current status

issuecomp.R

@@ -1,10 +1,13 @@
 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:d)
+drange <- date_start + days(0:drange)
 issues <- data.frame(date = drange)
 
 issuelist <- xmlToList("issues.xml")
@@ -42,13 +45,53 @@ for(d in 1:nrow(issues)) {
 } # /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 -----------------------------------------------------------------
 
-library(ggplot2)
-library(reshape2)
-df <- melt(issues,id="date")
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_line()
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=0.5,method="loess",formula = y ~ x, se=FALSE)
+# Level: days
+issues_melt <- melt(issues,id="date")
+ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_line()
+ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=0.5,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()
+ggplot(issues_week_melt,aes(x=week,y=value,colour=variable,group=variable)) + geom_smooth(size=0.5,method="loess",formula = y ~ x, se=FALSE)
+
 
 # POSSIBLY USEFUL CODE ----------------------------------------------------