search for: exploratory

Dear all, Hyball is a free, DOS program for factor analysis and exploratory structural equation modeling (SEM), with some distinct capabilities. For a brief introduction and overview see http://www.psych.ualberta.ca/~rozeboom/READHYBL.TXT (A list of more formal references is at the end of this e-mail.) The program itself is available from http://www.psych.ualberta.ca/~ro...

Dear List, I am looking to perform exploratory analyses of two (relatively) large datasets of categorical data. The first one is a binary 80x100 matrix, in the form: matrix(sample(c(0,1),25,replace=TRUE), nrow = 5, ncol=5, dimnames = list(c( "group1", "group2","group3", "group4","group5"), c(&...

Hi: I am doing some work that involves plotting points of interest superimposed on photographs and maps. I can produce the plots fine in R, but so far I have had to do the superimposition externally, which makes it tedious to do exploratory work. I have looked to see if there is some capability to put a background picture on a plot window, but I have not found anything. Advice, anyone? Cheers Robert Biddle

EXPLORATORY DATA ANALYST / DATA MINER Australian Antarctic Division Band 6-7 (Research Scientist) AUS$47,563 - 63,922 pa The Exploratory Data Analyst (Data Miner) will use exploratory data analysis techniques to identify patterns in scientific data held in the Australian Antarctic Data Centre and elsewhere. T...

Hi, is there a way to take a data frame with 100+ columns and large data set to do efficient exploratory analysis in R with pairs? I find using pairs on the whole matrix is slow and the resulting matrix is tiny. Also the variable of interest for me is a binary var Y or N . Is there an efficient way to graphically view many variable relationships that does not look teeny ? I could do pairs 10 a...

Hi I want to install eda library. Where can I download it? I use R version 2.1.0 on Linux. Thanks. Stephen. ----- Original Message ----- From: Luis Ridao Cruz <Luisr at frs.fo> Date: Tuesday, September 13, 2005 1:32 pm Subject: Re: [R] How to erase objects > ?rm > > > >>> <v.schlecht at arcor.de> 13/09/2005 12:08:55 >>> > > Hi, I admit that

Dear R-helpers: I am doing some exploratory programming and am considering a routine that has several other routines defined within it, so that I can avoid a large and messy global re-programming to avoid naming conflicts. My question is this: Because it is interpreted, does R have to re-build these internal routines every time the new r...

...MicrosoftInternetExplorer4 Dear R-helpers,   I was wondering whether there are any good books and/or website links that introduce mark-recapture analysis in R. In particular, I am interested in exploratory data analysis of resighting data and how to create capture histories from dataframes in R. Thank you very much for your reply in advance!   Cheers, Anne -- Jetzt kostenlos herunterladen: Internet Explorer 8 und Mozilla Firefox 3.5 - sicherer, schneller und e...

hello, all. in my previous research, i have always used existing data. i am trying something new as an exploratory exercise and have never create my own variable form scratch. essentially, i am creating a variable for party affiliation. here is an example. var =party. levels= democrat, republican, other. respondents will indicate which category they fall under. for the sake of ease, i will use small data...

Hi all, This could be very basic. I want to do exploratory factor analysis but I don't have the data, rather I have the correlation matrix. How do I do this with just the correlation matrix? I know for principal components, I can just find the eigen values. Best regards -- View this message in context: http://r.789695.n4.nabble.com/Factor-analysis-t...

Hi, I got the following comment from the reviewer of a paper (describing an algorithm implemented in R) that I submitted to BMC Bioinformatics: "Finally, which useful for exploratory work and some prototyping, neither R nor S-Plus are appropriate environments for deploying user applications that would receive much use." I can certainly respond by pointing out that CRAN contains more than 2000 packages and Bioconductor contains more than 350. However, does anyone have...

hello, I am trying to do exploratory factor analysis with BRFSS dataset ( http://www.cdc.gov/brfss/technical_infodata/surveydata/2008.htm) for a couple of days, but I was not able to do that and got frustrated. Can anybody help me with step by step guide? BRFSS dataset provides ASCII or SAS format. Thank you. chloe [[alternative HT...

