similar to: Packages with functionality related to Oil/Gas exploration

Folks, I want to scrape a series of web-page sources for strings like the following: "/en/Ships/A-8605507.html" "/en/Ships/Aalborg-8122830.html" which appear in an href inside an <a> tag inside a <div> tag inside a table. In fact all I want is the (exactly) 7-digit number before ".html". The good news is that as far as I can tell the the <a>

I hope the subject says it all. I want to be able to use an lm object and the associated coefficients to create function that can produce "expected" "y" values given inputs. Thanks, KW -- [[alternative HTML version deleted]]

Folks, Sorry for butting in here. I ran the code from John Kane below and it worked fine. I did however get a deprecation message suggesting the use of ggpairs from the GGally package to make this chart. Unfortunately I haven't found the correct incantation to get the diagonal to display the density plots using the "diag" parameter. Any suggestions? Just trying to learn,

A port of R to iOS? Thanks for your time, KW -- [[alternative HTML version deleted]]

Folks, I have a data frame with columns 200401, 200402, ..., 201207, 201208. These represent years/months. What would be the best way to sum these columns by year? What about by quarter? Thanks for your time, KW -- [[alternative HTML version deleted]]

Folks, I am working on a credit card defaults and transition probabilities. For example a single credit card account could be in a number of states: up-to-date, 30, 60, 90 days in arrears or in default. * Are there packages in R that do estimation of the transition probabilities given historical cohort defaults? * Any pointers to papers specific to this type of estimation? * Simulation of future

Folks, I have Googled but not found much regarding arrayInd aside from the "which" help page. Any good examples or docs on what arrayInd does that is better or different from which()? In addition take the following 20x10 matrix: td<-structure(c(1, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 4, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 1, 6, 6, 6, 6, 6, 6, 6, 1, 6, 6, 6, 6,

Folks, This question is somewhat related to a previous posting of mine. I just can't seem to create a generic solution. Here is a function that I found searching around the internet: splitIt <- function(x, n) {split(x, sort(rank(x) %% n))} I use it like so: > splitIt(1:12, 2) $`0` [1] 1 2 3 4 5 6 $`1` [1] 7 8 9 10 11 12 Or > splitIt(1:12, 4) $`0` [1] 1 2 3 $`1` [1] 4 5 6

Folks, I have a small dataset of counts of recoveries on defaulted loans: recoveries<-structure(c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0, 0, 0, 0, 4, 0, 1, 2, 2, 12), .Dim = c(11L, 2L), .Dimnames = list( NULL, c("pcts", "counts"))) Here is the data in columnar form: pcts counts [1,] 0.0 0 [2,] 0.1 0 [3,] 0.2 0 [4,] 0.3

Folks, I just upgraded my Mac to Mountain Lion and on running R.app I get the following message: mach_override: some instructions unknown! Need to update mach_override.c err = f8000001 /Volumes/Haxdisk/Projects/DefaultFolderX/DFCarbonPatch/../../Libraries/mach_star-1.2-intel-0.3/mach_override/mach_override.c:215 err = f8000001

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Folks, I call the function calcAmorts like so: calcAmorts(prevAm, amort, myDates) Note that I use the package lubridate. The last line where do.call is called to first divide all the rows by the first row and then rbind gives the following error: Error in do.call("rbind", apply(amortsByYears, 1, "/", amortsByYears[, : second argument must be a list By contrast if

Folks, I want to automate some graphing using ggplot. Here is my code graphChargeOffs2<-function(coffs) { ggplot(coffs, aes(levels)) dataNames<-names(coffs)[!names(coffs) == "levels"] for(i in dataNames) { thisData<-coffs[[i]] last_plot() + geom_line(aes(y = thisData, colour = i)) } last_plot() + ylab("Total Chargeoffs") } coffs is a data.frame.

Dear all, I want to draw ticks on the 3rd and 4th row of a lattice. How do I do this ? In my search of the help, I discovered a parameter alternating,which kind of says where the ticks will be but does not suffice for me. I am running this command : - barchart(X03/1000~time|Company, data=df1[which(df1$time!=1),], horiz=F,

>> The tomshardware-guys (no gals would do this...) have removed the >> fans, and immersed the innards of the computer in a sealed cabinet >> filled with cooking oil. So they have a completely silent machine >> in 40C warm oil. Amazing... It certainly is. And, I suppose, this will work, for a while, as long as: The "sealed cabinet", has enough expansion

The first thing to do in tuesday is to get in on EQTD. It will SOAR up next week. There will be more than 100% appreciation within the first few hours, so do it without delay. With oil markets retreating, big traders are turning to gold, driving it to levels never before seen. EQTD has made an advertisement of staggering proportions related to a recent survey on one of their gold properties.

The first thing to do in tuesday is to get in on EQTD. It will SOAR up next week. There will be more than 100% appreciation within the first few hours, so do it without delay. With oil markets retreating, big traders are turning to gold, driving it to levels never before seen. EQTD has made an advertisement of staggering proportions related to a recent survey on one of their gold properties.

Dear group, I have these 2 following data frame: allcon <- structure(list(DESCRIPTION = structure(1:17, .Label = c("COFFEE C Jul/10", "COPPER May/10", "CORN Jul/10", "CORN May/10", "COTTON NO.2 Jul/10", "CRUDE OIL miNY May/10", "GOLD Jun/10", "HENRY HUB NATURAL GAS May/10", "ROBUSTA COFFEE (10)

Dear All, I have a time series daily data with date are stored ( %dd-%mm-%yy format ) from 22-01-20 to 03-08-21. In total I have 560 observations. I am using the following command to declare as a time series object. Here the the data set is 7 days a week. oil <- read_xlsx("crudefinal.xlsx") pricet=ts(oil$price, start = c(2020, 22), freq = 365)

I have spent hours on R in Windows 7. Just installed 2 days ago so the R package should be current. Currently I am using the RGui (64-bit) for Windows. I can not read an Excel file into R from my computer. Have hours on this. Completely crazy!! I have the XLConnect package loaded. I think it is loaded because when I enter: > loadedNamespaces() [1] "base"