plot: Plot methods for objects in vars
In vars: VAR Modelling

plot	R Documentation

Plot methods for objects in vars

Description

Plot method for objects with class attribute varest, vec2var, varcheck, varfevd, varirf, varprd, varstabil.

Usage

## S3 method for class 'varcheck'
plot(x, names = NULL, main.resid = NULL, main.hist =
NULL, main.acf = NULL, main.pacf = NULL, main.acf2 = NULL, main.pacf2 =
NULL, ylim.resid = NULL, ylim.hist = NULL, ylab.resid = NULL, xlab.resid
= NULL, xlab.acf = NULL, lty.resid = NULL, lwd.resid = NULL, col.resid =
NULL, col.edf = NULL, lag.acf = NULL, lag.pacf = NULL, lag.acf2 = NULL,
lag.pacf2 = NULL, mar = par("mar"), oma = par("oma"), ...)
## S3 method for class 'varest'
plot(x, names = NULL, main.fit = NULL, main.acf = NULL,
main.pacf = NULL, ylim.fit = NULL, ylim.resid = NULL, lty.fit = NULL,
lty.resid = NULL, lwd.fit = NULL, lwd.resid = NULL, lag.acf = NULL,
lag.pacf = NULL, col.fit = NULL, col.resid = NULL, ylab.fit = NULL,
ylab.resid = NULL, ylab.acf = NULL, ylab.pacf = NULL, xlab.fit = NULL,
xlab.resid = NULL, nc, mar = par("mar"), oma = par("oma"), adj.mtext =
NA, padj.mtext = NA, col.mtext = NA, ...)
## S3 method for class 'vec2var'
plot(x, ...)
## S3 method for class 'varfevd'
plot(x, plot.type = c("multiple", "single"),
names = NULL, main = NULL, col = NULL, ylim = NULL, ylab = NULL,
xlab = NULL, legend = NULL, names.arg = NULL, nc,
mar = par("mar"), oma = par("oma"), addbars = 1, ...)
## S3 method for class 'varirf'
plot(x, plot.type = c("multiple", "single"), names =
NULL, main = NULL, sub = NULL, lty = NULL, lwd = NULL, col = NULL, ylim
= NULL, ylab = NULL, xlab = NULL, nc, mar.multi = c(0, 4, 0, 4),
oma.multi = c(6, 4, 6, 4), adj.mtext = NA, padj.mtext = NA, col.mtext =
NA, ...)  
## S3 method for class 'varprd'
plot(x, plot.type = c("multiple", "single"),
names = NULL, main = NULL, col = NULL, lty = NULL, lwd = NULL,
ylim = NULL, ylab = NULL, xlab = NULL, nc, mar = par("mar"),
oma = par("oma"), ...)
## S3 method for class 'varstabil'
plot(x, plot.type = c("multiple", "single"), names =
NULL, main = NULL, nc, mar = par("mar"), oma = par("oma"), ...)

