I agree with Johannes, R is an excellent software.

I agree with Johannes, R is an excellent software.

R soflware !

Love R! Steep learning curve and I cannot hardly say I have gotten the hang of it. But LOVE it when it works like magic : )

I am also sugesting R software because it is very simple and highely useful. There are some other softwares like PSPP, Past, etc. you can also try these softwares.

Dear Friends

Can you please any one tell me how to do population diversity and structure analyses using R. since im new to R im using RKward cross plate form package for windows.

Yes, many people like R. Any other packages people use? Or anyone have experience with any of the GUIs for R?

Also if you have a question about how to do something in R, might want to check out their mailing list

https://stat.ethz.ch/mailman/listinfo/r-help

gene

Edwin : To calculate population diversity, try the "vegan" package. It can calculate most most diversity indexes.

Raymond: Thanks

i gone through the "vegan" package., deal about ecological diversity of taxon. However i would like to do genetic diversity analyses based on molecular data like RAPD RFLP AFLP ISSR and SSR.

I also highly recommend R with RStudio!

Cheers,

Arne

Arne: i tried to install R and Rstudio

But when i tried install Rstudio the error message was appeared.

Can you please tell me their is any priority of installation i.e. Rstudio should instal after R in windows environment.

First, you have to install R, then RStudio. What was the error message?

Arne: i successfully installed Rstudio

sorry i uninstalled before i saw your message, thanks for your timely help

R-commander and R-studio and good GUI's for R software which is a very powerful and constantly improved statistical software. As Arne Henningsen commented R must be installed first,because R is the base software, all GUI's or add ons are simply providing you with a different means of interacting with it. I prefer R-studio, you can run several windows, allowing a list of active/inactive packages and objects/vectors, help windows, and the R-running window. One very useful tool is Rstudio gives you a syntax window, allowing you to write code without having to compute it. The basic drop down windows are also very useful, especially when firstly learning the R language. However, I have run into trouble when running larger and more complex calculations in Rstudio. In these cases, I had to cut and paste the code into the original R script windows in order to get them to run without issues.

SAS or R software is okay

R with Rcmdr, forget about SAS and SPSS: you spend 90% of your time solving license issues.

GRETL is not a bad choice http://gretl.sourceforge.net/

You can also use Red R, a visual programming environment for R language.... just try it......

R is the best option and I strongly recommend you to visit the web site R Bloggers

I use R in daily basis. Only problem I find is use of real number in all operations. Real-only store model make R destroy memory for large datasets.

I have just started using R. Initially a bit complicated, but after few days playing with data it starts to be a lot easier. It's free, very powerful and you can use it with different O.S. You can also download different packages for specific statistical analysis. To me is the best statistic software I have ever used. Needs a bit of training though.

SPSS and PRISM IS VERY GOOD

Hi, I am a user of MedCalc statistical software and GraphPad Prism, both are not free of charge, but you may test them for free about one month or so (both retain all functions). MedCalc is very friendly in ROC analysis and meta-analysis, GraphPad is outstanding when you want to prepare figures.

Hi, I had not heard of Red-R until I read it here. Thanks for alerting me to it. I've been using R for a while and like it a lot. However, it's a steep learning curve. There are plenty of manuals around. One excellent source, if you know SAS or SPSS, is Robert Muenchen's book, R for SAS and SPSS users. There are free copies of an abbreviated version of it on-line. The programs, files, etc are available at http://http://r4stats.com/ I strongly recommend this if you know either language.

I have a love-hate relationship to R. I love it because it works and it has all the statistical tools you can dream of, but hate because the language is like being forced to write with my left hand. But I would love to look into this Red R...

I have to agree with the R with RCmndr responses above. I've also, on occasion, used http://econ.la.psu.edu/~hbierens/EASYREG.HTM.

I use R which is a free statistical package, there are many package you can use from it. I use R Studio (also a free software) to write scripts, test code and find help about packages, functions, etc.

