Posts Tagged ‘ databases ’

Slides: “Accessing Databases from R” #rstats

May 7, 2011
By
Slides: “Accessing Databases from R” #rstats

For the past few meetings of the Greater Boston useR Group, we have been opened with an introductory “useR Vignette” talk on a topic which may be helpful for new R users. This week, I presented an overview of accessing databases from R. Several people have tweeted and blogged nice things about my talk and

Read more »

Software tools for data analysis – an overview

February 19, 2011
By
Software tools for data analysis – an overview

by Szilard Pafka Discussions on various software tools (C, C++, Perl, Python, Unix shell, R, Matlab, SAS, SPSS, Excel, databases, Hadoop etc.) used in data analysis. Szilard Pafka (founder and co-organizer of the Los Angeles R users group) presents an … Continue reading →

Read more »

Findings increasingly novel, scientists say…

October 29, 2010
By
Findings increasingly novel, scientists say…

…was the tongue-in-cheek title of an image that I posted to Twitpic this week. It shows the usage of the word “novel” in PubMed article titles over time. As someone correctly pointed out at FriendFeed, it needs to be corrected for total publications per year. It was inspired by a couple of items that caught

Read more »

A new twist on the identifier mapping problem

January 11, 2010
By
A new twist on the identifier mapping problem

Yesterday, Deepak wrote about BridgeDB, a software package to deal with the “identifier mapping problem”. Put simply, biologists can name a biological entity in any way that they like, leading to multiple names for the same object. Easily solved, you might think, by choosing one identifier and sticking to it, but that’s apparently way too

Read more »

Review of R in NYT and GDAT

January 8, 2009
By
Review of R in NYT and GDAT

GDAT instructor, Jim Holtman, pointed me at this review of R in yesterday's New York Times. It definitely puts SAS on the defensive.Update: Another piece in the tech section of NYT.If you want to know how to apply R to performance data, sign up for th...

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Dommino data lab

Quantide: statistical consulting and training



http://www.eoda.de







ODSC

ODSC

CRC R books series





Six Sigma Online Training





Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)