xEnrichRadial | R Documentation

## Function to visualise enrichment results using radial-like plot

### Description

`xEnrichRadial` is supposed to visualise enrichment results using radial-like plot. It returns three ggplot2 objects, the first for visualing the network with nodes lablelled by codes, the second for listing code meaning in a table, and the third for the network with nodes colored/sized with enrichment results.

### Usage

    xEnrichRadial(eTerm, ig = NULL, fixed = T, node.color = c("or",
    "adjp", "zscore"), colormap = "grey-orange-darkred", zlim = NULL,
    node.size = c("adjp", "or", "zscore"), slim = NULL,
    node.size.range = c(0.5, 3.5), edge.color = "skyblue",
    edge.color.alpha = 0.5, edge.curve = 0.1, edge.arrow.gap = 0.02,
    ...)

### Arguments

`eTerm` | an object of class "eTerm" or "ls_eTerm". Alterntively, it can be a data frame having all these columns ('name','adjp','or','zscore'; 'group' optionally). Be aware that multiple ontologies are not supported here
`ig` | the igraph object. If provided, only those terms within it will be visualised. By default, it is NULL meaning no surch restriction
`fixed` | logical to indicate whether all terms in ig will be visualised. By default, it is TURE; otherwise only overlapped terms from eTerm will be visualised
`node.color` | which statistics will be used for node coloring. It can be "or" for the odds ratio, "adjp" for adjusted p value (FDR) and "zscore" for enrichment z-score
`colormap` | short name for the colormap. It can be one of "jet" (jet colormap), "bwr" (blue-white-red colormap), "gbr" (green-black-red colormap), "wyr" (white-yellow-red colormap), "br" (black-red colormap), "yr" (yellow-red colormap), "wb" (white-black colormap), "rainbow" (rainbow colormap, that is, red-yellow-green-cyan-blue-magenta), and "ggplot2" (emulating ggplot2 default color palette). Alternatively, any hyphen-separated HTML color names, e.g. "lightyellow-orange" (by default), "blue-black-yellow", "royalblue-white-sandybrown", "darkgreen-white-darkviolet". A list of standard color names can be found in http://html-color-codes.info/color-names
`zlim` | the minimum and maximum values for which colors should be plotted
`node.size` | which statistics will be used for node size. It can be "or" for the odds ratio, "adjp" for adjusted p value (FDR) and "zscore" for enrichment z-score
`slim` | the minimum and maximum values for which sizes should be plotted
`node.size.range` | the range of actual node size
`edge.color` | a character specifying which edge attribute defining the the edge colors
`edge.color.alpha` | the 0-1 value specifying transparency of edge colors
`edge.curve` | a numeric value specifying the edge curve. 0 for the straight line
`edge.arrow.gap` | a gap between the arrow and the node
`...` | additional graphic parameters used in xGGnetwork

### Value

a list with 3 components, three ggplot objects (code, table, data) and an igraph object (ig appended with node attributes 'zscore', 'adjp' and 'or')

### Note

none

### See Also

`xEnrichViewer`, `xOBOcode`, `xGGnetwork`

### Examples

    ## Not run:
    # Load the XGR package and specify the location of built-in data
    library(XGR)
    RData.location <- "http://galahad.well.ox.ac.uk/bigdata/"

    ls_res <- xEnrichRadial(eTerm, ig, fixed=T, node.color="or",
    colormap="grey-orange-darkred", zlim=c(0,7), node.size="adjp",
    slim=c(0,30), node.size.range=c(1,3))
    pdf("xEnrichRadial.pdf", width=6.5, height=6.5)
    print(ls_res$data + coord_equal(ratio=1.3))
    print(ls_res$code + coord_equal(ratio=1.3))
    print(ls_res$table)
    dev.off()

    # advanced use: customise layout
    ig.PhasedTargets <- xRDataLoader('ig.PhasedTargets',
    RData.location=RData.location)
    ig <- xLayout(ig.PhasedTargets,
    layout="gplot.layout.fruchtermanreingold")
    ls_res <- xEnrichRadial(df, ig=ig, fixed=F, node.color="or",
    node.size="adjp", node.xcoord="xcoord", node.ycoord="ycoord")
    pdf("xEnrichRadial.pdf", width=6.5, height=6.5)
    print(ls_res$data + coord_equal())
    gridExtra::grid.arrange(grobs=c(list(ls_res$code+coord_equal()),ls_res$table),
    ncol=2)
    dev.off()

    ## End(Not run)