I found the addendum.
http://cloud.github.com/downloads/hadley/ggplot2/guide-col.pdf
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I just updated to R 2.14 with ggplot2 0.9 and am finding bugs.
> ggplot2 "GPL-2" "2.14.0"
This example is taken from pg 101 in the ggplot book.
> plot <- qplot(date, psavert, data = economics, geom = "line") +
> ylab("Personal savings rate") + geom_hline(xintercept = 0, colour
I had this same issue. My quick and dirty solution was to create an infinite
loop at the end of my R plotting script and then manually kill the job with
Ctrl+C once I was done looking at the plot.
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Hi Jim,
Thanks for your insight. I used Linux split to split my large file into
smaller partitions. On the server I work on, multipath I/O access is enabled
and we use RAID for storage; thus, I don't think I can put each partition on
a spindle. I'm able to open multiple files at a time into stdin
Is it possible to parallel scan a large file into a character vector in 1M
chunks using scan() with the "doMC" package? Furthermore, can I specify the
tasks for each child?
i.e. I'm working on a Linux box with 8 cores and would like to scan in 8M
records at time (all 8 cores scan 1M records at a
http://projects.uabgrid.uab.edu/r-group/wiki/CommandLineProcessing
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Thanks Jim! I posted the specifics of what I'm trying to accomplish here:
http://r.789695.n4.nabble.com/Slow-Data-Table-Merge-td3072027.html
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I've downloaded the "data.table" package from CRAN and R-Forge and still
can't utilize merge.data.table for faster merges. How do I make this
function visible?
> install.packages("data.table",repos="http://R-Forge.R-project.org";)
trying URL
'http://R-Forge.R-project.org/src/contrib/data.table_1.
This should work:
> test <-subset(wild,ID=="2830" & Date==as.POSIXlt("2010-08-17"))
If not, here's another solution:
> dates <- c("2010-05-28","2010-08-17")
> dates <- as.POSIXlt(dates)
> id <- c("2830","2830")
> data <- data.frame(id,dates)
> test <- data[data$id == "2830" & data$dates == as.POS
Clever solution. I use paste alot and didn't think to use it for this
problem. Thanks!
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How do I pass a filename as an argument to the system command to count the
number of records in that file? I only know how to do it by hardcoding it.
HARDCODING EXAMPLE
> test <- matrix(1:20,ncol=5)
> write(x = test,file = "test.txt")
> records <- as.numeric(system("cat test.txt | wc -l",intern =
Hah, my previous post was from my attempt on Windows Vista. It works fine on
Linux though.
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Hadley, it doesn't work. Here is my step by step sequence following the
Wordpress site instructions.
R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistr
How do I reverse the order of the legend in a bar plot to match order of the
x-axis? In other words, I want the stacked colors of the legend to match the
stacked colors of the bar plot. I tried this, but it didn't work.
colors <- c("5" = "red","4" = "blue","3" = "darkgreen")
p <- qplot(factor(cyl
I just installed R on Redhat Linux at work for the first time and have two
questions.
1. I tried to install R to have png and cairo capabilities and was
unsuccessful. Before running make, I ran ./configure --with-libpng=yes
--with-x=no --with-cairo=yes --with-readline-yes . R installed fine, but
> library(ggplot2)
> data(diamonds)
> temp <- qplot(cut, color, data=diamonds)
> ggsave(temp, file = "test.png")
Saving 7" x 7" image
Error in grDevices::png(..., width = width, height = height, res = dpi, :
X11 is not available
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I have a script that creates a qplot that is then saved as a .png file which
works fine on Windows. But I also work on Linux servers via Putty and would
like to be able to create and save my plots to my working directory. Is
there a way I can ggsave my qplot without utilizing X11 in Linux? I don't
I have data that comes into R already ordered. When I use ggplot, it orders
them which I don't want. How do I fix this without changing
options("contrast")?
The data I have is number of days:
30
29
...
20
19
...
10
9
...
1
When I plot with ggplot, it orders them by the first number only. So 3 en
Almost there!
So my previous data example was just a small subset of my true data. I have
all the months from 2007-2009 in order. So when I create the barplot
following your script, it bins all 12 months for each year -- a stacked
barplot with 3 bars (2007,2008,2009), which I don't want. I want e
I'm trying to create a stacked bar chart with x=month, y=volume, and
factor=type.
volume type month
100A SEP09
200A OCT09
300A DEC09
400B SEP09
500B OCT09
600B DEC09
700C SEP09
800C
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