visHexMapping {supraHex} | R Documentation

## Function to visualise various mapping items within a supra-hexagonal grid

### Description

`visHexMapping` is supposed to visualise various mapping items within a supra-hexagonal grid

### Usage

    visHexMapping(sObj, mappingType = c("indexes", "hits", "dist",
    "antidist", "bases", "customized"), labels = NULL, height = 7,
    margin = rep(0.1, 4), area.size = 1, gp = grid::gpar(cex = 0.7,
    font = 1, col = "black"), border.color = NULL,
    fill.color = "transparent", lty = 1, lwd = 1, lineend = "round",
    linejoin = "round", clip = c("on", "inherit", "off"),
    newpage = TRUE)

### Arguments

`sObj` | an object of class "sMap" or "sInit" or "sTopol"
`mappingType` | the mapping type, can be "indexes", "hits", "dist", "antidist", "bases", and "customized"
`labels` | NULL or a vector with the length of nHex
`height` | a numeric value specifying the height of device
`margin` | margins as units of length 4 or 1
`area.size` | an inteter or a vector specifying the area size of each hexagon
`gp` | an object of class "gpar". It is the output from a call to the function "gpar" (i.e., a list of graphical parameter settings)
`border.color` | the border color for each hexagon
`fill.color` | the filled color for each hexagon
`lty` | the line type for each hexagon. 0 for 'blank', 1 for 'solid', 2 for 'dashed', 3 for 'dotted', 4 for 'dotdash', 5 for 'longdash', 6 for 'twodash'
`lwd` | the line width for each hexagon
`lineend` | the line end style for each hexagon. It can be one of 'round', 'butt' and 'square'
`linejoin` | the line join style for each hexagon. It can be one of 'round', 'mitre' and 'bevel'
`clip` | either "on" for clipping to the extent of this viewport, "inherit" for inheriting the clipping region from the parent viewport, or "off" to turn clipping off altogether
`newpage` | logical to indicate whether to open a new page. By default, it sets to true for opening a new page

### Value

invisible

### Note

The mappingType includes:

- "indexes": the index of hexagons in a supra-hexagonal grid

- "hits": the number of input data vectors hitting the hexagons

- "dist": distance (in high-dimensional input space) to neighbors (defined in 2D output space)

- "antidist": the oppose version of "dist"

- "bases": clusters partitioned from the sMap

- "customized": displaying input "labels"

### See Also

`sDmat`, `sDmatCluster`, `visHexGrid`

### Examples

    # 1) generate data with an iid matrix of 1000 x 9
    data <- cbind(matrix(rnorm(1000*3,mean=0,sd=1), nrow=1000, ncol=3),
    matrix(rnorm(1000*3,mean=0.5,sd=1), nrow=1000, ncol=3),
    matrix(rnorm(1000*3,mean=-0.5,sd=1), nrow=1000, ncol=3))
    colnames(data) <- c("S1","S1","S1","S2","S2","S2","S3","S3","S3")

    # 2) sMap resulted from using by default setup
    sMap <- sPipeline(data=data)

    # 3) visualise supported mapping items within a supra-hexagonal grid
    # 3a) for indexes of hexagons
    visHexMapping(sMap, mappingType="indexes", fill.color="transparent")
    # 3b) for the number of input data vectors hitting the hexagons
    visHexMapping(sMap, mappingType="hits", fill.color=NULL)
    # 3c) for distance (in high-dimensional input space) to neighbors (defined in 2D output space)
    visHexMapping(sMap, mappingType="dist")
    # 3d) for clusters/bases partitioned from the sMap
    visHexMapping(sMap, mappingType="bases")

[Package supraHex version 1.24.0 Index]