similar to: Factor Analysis?

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

> -----Original Message----- > From: Renato Golin [mailto:renato.golin at linaro.org] > Sent: Friday, July 01, 2016 2:52 PM > To: Daniel Berlin > Cc: Robinson, Paul; llvm-dev; LLDB; cfe-dev at lists.llvm.org; openmp-dev > (openmp-dev at lists.llvm.org); Rafael Espíndola > Subject: Re: [lldb-dev] [cfe-dev] [llvm-dev] FYI: Landing the initial > draft for an LLVM Code of

On 4 Jul 2016, at 12:27, Renato Golin via Openmp-dev <openmp-dev at lists.llvm.org> wrote: > > On 4 July 2016 at 00:42, Robinson, Paul <paul.robinson at sony.com> wrote: >> Daniel claimed it was not different, even though he proposed the text. >> I think it is better, as "egregious" (even though it is qualitative) >> helps identify what

For psychologists like me (possibly for others) by far the most time-consuming detail is variable labels. I need them for just about every analysis I do. We can use special packages like Hmisc and its function spss.get to import the labels, but then nearly all the other packages don't respect the labels, even simple things like list. So I find myself either adding them back in at every step or

On Oct 5, 2015, at 6:31 PM, Uwe Ligges <ligges at statistik.tu-dortmund.de> wrote: > > > On 05.10.2015 23:47, Andrew Robinson wrote: >> As a fourth option, I wonder if the first author could fork the package? >> >> Presumably, appropriately cited, a fork is permitted by the license under >> which it was released. Then the original package, by both

Dear R fans ( and wiki fans), I am just writing a draft to introduce confidence intervals of various "effect sizes" to my students. Surely, I'll recommend the package MBESS in R. Currently, it means I have to recommend R's interface at first. As a statistics teacher in a dept of psychology, I often have to reply why not to teach SPSS. Psychologists and their students hate to

I know that this is not the appropriate place :). You know someone can alternative to gluserfs ?:) -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://supercolony.gluster.org/pipermail/gluster-users/attachments/20090107/63b68a0d/attachment.html>

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

Hello, after searching through the archives and not finding a thread that answers this question, I thought I'd pass it on to the list. Given a data frame and given a factor variable that assigns a class to each case in the data frame, what is the most efficient way to sample a given number of cases from each class? I've found a roundabout solution that works as follows: for each class:

What unmitigated bullshit. Your attempt at logic is laughable. You hold up threadbare stereotypes as the norm, when in reality they are little more than characters straight out of Central Casting. The "genius hermit who can't associate with people" is dumb and false. It's meant to excuse behavior that is unacceptable, when in reality a person who cannot interact with people is

Dear list, I use Sweave almost exclusively for writing papers, and I have become quite spoiled by the excellent xtable export facilities. Has anybody written an xtable method for the Anova function in CAR, or has anybody used a different set of functions to import Anova results into a table in an Sweave document? If not, any handy hints on how to write a good homebrew based on the output of Anova

Hi - I am confronting a situation where I have a set of structural equation and one or two of my responses are multinomial. I understand that sem would not deal with the unordered response. So I am thinking of the following two ways: 1. Expanding my response to a new set of binary variables corresponding to each label of my multinomial response. Then use each of these as a separate response in my

Faraway's book titled "Practical Regression and Anova using R", with full text available online at: http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf refers to a data set, stat500, which compares midterm and final grades. It can be used to illustrate similar concepts. A google search for faraway.zip will locate the actual data. --- Date: Sun, 15 Feb 2004 10:37:08 -0800

Hi, first of all: I'm not only new to R, but also to S. I hope this is the right forum for asking the following very stupid questions: a) is there a straightforward way of saying for all factors f in a data frame { any old function, e.g. max(f) } b) how can you construct a new data frame d' from a given data frame d which contains only rows with [X=="A"] (x is

Dear Members, Even though Gluster team is growing at a steady phase, our aggressive development schedule out phases our resources. We need to expand and also maintain a 1:1 developer / QA engineer ratio. Our major development focus in the next 8 months will be towards: * Large scale regression tests (24/7/365) * Web based monitoring and management * Hot upgrade/add/remove of storage nodes

I've got a list of 5 matrices that are each 5 x 6. I'd like to end up with a 5 x 6 matrix that contains the mean value of the 5 original matrices. I can do this by brute force, but there must be a better way than making each matrix into a vector and then remaking a matrix thanks very much for any help david freedman ll=list(structure(c(9.7, 17.6, 20.8, 24.1, 33.8, 14.5, 25.7, 29.8,

Hi - I'd like to have the area between 2 lines on a x-y plot be filled with grey, but I haven't had any luck using polygon or rect. (In reality, I'd like to do this for twice - once for a low group and once for a high group - and then I'd like to plot a set of data points for a 'normal' group together with these 2 grey areas.) Here's a simple example of the 2 lines:

Hi, This is more of a general stat question. I am looking for a easily computable measure of a distance between two empirical distributions. Say I have two samples x and y drawn from X and Y. I want to compute a statistics rho(x,y) which is zero if X = Y and grows as X and Y become less similar. Kullback-Leibler distance is the most "official" choice, however it needs estimation of

Hi - I apologize for the 2nd post, but I think my question from a few weeks ago may have been overlooked on a Friday afternoon. I might be missing something very obvious, but is it widely known that the aggregate function handles missing values differently depending if a data frame or a formula is the first argument ? For example, (d<- data.frame(sex=rep(0:1,each=3),