1 files changed, 0 insertions, 71 deletions
diff --git a/admin/survey/modules/mod_kakovost/R/gen.survey.str.R b/admin/survey/modules/mod_kakovost/R/gen.survey.str.R
deleted file mode 100644
index 32e1f57..0000000
--- a/admin/survey/modules/mod_kakovost/R/gen.survey.str.R
+++ /dev/null
@@ -1,71 +0,0 @@
-gen.survey.str <- function(colnames.dsa, questions.file, items.file){
-  #import questions file
-  questions <- fread(questions.file, skip=1, header=F,
-                     select=c(2, 5, 6, 8, 9, 10),
-                     col.names=c("question.id", "variable", "tip", "size", "visible", "params"))
-  
-  #create variable list from survey data file
-  #remove "recnum" and "_text" fields
-  var.data <- colnames.dsa[sapply(colnames.dsa, function(x){substr(x, nchar(x)-4, nchar(x))})!="_text"]
-  
-  #create variable list from questions file
-  var.questions <- questions$variable
-  
-  #generate data.table from var.data list
-  survey.str <- data.table(variable = var.data)
-  
-  setkey(questions, "variable")
-  setkey(survey.str, "variable")
-  
-  #if all var.data in var.questions, do the simple merge and return file
-  if(all(var.data %in% var.questions)){
-    survey.str <- questions[survey.str,]
-    return(survey.str)
-  }else{   #if not, import items file and do additional merge with it...
-    #import items file
-    items <- fread(items.file, skip=1, header=F,
-                   select=c(2, 3, 4),
-                   col.names=c("question.id", "item.id", "variable"))
-    
-    setkey(items, "question.id")
-    setkey(questions, "question.id")
-
-    #bind variables from questions and items (for the later, only take instances with no match in the questions file...)
-    survey.str.qi <- rbindlist(list(questions[var.questions %in% var.data,],
-                                    items[questions[!(var.questions %in% var.data), -"variable", with=F], nomatch=0L]), 
-                               fill=T)
-
-    #merge questions+items with survey data...
-    setkey(survey.str.qi, "variable")
-    setkey(survey.str, "variable")
-    survey.str <- survey.str.qi[survey.str,]
-    
-    #if all var.data is now matched, return the survey.str
-    if(!(any(is.na(survey.str)))){
-      return(survey.str)
-    }else{  #if not, do additional merging...
-      #create index of all NA instaces from survey.str...
-      index <- apply(cbind(survey.str[, is.na(tip)], 
-                           (sapply(survey.str[, variable], function(x){
-                             substr(x, 1, regexpr("\\_[^\\_]*$", x)-1)
-                           }) %in% survey.str.qi$variable)
-      ), 
-      1, all)
-      
-      #... using regex to find matches among unmatched instances from survey.str.qi
-      add <- merge(survey.str[index, list(variable, substr(variable, 1, regexpr("\\_[^\\_]*$", variable)-1))], 
-                   survey.str.qi[!(variable %in% survey.str$variable),], 
-                   by.x="V2", by.y="variable", all.y=F)[, list(question.id, item.id, tip, visible, size, params)]
-
-      #update survey.str with new values
-      survey.str[index, c("question.id", "item.id", "tip", "visible", "size", "params") := as.list(add)]
-
-      #if there is no NAs left, return survey.str, else return msg
-      if(!(any(is.na(survey.str$tip)))){
-        return(survey.str)
-      }else{
-        return(paste("No match found for: ", survey.str[is.na(tip), variable]))
-      }
-    }
-  }
-}