1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
|
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Library General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Library General Public License for more details.
#
# You should have received a copy of the GNU Library General
# Public License along with this library; if not, write to the
# Free Foundation, Inc., 59 Temple Place, Suite 330, Boston,
# MA 02111-1307 USA
################################################################################
# S3-METHODS: PLOT METHOD:
# plot.fREG Plots fit and diagnostics for a regression model
# .plot.lm Linear Regression Model internal plot
# .plot.rlm Robust Linear Regression Model internal plot
# .plot.glm Generalized Linear Model internal plot
# .plot.gam Generalized Additive Model internal plot
# .plot.nnet Feedforward Neural Network Model internal plot
# .plot.ppr Projection Pursuit Regression Model internal plot
# .plot.polymars Polychotomous MARS Model internal plot
# PLOTS: DESCRIPTION:
# .interactiveRegPlot
# .multRegPlot
################################################################################
setMethod(f = "plot", signature(x = "fREG", y = "missing"), definition =
function(x, which = "ask", ...)
{
# A function implemented by Diethelm Wuertz
# Description:
# Plot method for an object of class 'fGARCH'
# Note:
# This method can also be used for plotting graphs fitted by
# the function 'garch' from the contributed R package 'tseries'.
# FUNCTION:
# Plot:
.plot(x@fit, which = which, ...)
# Return Value:
invisible(x)
})
# ------------------------------------------------------------------------------
.plot.common <-
function(x, which = "ask", ...)
{
# A function implemented by Diethelm Wuertz
# Notes:
# 1. Responses + Fitted Values Plot:
# 2. Residuals Plot:
# 3. Quantile Plot:
# 4. Fitted Values vs. Residuals Plot:
# FUNCTION:
# Plot:
.interactiveRegPlot(
x,
choices = c(
"Responses + Fitted Values",
"Residuals",
"Normal Q-Q",
"Residuals vs Fitted",
"ACF of Residuals",
"PACF of Residuals",
"Positive Mean Excess Plot",
"Negative Mean Excess Plot"),
plotFUN = paste(".plot.", 1:8, sep = ""),
which = which)
# Return Value:
invisible(x)
}
# ------------------------------------------------------------------------------
.plot.1 <- function(x, ...) .responsesPlot(residuals(x)+fitted(x),fitted(x))
.plot.2 <- function(x, ...) .residualsPlot(residuals(x))
.plot.3 <- function(x, ...) qqnormPlot(residuals(x))
.plot.4 <- function(x, ...) .firePlot(fitted(x), residuals(x))
.plot.5 <- function(x, ...) .acfPlot(residuals(x))
.plot.6 <- function(x, ...) .pacfPlot(residuals(x))
.plot.7 <- function(x, ...) .mrlPlot(residuals(x))
.plot.8 <- function(x, ...) .mrlPlot(-residuals(x))
# ------------------------------------------------------------------------------
.plot.lm <- function(...) .plot.common(...)
.plot.rlm <- function(...) .plot.common(...)
.plot.glm <- function(...) .plot.common(...)
.plot.gam <- function(...) .plot.common(...)
.plot.ppr <- function(...) .plot.common(...)
.plot.nnet <- function(...) .plot.common(...)
.plot.polymars <- function(...) .plot.common(...)
# ------------------------------------------------------------------------------
.interactiveRegPlot <-
function(x, choices = paste("Plot", 1:19),
plotFUN = paste("plot.", 1:19, sep = ""), which = "all", ...)
{
# A function implemented by Diethelm Wuertz
# Description:
# Interactive plot method.
# Arguments:
# x - an object to be plotted
# choices - the character string for the choice menu
# plotFUN - the names of the plot functions
# which - plot selection, which graph should be
# displayed. If a character string named "ask" the
# user is interactively asked which to plot, if
# a logical vector of length N, those plots which
# are set "TRUE" are displayed, if a character string
# named "all" all plots are displayed.
# Note:
# At maximum 19 plots are supported.
# FUNCTION:
# Some cecks:
if (length(choices) != length(plotFUN))
stop("Arguments choices and plotFUN must be of same length.")
if (length(which) > length(choices))
stop("Arguments which has incorrect length.")
if (length(which) > length(plotFUN))
stop("Arguments which has incorrect length.")
if (length(choices) > 19)
stop("Sorry, only 19 plots at max are supported.")
# Plot:
if (is.numeric(which)) {
Which = rep(FALSE, times = length(choices))
Which[which] = TRUE
which = Which
}
if (which[1] == "all") {
which = rep(TRUE, times = length(choices))
}
if (which[1] == "ask") {
.multRegPlot(x, choices, plotFUN = plotFUN, ...)
} else {
for ( i in 1:length(which) ) {
FUN = match.fun(plotFUN[i])
if (which[i]) FUN(x)
}
}
# Return Value:
invisible(x)
}
# ------------------------------------------------------------------------------
.multRegPlot <-
function (x, choices, plotFUN, ...)
{
# A function implemented by Diethelm Wuertz
# Description:
# Arguments:
# FUNCTION:
# Match Functions, up to nine(teen) ...
if (length(plotFUN) < 19) plotFUN =
c(plotFUN, rep(plotFUN[1], times = 19 - length(plotFUN)))
plot.1 = match.fun(plotFUN[1]); plot.2 = match.fun(plotFUN[2])
plot.3 = match.fun(plotFUN[3]); plot.4 = match.fun(plotFUN[4])
plot.5 = match.fun(plotFUN[5]); plot.6 = match.fun(plotFUN[6])
plot.7 = match.fun(plotFUN[7]); plot.8 = match.fun(plotFUN[8])
plot.9 = match.fun(plotFUN[9]); plot.10 = match.fun(plotFUN[10])
plot.11 = match.fun(plotFUN[11]); plot.12 = match.fun(plotFUN[12])
plot.13 = match.fun(plotFUN[13]); plot.14 = match.fun(plotFUN[14])
plot.15 = match.fun(plotFUN[15]); plot.16 = match.fun(plotFUN[16])
plot.17 = match.fun(plotFUN[17]); plot.18 = match.fun(plotFUN[18])
plot.19 = match.fun(plotFUN[19])
pick = 1
while (pick > 0) {
pick = menu (
### choices = paste("plot:", choices),
choices = paste(" ", choices),
title = "\nMake a plot selection (or 0 to exit):")
# up to 19 plot functions ...
switch (pick,
plot.1(x), plot.2(x), plot.3(x), plot.4(x), plot.5(x),
plot.6(x), plot.7(x), plot.8(x), plot.9(x), plot.10(x),
plot.11(x), plot.12(x), plot.13(x), plot.14(x), plot.15(x),
plot.16(x), plot.17(x), plot.18(x), plot.19(x))
}
}
################################################################################
|
