2 <- iheatmap(mat) %>% add_col_summary(groups = c("A","A","B","B"))
# Print heatmap if interactive session
if (interactive()) hm1
if (interactive()) hm2
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