David,
In data.table v1.9.5 (current development version, which you can get
from here: https://github.com/Rdatatable/data.table/wiki/Installation),
new features were added to both `melt` and `cast` for data.tables.
They both can handle multiple columns simultaneously. I think this
would be of
, 30 Mar 2015 06:50:59 -0700
To: r-help@r-project.org
Subject: [R] data.frame: data-driven column selections that vary by row??
Sorry if that's confusing: I'm probably confused. :-(
I am collecting and trying to analyze data regarding performance of
computer systems.
After extracting
Nice clean-up!!!
On Tue, 2015-03-31 at 14:19 -0400, Ista Zahn wrote:
library(tidyr)
library(dplyr)
bw - gather(bw, key = tmp, value = value,
matches(^d[a-z]+[0-9]+))
bw - separate(bw, tmp, c(disc, var), _, extra = merge)
bw - spread(bw, var, value)
Not entirely sure I understand your problem here (your first email was a
lot of reading).
Would it make sense to add an extra column device_name
Thus ending up with something like:
Host Device Type
host_Aada0ssd
host_Aada1ssd
host_Aada2hdd
...
host_Nda3 ssd
On Tue, Mar 31, 2015 at 07:11:28AM -0800, John Kane wrote:
I think we need some data and code
Reproducibility
https://github.com/hadley/devtools/wiki/Reproducibility
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
I apologize for failing to
Hi David,
I suggest reading http://www.jstatsoft.org/v59/i10, then:
library(tidyr)
library(dplyr)
bw - gather(bw, key = tmp, value = value, matches(^d[a-z]+[0-9]+))
bw - separate(bw, tmp, c(disc, var), _, extra = merge)
bw - spread(bw, var, value)
Best,
Ista
On Tue, Mar 31, 2015 at 1:22 PM,
Sorry if that's confusing: I'm probably confused. :-(
I am collecting and trying to analyze data regarding performance of
computer systems.
After extracting the data from its repository, I have created and
used a Perl script to generate a (relatively) simple CSV, each
record of which contains:
*
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