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Decision Development Inc is currently hiring part-time employees or college interns to support our analytical division. Applications for the Assistant Marketing Research Analyst position will be given immediate consideration. Assistant Marketing Research Analysts work to structure, tabulate, and clean the data generated during our marketing research interviews. They form the foundation of an

Hi, Please see the email exchanges below. I am having trouble generating output that is large enough for our needs, specifically when using the GaussRF function. However, when I wrote Dr. Schlather (the author of the GaussRF function), he indicated that there is also a limit imposed by R itself. Is this something that we can overcome? Thank you very much for any assistance you may provde.

Hi Dave. I'll try to offer some feedback from a fellow non-stats guy working in a business setting. I've not directly transitioned from S+ to R, but I've previously hit roadblocks with SAS and SPSS that compelled me to investigate the S/R languages. I think that as you read messages on this list, you'll find that most users don't implement R as a back end to a chain of

> HTTP: http://mirror.sesp.northwestern.edu/centos/ <http://mirror.sesp.northwestern.edu/centos/> > Sync schedule: Hourly > Bandwidth: Internet2 > Location: Evanston, Illinois > Sponsor: Northwestern University School of Education and Social Policy > Sponsor URL: www. <http://www.sesp.northwestern.edu/>sesp <http://www.sesp.northwestern.edu/>.

All, I am working with a large dataset that tracks who watches what media at what time. I am working on media consumption data from a survey, and one of the batteries asks if [r] has consumed a particular form of media at X time over the course of a week, so the data looks like this: 5:00-5:30 [0,1] 5:30-6:00 [0,1]. 23:30-0:00

Hello, Please excuse me if this question has been asked before. I'm new to R, and have been trying to google the answers without any success. I would like to convert a set of date and time into R date-time class. Right now, the dates and times are in integer format, so I first need to convert them into string, and then to R date-time using strptime. However, I have a problem converting them

Dear All, I am trying to cross compile the dependencies of ices for arm linux. I have been able to compile libxml2 (2.6.32) and libogg (1.1.3) successfully but I am getting stuck at compiling libvorbis (1.2.0). Making install in examples make[1]: Entering directory `/home/sr/armlinux/stream/libvorbis-1.2.0/examples' /bin/bash ../libtool --tag=CC --mode=link /usr/local/arm/bin/arm-linux-gcc

Hi Just released a first version of the WxRuby project I''ve been working on. Firstly, I wanted to say thanks to everyone on this list who''s helped at various points over the past year - every time I ran into a problem someone jumped in with advice. A very brief explanation of the app - I''m a sociologist/anthropologist by trade, and the app is intended for use in

- This mail is in HTML. Some elements may be ommited in plain text. - WorldCIST Conference WorldCIST'15 - 3rd World Conference on Information Systems and Technologies, to be held at Ponta Delgada, S?o Miguel, Azores, Portugal, 1 - 3 April 2015, is a global forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences and concerns in

- This mail is in HTML. Some elements may be ommited in plain text. - WorldCIST Conference WorldCIST'15 - 3rd World Conference on Information Systems and Technologies, to be held at Ponta Delgada, S?o Miguel, Azores, Portugal, 1 - 3 April 2015, is a global forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences and concerns in

- This mail is in HTML. Some elements may be ommited in plain text. - -------------------------------------------------------------------- WorldCIST'15 Workshops Azores, April 1-3, 2015 http://www.aisti.eu/worldcist15/index.php/workshops -------------------------------------------------------------------------------- WorldCIST'15 WorldCIST'15 - 3rd World Conference on Information

- This mail is in HTML. Some elements may be ommited in plain text. - -------------------------------------------------------------------- WorldCIST'15 Workshops Azores, April 1-3, 2015 http://www.aisti.eu/worldcist15/index.php/workshops -------------------------------------------------------------------------------- WorldCIST'15 WorldCIST'15 - 3rd World Conference on Information

RDQA is a package for Qualitative Data Analysis built upon R. It works both on the Windows and Linux/FreeBSD platforms. RQDA is an easy-to-use tool to assist in the analysis of textual data. At the present, it supports only plain text format data. All the information is stored in SQLite database via the R package of RSQLite. The GUI is based on RGtk2, via the aid of gWidgetsRGtk2. It includes a

RDQA is a package for Qualitative Data Analysis built upon R. It works both on the Windows and Linux/FreeBSD platforms. RQDA is an easy-to-use tool to assist in the analysis of textual data. At the present, it supports only plain text format data. All the information is stored in SQLite database via the R package of RSQLite. The GUI is based on RGtk2, via the aid of gWidgetsRGtk2. It includes a

All, I'm relatively new to using R, having used it thus far for some simple statistics and plotting. However, I'm not new to programming by any measure. I've been looking at the various modules available for clustering, factor analysis, etc. and find that I need advice on which modules I should be focusing on and their application. I have a data set comprised of columns of both

Hello, I'm a R newcomer and I'm wondering the kind of data structure that would best fit to my problem: my data are equities (stocks) : so I have a time serie (say 1 year of weekly data), and a bunch of qualitative + quantitative variables : the sector of the stock (biotech/finance...), the geographical region, the name, ISIN code, P/E ratios, whatever... The data.frame is perfect for the

Hello. I have a data base with 50 qualitative variables and a lot of individuals. I try to estimate the links between one of these variables (landcover) and the 49 others (geomorphology, hydrography...). I want to use a "discriminant analysis on qualitative variables" (as DISQUAL in SPAD) or a " log-linear model ". Which R-Package(s) or other methods can you advise me.

Hi! Apologies if this is not the correct place to ask. I am attempting a MFA analysis of a dataset based on wine chemical and sensory analysis, based on the STHDA tutorial [1]. (I am using this dataset here too, as an example dataset to work on without posting my actual data. I've tried this with both my data and the example data, with the exact same results.) The only issue I am having is

Dear all, RQDA is a package for computer-aided qualitative data analysis, currently supporting plain text as qualitative data. It supports various operations in the grounded theory tradition such as coding, retrieval of codings, categorisation, attributes etc. It can also be used for content analysis and similar analysis, the result of which can be exported to be analysed in quantitative or

Dear all, RQDA is a package for computer-aided qualitative data analysis, currently supporting plain text as qualitative data. It supports various operations in the grounded theory tradition such as coding, retrieval of codings, categorisation, attributes etc. It can also be used for content analysis and similar analysis, the result of which can be exported to be analysed in quantitative or