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Hello, I would like to post the below position on your site. Thanks, Quantitative Analyst/Quantitative Developer MSIM Global Risk & Analysis, Quantitative Research & Model Review group Morgan Stanley Investment Management (MSIM), together with its investment advisory affiliates, has more than 680 investment professionals around the world and approximately $279 billion in assets under

Hi All, I am looking for an expert R programmer who has also used Java or C++ and who is educated at either masters or PhD level. I do not mind what industry background you are in if you have these skills. I am offering a rare but excellent career opportunity to work with real time trading data sets, data modeling and data mining the commodities index to help this top 5 investment banks

We are currently in the process of developing and expanding our quantitative analytics function. Led by commitment from the Head of Global Markets and senior management across all asset classes, the function was centralised in June with the view that the quantitative analytics platform should be omnipresent and part of the decision making process throughout the bank. As a result the focus and

Hi everyone, Does anybody knows if there is an equivalent R function that gives the same outcome as in "Explore" function in SPSS ? (Analize->Descriptive Statistics->Explore) It does a categorical vs quantitative variables analysis. ( But not linear regression) I need to compare intragroup (categorical variable with 4 values) means and confidence intervals of a quantitative

Hillary, Richard M wrote: > Morning chaps, I have a little question for your capable minds... Say > I have an observed and predicted set of quants (in my case, length > frequencies by year and age/length), is there a way to use lattice > plots to plot the observed and predicted data together, panel by panel? > Obrigado/gracias (thankyou in Galego is?...) > Rich Hi Richard, If

Hillary, Richard M wrote: > Morning chaps, I have a little question for your capable minds... Say > I have an observed and predicted set of quants (in my case, length > frequencies by year and age/length), is there a way to use lattice > plots to plot the observed and predicted data together, panel by panel? > Obrigado/gracias (thankyou in Galego is?...) > Rich Hi Richard, If

Hi all, Please recommend good books for the following three categories. (I am aim at finance, macroeconomics, trading and business applications). (1) statistical (financial) data analysis; (2) time series; (3) econometrics. More specifically, I am looking for the following two types of books: (1) Books that provide big pictures and intuitions and books that connect dots... For example, there

Hi -- I'm working with a number of finance companies in New York City and Chicago which are looking to develop languages and platforms in order to process extremely large datasets. As such, we are looking for people with experience and / or interest in programming language and compiler design -- hence my posting on the LLVM mailing list. Goldman Sachs most famously developed Slang and

Dear R colleagues, I am trying to plot some geophysical data as a filled contour on a continent map and so far the guidance from the R-help archives has been invaluable. The only bit that still eludes me is the colour key (legend) coming with filled.contour: I prefer to generate my own colour palette, mainly based on the quantiles of tenths of the data in order to capture the whole range (of

Could I have some suggestions as to how (various ways) I can display my confidence interval results? rm(list = ls()) set.seed(1) func <- function(d,t,beta,lambda,alpha,p.gamma,delta,B){ d <- c(5,1,5,14,3,19,1,1,4,22) t <- c(94.32,15.72,62.88,125.76,5.24,31.44,1.048,1.048,2.096,10.48) post <- matrix(0, nrow = 11, ncol = B) theta <- c(lambda,beta) beta.hat <- 2.471546 for(j

Happy New Year I recognize this is a low priority issue, but... I'll fix it if you let me. There are some TABs where R style calls for 4 spaces. For example R-3.0.2/src/library/stats/R/dummy.coef.R. I never noticed this until today, when I was stranded on a deserted island with only the R source code and a Swiss Army knife (vi). Now I realize my ~.vimrc has tabstop set at 2, and it makes

Hi, I am mediocre at R, maybe 1000 hours experience, but I received an 8GB dataset and I don't know what to do with it. I have to do extensive analysis over it for my Honours thesis. I can't even import it. I've tried; - Splitting it up using the free csv-splitter-1.1.zip that seems to be working for everyone else (it doesn't work for me, it just outputs 1 single line). -

HI all, I'm new to R. Say I have a multi-layered list called newlist. ############ > str(newlist) List of 2 $ :List of 5 ..$ : num [1:8088] NA 464 482 535 557 ... ..$ : num [1:8088, 1:2] NA 464 482 535 557 ... ..$ : num [1:8088, 1:3] NA 464 482 535 557 ... ..$ : num [1:8088, 1:4] NA 464 482 535 557 ... ..$ : num [1:8088, 1:5] NA 464 482 535 557 ... $ :List of 3 ..$ : num

Hello, I'm a R newcomer and I'm wondering the kind of data structure that would best fit to my problem: my data are equities (stocks) : so I have a time serie (say 1 year of weekly data), and a bunch of qualitative + quantitative variables : the sector of the stock (biotech/finance...), the geographical region, the name, ISIN code, P/E ratios, whatever... The data.frame is perfect for the

I was recently browsing through CRAN's Finance task view to remind myself of the publicly available packages relevant to my work. As the reference manuals are all online, I am able to flip through the available functions to get an idea of the package's scope before downloading. That said, many authors have taken the time to additionally provide a useful vignette which provides a better

Hi, R newb here. I've coded a function that inputs N dimensional array(s) [or class=numeric if it's dim=1] of coefficients and tstats, where dim(coef_matrix)=dim(tstat_matrix), it will then output a same dimension matrix of coefficients pasted to tstats in brackets pasted to significance stars. If I go straight to the code INSIDE the function, it works 100% as it's supposed to. The

Forgive me if I'm posting to the wrong place....It's my first time posting. Here's the situation: I'm using the sem package and making path diagrams using path.diagrams. Suppose I have the following code: #install.packages("ggm") require(ggm) cor = rcorr(7) nm = c("SOF", "IWF", "PWF", "FSC", "FSF", "EF",

Hy, I had a mistake on a function of a package i have created! I have solved it and then i repackaged and installed the modified package. I use to launch R from Excel! And so when i launch R, and next call my function from the workspace, i still find the problem on my function. And when i read on my workspace, the source code of my function, i find the old version of my function (the one from the

Hi Duncan, > Didn't you post the same question yesterday? Perhaps nobody answered > because your question is unanswerable. sorry, I got a email that my message was waiting for approval and when I look at the forum I didn't see my message and this is why I sent it again and this time I did check that the format of my message was text only. Sorry for the noise. > You need to

Hi, I am studying using SVM functions of e1071 package to do prediction, and I found during the training data are "factor" type, then svm.predict() can predict data directly by categories; but if response variables are "numerical", the predicted value from svm will be continuous quantitative numbers, then how can I connect these quantitative numbers to categories? (for