Draws a plot of a given inzightts
(inz_ts
) object with the trend
superimposed.
Usage
# S3 method for class 'inz_ts'
plot(
x,
var = NULL,
xlab = NULL,
ylab = NULL,
title = NULL,
xlim = NULL,
aspect = NULL,
compare = TRUE,
pal = NULL,
smoother = TRUE,
sm_model = "stl",
t = 0,
mult_fit = FALSE,
emphasise = NULL,
non_emph_opacity = 0.2,
show_iso_obs = TRUE,
iso_obs_size = 1,
seasonal_adjustment = FALSE,
...
)
Arguments
- x
An
inzightts
(inz_ts
) object representing the time series.- var
A character vector specifying the variable(s) to be plotted, or set to
NULL
.- xlab
A title for the x-axis of the plot.
- ylab
A title for the y-axis of the plot.
- title
A title for the graph.
- xlim
Axis limits, specified as dates or years.
- aspect
The aspect ratio of the plot; it will be about
aspect
times wider than it is high.- compare
Logical; set to
TRUE
to plot the key levels in a single plot.- pal
(Only if a categorical variable is passed to
var
): The colour palette for the categorical plot. The palette vector should be in the same order per the rows oftsibble::key_data(x)
.- smoother
Logical; if
TRUE
, the smoother will be drawn.- sm_model
The smoothing method to be used.
- t
The smoothing parameter (between 0 and 100).
- mult_fit
Logical; set to
TRUE
for a multiplicative model, orFALSE
for the default additive model.- emphasise
Integer vector to specify the key level(s) to focus in the plot. The integer maps to the specific key level(s) corresponding to the ith row of
tsibble::key_data(x)
.- non_emph_opacity
Numeric. If
(0, 1]
, this argument determines the opacity of the series other than the focused one(s) (to highlight the focused series). Ifnon_emph_opacity = 0
, the plot draws the focused series in its own scales.- show_iso_obs
Logical; set to
TRUE
to plot isolated observations between time series gaps (if any).- iso_obs_size
Numeric; scaling the size of isolated observations, if
show_iso_obs = TRUE
and they exist.- seasonal_adjustment
Logical; set to
TRUE
to show the seasonally adjusted time series (i.e., removed the estimated seasonal effects as determined by STL decomoposition; seedecomp()
).- ...
Additional arguments (ignored).