rename files, delete unneccesary code, some comments

issuecomp-analysis.R

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+require(lubridate)
+require(XML)
+require(ggplot2)
+require(reshape2)
+
+# Create date range
+date_start <- as.Date("2014-01-01")
+date_end <- as.Date("2014-12-01")
+drange <- as.integer(date_end - date_start)
+drange <- date_start + days(0:drange)
+issues <- data.frame(date = drange)
+
+issuelist <- xmlToList("issues.xml")
+issueheads <- names(issuelist)
+issues[issueheads] <- 0
+
+for(d in 1:nrow(issues)) {
+  curdate <- issues$date[d]
+  cat(as.character(curdate),"\n")
+  # Put all tweets from specific day in a temporary DF
+  tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
+  
+  for(t in 1:nrow(tweets_curday)){
+    # Select tweet's text, make it lowercase and remove hashtag indicators (#)
+    curtext <- tolower(as.character(tweets_curday$text[t]))
+    curtext <- str_replace_all(curtext, "#", "")
+    
+    for(i in 1:length(issuelist)) {
+      curtags <- as.character(issuelist[[i]])
+      curissue <- names(issuelist)[i]
+      curtags <- str_c("\\W", curtags, "\\W")
+      tags_found <- str_detect(curtext, sprintf("%s", curtags))
+      tags_found <- any(tags_found)
+      
+      if(tags_found) {
+        #cat("Positive in", curissue,"from",as.character(drange[d]),"\n")
+        issues[d,curissue] <- issues[d,curissue] + 1
+      }
+      else {
+        #cat("Nothing found\n")
+      }
+      
+    } # /for issuelist
+  } # /for tweets_curday
+} # /for drange
+
+
+## Do not use days but week intervals
+
+wrange <- (as.integer(date_end - date_start) / 7)
+wrange <- floor(wrange) - 1
+wrange <- date_start + weeks(0:wrange)
+issues_week <- data.frame(week = wrange)
+issues_week[issueheads] <- 0
+
+
+for(w in 1:nrow(issues_week)) {
+  curweek <- issues_week$week[w]
+  currange <- curweek + days(0:6)
+  
+  day <- 1
+  
+  
+  for(d in 1:nrow(issues)) {
+    curday <- issues$date[d]
+    
+    if(curweek == curday) {
+      for(c in 2:ncol(issues)) {
+        curissue <- names(issues)[c]
+        d2 <- d + 6
+        curvalue <- sum(issues[d:d2,curissue])
+        issues_week[w, curissue] <- curvalue
+        
+      } # /for issues columns
+    } # /if day matches first day of week
+    
+  } # /for issues rows
+} # /for issues_week
+
+
+
+
+# VISUALS -----------------------------------------------------------------
+
+# Level: days
+issues_melt <- melt(issues,id="date")
+ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_line(size=1)
+ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess",formula = y ~ x, se=FALSE)
+
+# Level: weeks
+issues_week_melt <- melt(issues_week,id="week")
+ggplot(issues_week_melt,aes(x=week,y=value,colour=variable,group=variable)) + geom_line(size=1)
+ggplot(issues_week_melt,aes(x=week,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess",formula = y ~ x, se=FALSE)
+
+
+# POSSIBLY USEFUL CODE ----------------------------------------------------
+
+# Limits of list
+length(issuelist)
+length(issuelist[[2]])
+
+# Select all tweets from current day in drange
+tweets_curday <- tweets[tweets[, "created_at"] == drange[5], ]
+# Is column a issue counting column?
+str_detect(names(issues[2]), "^issue")