Of course R is the best :-)

OpenMx (which is R based) is another package that's useful for structural equation modeling.

Hi,

I would also recommend R, which has become the quasi-standard for social and behavioral science.

For some code-snipplets and other relevant software-tips see: www.surefoss.org

Best Gerrit

+1 for R.

RStudio is a powerful GUI for it,. If you like Emacs, you will enjoy the ESS mode and the babel extension of org-mode for reproducible research.

for sure R is the best, especially if you are interested in methodological issues. the only problem with R is the fact that it cannot deal with huge DBs. but I think there is a new version more powerfull on this side.

Minitab and Excel are good useful for statistical data analysis

Data Analysis in excel is very useful....you have to add it from the options if not yet done. It has the most popular statistical tools

Anyone had experience with sofastats?

You can check it out here:

http://www.sofastatistics.com/home.php

MS-Excel is neither free nor useful for many statistical analyses (see e.g. http://homepage.cs.uiowa.edu/~jcryer/JSMTalk2001.pdf or http://www.burns-stat.com/pages/Tutor/spreadsheet_addiction.html )

R is an excellent software. Universidad Politécnica Territorial del estado Aragua, Departamento de informática, departamento de postgrado

Also i use weka...a nice software

R and only R for programming, writing my own algorithm and of course my love Statistics!

- The BEST Statistical software

Is there any free software for Enzyme kinetics analysis...

R is the best ... i have been using this...

R is the best open-source statistical software around. It provides the most comprehensive set of features and there is a large repository of open-source packages targeted to specific fields (biostats, social sciences) that can easily be imported into the base R package. There is a large community of users to help you along and all the code is always available to adapt methods for your specific needs.

That being said, there is quite a steep learning curve since it's more of a programming language and there is no full featured GUI like a JMP, SPSS or Minitab. However, if you are going to be doing regular statistics work in a particular field and publishing research in academic journals it is worth learning.

Here are some resouces to get you started:

-- RStudio is an open-source IDE (development environment) that can help you get started and make the programming part less intimidating: http://www.rstudio.org

-- Cookbook for R is a nice introduction: http://wiki.stdout.org/rcookbook/

-- There is a large R support community at StackOverflow with a large knowledgebase and R experts provide fast support for any level of questions: http://stackoverflow.com/questions/tagged/r

In my opinion, the evaluation of a software has to be done from a user perspective i.e., depending on the application/use od the software. For methodological purposes, R is as far the best. This is because it considers mathematical objects (matrices, etc) as what they actually are . If you are not interested in methodology but just in application, I would suggest SPSS for simple models and descriptives (nice tables) and STATA or SAS for more complex modeling.

Friends

can i do population diversity analysis using R

>Edwin Raj • UPASI Tea Research Foundation Tea Research Institute

>Friends

>can i do population diversity analysis using R

If you meant an analysis of genetic or morphological variation in a series of populations, then yes; hdpg {ade4} could be used for this.

I have R for the last 4 yrs. Its flexible and reliable in all types of analysis.

Kind attn. Gaétan Moreau

Thanks for the same, im looking into it

I agree withVictor that using R would be more useful for researchers and academics but for simple analysis SPSS would be fine with easy graphical user interface and also STATA and SAS.

I also used R for the analysis of field data on arthropods in biosafety research on genetically engineered maize. It is highly flexible, with lots of possibilities including graphics.

Although R is powerful package, but it seriously needs GUI to get popular.

It would really be wonderful if we can have R with GUI which would be very useful for beginers and early career researchers.

@Sebastian Raschka, Thanks a lot for providing the link to GUI for R. I will definitely download the R Studio and R Commander which looks very interesting.

Thanks to all

I completely agree, R with Rstudio

I agree with Luz.....R is best as of now.

http://www.freestatistics.info/stat.php

This site has many software details to choose from.

Thank you, Arvind. That site is very helpful.

Ya sir, Its a useful package for me and all emerging research group.

