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
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
|
> # test.fac.R: test factor plotting in plotmo. This also tests swapxy, xflip, and yflip
> # Stephen Milborrow, Berea Mar 2011
>
> source("test.prolog.R")
> library(plotmo)
Loading required package: Formula
Loading required package: plotrix
> library(earth)
> library(rpart)
> data(ozone1)
> data(etitanic)
>
> cat("==test plotmo with factors==\n")
==test plotmo with factors==
> test.fac.with.rpart <- function(ngrid2=20)
+ {
+ et <- etitanic
+
+ col.response <- as.numeric(et$sex)+2
+ et$pclass.fac <- et$pclass
+ et$parch.int <- et$parch
+ parch.fac <- et$parch
+ parch.fac[parch.fac >= 3] <- 3
+ # use non alphabetically sorted factor levels
+ et$parch.fac <- factor(parch.fac, labels=c( "levz", "lev1", "lev2", "levf"))
+ et$pclass.num <- as.numeric(et$pclass)
+ et$pclass <- et$sex <- et$age <- et$sibsp <- et$parch <- NULL
+ cat("names(et):", names(et), "\n") # survived pclass.fac parch.int parch.fac pclass.num
+
+ old.par <- par(no.readonly=TRUE)
+ on.exit(par(old.par))
+ par(mfrow=c(4,5))
+ par(mar = c(2, 2, 3, 0.5), cex=.6)
+
+ # numeric x numeric
+ a2 <- rpart(survived ~ pclass.num+parch.int, data=et)
+ set.seed(145)
+ plotmo(a2, do.par=F, type2="im", degree1=2,
+ col.response=col.response, pt.cex=.3)
+ set.seed(145)
+ plotmo(a2, do.par=F, type2="con", degree1=NA,
+ col.response=col.response, pt.cex=.3)
+ set.seed(145)
+ plotmo(a2, do.par=F, type2="persp", degree1=NA,
+ ngrid2=40, persp.theta=NA, persp.ticktype="d", cex.lab=.8, persp.ntick=2)
+
+ # factor x numeric
+ a3 <- rpart(survived ~ pclass.fac+parch.int, data=et)
+ set.seed(145)
+ plotmo(a3, do.par=F, type2="im",
+ col.response=col.response, pt.cex=.3)
+ set.seed(145)
+ plotmo(a3, do.par=F, type2="con", degree1=NA,
+ col.response=col.response, pt.cex=.3)
+
+ set.seed(145)
+ plotmo(a3, do.par=F, type2="persp", degree1=NA,
+ ngrid2=40, persp.theta=NA, persp.ticktype="d", persp.border=NA, cex.lab=.8, persp.ntick=2)
+
+ # numeric x factor
+ a4 <- rpart(survived ~ pclass.num+parch.fac, data=et)
+ set.seed(145)
+ plotmo(a4, do.par=F, type2="im", tra=1,
+ col.response=col.response, pt.cex=.3)
+ set.seed(145)
+ plotmo(a4, do.par=F, type2="con", degree1=NA,
+ col.response=col.response, pt.cex=.3)
+ set.seed(145)
+ plotmo(a4, do.par=F, type2="persp", degree1=NA,
+ ngrid2=40, persp.theta=NA, persp.ticktype="d", persp.border=NA, cex.lab=.8, persp.ntick=2)
+
+ # factor x factor
+ a5 <- rpart(survived ~ pclass.fac+parch.fac, data=et)
+ set.seed(145)
+ plotmo(a5, do.par=F, type2="im", nrug=TRUE,
+ col.response=col.response, pt.cex=.3)
+ set.seed(145)
+ plotmo(a5, do.par=F, type2="con", degree1=NA,
+ col.response=col.response, pt.cex=.3)
+ set.seed(145)
+ plotmo(a5, do.par=F, type2="persp", degree1=NA,
+ ngrid2=40, persp.theta=NA, persp.ticktype="d", persp.border=NA, cex.lab=.8, persp.ntick=2)
+
+ # test ndiscrete
+ par(mfrow=c(3,5))
+ par(mar = c(2, 2, 3, 0.5), cex=.6)
+
+ plotmo(a2, do.par=F, type2="persp", degree1=2, ndiscrete=0, main="ndiscrete=0",
+ persp.theta=NA, persp.ticktype="d", persp.ntick=2,
+ col.response=col.response, pt.cex=.3)
+ plotmo(a2, do.par=F, type2="im", degree1=NA, ndiscrete=0)
+ plotmo(a2, do.par=F, type2="con", degree1=NA, ndiscrete=0)
