This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Verifying that +jrauser is my blockchain ID. https://onename.com/jrauser |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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) | |
``` |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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)))) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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() |