This function creates a new covariate bar suitable for adding to a Next Generation Clustered Heat Map.
Usage
chmNewCovariateBar(
covar,
display = "visible",
thickness = as.integer(10),
merge,
barType,
loBound,
hiBound,
fgColor,
bgColor
)Arguments
- covar
The covariate to be displayed in the bar.
- display
Whether the covariate bar will be "hidden" or "visible" (default).
- thickness
The thickness of the covariate bar in pixels. (Default 10).
- merge
Algorithm for merging covariates when necessary ("average", "peakColor", "specialColor", or "mostCommon").
- barType
Type of covariate bar ("color_plot", "scatter_plot", "bar_plot"). Default "color_plot".
- loBound
Low bound for bar and scatter plots. Default minimum data value.
- hiBound
High bound for bar and scatter plots. Default maximum data value.
- fgColor
Foreground color for bar and scatter plots. Default black.
- bgColor
Background color for bar and scatter plots. Default white.
Examples
bar.data <- ifelse(rnorm(1000) < 0, "negative", "non-negative")
names(bar.data) <- sprintf("Sample%d", 1:length(bar.data))
bar.colors <- chmNewColorMap(c("negative", "non-negative"),
c("white", "black"),
missing.color = "red"
)
covar <- chmNewCovariate("Group", bar.data, bar.colors, "discrete")
bar <- chmNewCovariateBar(covar)