+ plotmo(a2, do.par=F, type2="persp", degree1=2, degree2=NA, ndiscrete=0, main="center", center=TRUE,
+ col.response=col.response, pt.cex=.3)
+
+ plotmo(a2, do.par=F, type2="persp", degree1=2, ndiscrete=3, main="ndiscrete=3",
+ persp.theta=NA, persp.ticktype="d", persp.ntick=2,
+ col.response=col.response, pt.cex=.3)
+ plotmo(a2, do.par=F, type2="im", degree1=NA, ndiscrete=3)
+ plotmo(a2, do.par=F, type2="con", degree1=NA, ndiscrete=3)
+ plotmo(a2, do.par=F, type2="persp", degree1=2, degree2=NA, ndiscrete=3, main="center", center=TRUE,
+ col.response=col.response, pt.cex=.3)
+
+ plotmo(a2, do.par=F, type2="persp", degree1=2, ndiscrete=10, main="ndiscrete=10",
+ persp.theta=NA, persp.ticktype="d", persp.ntick=2,
+ col.response=col.response, pt.cex=.3)
+ plotmo(a2, do.par=F, type2="im", degree1=NA, ndiscrete=10)
+ plotmo(a2, do.par=F, type2="con", degree1=NA, ndiscrete=10)
+ plotmo(a2, do.par=F, type2="persp", degree1=2, degree2=NA, ndiscrete=10, main="center", center=TRUE,
+ col.response=col.response, pt.cex=.3)
+ }
> test.fac.with.rpart()
names(et): survived pclass.fac parch.int parch.fac pclass.num
plotmo grid: pclass.num parch.int
2 0
plotmo grid: pclass.fac parch.int
3rd 0
stats::predict(rpart.object, data.frame[3,2], type="vector")
stats::fitted(object=rpart.object)
fitted() was unsuccessful, will use predict() instead
got model response from model.frame(survived ~ pclass.num + parch.fac,
data=call$data, na.action="na.pass")
plotmo grid: pclass.num parch.fac
2 levz
plotmo grid: pclass.fac parch.fac
3rd levz
plotmo grid: pclass.num parch.int
2 0
Warning: forcing clip=FALSE because center=TRUE (a limitation of the current implementation)
plotmo grid: pclass.num parch.int
2 0
plotmo grid: pclass.num parch.int
2 0
Warning: forcing clip=FALSE because center=TRUE (a limitation of the current implementation)
plotmo grid: pclass.num parch.int
2 0
plotmo grid: pclass.num parch.int
2 0
Warning: forcing clip=FALSE because center=TRUE (a limitation of the current implementation)
plotmo grid: pclass.num parch.int
2 0
> cat("==test plotmo swapxy with factors==\n")
==test plotmo swapxy with factors==
> test.swapxy.with.rpart <- function(ngrid2=20)
+ {
+ et <- etitanic[c(1:50,300:350,600:650),]
+
+ col.response <- as.numeric(et$sex)+2
+ et$pclass.fac <- et$pclass
+ et$parch.int <- et$parch
+ parch.fac <- et$parch
+ parch.fac[parch.fac > 2] <- 2
+ # use non alphabetically sorted factor levels
+ et$parch.fac <- factor(parch.fac, labels=c("lev.zero", "lev.one", "lev.two.or.more"))
+ print(et$parch.fac)
+ et$pclass.num <- as.numeric(et$pclass)
+ et$pclass <- et$sex <- et$age <- et$sibsp <- et$parch <- NULL
+ cat("names(et):", names(et), "\n") # survived pclass.fac parch.int parch.fac pclass.num
+
+ old.par <- par(no.readonly=TRUE)
+ on.exit(par(old.par))
+ par(mfrow=c(4,4))
+ par(mar = c(2, 3, 5, 0.5), cex=.6)
+
+ # factor x factor
+ a5 <- rpart(survived ~ pclass.fac+parch.fac, data=et)
+ for(swapxy in c(F,T)) {
+ for(xflip in c(F,T))
+ for(yflip in c(F,T)) {
+ set.seed(145)
+ plotmo(a5, do.par=F, type2="im", degree1=NA,
+ swapxy=swapxy, xflip=xflip, yflip=yflip,
+ main=paste("swapxy=", swapxy, "\nxflip=", xflip, "\nyflip=", yflip),
+ col.response=col.response, pt.cex=3,
+ pt.pch=".")
