File: convert_new.R

package info (click to toggle)
r-cran-randomfields 3.3.14-1
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 4,916 kB
  • sloc: cpp: 52,159; ansic: 3,015; makefile: 2; sh: 1
file content (259 lines) | stat: -rw-r--r-- 8,846 bytes parent folder | download | duplicates (2)
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

## Authors 
## Martin Schlather, schlather@math.uni-mannheim.de
##
### Diese Datei wandelt RMmodel in eine Liste um
##
## Copyright (C) 2015 -- 2016 Alexander Malinowski, Martin Schlather
##               2017 -- 2017 Martin Schlather
##
## This program 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 (at your option) 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 for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program; if not, write to the Free Software
## Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.  



reps <- function(n, sign=",") paste(rep(sign, n), collapse="")


## FUNCTION-STARP***********************************************************************************
## NAME		parseModel, isGenuineCovModel, extractSummands
## PARAM	$model - list, formula		
## AUTHOR		Sebastian Gross 
### DATE		29.08.2011
## changed by Martin Schlather 2015 -- 2017
## FUNCTION-END*************************************************************************************

parseModel <- function(model, ..., x=NULL) {
  
  ## check whether $model is already in list syntax
  if (is.list(model)) return(model)

  ## check whether $model has RMmodel syntax
  if (isRMmodel(model)) return(buildCovList(model, x=x))
  
  ## check whether $model has correct formula syntax
  if (!is(model, "formula")) stop(syntaxError)
  
  
  ## extract tokens/summands
  tmpList <- list()
  ## ignore rest of the formula
  rightSide <- tail(as.character(model), 1)
  chars <- strsplit(rightSide, "")[[1]]
 	
  ## toggles parenthesis, eg. whether we confront a toplevel plus or not
  parToggle <- 0
  
  token <- ""
  for (char in chars) {
    if (char == SYMBOL_PLUS && parToggle == 0) {
      tmpList <- c(tmpList, token)
      token <- ""			
    } else {
      if (char != " ") token <- paste(token, char, sep="")		
      if (char == SYMBOL_L_PAR) parToggle <- parToggle+ 1
      if (char == SYMBOL_R_PAR) parToggle <- parToggle- 1
    }
  }
  tmpList <- c(tmpList, token)

  summands <- vector("list", length(tmpList))
  for (i in 1:length(tmpList)) summands[[i]] <- removeParenthesis(tmpList[[i]])

  ## if (length(summands)==1) return(summands)  ## sonst steht unten paste(NULL), was "" gibt
  
  paramEnv <- new.env(parent=.GlobalEnv)
  dots <- list(...)
  assign("dots", dots, envir=paramEnv)
  if (length(dots)>0) 
    eval(parse(text = paste(names(dots), "<- dots[[", 1:length(dots), "]]",
                            collapse=";")),
         envir=paramEnv)
  trendfct <- paste(RM_TREND[1], "(", sep="")
  isGenuineCovModel <- lapply(summands, FUN=function(name)
    ## Martin: habe hier RFtrend hinzugefuegt!
    substr(name, 1, length(trendfct)) != trendfct &&
    (is(try(eval(parse(text=name),envir=paramEnv), silent=TRUE), CLASS_CLIST) ||
     (regexpr("^[[:alnum:]_]+\\([[:print:]]*\\)$", name) == 1 && 
      (exists(fun <- strsplit(name, "\\(")[[1]][1]) && is(get(fun), CLASS_RM))
     )))
  isGenuineCovModel <- unlist(isGenuineCovModel)
                                    
  summands <- c(summands[!isGenuineCovModel],
                list(paste(unlist(summands[isGenuineCovModel]),
                           collapse=SYMBOL_PLUS)))

  if (length(summands) == 1) {
    listModel <- buildFactorList(summands[[1]], Env=paramEnv, ..x..=x)
  } else {
    listModel <- list(SYMBOL_PLUS)		
    ##last <- getLastCovIndex(summands)
    for (i in 1:length(summands))
      listModel[[i+1]] <- buildFactorList(summands[[i]], Env=paramEnv, ..x..=x)
    firstgenuine <- sum(!isGenuineCovModel) + 2
    if (firstgenuine <= length(listModel) && listModel[[firstgenuine]][[1]] == SYMBOL_PLUS) {
      listModel <- c(listModel[1:(firstgenuine - 1)], listModel[[firstgenuine]][-1])
      names(listModel) <- NULL
    }
  }
  
  return(listModel)
}



## FUNCTION-STARP***********************************************************************************
## NAME		buildCovList
## PARAM		$model - RMmodel
## RETURN		list
## REQUIRE	none
## ENSURE		isListModel(output) == TRUE
## SEE		RMmodel, devel-doc
## AUTHOR		Sebastian Gross 
#                        modified 2015--2017 by Martin Schlather
### DATE		26.08.2011
## FUNCTION-END*************************************************************************************
buildCovList <- function(model, x=NULL) {
  if (is.atomic(model) || is.list(model) ||
      is.language(model) || is.environment(model))
    return(model) ## for recursive calling
  
  if (!isRMmodel(model)) stop('model must be of class ', CLASS_CLIST) 
  
  li <- c(list(model@name),
          lapply(model@par.model[model@par.model != RM_DEFAULT],
                 FUN=buildCovList, x=x),
          lapply(model@submodels, FUN=buildCovList, x=x) )
  
  if (li[[1]] == RM_PLUS[1]) li[[1]] <- SYMBOL_PLUS
  if (li[[1]] == RM_MULT[1]) li[[1]] <- SYMBOL_MULT