Arguments

`addbars`	Integer, number of empty bars in barplot to reserve space for legend. If set to zero, no legend will be returned.
`adj.mtext`	Adjustment for `mtext()`, only applicable if `plot.type = "multiple"`.
`col`	Character vector, colors to use in plot.
`col.edf`	Character, color of residuals' EDF.
`col.fit`	Character vector, colors for diagram of fit.
`col.mtext`	Character, color for `mtext()`, only applicable if `plot.type = "multiple"`.
`col.resid`	Character vector, colors for residual plot.
`lag.acf`	Integer, lag.max for ACF of residuals.
`lag.acf2`	Integer, lag.max for ACF of squared residuals.
`lag.pacf`	Integer, lag.max for PACF of residuals.
`lag.pacf2`	Integer, lag.max for PACF of squared residuals.
`legend`	Character vector of names in legend.
`lty`	Integer/Character, the line types.
`lty.fit`	Vector, lty for diagram of fit.
`lty.resid`	Vector, lty for residual plot.
`lwd`	The width of the lines.
`lwd.fit`	Vector, lwd for diagram of fit.
`lwd.resid`	Vector, lwd for residual plot.
`main`	Character vector, the titles of the plot.
`main.acf`	Character vector, main for residuals' ACF.
`main.acf2`	Character vector, main for squared residuals' ACF.
`main.fit`	Character vector, main for diagram of fit.
`main.hist`	Character vector, main for histogram of residuals.
`main.pacf`	Character vector, main for residuals' PACF.
`main.pacf2`	Character vector, main for squared residuals' PACF.
`main.resid`	Character vector, main for residual plot.
`mar`	Setting of margins.
`mar.multi`	Setting of margins, if `plot.type = "multiple"`.
`names`	Character vector, the variables names to be plotted. If left `NULL`, all variables are plotted.
`names.arg`	Character vector, names for x-axis of barplot.
`nc`	Integer, number of columns for multiple plot.
`oma`	Setting of outer margins.
`oma.multi`	Setting of margins, if `plot.type = "multiple"`.
`padj.mtext`	Adjustment for `mtext()`, only applicable if `plot.type = "multiple"`.
`plot.type`	Character, if `multiple` all plots are drawn in a single device, otherwise the plots are shown consecutively.
`sub`	Character, sub title in plot.
`x`	An object of one of the above classes.
`xlab`	Character vector signifying the labels for the x-axis.
`xlab.acf`	Character, xlab for ACF and PACF of residuals and their squares in plot.varcheck.
`xlab.fit`	Character vector, xlab for diagram of fit.
`xlab.resid`	Character vector, xlab for residual plot.
`ylab`	Character vector signifying the labels for the y-axis.
`ylab.acf`	Character, ylab for ACF.
`ylab.fit`	Character vector, ylab for diagram of fit.
`ylab.pacf`	Character, ylab for PACF
`ylab.resid`	Character vector, ylab for residual plot.
`ylim`	Vector, the limits of the y-axis.
`ylim.fit`	Vector, ylim for diagram of fit.
`ylim.hist`	Vector, ylim for histogram of residuals.
`ylim.resid`	Vector, ylim for residual plot.
`...`	Passed to internal plot function.

Details

The plot-method for objects with class attribute vec2var is the same as for objects with class attribute varest. Hence, the same arguments can be utilised.

Author(s)

Bernhard Pfaff

References

Hamilton, J. (1994), Time Series Analysis, Princeton University Press, Princeton.

Lütkepohl, H. (2006), New Introduction to Multiple Time Series Analysis, Springer, New York.

Zeileis, A., F. Leisch, K. Hornik and C. Kleiber (2002), strucchange: An R Package for Testing for Structural Change in Linear Regression Models, Journal of Statistical Software, 7(2): 1-38, https://www.jstatsoft.org/v07/i02/

Examples

## Not run: 
data(Canada)
var.2c <- VAR(Canada, p = 2, type = "const")
plot(var.2c)
## Diagnostic Testing
## ARCH test
archtest <- arch.test(var.2c)
plot(archtest)
## Normality test
normalitytest <- normality.test(var.2c)
plot(normalitytest)
## serial correlation test
serialtest <- serial.test(var.2c)
plot(serialtest)
## FEVD
var.2c.fevd <- fevd(var.2c, n.ahead = 5)
plot(var.2c.fevd)
## IRF
var.2c.irf <- irf(var.2c, impulse = "e",
response = c("prod", "rw", "U"), boot = FALSE)
plot(var.2c.irf)
## Prediction
var.2c.prd <- predict(var.2c, n.ahead = 8, ci = 0.95)
plot(var.2c.prd)
## Stability
var.2c.stabil <- stability(var.2c, type = "Rec-CUSUM")
plot(var.2c.stabil)

## End(Not run)

vars documentation built on June 24, 2024, 9:08 a.m.