https://github.com/wactbprot/R4CouchDB
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\/ \_/ |_| \____/ \___/ \__,_| \___||_| |_|/___,' \_____/
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A R convenience layer for CouchDB
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The R4CouchDB package provides a collection of functions for basic database and document management operations such as add and delete.
Every cdbFunction() gets and emits a list containing the connection set up. With the cdbIni() function the cdb$serverName is set to “localhost” as a default. This means that localhost should provide a CouchDB. There are some examples below the demo folder.
Getting started
- download latest version or clone repository
open a shell and install the package with:
R CMD INSTALL R4couchDBdependencies (bitopts, RCurl, RJSONIO) can be installed in the same way
open R shell and load library with:
library(R4CouchDB)generate a connection object (list()) with:
foo <- cdbIni()play around with foo
foo$queryParam <- "count=10" cdbGetUuidS(foo)$resor make a twitter_db and fill up some search results from the request http://search.twitter.com/search.json?q=couchdb
foo$newDBName <- "twitter_db" foo <- cdbMakeDB(foo) u <- "http://search.twitter.com/search.json?q=couchdb" res <- fromJSON(getURLContent(u)) lapply(res$results, function(i){ foo$dataList <- i cdbAddDoc(foo)}) foo$resget angry and write a ticket on https://github.com/wactbprot/R4CouchDB
I like to have a “x vs. y”- plot in which the symbol colors represent a additional (or another :-) dimension z.
I’m sure that there are several ways to do that, however here is the way I understand.
Assume that x, y and z have the same length n :
n <- length(y)
At first I generate a vector from z (z will give the color) in the interval [0,1]
zp <- z - min(z) ## zp starts from 0
zpp <- zp/max(zp) ## zpp ends at 1
If I now multiply zpp by n I get a nice index vector which can be used together with the result produced by colorRampPalette():
cf <- colorRampPalette(c("blue","yellow","red"))
cf is a function. It’s argument is the length of the color vector which should be returned. Now put everything together:
plot(x,y,col=cf(n)[n*zpp])
Here is a complete example:
This is how it looks like:
HTH
I’ve been wanting to describe some of my work with using R to help me understand data I’m collecting in Couchbase Server† because I find it quite interesting, useful and easy.
…
Or… How to push oneself down the rabbit hole of environments, namespaces, exports, imports, frames, enclosures, parents, and function evaluation?
The SASnRdisplay package serves as a front-end to the listings, which permits statisticians and others to import source code, and the results of their calculations or simulations into LaTeX projects.
The package is also capable of overloading the Sweave and SASweave packages.
Drew Conway:
Today I am pleased to announce that we have worked out most of the bugs, and now have a reliable data set upon which to build. Better still, we are ready to share. Unlike our old system, the data now lives on a live CouchDB database, and can be queried for specific research tasks. We have combined all of the data available from Twitter’s search API with the information on each member from Sunlight Foundation’s Congressional API. […] But be forewarned, working with this system and CouchDB requires a mature understanding of several tools and languages; including but not restricted to; curl, map/reduce, Javascript, and JSON. And that’s before you have even done any analysis.
Original title and link: Interesting Data Sets and Tools: Monthly Twitter Activity for All Members of the U.S. Congress (©myNoSQL)
Today I searched an old post. I used the tumblr search without success …
So I’ve started a new blog with some couchdb, git, node.js stuff I wrote last months. This kind of posts I will dump there.
Leave a comment on
wactbnotes
or do it here. The blog is hosted on
It’s a couchapp. Comments?
I relay hope Wittgenstein will approve.
One of the nice things about tracking the R subversion repository using git instead of subversion is you can do
git shortlog -s -nwhich gives you
19855 ripley 6302 maechler 5299 hornik 2263 pd 1153 murdoch 813 iacus 716 luke 661 jmc 614 leisch 472 ihaka 403 murrell 286 urbaneks 284 rgentlem 269 apache 253 bates 249 tlumley 164 duncan 92 r 43 root 40 paul 40 falcon 39 lyndon 34 thomas 33 deepayan 26 martyn 18 plummer 15 (no author) 14 guido 3 ligges 1 mike
One of my favorite R packages that I use all the time is the RColorBrewer package. The package has been around for a while now and is written/maintained by Erich Neuwirth. The guts of the package are based on Cynthia Brewer’s very cool work on the use of color in cartography (check out the colorbrewer web site).
As a side note, I think the ability to manipulate colors in plots/graphs/maps is one of R’s many great strengths. My personal experience is that getting the right color scheme can make a difference in how data are perceived in a plot.
generates regExp from nobrainer * expressions
> glob2rx("foo*.bar.*baz")
[1] "^foo.*\\.bar\\..*baz$"
if:
checking for gcc... gcc
checking whether the C compiler works... yes
checking for C compiler default output file name... a.out
checking for suffix of executables...
checking whether we are cross compiling... no
checking for suffix of object files... o
checking whether we are using the GNU C compiler... yes
checking whether gcc accepts -g... yes
checking for gcc option to accept ISO C89... none needed
USE_LOCAL = ""
Using local libjson code. Copying files
/tmp/Rtmp2n5YCn/R.INSTALL38c6756b/RJSONIO
configure: creating ./config.status
config.status: creating src/Makevars
config.status: creating cleanup
** libs
gcc -std=gnu99 -I/usr/lib/R/include -I. ....
make: g++: Kommando nicht gefunden
make: *** [JSONChildren.o] Fehler 127
ERROR: compilation failed for package ‘RJSONIO’
then:
# ln -s g++-4.4 g++
# l g++
lrwxrwxrwx 1 root root 7 11. Okt 13:09 g++ -> g++-4.4*