 
  ##  par.general.is.default <-
  ##    unlist(lapply(model@par.general, FUN=function(x) x==RM_DEFAULT))
  if (length(model@par.general)>0 &
      !all(model@par.general==RM_DEFAULT)) {
    li <- c(DOLLAR[1],
            lapply(model@par.general[model@par.general != RM_DEFAULT],
                   FUN=buildCovList, x=x),
            list(li))
 #   if (length(pos <- which(names(li)=="Aniso")) > 0)
  #    ## in c-level, parameter is called 'A'
  #    names(li)[pos] <- "A"
  }
  
  return(li)           
}




## FUNCTION-STARP***********************************************************************************
## NAME		removeParenthesis
## PARAM		$string - string
## RETURN		string
## REQUIRE	none
## ENSURE		The returned string is one not enclosed by parenthesis
## AUTHOR		Sebastian Gross 
## DATE		26.08.2011
## FUNCTION-END*************************************************************************************
removeParenthesis <- function(string)
{
	# split the string
	chars <- strsplit(string, "")[[1]]

	while (head(chars, 1) == SYMBOL_L_PAR &&
               tail(chars, 1) == SYMBOL_R_PAR)
	{
		chars <- chars[-1]
		chars <- chars[-length(chars)]
	}

	# rejoin the string
	string <- ""
	for (char in chars)
	{
		string <- paste(string, char, sep="")
	}
	return (string)
}

## FUNCTION-STARP***********************************************************************************
## NAME		buildFactorList, isFormalCovModel, catch
## PARAM		$summand - string
## AUTHOR		Sebastian Gross 
### DATE		29.08.2011
## changed by Martin Schlather 2015 -- 2017
## FUNCTION-END*************************************************************************************


buildFactorList <- function(summand, Env, ..x..) { #, last
  ## remove parenthesis
  factorA <- removeParenthesis(summand)

  ## formerly partially 'catch'
  X <- eval(parse(text=factorA), envir=Env)

  
  ##  Print(X, factorA, !isFormalCovModel(factorA))
  isFormalCovModel <- is(X, CLASS_CLIST) ||
    (regexpr("^[[:alnum:]_]+\\([[:print:]]*\\)$", factorA) == 1 &&
     exists(fun <- strsplit(factorA, "\\(")[[1]][1]) && is(get(fun), CLASS_RM))
  
  if (!isFormalCovModel) { ## (( && last))    
    if (is.factor(X)) {
      lev <- levels(X)
      if (length(lev) > MAXSUB^2 + 1)
        stop("max number of factors limited to ", MAXSUB^2)
      L <- list(RM_PLUS[1])
      i <- 2
      while (i <= length(lev)) {
        last <- min(length(lev), i + MAXSUB -1)
        plusList <- list(RM_PLUS[1])
        while (i <= last) {
          tmpList <- list(RM_COVARIATE)         
          tmpList[[COVARIATE_C_NAME]] <- as.numeric(X == lev[i])
          tmpList[[COVARIATE_X_NAME]] <- ..x..
          tmpList[[COVARIATE_ADDNA_NAME]] <- TRUE
          plusList[[length(plusList) + 1]] <- tmpList
          i <- i + 1;
        }
        L[[length(L) + 1]] <- plusList
      }
      return(if (length(lev) == 2) tmpList
             else if (length(lev) <= MAXSUB + 1) plusList
                                     else  L)
#            else list("RMtrend", mean=if (length(lev) <= MAXSUB + 1) plusList
#                                     else list("RMtrend", L)))
    } else if (is.vector(X)) {
      if (length(X) > 1) {
       tmpList <- list(RM_COVARIATE)         
       tmpList[[COVARIATE_C_NAME]] <- X
       tmpList[[COVARIATE_X_NAME]] <- ..x..
       tmpList[[COVARIATE_ADDNA_NAME]] <- TRUE       
      } else {
        tmpList <- list(R_CONST)
        tmpList[[CONST_A_NAME]] <-
          if (is.finite(X) && X == 1) NA else as.numeric(X)
      }
      return(tmpList) 
    } else stop(ERRMIXED)
    
  } else {
    tmpList <- buildCovList(X, x=..x..)
    return(tmpList)
  }
}