Time series display
Plots a time series along with its acf and either its pacf, lagged scatterplot or spectrum.
ggtsdisplay(
x,
plot.type = c("partial", "histogram", "scatter", "spectrum"),
points = TRUE,
smooth = FALSE,
lag.max,
na.action = na.contiguous,
theme = NULL,
...
)
tsdisplay(
x,
plot.type = c("partial", "histogram", "scatter", "spectrum"),
points = TRUE,
ci.type = c("white", "ma"),
lag.max,
na.action = na.contiguous,
main = NULL,
xlab = "",
ylab = "",
pch = 1,
cex = 0.5,
...
)x |
a numeric vector or time series of class |
plot.type |
type of plot to include in lower right corner. |
points |
logical flag indicating whether to show the individual points or not in the time plot. |
smooth |
logical flag indicating whether to show a smooth loess curve superimposed on the time plot. |
lag.max |
the maximum lag to plot for the acf and pacf. A suitable value is selected by default if the argument is missing. |
na.action |
function to handle missing values in acf, pacf and spectrum
calculations. The default is |
theme |
Adds a ggplot element to each plot, typically a theme. |
... |
additional arguments to |
ci.type |
type of confidence limits for ACF that is passed to
|
main |
Main title. |
xlab |
X-axis label. |
ylab |
Y-axis label. |
pch |
Plotting character. |
cex |
Character size. |
ggtsdisplay will produce the equivalent plot using ggplot graphics.
None.
Rob J Hyndman
Hyndman and Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts: Melbourne, Australia. https://otexts.com/fpp2/
library(ggplot2) ggtsdisplay(USAccDeaths, plot.type="scatter", theme=theme_bw()) tsdisplay(diff(WWWusage)) ggtsdisplay(USAccDeaths, plot.type="scatter")
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.