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#' @rdname chart.ACF
#' @export
chart.ACFplus <- function(R, maxlag = NULL, elementcolor = "gray", main = NULL, ...)
{ # @author David Stoffer and Robert Shumway
# @modifiedby Peter Carl
# DESCRIPTION:
# From the website: http://www.stat.pitt.edu/stoffer/tsa2/Rcode/acf2.R
# "...here's an R function that will plot the ACF and PACF of a time series
# at the same time on the SAME SCALE, and it leaves out the zero lag in the
# ACF: acf2.R. If your time series is in x and you want the ACF and PACF of
# x to lag 50, the call to the function is acf2(x,50). The number of lags
# is optional, so acf2(x) will use a default number of lags [ \sqrt n + 10, where
# n is the number of observations]."
R = checkData(R)
data = checkData(R[,1, drop=FALSE], rm.na=TRUE, method="vector")
columns = ncol(R)
rows = nrow(R)
columnnames = colnames(R)
if(is.null(main))
main = columnnames[1]
num = length(data)
if (is.null(maxlag))
maxlag = ceiling(10 + sqrt(num))
ACF = acf(data, maxlag, plot = FALSE)$acf[-1]
PACF = t(as.matrix(pacf(data, maxlag, plot = FALSE)$acf))
Lag = 1:length(ACF)/frequency(data)
minA = min(ACF)
minP = min(PACF)
U = 2/sqrt(num)
L = -U
minu = min(minA, minP, L) - .01
op <- par(no.readonly=TRUE)
layout(rbind(1,2))
# par(mfrow = c(2,1), mar = c(3,3,2,0.8), oma = c(1,1.2,1,1), mgp = c(1.5,0.6,0))
# mar: a numerical vector of the form c(bottom, left, top, right) which
# gives the number of lines of margin to be specified on the four sides
# of the plot. The default is c(5, 4, 4, 2) + 0.1
# ACF chart
par(mar=c(0.5,4,4,2) + 0.1)
barplot(ACF, ylim = c(minu,1), main = main, axes = FALSE, ylab="acf", ...)
box(col=elementcolor)
axis(2, col = elementcolor, cex.axis = 0.8)
abline(h=c(0,L,U), lty=c(1,2,2), col=c(1,4,4))
# PACF chart
par(mar=c(4,4,0.5,2)+ 0.1)
barplot(PACF, ylim = c(minu,1), axes = FALSE, ylab="pacf", ...)
box(col=elementcolor)
axis(1, col = elementcolor, cex.axis = 0.8, xlab="lag")
axis(2, col = elementcolor, cex.axis = 0.8)
abline(h=c(0,L,U), lty=c(1,2,2), col=c(1,4,4))
par(op)
# return(cbind(ACF, PACF))
}
###############################################################################
# R (http://r-project.org/) Econometrics for Performance and Risk Analysis
#
# Copyright (c) 2004-2020 Peter Carl and Brian G. Peterson
#
# This R package is distributed under the terms of the GNU Public License (GPL)
# for full details see the file COPYING
#
# $Id$
#
###############################################################################
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