R also has an Excel version called R thru Excel. This installs R Commander and also Excel add ins. You can perform most of your analysis just by pointing and clicking. You can also simultaneously program in R Commander and run the analysis. The added advantage with this is that the script for all the analysis you run is given in the R Commander window and you can also modify it. This is also a way to learn programming in R.

@Raveendhara, Can you lease tell me how to configure server because when i install its showing that no server found. so the addins remain hidden.

@Edwin, You need to chose a CRAN server nearest to you based on your location.

Tanagra is a free software of data mining and statistical analysis with an interface like Statistica software.

it was developed in a French university but language is english.

http://eric.univ-lyon2.fr/~ricco/tanagra/fr/tanagra.html

As every one I use R, but if you don't (and want to use something simpler)

The Spread sheet "GNUmerics" comes with a statistical menu interesting including parametric and non parametric test... I havent used it for a while, so I don't know how stats has been add in.... Anyway it may be usefull and deserve attention.... and if it doesn't do anything you wanted.... at least it is a good spreadsheet, quicker than Exell :p

In my teaching, i advocate MyStat, the free student version of SYSTAT. It is very good for most statistics, even logistic regression. The only limit is max 100 variables.

Free and commercial software yield different factor solutions. This a matter of personal interest.

R is a good option but if you want a easy GUI software PSPP is a good option

Let me add another vote for MYSTAT. It is pretty much the previous release (version 12) of SYSTAT, with a limitation of 100 varialbes and some of the high-end statistics deleted, but still more stats than come in the SPSS base. You can find it at www.systat.com

Erik, MicrOsiris is much smaller, faster than MYSTAT (not really relevant unless using many cases, though) and is unlimited in number of variables and cases. It is fairly complete in statistics. (www.microsiris.com).

As an aside, the free Statistical Decision Tree is useful for finding statistics appropriate to the data and where to fine them in a few of the common stat packages.

Erik, I should add that MicroSiris gives you access to IVEware, which is a great (free) package for multiple imputation of missing data. Bob

I have been using R for the last 11 years. It's powerful, flexible and adaptable to most any statistical questions. Its learning curve is not as easy to climb, but is very worthwhile. On the web are available numerous manuals and tutorials. The number of books with examples in R is also quite large and mailing lists are very helpful. I use R Studio as GUI.

I agree with Antonio. Using R Studio helps a great deal. Also, if you want to get into R, there are a number of interest groups which meet regularly and can help with learning. There are also a number of free webinars about it and a number of on-line courses. Yes, it has a step learning curve, but persistence pays.

I use R and I am an R supporter. It is hard at the beginning but you can manage it efficiently little by little.

I would add, as others have, the using R via RStudio is very helpful. It greatly expedites the processes.

One book that I have found very useful is Phil Spector's "Data Manipulation with R." It provides excellent advice about how to best use data with the R language. Although it's wording can sometimes be a bit murky, it is an excellent source for using data with R.

Yes I use R and it is an excellent software.

R is the best! No doubts about it! Some years ago, I had some other softwares in my cpu just to export data to txt format and use it in R, because clients usually don't even know R. But even this is not necessary now a days, because R have packages to import data from almost all software (like package "foreign").

R is all that you need!

I second Sebastian Raschka...The book "R in Action" for beginners. Also I use Gnumeric, GNU PSPP, R studio and Weka

For OLS regression and a few other fancy models, Gretl is a good, and fairly robust programme that I've used for free.

If you want free statistical software R is the best option. However, I found it easier to learn and use EPI Info, SPSS and also STATA. But once you master R, it is a very powerful software.

I would recommend SPSS (It is simple to learn) AND SAS....

R is a fantastic package, free, minimalist, and works everywhere. Additionally you can link it to programs such as LaTeX and OpenOffice. There are also many help sites to add to your understanding above the free texts which accompany the package:

e.g..,

http://rprogramming.net/ - General help and topics

http://www.statmethods.net/ - great online guide and quick help options

Additionally, I would recommend downloading RStudio which will drastically increase its ease of use and power.

https://www.rstudio.com