search for: aavram

...t;) > >Of course, I don't know whether the ODBC driver implements these >functions or not. (Is 'RODBC' built on DBI? Looks like Aaron and I >have been assuming that.) > >Coey > > > -Aaron > > > > On Thu, Sep 11, 2008 at 3:21 PM, Avram Aelony <aavram at mac.com> wrote: > > > > > > Perhaps I will need to create a temp table, but I am asking if there is a way to avoid it. It would be great if there were a way to tie the R data frame temporarily to the query in a transparent fashion. If not, I will see if I can create/drop th...

A few questions about maps... (1) How can I find a listing of the internal data sets that map() from the maps library contains? For example, "usa", "county", "state", "nz" all work. Are there any others? (2) Is there an easier, more generalized way to produce this (http://www.ai.rug.nl/~hedderik/R/US2004/ ) type of plot than this

Hive <http://hadoop.apache.org/hive/> is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called QL which is based on SQL and which enables users familiar with

Dear List, I have a wrapper function that draws a graph that I'd like to use in a vector-like manner. The for-loop version I currently use is below. library(ggplot2) data(economics) h <- 600 w <- 800 #---------------------------------------------------------- draw_metric_by_date <- function( df, i, smooth=FALSE, BASEPATH ) { mlabel <- names(df)[i] qmetric

Dear R community, I find R fantastic and use R whenever I can for my data analytic needs. Certain data sets, however, are so large that other tools seem to be needed to pre-process data such that it can be brought into R for further analysis. Questions I have for the many expert contributors on this list are: 1. How do others handle situations of large data sets (gigabytes, terabytes)

...ng-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ------------------------------ Message: 74 Date: Mon, 29 Sep 2008 14:27:27 -0700 From: Avram Aelony <aavram at mac.com> Subject: [R] box-whisker plot from pre-summarized data? To: r-help at r-project.org Message-ID: <2D9FFEC5-F863-473E-A413-71DD6BAAB10B at mac.com> Content-Type: text/plain; charset=US-ASCII; delsp=yes; format=flowed Hello, Although my summary descriptives are generated outside...

...13. Matching (vpas) 14. Re: Matching (Gabor Grothendieck) 15. post hoc comparisons on interaction means following lme (Lawrence Hanser) 16. Re: Matching (Doran, Harold) 17. Treatment of Date ODBC objects in R (RODBC) (Ivan Alves) 18. Re: Treatment of Date ODBC objects in R (RODBC) (aavram at mac.com) 19. package sn (Adelchi Azzalini) 20. Re: queue simulation (Charles C. Berry) 21. Re: Globbing Files in R (Earl F Glynn) 22. Re: Globbing Files in R (Duncan Murdoch) 23. Re: Treatment of Date ODBC objects in R (RODBC) (Peter Dalgaard) 24. questions about read datafile into R...

Has anyone had success with producing legends to a qplot graph such that the legend is placed on the bottom, under the abcissa rather than to the right hand side ? The following doesn't move the legend: library(ggplot2) qplot(mpg, wt, data=mtcars, colour=cyl, gpar(legend.position="bottom") ) I am using ggplot2_0.8.2. Thanks in advance, Avram

Hello, I have read through the manuals and can't seem to find an answer. I have a categorical, character variable that has hundreds of values. I want to group the existing values of this variable into a new, derived (categorical) variable by applying conditions to the values in the data. For example, suppose I have a data frame with variables: date, country, x, y, and z. x,y,z are