similar to: Weighted Sensitivity, PPV etc.

Hi, I have two sets of sensitivity, specificity, positive predictive value, and negative predictive value, and accuracy from two tests on the same subjects. Is there an R package that does such paired comparisons? Thanks, Gang Chen

Hopkinton, MA. Business Analyst Pay rate 40.00 Candidate must be local or commuting distance. Client will ONLY do a face to face interview The successful candidate will work with the IT Marketing Portfolio and Project Management Group. REQUIRED SKILLS *Experience with web design projects, social media, working with offshore teams and a background in Marketing are highly desirable.*

Dear all Seems that puzzles always come in packs. I was asked to help with some statistics in blood analysis. (You can not refuse your wife's asks :-). She has contingency table for values IgVH mutation and ZAP expression. I can do chi-square test (in R) and get a results, and with some literature I can try explain them. However she found an article in which they use SPSS and use

I am trying to replace a spreadsheet model of a project justification with an R script. I can't seem to track down R functions to calculate Internal Rate of Return and NPV? Am I missing something? NPV doesn't seem so difficult to calculate (at least for a regular series) but I am struggling to identify how to solve for IRR in R. It would be sufficient if it worked for a regular

R Version 2.2.0 Platform: Windows When I use barplot but select a ylim value greater than zero, the graph is distorted. The bars extend below the bottom of the graph. For instance the command produces a problematic graph. barplot(c(200,300,250,350),ylim=c(150,400)) Any help would be appreciated. Paul [[alternative HTML version deleted]]

We have been using Least Angle Regression (lars) to help identify predictors in models where the outcome is continuous. To do so we have been relying on the lars package. Theoretically, it should be possible to use the lars procedure within a general linear model (glm) framework - we are particular interested in a logistic regression model. Does anyone have examples of using lars with logistic

David, I guess I'm a little confused here. Are you asking me to provide a "pencil copy" of an LOA for your review? I don't understand why you need an LOA from us. We need an LOA from you to order circuits that will be billed to us that will be attached to your CFA. It was also my understanding that you had an LOA ready to be given to us, which had already been reviewed by

Looking for help with the following problem. Given a sample of zeros and ones, for example: > VECTOR1<-rep(c(1,0),c(15,10)) > VECTOR1 [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 How would I create a new sample (VECTOR2) also containing zeros and ones, in which the phi-coefficient between the two sample vectors was drawn from a population with a known

Hello dear list members I am not an experienced user of Samba, so I can be committing some basic mistake, but it seems to me that there is something wrong with the way Samba propagates ACLs. I tried versions 3.0.32 and 3.2.4 and the result is the same. This happens with "map acl inherit = yes" on smb.conf. I have a directory (dir) with the following ACLs: # file: dir USER Admin

Newsgroup members, I appreciate the help on this topic. David Duffy provided a solution (below) that was quite helpful, and came close to what I needed. It did a great job creating two vectors of dichotomous variables with a known correlation (what I referred to as a phi-coefficient). My situation is a bit more complicated and I'm not sure it is easily solved. The problem is that I must

Hey! How do I get the confusion matrix after performing 10-fold cross validation from SVM in R? When I try to print it, I get the confusion matrix without cross validation. I need to compute PPV. Should I report PPV without CV and total accuracy with CV? I am confused. > svmtrain <- svm(xtrain,ytrain,kernel="sigmoid",cross=10) > pred <- predict(svmtrain, xtrain) >

I'm having a problem here I'm not sure how to solve, so I hope someone else have done the same (and succeeded :) I have an old smb server ('tux') which is ancient (both in software and hardware) and can't handle the load. This machine is running version 2.2.3a-14.1 (Debian GNU/Linux woody) with 'character set = ISO8859-1'. The new smb server ('bella') runs

Dear Mr Peter Dalgaard and Mr Dieter Menne, I sincerely thank you for helping me out with my problem. The thing is taht I already have calculated SENS = Gg / (Gg + Bg) = 89.97% and SPEC = Bb / (Bb + Gb) = 74.38%. Now I have values of SENS and SPEC, which are absolute in nature. My question was how do I interpret these absolue values. How does these values help me to find out wheher my model is

Newsgroup members, Does anyone have a clever way to simulate a correlation matrix such that each column contains dichotomous variables (0,1) and where each column has different prevalence rates. For instance, I would like to simulate the following correlation matrix: > CORMAT[1:4,1:4] PUREPT PTCUT2 PHQCUT2T ALCCUTT2 PUREPT 1.0000000 0.5141552 0.1913139 0.1917923 PTCUT2

Recently, I was working with some lagged designs where a vector of observations at one time was used to predict a vector of observations at another time using a lag 1 design. In the work, I noticed a lot of negative correlations, so I ran a simple simulation with 2 matched points. The crude simulation example below shows that the correlation can be -1 or +1, but interestingly if you do this

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I suspect that the gold layer on edge connectors 30-odd years ago was a lot thicker than on modern cards. We are talking contacts on 0.1" spacing not some modern 1/10 of a knat's whisker. (Off topic) I also remember seeing engineers determine which memory chip was at fault and replacing the chip using a soldering iron. Try that on a DIMM!

Hi, all, My objective is to split a dataframe named "cmbine" according to the value of "classes". After the split, I will take the first instance from each class and bin them into a new dataframe, "df1". In the 2nd iteration, I will take the 2nd available instance and bin them into another new dataframe, "df2". >cmbine$names apple tiger pencil chicken

Hello, fellow R-users. Let me describe the setup first. I have a data.frame, a sample of which is reported below: Company.Name Periods Returns MFR.Factor 350 Wartsila Oyj A 1996-07-31 6.82 0.02 351 Custodia Holding AG 1996-07-31 4.15 -0.02 352 Wartsila Oyj 1996-07-31 7.73 0.09 353 GEA Group AG

This patch adds para-virtualization support to the queue spinlock in the same way as was done in the PV ticket lock code. In essence, the lock waiters will spin for a specified number of times (QSPIN_THRESHOLD = 2^14) and then halted itself. The queue head waiter will spins 2*QSPIN_THRESHOLD times before halting itself. When it has spinned QSPIN_THRESHOLD times, the queue head will assume that the

I ordered the Limited Edition Diamond Collector's Set,because I'm a big Disney dvd (http://www.seriesonsale.com/DVDs/Walt-Disney-s-100-Years-Of-Magic-164-Discs-DVD-Box-Set-24.html)fan. I was blown away by how nice the set really is. The box is lined in velvet with gold embossments. The lithographs are of pencil animation, so you get to see all of the animator's original pencil lines.