jrauser

library(ggplot2)
df<-data.frame(timestamp=as.POSIXct(seq(1,10000*60,60),origin='2011-04-01'),value=runif(10000))
ggplot(df,aes(timestamp,value))+geom_line()

# Error in anyDuplicated.default(breaks) : 
#   length 1293868801 is too large for hashing

library(ggplot2)
df<-data.frame(timestamp=as.POSIXct(seq(1,10000*60,60),origin='2011-04-01',tz="UTC"),value=runif(10000))
ggplot(df,aes(timestamp,value))+geom_line()

jrauser

points_per_hour<-2000
layd_raw_transition<-
data.frame(timestamp=factor(c(rep(seq(0,11),points_per_hour),
                       rep(seq(12,23),points_per_hour))),
           latency=c(rgamma(12*points_per_hour,shape=3,scale=60),
                     rgamma(12*points_per_hour*0.9,shape=2,scale=60),
                     rgamma(12*points_per_hour*0.1,shape=8,scale=60)),
           type=(c(rep("before",12*points_per_hour),
                   rep("after",12*points_per_hour))))

jrauser

knitr cache problem
========================================================

This markdown doc demonstrates the problem.  I am using R 3.0.2 (in RStudio, if it matters) and knitr 1.5.

```{r libs}
library(knitr)
opts_chunk$set(cache=TRUE, autodep=TRUE)
library(ggplot2)
```

jrauser

Verifying that +jrauser is my blockchain ID. https://onename.com/jrauser