autoplot.varprd {ggfortify} | R Documentation |
vars::varprd
Autoplot vars::varprd
## S3 method for class 'varprd' autoplot( object, is.date = NULL, ts.connect = TRUE, scales = "free_y", predict.geom = "line", predict.colour = "#0000FF", predict.size = NULL, predict.linetype = NULL, predict.alpha = NULL, predict.fill = NULL, predict.shape = NULL, conf.int = TRUE, conf.int.colour = "#0000FF", conf.int.linetype = "none", conf.int.fill = "#000000", conf.int.alpha = 0.3, ... )
object |
|
is.date |
Logical frag indicates whether the |
ts.connect |
Logical frag indicates whether connects original time-series and predicted values |
scales |
Scale value passed to |
predict.geom |
geometric string for predicted time-series |
predict.colour |
line colour for predicted time-series |
predict.size |
point size for predicted time-series |
predict.linetype |
line type for predicted time-series |
predict.alpha |
alpha for predicted time-series |
predict.fill |
fill colour for predicted time-series |
predict.shape |
point shape for predicted time-series |
conf.int |
Logical flag indicating whether to plot confidence intervals |
conf.int.colour |
line colour for confidence intervals |
conf.int.linetype |
line type for confidence intervals |
conf.int.fill |
fill colour for confidence intervals |
conf.int.alpha |
alpha for confidence intervals |
... |
other arguments passed to |
ggplot
## Not run: data(Canada, package = 'vars') d.var <- vars::VAR(Canada, p = 3, type = 'const') autoplot(stats::predict(d.var, n.ahead = 50), is.date = TRUE) autoplot(stats::predict(d.var, n.ahead = 50), conf.int = FALSE) ## End(Not run)