The l_plot method for classical seasonal decomposition of a time series by moving averages (i.e. via decompose)

Creates a decomposed time series plot based on objects of class decomposed.ts

# S3 method for decomposed.ts
l_plot(x, y = NULL, xlabel = NULL,
  ylabel = NULL, title = NULL, tk_title = NULL, color = NULL,
  size = 1, lcolor = NULL, linewidth = 1, linkingGroup = NULL,
  showScales = TRUE, showGuides = TRUE, showLabels = TRUE, ...)

Arguments

x	a decomposed.ts object
y	NULL, ignored
xlabel	the labels for the x axes. This is a length four character vector one for each: of the original time series, the trend component, the seasonality component, and the remainder. If of length 1, the label is repeated; if NULL, xlabel is "time".
ylabel	the labels for the vertical axes. This is a length four character vector one for each: of the original time series, the trend component, the seasonality component, and the remainder. If NULL, the default, ylabel will be c("data", "trend", "seasonality", "remainder"); if a character vector of length 1, the label is repeated four times.
title	an overall title for the entire display. If NULL (the default), the title will be "Seasonal Trend Analysis".
tk_title	provides an alternative window name to Tk's wm title. If NULL, stl will be used.
color	points colour of all time series. If NULL (the default) color will be l_getOption("foreground").
size	points size of all time series. Default value is 1.
lcolor	line colour of all time series. If NULL (the default) lcolor will be l_getOption("foreground").
linewidth	line width of all time series (incl. original and decomposed components. Default is 1.
linkingGroup	name of linking group. If NULL, one is created from the data name and class associated with stlOrDecomposedTS.
showScales	a logical as to whether to display the scales on all axes, default is TRUE.
showGuides	a logical as to whether to display background guide lines on all plots, default is TRUE.
showLabels	a logical as to whether to display axes labels on all plots, default is TRUE.
...	keyword value pairs passed off to l_plot() which constructs each loon scatterplot component.

Value

A structure of class "l_ts" containing four loon plots each representing a part of the decomposition by name: "original", "trend", "seasonal", and "remainder".

See also

Other two-dimensional plotting functions: l_plot.default, l_plot.density, l_plot.stl, l_plot

Other time series decomposition plotting functions: l_plot.stl, l_plot_ts

Examples

decompose <- decompose(co2)
p <- l_plot(decompose, title = "Atmospheric carbon dioxide over Mauna Loa")
# names of plots in the display
names(p)
#> [1] "original"  "trend"     "seasonal"  "remainder"
# names of states associated with the seasonality plot
names(p$seasonal)
#>  [1] "glyph"            "itemLabel"        "showItemLabels"   "linkingGroup"    
#>  [5] "linkingKey"       "zoomX"            "zoomY"            "panX"            
#>  [9] "panY"             "deltaX"           "deltaY"           "xlabel"          
#> [13] "ylabel"           "title"            "showLabels"       "showScales"      
#> [17] "swapAxes"         "showGuides"       "background"       "foreground"      
#> [21] "guidesBackground" "guidelines"       "minimumMargins"   "labelMargins"    
#> [25] "scalesMargins"    "x"                "y"                "xTemp"           
#> [29] "yTemp"            "color"            "selected"         "active"          
#> [33] "size"             "tag"              "useLoonInspector" "selectBy"        
#> [37] "selectionLogic"  
# which can be set
p$seasonal['color'] <- "steelblue"