Generate Results for makePlots

Settings are: metric, linkage, k. for details see the vignette on makePlots

Usage

makeResults(
  cluster,
  settings,
  cov = NULL,
  covInv = NULL,
  exp = NULL,
  linked = NULL,
  linked.cov = NULL,
  linked.covInv,
  linked.exp = NULL,
  user_dist = NULL,
  getCoordsSpace1 = normCoords,
  getCoordsSpace2 = normCoords,
  getScore = NULL
)

Arguments

cluster

dataframe of variables in cluster space

settings

list specifying parameters usually selected in the app

cov

covariance matrix for space 1

covInv

inverse covariance matrix for space 1

exp

reference point in space 1

linked

dataframe of variables in linked space

linked.cov

covariance matrix for space 2

linked.covInv

inverse covariance matrix for space 2

linked.exp

reference point in space 2

user_dist

user defined distances

getCoordsSpace1

function to calculate coordinates in cluster space

getCoordsSpace2

function to calculate coordinates in linked space

getScore

function to calculate scores and bins

Value

list of results to be passed to makePlots

Examples

r <- makeResults(cluster = Bikes$space1, settings = list(k = 4,
   metric = "euclidean", linkage = "ward.D2"), cov = cov(Bikes$space1),
   linked = Bikes$space2, getScore = outsideScore(Bikes$other$res, "Residual"))
makePlots(cluster = Bikes$space1, settings = list(plotType = "Obs",
   x = "hum", y = "temp", obs = "A1"), cov = cov(Bikes$space1),
   linked = Bikes$space2, getScore = outsideScore(Bikes$other$res, "Residual"),
   results = r)