densityPlot: Create density plot

Description

This function creates a density plot.

Usage

densityPlot(
  df,
  title = NULL,
  colorScheme = c("cloudy", "cake", "grapes", "lava", "oasis", "orichalc", "sea", "sky",
    "custom"),
  useSchemeDefaults = TRUE,
  drawNN = TRUE,
  drawScores = FALSE,
  xLab = NULL,
  yLab = NULL,
  legendTitle = "Density",
  palette = NULL,
  segColor = "black",
  pointSize = 1,
  pointColor = "red",
  segType = c("dashed", "solid", "dotted", "dotdash", "longdash", "twodash"),
  segWidth = 0.4,
  nGridPoints = 300,
  expandPerc = 20,
  labelType = c("free", "boxed"),
  labelSize = 3,
  labelColor = "black",
  labelRepulsion = 1,
  labelPull = 1,
  maxOverlaps = 10,
  labelPadding = 0,
  boxPadding = 0,
  labelSegWidth = 0.4,
  legendPos = c("right", "none"),
  legendTextSize = 10,
  legendTitleSize = 10,
  axisTextSize = 12,
  axisTitleSize = 12,
  verbose = FALSE,
  ...
)

Value

An object of class gg.

Arguments

df: A data frame with at least two columns, representing the x and y coordinates of the points. A score column can also be provided as the third column. Nearest neighbor information can be provided in the last column as a character vector with elements selected from the rownames.
title: Plot title.
colorScheme: Color scheme. Choose between 'cake', 'cloudy', 'grapes', 'lava', oasis', 'orichalc', 'sea', 'sky' and 'custom'. Default is 'cloudy'.
useSchemeDefaults: Whether to use the default segColor, pointColor and labelColor values for scheme. Ignored if colorScheme is set to 'custom'.
drawNN: Whether to draw segments linking each point to its nearest neighbor.
drawScores: Whether to render scores on the plot. If set to TRUE, the third column of the input data frame will be numeric and scores will be taken from there.
xLab: x axis label.
yLab: y axis label.
legendTitle: Legend title.
palette: A character vector of colors. Used only if color scheme is set to 'custom'.
segColor: Nearest neighbor segment color. Ignored if drawNN is set to FALSE, or if useSchemeDefaults is TRUE and colorScheme is different from 'custom'.
pointSize: Point size.
pointColor: Point color. Ignored if useSchemeDefaults is TRUE and colorScheme is different from 'custom'.
segType: Nearest neighbor segment type. Choose between 'solid', 'dashed', 'dotted','dotdash', 'longdash' and 'twodash'. Ignored if drawNN is set to FALSE.
segWidth: Nearest neighbor segment width. Ignored if drawNN is set to FALSE.
nGridPoints: Number of grid points in each direction.
expandPerc: Percentage by which the grid will be expanded.
labelType: Whether to draw a box around labels (option 'boxed') or not (option 'free'). Default is 'free'.
labelSize: Label size.
labelColor: Label color. Ignored if useSchemeDefaults is TRUE and colorScheme is different from 'custom'.
labelRepulsion: Repulsion strength between labels.
labelPull: Attraction strength between a text label and its data point.
maxOverlaps: Maximum number of allowed overlaps.
labelPadding: Amount of padding around label.
boxPadding: Amount of padding around box.
labelSegWidth: Thickness of segment connecting label to point.
legendPos: Legend position. Choose between 'right' and 'none'.
legendTextSize: Legend text size.
legendTitleSize: Legend title size.
axisTextSize: Axis text size.
axisTitleSize: Axis title size.
verbose: Whether output should be verbose.
...: Additional arguments passed to centerTitle.

Examples

Run this code

x <- c(1, 2, 3, 4, 6, 7, 8, 10, 12, 11, 3, 6, 4, 1, 13, 13, 14, 18, 16)
y <- c(1, 3, 1, 4, 3, 2, 8, 2, 1, 11, 8, 8, 10, 14, 13, 11, 11, 12,15)
z <- round(runif(19, 75, 100), 2)
df <- data.frame(x, y, z)
rownames(df) <- paste0('p', rownames(df))
densityPlot(df)

Run the code above in your browser using DataLab