X-Git-Url: https://git.donarmstrong.com/?p=don.git;a=blobdiff_plain;f=posts%2Fbug_reporting_rate.mdwn;h=f63a8e82a64acbec05a1a313624ac0ad8b23e2a6;hp=8cf225c5626e0f33bc8af1927f804023c27bbc4a;hb=HEAD;hpb=4d8dcb67dea77b38a96f223f4a02ca2c980cd586

diff --git a/posts/bug_reporting_rate.mdwn b/posts/bug_reporting_rate.mdwn
index 8cf225c..f63a8e8 100644
--- a/posts/bug_reporting_rate.mdwn
+++ b/posts/bug_reporting_rate.mdwn
@@ -13,13 +13,14 @@ plot this, lets only look at bugs ending in 00:
 
 
 Now, lets get the data into R and plot it.
-[For clarity, I'm not showing the R code, but it's available in the source cdoe for this post.]
+[For clarity, I'm not showing the R code, but it's available in the source code for this post.]
 
-[[!sweavealike results="hide" fig=1 echo=0 code="""
+[[!sweavealike width=800 fig=1 echo=0 nooutput=1 results="hide" code="""
+require(lattice)
 reporting.rate <- read.table("data/bug_reporting_rate.txt")
 colnames(reporting.rate) <- c("bug","epoch")
 reporting.rate <- data.frame(reporting.rate)
-reporting.rate$bug <- as.numeric(gsub("\\.report","",gsub(".*\\/","",reporting.rate$bug)))
+reporting.rate$bug <- as.numeric(gsub("\\\\.report","",gsub(".*\\\\/","",reporting.rate$bug)))
 reporting.rate <- reporting.rate[order(as.numeric(reporting.rate$bug)),]
 ### this is the number of bugs submitted per second
 ### however, for bug numbers less than about 100000, this number is wrong.
@@ -27,13 +28,13 @@ reporting.rate$rate <- c(NA,(reporting.rate$bug[-1] - reporting.rate$bug[-nrow(r
 	(reporting.rate$epoch[-1]-reporting.rate$epoch[-nrow(reporting.rate)]))
 reporting.rate$day <- as.POSIXct(reporting.rate$epoch,origin="1970-01-01")
 ### show the reporting rate from 2003 onward with a lowess line
-xyplot(rate~day,reporting.rate[reporting.rate$epoch >= 1041408000,],
+print(xyplot(rate~day,reporting.rate[reporting.rate$epoch >= 1041408000,],
        panel=function(x,y,col,...){
 	     panel.xyplot(x,y,col="cyan",...);
 		 panel.loess(x,y,col="red",...);},
-      ylim=c(0,0.005),
+      ylim=c(0,0.004),
 	  ylab="Bugs per Second",
-	  xlab="Time")
+	  xlab="Time"))
 """]]
 
 From the plot (Bugs reported per second over time with a red loess fit