similar to: Deducer 0.1 : An intuitive cross-platform data analysis GUI

Dear R users, Over the past month there have been a number of package updates in the deducer ecosystem. Deducer is a general purpose, extensible, data analysis GUI. It is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. It has a menu system to do common data manipulation and analysis tasks, and an excel-like spreadsheet in which

Dear R users, Over the past month there have been a number of package updates in the deducer ecosystem. Deducer is a general purpose, extensible, data analysis GUI. It is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. It has a menu system to do common data manipulation and analysis tasks, and an excel-like spreadsheet in which

A new version of Deducer (0.4) has been sent to CRAN, and should be propagating to all the mirrors in due course. Also, a new plug-in package (DeducerExtras) has also been released to CRAN, containing additional dialogs and functionality. I would like to take this opportunity to thank the R community for choosing this project for a Google Summer of Code grant, and for the support and

A new version of Deducer (0.4) has been sent to CRAN, and should be propagating to all the mirrors in due course. Also, a new plug-in package (DeducerExtras) has also been released to CRAN, containing additional dialogs and functionality. I would like to take this opportunity to thank the R community for choosing this project for a Google Summer of Code grant, and for the support and

I would like to announce the release of Deducer 0.2-3 and the new package DeducerPlugInExample. ----------------------------------- Deducer is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. It has a menu system to do common data manipulation and analysis tasks, and an excel-like spreadsheet in which to view and edit

I would like to announce the release of Deducer 0.2-3 and the new package DeducerPlugInExample. ----------------------------------- Deducer is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. It has a menu system to do common data manipulation and analysis tasks, and an excel-like spreadsheet in which to view and edit

Announcing a new version of Deducer: Deducer 0.2-1 is an intuitive, cross-platform graphical data analysis system. It uses menus and dialogs to guide the user efficiently through the data manipulation and analysis process, and has an excel like spreadsheet for easy data frame visualization and editing. Deducer works best when used with the Java based R GUI JGR, but the dialogs can be called from

Announcing a new version of Deducer: Deducer 0.2-1 is an intuitive, cross-platform graphical data analysis system. It uses menus and dialogs to guide the user efficiently through the data manipulation and analysis process, and has an excel like spreadsheet for easy data frame visualization and editing. Deducer works best when used with the Java based R GUI JGR, but the dialogs can be called from

Okay, it's pretty alpha, but it is a start. I have published "Markdown," which is a recipe that helps integrate Markdown syntax with PmWiki.[1] My goal is that, when finished, there will be something pretty close to a PHP-based wiki that relies on Markdown syntax. I have been involved with PmWiki for a couple years now. It has matured into a very potent, customizeable wiki engine.

Hi All, I would like to announce the release of Deducer 0.4-1 and JGR 1.7-2 to CRAN. The updates should be propagating through the mirrors over the next few days. On the Deducer side we have a number of nice improvements: 1. A new Text Field Widget for plug-ins is included, which is better suited for entering/displaying numeric and short string fields than TextAreaWidget. 2. A new Object Chooser

Hi All, I would like to announce the release of Deducer 0.4-1 and JGR 1.7-2 to CRAN. The updates should be propagating through the mirrors over the next few days. On the Deducer side we have a number of nice improvements: 1. A new Text Field Widget for plug-ins is included, which is better suited for entering/displaying numeric and short string fields than TextAreaWidget. 2. A new Object Chooser

Is there a way to use Deducer to analyze contingency table data that is only available in a row-by-column summary form (not a data frame)? Thanks. Jim Watkins

I have two macs both running OS 10.6.8. One has JGR 1.7-9 and the other 1.7-11. When I run 'descriptives' from the analysis menu on the same data set on both machines. It runs as expected on 1.7-9 but give the error message in the header in version 1.7-11. Other analysis procedures seem to run fine in both. Whgy? -- View this message in context:

Hi, Please dput() your example dataset. dat1<- read.table(text="a?? a?? a?? a??? a??? b?? b??? b??? c??? c?? c??? c 2? 4??? 5?? 2??? 7??? 2?? 2??? 6??? 3??? 7?? 9??? 3 3? 3?? 4?? 1???? 6??? 8?? 1??? 3??? 5??? 2??? 6??? 3",sep="",header=FALSE,stringsAsFactors=FALSE) library(reshape) ?dat2<-melt(as.data.frame(t(dat1)),id.var="V1")[,-2]

Recently, I ran a series of Kruskal-Wallace tests [kruskal.test()] using by() to group by site Output is a list: >Herb.KW Herb.df$ID: 10-1 Kruskal-Wallis rank sum test data: Indicator_Rating by Year Kruskal-Wallis chi-squared = 15.24, df = 7, p-value = 0.03302 ----------------------------------------------------------------------------------------------------- Herb.df$ID: 18-1

For some small sample sizes I would like to exemplify the combinatorics underlying certain nonparametric tests like Mann-Whitney-Wilcoxon, Kruskal-Wallis and Spearman's rank correlation. I have written a function all.perm which delivers all permutations of 1,2,...,n and which works reasonably well. This can be used to generate P(R=r) of Spearman's rank correlation:

Hi, I am trying to do a kruskal wallis test on two lists, fVisited and cSN: fVisited[[1]] [1] 0.17097623 0.30376141 0.17577266 0.14951855 0.03959753 0.08096217 0.05744888 0.02196257.... .... cSN[[1]] [1] 0.08557303 0.36477791 0.19601252 0.12981040 0.05351320 0.10385542 0.03539577 0.03106175.... So if I just want to do a test on just one of the entries this is simple enough:

Hi everyone, I am working on analyzing spectra which requires hundreds of kruskal wallis tests to be performed. Once significant results are found post tests are performed ect. My questions are: how do I perform all these kw tests and save just the pvalues in a table? Is there anyway to have R automatically perform post tests if a result of p<0.05 is found? Currently when I run the test

I am interested in using "multcompLetters" after running "kruskalmc" but I'm a newbie and I'm not having luck figuring it out. I can run "kruskalmc" just fine, but after studying the documentation for "multcompletters" for a long time, I cannot figure out how to make it work. Any ideas? R input is below > >> #here is my data set >>

Hi, ?kruskal.test() ?a<- c(2,4,5,2,7) ?b<- c(2,2,6) ?c<- c(3,7,9,3) ?kruskal.test(list(a,b,c)) # ?#? Kruskal-Wallis rank sum test # #data:? list(a, b, c) #Kruskal-Wallis chi-squared = 2.003, df = 2, p-value = 0.3673 A.K. Hi I need an expression in R to apply a kruskal.test to this data (for example). a ? a ? a ? a ? ?a ? ?b ? b ? ?b ? ?c ? ?c ? c ? ?c 2 ?4 ? ?5 ? 2 ? ?7 ? ?2 ? 2 ?