Generate a specified plot outside the GUI

An interface to generate a specific graph seen when using the GUI. Settings include: metric, linkage, k, plotType, for details see the vignette on using this function.

Usage

makePlots(
  space1,
  settings,
  cov = NULL,
  covInv = NULL,
  exp = NULL,
  space2 = NULL,
  space2.cov = NULL,
  space2.covInv,
  space2.exp = NULL,
  user_dist = NULL,
  getCoordsSpace1 = normCoords,
  getCoordsSpace2 = normCoords,
  getScore = NULL,
  results = NULL
)

Arguments

space1

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

space2

dataframe of variables in linked space

space2.cov

covariance matrix for space 2

space2.covInv

inverse covariance matrix for space 2

space2.exp

reference point in space 2

user_dist

user defined distances

getCoordsSpace1

function to calculate coordinates in space 1

getCoordsSpace2

function to calculate coordinates in space 2

getScore

function to calculate scores and bins

results

an output of makeResults(), used to reduce computation when many plots are made.

Value

ggplot, plotly or detourr plot depending on settings$plotType

Examples

makePlots(
  space1 = Bikes$space1,
  settings = list(
    plotType = "WC", x = "hum", y = "temp", k = 4, metric = "euclidean",
    linkage = "ward.D2", WCa = 0.5, showalpha = TRUE
  ), cov = cov(Bikes$space1),
  space2 = Bikes$space2, getScore = outsideScore(Bikes$other$res, "Residual")
)


makePlots(
  space1 = Bikes$space1,
  settings = list(
    plotType = "tour", k = 4, metric = "euclidean", linkage = "ward.D2",
    tourspace = "space1", colouring = "clustering", out_dim = 2, tour_path = "grand",
    display = "scatter", radial_start = NULL, radial_var = NULL, slice_width = NULL, seed = 2025
  ),
  cov = cov(Bikes$space1), space2 = Bikes$space2,
  getScore = outsideScore(Bikes$other$res, "Residual")
)