+ set.seed(145)
+ plotmo(a5, do.par=F, type2="con", degree1=NA,
+ swapxy=swapxy, xflip=xflip, yflip=yflip,
+ main=paste("swapxy=", swapxy, "\nxflip=", xflip, "\nyflip=", yflip),
+ col.response=col.response, pt.cex=.3)
+ }
+ }
+ par(mfrow=c(2,2))
+ set.seed(146)
+ plotmo(a5, do.par=F, type2="persp", degree1=NA,
+ swapxy=FALSE, main=paste("swapxy=", FALSE),
+ ngrid2=40, persp.theta=145, persp.ticktype="d", cex.lab=.8, persp.ntick=5)
+ set.seed(146)
+ plotmo(a5, do.par=F, type2="persp", degree1=NA,
+ swapxy=TRUE, main=paste("swapxy=", TRUE),
+ ngrid2=40, persp.theta=145, persp.ticktype="d", cex.lab=.8, persp.ntick=5)
+ set.seed(146)
+ plotmo(a5, do.par=F, type2="im", degree1=2,
+ swapxy=FALSE, main=paste("swapxy=", FALSE))
+ }
> test.swapxy.with.rpart()
[1] lev.zero lev.two.or.more lev.two.or.more lev.two.or.more
[5] lev.two.or.more lev.zero lev.zero lev.zero
[9] lev.zero lev.zero lev.zero lev.zero
[13] lev.zero lev.zero lev.zero lev.one
[17] lev.one lev.zero lev.zero lev.one
[21] lev.one lev.zero lev.zero lev.zero
[25] lev.zero lev.zero lev.zero lev.zero
[29] lev.zero lev.zero lev.zero lev.zero
[33] lev.zero lev.zero lev.zero lev.one
[37] lev.zero lev.zero lev.zero lev.zero
[41] lev.zero lev.zero lev.zero lev.zero
[45] lev.zero lev.one lev.one lev.zero
[49] lev.zero lev.zero lev.zero lev.one
[53] lev.one lev.one lev.two.or.more lev.zero
[57] lev.zero lev.zero lev.zero lev.zero
[61] lev.zero lev.zero lev.two.or.more lev.one
[65] lev.one lev.zero lev.zero lev.zero
[69] lev.zero lev.zero lev.zero lev.two.or.more
[73] lev.one lev.one lev.zero lev.zero
[77] lev.zero lev.zero lev.zero lev.zero
[81] lev.zero lev.one lev.two.or.more lev.zero
[85] lev.zero lev.zero lev.zero lev.zero
[89] lev.two.or.more lev.one lev.one lev.zero
[93] lev.zero lev.zero lev.one lev.zero
[97] lev.two.or.more lev.zero lev.zero lev.zero
[101] lev.zero lev.zero lev.zero lev.zero
[105] lev.one lev.one lev.one lev.two.or.more
[109] lev.zero lev.zero lev.zero lev.zero
[113] lev.one lev.one lev.zero lev.zero
[117] lev.zero lev.zero lev.zero lev.zero
[121] lev.zero lev.zero lev.zero lev.zero
[125] lev.one lev.one lev.one lev.one
[129] lev.zero lev.zero lev.zero lev.zero
[133] lev.zero lev.zero lev.zero lev.zero
[137] lev.zero lev.zero lev.zero lev.zero
[141] lev.zero lev.zero lev.zero lev.zero
[145] lev.zero lev.zero lev.zero lev.zero
[149] lev.zero lev.zero lev.zero lev.zero
Levels: lev.zero lev.one lev.two.or.more
names(et): survived pclass.fac parch.int parch.fac pclass.num
plotmo grid: pclass.fac parch.fac
2nd lev.zero
>
> aflip <- earth(O3~vh + wind + humidity + temp, data=ozone1, degree=2)
> col.response<- ifelse(ozone1$O3 == 38, "red", "pink")
>
> # test xflip arg, degree1 plots
> par(mfrow=c(2,2))
> set.seed(102)
> plotmo(aflip, degree1=1:2, degree2=0, do.par=F, col.response=col.response, nrug=-1, ylab="O3", smooth.col="gray")
plotmo grid: vh wind humidity temp
5760 5 64 62
> plotmo(aflip, degree1=1:2, degree2=F, do.par=F, col.response=col.response, nrug=-1, ylab="O3", xflip=T, main="xflip=TRUE, degree1 plots", , smooth.col="gray")
plotmo grid: vh wind humidity temp
5760 5 64 62
>
> col.response<- ifelse(ozone1$O3 == 1, "green", "pink")
>
> # test flip args, type2=persp
> par(mfrow=c(2,2))
> plotmo(aflip, degree1=0, degree2=2, do.par=F, persp.ticktype="d")
> plotmo(aflip, degree1=0, degree2=2, do.par=F, persp.tickt="d", swapxy=T, main="swapxy=TRUE")
> plot(0, 0, type="n", axes=FALSE, xlab="", ylab="")
> plot(0, 0, type="n", axes=FALSE, xlab="", ylab="")
>
> # test swapxy args, type2=image
> par(mfrow=c(3,3))
>
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="im", col.response=col.response, main="test swapxy on image plots\nreference plot")
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="im", col.response=col.response, swapxy=T, main="swapxy=T")
> plot(0, 0, type="n", axes=FALSE, xlab="", ylab="")
>
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="im", col.response=col.response, xflip=T, main="xflip=T")
