l_layer_lines: Layer lines

Description

Loon's displays that are based on Cartesian coordinates (i.e. scatterplot, histogram and graph display) allow for layering visual information including polygons, text and rectangles.

Usage

l_layer_lines(
  widget,
  x,
  y,
  color = "black",
  linewidth = 1,
  label = "lines",
  parent = "root",
  index = 0,
  group = NULL,
  active = TRUE,
  ...
)

Value

layer object handle, layer id

Arguments

widget: widget path name as a string
x: list with vectors with x coordinates
y: list with vectors with y coordinates
color: color of lines
linewidth: vector with line widths
label: label used in the layers inspector
parent: group layer
index: of the newly added layer in its parent group
group: separate x vector or y vector into a list by group.
active: a logical determining whether objects appear or not (default is TRUE for all).
...: additional state initialization arguments, see l_info_states

Details

For more information run: l_help("learn_R_layer")

Examples

Run this code

if(interactive()){

s <- Filter(function(df)nrow(df) > 1, split(UsAndThem, UsAndThem$Country))
sUaT <- Map(function(country){country[order(country$Year),]} , s)
xcoords <- Map(function(x)x$Year, sUaT)
ycoords <- Map(function(x)x$LifeExpectancy, sUaT)
region <- sapply(sUaT, function(x)as.character(x$Geographic.Region[1]))

p <- l_plot(showItemLabels=TRUE)
l <- l_layer_lines(p, xcoords, ycoords, itemLabel=names(sUaT), color=region)
l_scaleto_layer(l)

# Set groups
p <- l_plot(showItemLabels=TRUE)
l <- l_layer_lines(p,
                   x = c((0:4)/10, rep(.5, 5), (10:6)/10, rep(.5, 5)),
                   y = c(rep(.5, 5), (10:6/10), rep(.5, 5), (0:4)/10),
                   group = rep(1:5, 4),
                   linewidth = 4,
                   col = l_getColorList()[1:5])
l_scaleto_layer(l)

}