minFragCart2Polar {MetCirc} | R Documentation

## Calculate the nearest feature in polar coordinates given cartesian coordinates

### Description

Calculates the nearest feature in polar coordinates given cartesian coordinates

### Usage

    minFragCart2Polar(x, y, degreeOfFeatures)

### Arguments

`x` | cartesian x coordinate
`y` | cartesian y coordinate
`degreeOfFeatures` | list of positions of features

### Details

`minFragCart2Polar` is employed to find the feature with the smallest distance from given cartesian coordinates.

### Value

`minFragCart2Polar` returns the index of the feature that has the smallest distance to the given coordinates. As `minFragCart2Polar` is used in `shinyCircos` for the track 1 only polar r coordinates between 0.8 and 1 will be used to find the feature with smallest distance.

### Author(s)

Thomas Naake, thomasnaake@googlemail.com

### Examples

    ## load binnedMSP
    data("binnedMSP", package = "MetCirc")
    ## use only a selection
    binnedMSP <- binnedMSP[c(1:20, 29:48, 113:132, 240:259),]
    simM <- createSimilarityMatrix(binnedMSP)
    groupname <- rownames(simM)
    plotCircos(groupname, NULL, initialize = TRUE, featureNames = FALSE,
         groupName = FALSE, groupSector = FALSE, links = FALSE, highlight = FALSE)
    x <- 1
    y <- 0
    degreeFeatures <- lapply(groupname,
     function(x) mean(circlize:::get.sector.data(x)[c("start.degree", "end.degree")]))
    minFragCart2Polar(x, y, degreeOfFeatures = degreeFeatures)

[Package MetCirc version 1.10.0 Index]