minFragCart2Polar {MetCirc} | R Documentation |
Calculates the nearest feature in polar coordinates given cartesian coordinates
minFragCart2Polar(x, y, degreeOfFeatures)
x |
cartesian x coordinate |
y |
cartesian y coordinate |
degreeOfFeatures |
list of positions of features |
minFragCart2Polar
is employed to find the feature with
the smallest distance from given cartesian coordinates.
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.
Thomas Naake, thomasnaake@googlemail.com
## 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)