Layer a polygon

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.

l_layer_polygon(
  widget,
  x,
  y,
  color = "gray80",
  linecolor = "black",
  linewidth = 1,
  label = "polygon",
  parent = "root",
  index = 0,
  ...
)

Arguments

widget	widget path name as a string
x	x coordinates
y	y coordinates
color	fill color, if empty string "", then the fill is transparant
linecolor	outline color
linewidth	linewidth of outline
label	label used in the layers inspector
parent	group layer
index	of the newly added layer in its parent group
...	additional state initialization arguments, see l_info_states

Value

layer object handle, layer id

Details

For more information run: l_help("learn_R_layer")

See also

l_layer, l_info_states

Examples

if (interactive()){
set.seed(500)
x <- rnorm(30)
y <- 4 + 3*x + rnorm(30)
fit <- lm(y~x)
xseq <- seq(min(x)-1, max(x)+1, length.out = 50)
fit_line <- predict(fit, data.frame(x=range(xseq)))
ci <- predict(fit, data.frame(x=xseq),
              interval="confidence", level=0.95)
pi <- predict(fit, data.frame(x=xseq),
              interval="prediction", level=0.95)


p <- l_plot(y~x, color='black', showScales=TRUE, showGuides=TRUE)
gLayer <- l_layer_group(
    p, label="simple linear regression",
    parent="root", index="end"
)
fitLayer <- l_layer_line(
    p, x=range(xseq), y=fit_line, color="#04327F",
    linewidth=4, label="fit", parent=gLayer
)
ciLayer <- l_layer_polygon(
    p,
    x = c(xseq, rev(xseq)),
    y = c(ci[,'lwr'], rev(ci[,'upr'])),
    color = "#96BDFF", linecolor="",
    label = "95 % confidence interval",
    parent = gLayer, index='end'
)
piLayer <- l_layer_polygon(
    p,
    x = c(xseq, rev(xseq)),
    y = c(pi[,'lwr'], rev(pi[,'upr'])),
    color = "#E2EDFF", linecolor="",
    label = "95 % prediction interval",
    parent = gLayer, index='end'
)

l_info_states(piLayer)

}