search for: smallcap

Somebody suggested SmallCap and that sounds great. This is by no stretch of the imagination Capistrano, so it might better be named MicroCap but it may be useful to some who have (as I do) modest needs in this regard, especially for on-server versioning. Here''s a preview of the usage: Usage: ruby smallcap.rb [op...

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I have been running SharpEye under Wine for a few weeks now. There are a couple of problems 1) The fonts don't always appear correct. Sometimes they correctly show as Arial, sometimes as SmallCaps 2) Can't get TWAIN to work - see earlier message 3) The pull down menus display as XMFile etc. instead of File etc. The author of SharpEye says this is a bug in Wine. -Nigel -- Nigel Horne. Arranger, Composer, Typesetter. NJH Music, Barnsley, UK. ICQ#20252325 njh@despammed.com http://www.b...

...th are correct. I normally write in LaTeX, so I normally use {\sc S-Plus}. First, from the literature, the Proprietary Notice on the copyright page of the July 2001 printed edition says {\sc S-Plus} 6 for Windows User's Guide Most of the internal uses of the word in the book are also in smallcaps {\sc S-Plus}. The outside cover does say S-PLUS. The title page says {\sc S-Plus}. Second, by personal discussion, I discussed this spelling with Tim Hesterberg about a year ago. He told me that S-Plus is an appropriate spelling. Third, by gestalt, "S-PLUS" looks like the "PLUS&...

...ed from Rmetrics 3. Why I don't understand this error: Well, I don't know. The constraints seem good since I would be able to construct an equal-weighted portfolio that satisfies all of them (e.g. with 5% in each asset). 4. Reproducible example: library(fPortfolio) # Data data <- SMALLCAP[, 1:20] # Constraints box.1 <- paste0("minW[1:nAssets] = ", 0) box.2 <- paste0("maxW[1:nAssets] = ", 0.10) box.3 <- "maxsumW[1:nAssets] = 1" box.4 <- "minsumW[1:nAssets] = 1" boxConstraints <- c(box.1, box.2, box.3, box.4) # Portfolio Specs S...

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Naming difference in cbind between S-Plus and R. I think R is wrong. abc <- data.frame(y=1:4, x=rnorm(4)) abc.lm <- lm(y ~ x, data=abc) predict.lm(abc.lm, type="terms") ## this is where R got the name "x" abc <- cbind(abc, d=abc$y - predict.lm(abc.lm, type="terms")) abc R gives > abc y x x 1 1 -1.33925477 1.163001 2 2 1.52764505

My needs are far more modest than Capistrano''s capabilities. Also, when working in a shared hosting environment, the Capistrano model can be outside the capabilities allowed by the Web host. I simply need to push selected directories (on a changed-file basis) out to a server. I have about 80% of the code written to do this (I''m considering YAC for the name, with a nod to