-
Notifications
You must be signed in to change notification settings - Fork 1
/
expert.K.noplot.ALLNorm.just1plot.R
213 lines (145 loc) · 6.59 KB
/
expert.K.noplot.ALLNorm.just1plot.R
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
#This file is part of ElicitN.
#Copyright 2011 Rebecca Fisher and Rebecca O'Leary.
#ElicitN is free software: you can redistribute it and/or modify it under
#the terms of the GNU General Public License as published by the Free Software
#Foundation, either version 3 of the License, or any later version.
#This program 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 General Public License
#(http://www.gnu.org/licenses/) for more details.
expert.K.noplot.ALLnorm.just1plot <-function(Lhat, Uhat, Mhat, pihat, new.alpha,best.type.status, ee.type){
eval.text <- getURL("https://raw.githubusercontent.com/beckyfisher/ElicitN/master/expert.K.LN.just1plot.R", ssl.verifypeer = FALSE)
eval(parse(text = eval.text))
#source("expert.K.LN.just1plot.R")
eval.text <- getURL("https://raw.githubusercontent.com/beckyfisher/ElicitN/master/expert.K.Norm.just1plot.R", ssl.verifypeer = FALSE)
eval(parse(text = eval.text))
#source("expert.K.Norm.just1plot.R")
eval.text <- getURL("https://raw.githubusercontent.com/beckyfisher/ElicitN/master/expert.K.LNleftskew.just1plot.R", ssl.verifypeer = FALSE)
eval(parse(text = eval.text))
#source("expert.K.LNleftskew.just1plot.R")
eval.text <- getURL("https://raw.githubusercontent.com/beckyfisher/ElicitN/master/expert.K.noplot.LN.just1plot.R", ssl.verifypeer = FALSE)
eval(parse(text = eval.text))
#source("expert.K.noplot.LN.just1plot.R")
eval.text <- getURL("https://raw.githubusercontent.com/beckyfisher/ElicitN/master/expert.K.noplot.Norm.just1plot.R", ssl.verifypeer = FALSE)
eval(parse(text = eval.text))
#source("expert.K.noplot.Norm.just1plot.R")
eval.text <- getURL("https://raw.githubusercontent.com/beckyfisher/ElicitN/master/expert.K.noplot.LNleftskew.just1plot.R", ssl.verifypeer = FALSE)
eval(parse(text = eval.text))
#source("expert.K.noplot.LNleftskew.just1plot.R")
expertrange <- Uhat-Lhat
####################################################################################################################################################
#if less than 25th quartile
#IF 1
if (Mhat<=expertrange*.25+Lhat){
expert.K.LN.results <- expert.K.noplot.LN.just1plot(Lhat, Uhat, Mhat, pihat, new.alpha,best.type.status, ee.type)
#STORE RESULTS FOR OUTPUT
results <- expert.K.LN.results
which.dist <- c("LN")
####################################################################################################################################################
#if between 25th and 50th quartile
#IF 2
}else if (Mhat<=expertrange*.5+Lhat){
expert.K.LN.results <- expert.K.noplot.LN.just1plot(Lhat, Uhat, Mhat, pihat, new.alpha,best.type.status, ee.type)
expert.K.Norm.results<- expert.K.noplot.Norm.just1plot(Lhat, Uhat, Mhat, pihat, new.alpha,best.type.status, ee.type)
###
#IDENTIFY WHICH DISTRIBUTION IS BETTER
#for normal, get same value for mean,median & mode
Norm.score <- (
((abs(Lhat-expert.K.Norm.results$ss.mode.results$lower )^2)/1/2) +
((abs(Uhat-expert.K.Norm.results$ss.mode.results$upper)^2)/1/2) )
LN.score.mode <-
(((abs(Mhat-expert.K.LN.results$ss.mode.results$mode )^2)/1/3) +
((abs(Lhat-expert.K.LN.results$ss.mode.results$lower )^2)/1/3) +
((abs(Uhat-expert.K.LN.results$ss.mode.results$upper )^2)/1/3) )
