l_layer_lines: Layer lines

In loon: Interactive Statistical Data Visualization

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,
  ...
)

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")

Value

layer object handle, layer id

See Also

l_layer, l_info_states

Examples

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)

}

loon documentation built on July 9, 2023, 5:48 p.m.