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="im", col.response=col.response, yflip=T, main="yflip=T")
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="im", col.response=col.response, xflip=T, yflip=T, main="xflip=T, yflip=T")
>
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="im", col.response=col.response, swapxy=T, xflip=T, main="swapxy=T, xflip=T")
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="im", col.response=col.response, swapxy=T, yflip=T, main="swapxy=T, yflip=T")
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="im", col.response=col.response, swapxy=T, xflip=T, yflip=T, main="swapxy=T, xflip=T, yflip=T")
>
> # test flip args, type2=contour
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="con", col.response=col.response, main="test flip on contour plots\nreference plot")
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="con", col.response=col.response, swapxy=T)
> plot(0, 0, type="n", axes=FALSE, xlab="", ylab="")
>
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="con", col.response=col.response, xflip=T)
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="con", col.response=col.response, yflip=T)
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="con", col.response=col.response, xflip=T, yflip=T)
>
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="con", col.response=col.response, swapxy=T, xflip=T)
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="con", col.response=col.response, swapxy=T, yflip=T)
> plotmo(aflip, degree1=0, degree2=2, do.par=F, type2="con", col.response=col.response, swapxy=T, xflip=T, yflip=T)
>
> # ordered factor
>
> cat("==test plotmo with ordered factor==\n")
==test plotmo with ordered factor==
> par(mfcol=c(2,2))
> par(mar=c(3, 3, 3, 1))
> par(mgp=c(1.5, .5, 0))
> a <- lm(height~., data=Loblolly)
> termplot(a, partial.resid=T, rug=T, terms=2, main="Seed is an ordered factor") # compare to termplot
> plotmo(a, do.par=F, col.resp="gray", nrug=T, all2=T)
plotmo grid: age Seed
12.5 329
>
> #---------------------------------------------------------------------------
> # test ndiscrete with integer and non integer predictors, with missing values
>
> par(mfcol=c(2,4))
> par(mar=c(3, 3, 3, 1))
> par(mgp=c(1.5, .5, 0))
> et <- etitanic
> et$var <- et$parch
> et$var[et$var==1] <- 0 # want a "hole" in var's value, for testing
> et$var[1:3] <- 6
> cat("table(et$var):")
table(et$var):> print(table(et$var))
0 2 3 4 5 6
927 95 8 5 6 5
> cat("\n")
> a <- earth(survived~var+age, data=et, degree=2, pm="none")
>
> plotmo(a, trace=FALSE, ndiscrete=0,
+ main="integral var\n(var levels are 0 2 3 4 5 6)\nndiscrete=0", cex.lab=.8,
+ do.par=F, smooth.col="indianred", persp.ticktype="d", clip=F, degree1=0, persp.theta=40)
>
> plotmo(a, ndiscrete=0,
+ do.par=F, smooth.col="indianred", ylim=c(-.5,1), degree2=0, degree1=1)
plotmo grid: var age
0 28
>
> #------------
> plotmo(a, ndiscrete=10, main="integral var\nndiscrete=10", cex.lab=.8,
+ do.par=F, smooth.col="indianred", persp.ticktype="d", clip=F, degree1=0, persp.theta=40)
>
> plotmo(a, trace=0, ndiscrete=10,
+ do.par=F, smooth.col="indianred", ylim=c(-.5,1), degree2=0, degree1=1)
plotmo grid: var age
0 28
>
> #------------
> et$var <- et$var / 2
> cat("table(et$var):")
table(et$var):> print(table(et$var))
0 1 1.5 2 2.5 3
927 95 8 5 6 5
> cat("\n")
> a <- earth(survived~var+age, data=et, degree=2, pm="none")
>
> plotmo(a, ndiscrete=0,
+ main="integral var\n(var levels are 0 1 1.5 2 2.5 3)\nndiscrete=0", cex.lab=.8,
+ do.par=F, smooth.col="indianred", persp.ticktype="d", clip=F, degree1=0, persp.theta=40)
>
> plotmo(a, ndiscrete=0,
+ do.par=F, smooth.col="indianred", ylim=c(-.5,1), degree2=0, degree1=1)
plotmo grid: var age
0 28
>
> #------------
> plotmo(a, ndiscrete=10, main="non integral var\nndiscrete=10", cex.lab=.8,
+ do.par=F, smooth.col="indianred", persp.ticktype="d", clip=F, degree1=0, persp.theta=40)
>
> plotmo(a, ndiscrete=10,
+ do.par=F, smooth.col="indianred", ylim=c(-.5,1), degree2=0, degree1=1)
plotmo grid: var age
0 28
>
> source("test.epilog.R")
|