...nges... But now I''ve been handed a project to work with XenServer, Citrix''s commercial grade Xen. So, I wanted to ask if there were any people here with experience using XenServer, XenCenter and so on, or if you knew of a better list to ask on. For now, I am evaluating and doing exploratory testing, so I don''t have any support from Citrix. Mainly, I''m interested in learning how to create and control DomUs from CLI... I used to have this completely scripted when using Xen on top of RHEL and SLES, but with XenServer, it''s a bit different, more like using VMWa...

...looks like moving to R might involve learning three kinds of software, not just one. I wonder: 1) What open-source DBMS works most seamlessly with R? I have seen MySQL recommended but wonder if there are alternatives. I sometimes need to handle big data files. In fact a lot of my work involves exploratory and descriptive analyses of rather large and messy databases from ecological monitoring, rather than statistical tests per se. In SPSS the data files I have been generating have dozens of columns and thousands of rows, often with value and variable labels helpful for documenting my work. 2) For th...

Hi, I am trying to add a function in a linear quantile regresion to find a breakpoint. The function I want to add is: y=(k+ax)(x&lt;B)+(k+(a-d)B+dx)(x&gt;B) How do I write it in the rq() function? Do I need to define the parameters in any way and how do I do that? I'm a biologist new to R. Thanks! -- View this message in context:

...inal 's', and "Tierney, without "i". # Data for books: books <- data.frame( surname = I(c("Tukey", "Venables", "Tierney", "Ripley", "Rippley", "McNeil", "R Core")), title = c("Exploratory Data Analysis", "Modern Applied Statistics ...", "LISP-STAT", "Spatial Statistics", "Stochastic Simulation", "Interactive Data Analysis", "An Introduction to R"),...

...under an earlier version of R but is broken now. Do any of you use this package for interactive presentation graphics? Or, what are some good alternative libraries? I've played around a bit with 'iplots' and RStudio's 'manipulate' library, but those are really geared for exploratory analysis. I'm looking for something geared toward presentation, for example, on a web page. A good "hello,world" I want to accomplish would be a time series with 2 or more line graphs that the viewer can choose between with radio buttons or checkboxes.Thanks in advance! The error I...

...topTable(fit, number = 10, adjust = "BH", fit$Name) I guess any of these options (fdr, BH, etc.) is using a default of FDR=0.05 which is quite conservative (i.e., very likely none of the tested genes will be ranked as differentially expressed at 5% FDR). I would argue that for an exploratory study it would be okay to use a 0.05 < FDR <0.20. So, I was wondering if we can change that default of FDR=0.0.5 with a less stringent FDR value (0.10, 0.20, etc.) in the "topTable" function. How do I change it? Thanks a lot for the help on the use of "topTable" funct...

...: Error: Object "smooth.spline" not found With the command library() I have checked or the libraries for the smoothing functions are there, as shown below. -------- > library() Packages in library `/usr/local/lib/R/library': base The R base package ctest Classical Tests eda Exploratory Data Analysis lqs Resistant Regression and Covariance Estimation modreg Modern Regression: Smoothing and Local Methods mva Classical Multivariate Analysis nls Nonlinear regression splines Regression Spline Functions and Classes stepfun Step Functions, including Empirical Distributions tcltk...

...tem: Advanced Programming. (7) R/S-PLUS Graphics: Essentials. (8) R/S-PLUS Graphics for SAS Users (9) R/S-PLUS Graphical Techniques for Marketing Research. (10) Multivariate Statistical Methods in R/S-PLUS: Practical Research Applications (11) Introduction to Applied Econometrics with R/S-PLUS (12) Exploratory Analysis for Large and Complex Problems in R/S-PLUS (13) Determining Power and Sample Size Using R/S-PLUS. (14) R/S-PLUS: Data Preparation for Data Mining (15) Data Cleaning Techniques in R/S-PLUS (16) R/S-PLUS: Applied Clustering Techniques More on website http://www.xlsolutions-corp.com/rplus....