heatmap_lipidome: Create 'lipidomeR' heatmaps of arbitrary lipid-specific...
In lipidomeR: Integrative Visualizations of the Lipidome

Use this function to create a heatmap of any lipid-specific values. Note: Use the function heatmap_lipidome_from_limma to create heatmaps of model statistics.

heatmap_lipidome(
  x,
  names.mapping,
  axis.x.carbons = TRUE,
  class.facet = "row",
  fill.direction = "increasing",
  fill.limits = c(0, 40),
  fill.midpoint = 20,
  melt.value.name = "CV",
  melt.variable.name = NULL,
  melt.x = TRUE,
  range.min.N.carbons = 5,
  range.min.N.double.bonds = 5,
  scale.fill.log = NULL,
  scales = "free_y",
  space = "free",
  x.names = "row.names",
  x.variables = NULL
)

`x`	(Required) named vector of numeric values to create a figure of. Names need to match to the argument names.mapping through the function `map_lipid_names`. Alternatively, a data frame can be supplied. In that case, set `melt.x = TRUE`.
`names.mapping`	(Required) mapping of lipid names from the `map_lipid_names` function.
`axis.x.carbons`	(Optional) `TRUE` or `FALSE`: Should the lipid size (i.e., number of carbon atoms in the fatty acid chain) be presented on the x-axis or y-axis?
`class.facet`	(Optional) character string with possible values `'col'`, `'row'` or `'wrap'`: Present lipid classes as panels organized into columns, rows or into a wrapped layout spanning over multiple rows and columns. The alternative `'wrap'` is only available with `plot.infividual = TRUE`.
`fill.direction`	(Optional) `TRUE` or `FALSE`: Should color fill be in an increasing direction?
`fill.limits`	(Optional) numeric vector of length two, indicating the limits of the fill scale.
`fill.midpoint`	(Optional) numeric value specifying the midpoint of the fill scale.
`melt.value.name`	(Optional) character string, specifying the name of the variable that will be shown as fill in the heatmap.
`melt.variable.name`	(Optional) character string, specifying the name of of the variable that will be used to creating faceted sub-heatmaps.
`melt.x`	(Optional) `TRUE` or `FALSE`: Should the argument `x` be molten by the function `melt` prior to plotting? Set `melt.x = TRUE`, if you want to plot a data frame instead of a vector of values. In that case, each column of the data frame will be plotted as an individual facet.
`range.min.N.carbons`	(Optional) numeric value to specify the minimum range of the axis showing the lipid size (number of carbon atoms in the fatty acid chains). This value can be increased from the default value to improve readability in situtions, where there are lipid classes with little or no variation in the lipid size.
`range.min.N.double.bonds`	(Optional) numeric value to specify the minimum range of the axis showing the lipid saturation (number of double bonds in the fatty acid chains). This value can be increased from the default value to improve readability in situtions, where there are lipid classes with little or no variation in the lipid saturation.
`scale.fill.log`	(Optional) numeric value specifying the base of the logarithm, which will be used to creating a logarithmic scale for the fill scale of the plot.
`scales`	(Optional) character string with possible values `'fixed'`, `'free'`, `'free_x'` or `'free_y'`. This argument specifies, whether the axes in multiple sub-heatmaps will be in the same scale (`'fixed'`) or in a scale specific to each sub-figure. See the function `facet_grid` for details.
`space`	(Optional) character string with possible values `'fixed'`, `'free'`, `'free_x'` or `'free_y'`. This argument specifies, whether the sub-heatmaps will be of identical size (`'fixed'`) or not.
`x.names`	(Optional) character string specifying the name of the variable in the argument `x`, which will be used to matching the values to the argument `names.mapping`. Use this argument only together with `melt.x = TRUE`.
`x.variables`	(Optional) character vector specifying the names of the variables, which will be included as individual facets in the figure. Use this argument only together with `melt.x = TRUE`.