######################
#IF 2A.1
# IF LOG-NORMAL IS SMALLER
#SELECT LOG-NORMAL AS BEST
if (LN.score.mode < Norm.score) {
#STORE RESULTS FOR OUTPUT
results <- expert.K.LN.results
which.dist <- c("LN")
###
#plot 1
if (expert.K.LN.results$ss.mode.results$lower <0) {
expert.K.LN.results$ss.mode.results$lower =0
}
if (expert.K.LN.results$feedback.mode.results$new.lower <0){
expert.K.LN.results$feedback.mode.results$new.lower =0
}
####################
# ELSE NORMAL IS SMALLER
#IF 2A.2
}else{
#STORE RESULTS FOR OUTPUT
results <- expert.K.Norm.results
which.dist <- c("normal")
####
#plot
if (expert.K.Norm.results$ss.mode.results$lower <0) {
expert.K.Norm.results$ss.mode.results$lower =0
}
if (expert.K.Norm.results$feedback.mode.results$new.lower <0){
expert.K.Norm.results$feedback.mode.results$new.lower =0
}
}
####################################################################################################################################################
#if greater than 50th quartile but less than 75th quartile
#IF 3
}else if (Mhat>expertrange*.5+Lhat & Mhat<expertrange*.75+Lhat){
expert.K.Norm.results<- expert.K.noplot.Norm.just1plot(Lhat, Uhat, Mhat, pihat, new.alpha,best.type.status, ee.type)
expert.K.LNleftskew.results <- expert.K.noplot.LNleftskew.just1plot(Lhat, Uhat, Mhat, pihat, new.alpha,best.type.status, ee.type)
###
#IDENTIFY WHICH DISTRIBUTION IS BETTER
#for normal, get same value for mean,median & mode
Norm.score <- (
((abs(Lhat-expert.K.Norm.results$ss.mode.results$lower )^2)/1/2) +
((abs(Uhat-expert.K.Norm.results$ss.mode.results$upper)^2)/1/2))
LNleftskew.score.mode <-
(((abs(Mhat-expert.K.LNleftskew.results$ss.mode.results$mode )^2)/1/3) +
((abs(Lhat-expert.K.LNleftskew.results$ss.mode.results$lower )^2)/1/3) +
((abs(Uhat-expert.K.LNleftskew.results$ss.mode.results$upper )^2)/1/3))
####
#if 3A.1
# IF NORMAL IS SMALLER
#SELECT NORMAL AS BEST
if (Norm.score < LNleftskew.score.mode) {
#STORE RESULTS FOR OUTPUT
results <- expert.K.Norm.results
which.dist <- c("normal")
if (expert.K.Norm.results$ss.mode.results$lower <0) {
expert.K.Norm.results$ss.mode.results$lower=0
}
if (expert.K.Norm.results$feedback.mode.results$new.lower <0){
expert.K.Norm.results$feedback.mode.results$new.lower =0
}
####################
#3A.2
# ELSE MIRROR LOG-NORMAL IS SMALLER
}else{
#STORE RESULTS FOR OUTPUT
results <- expert.K.LNleftskew.results
which.dist <- c("LNleftskew")
if (expert.K.LNleftskew.results$ss.mode.results$lower <0) {
expert.K.LNleftskew.results$ss.mode.results$lower=0
}
if (expert.K.LNleftskew.results$feedback.mode.results$new.lower<0){
expert.K.LNleftskew.results$feedback.mode.results$new.lower =0
}
}
####################################################################################################################################################
#if greater than 25th quartile
#IF 4
}else { #(Mhat>=expertrange*.75+Lhat)
expert.K.LNleftskew.results <- expert.K.noplot.LNleftskew.just1plot(Lhat, Uhat, Mhat, pihat, new.alpha,best.type.status, ee.type)
#STORE RESULTS FOR OUTPUT
results <- expert.K.LNleftskew.results
which.dist <- c("LNleftskew")
}
return(list(pihat=pihat,
ss.mode.results=results$ss.mode.results,
fit.best.mode.mu=results$fit.best.mode.mu,
fit.best.mode.sig=results$fit.best.mode.sig,
feedback.mode.results=results$feedback.mode.results,
Ksp=results$Ksp , MhatK=results$MhatK, which.dist=which.dist))
}