ScatterPlot: ScatterPlot
In ManonMartin/MBXUCL: R Routines for metabolomic data

Description Usage Arguments Details Value Examples

Draws scatter plots.

ScatterPlot(
  x,
  y,
  points_labs = NULL,
  createWindow = FALSE,
  main = NULL,
  color = NULL,
  pch = NULL,
  size = 1,
  cex.lab = 3,
  xlab = NULL,
  ylab = NULL,
  legend_pch = NULL,
  legend_color = NULL,
  drawEllipses = FALSE,
  typeEl = "norm",
  levelEl = 0.9
)

`x`	x-axis values.
`y`	y-axis values.
`points_labs`	If not `NULL`, will show the labels for each observation on the plot.
`createWindow`	If `TRUE`, will create a new window for the plot.
`main`	Plot title. If `NULL`, default title is provided.
`color`	Optional character, factor or numeric vector giving the color of the observations. If `length(color)` = 1, the unique color is kept for all the points.
`pch`	Optional character, factor or numeric vector giving the pch of the observations.
`size`	The points size.
`cex.lab`	The size of points labels.
`xlab`	If not `NULL`, label for the x-axis.
`ylab`	If not `NULL`, label for the y-axis.
`legend_pch`	If not `NULL`, the labels for the pch legend.
`legend_color`	If not `NULL`, the labels for the color legend.
`drawEllipses`	If `TRUE`, will draw ellipses with the `ggplot2::stat_ellipse` with groups coresponding to the color vector.
`typeEl`	The type of ellipse, either "norm" (multivariate normal distribution), "t" (multivariate t-distribution) and "euclid" draws a circle with the radius equal to level, representing the euclidean distance from the center.
`levelEl`	The confidence level at which to draw an ellipse.

If type.obj is 'OPLSDA', axes = 1 represents the predictive score vector, axes = 2 represents the first orthogonal score vector, etc.

A score or loading plot in the current device.

x <- c(1:20)
y <- sample(20)
colors <- c(rep(1,10), rep(2,10))
points_pch <-  c(rep(17,10), rep(18,10))
labels <- as.character(c(1:20))
# automatic legend names and values assignment
ScatterPlot(x = x, y = y, points_labs = labels, createWindow=FALSE,
           main = 'Scatter plot', color = colors, pch = points_pch,
           xlab = "x axis", ylab = "y axis")

# decide on the color or pch values
legend_color = c(rep("A", 10), rep("B", 10))
legend_pch = c(rep("C", 10), rep("D", 10))
ScatterPlot(x = x, y = y, points_labs=labels, createWindow=FALSE,
           main = 'Scatter plot', color = colors, pch = points_pch,
           xlab = "x axis", ylab = "y axis",
           legend_pch = legend_pch,legend_color=legend_color)