similar to: align() function missing in R ?

Hi Folks! I seem to be having a problem with alignDailySeries in Rmetrics: DTB6<-fredSeries("DTB6",frequency = "daily",from = "1980-01-01") trying URL ' http://research.stlouisfed.org/fred2/series/DTB6/downloaddata/DTB6.txt' Content type 'text/plain; charset=UTF-8' length 248392 bytes (242 Kb) opened URL downloaded 242 Kb Read 13060 items

Hi, I am trying to avid the somewhat costly startup overhead of launching a separate R executable for each "client" request on Linux. My current architecture is such that My Java client explicitly calls R in batch mode and passes it certain parameters. The initital startup takes almost 10 seconds because R has to load a bunch of libraries as well as a moderately large, previously

I am attempting to value convertible bonds through a Monte Carlo approach. I want to express call schedules as date-price tuples. Naturally, these tuples need to be expanded to match the frequency of the innovations in the MC process. 1. Is there a straigh-forward way to accomplish this "expansion"? 2. I have noted the existance of ts, its, zoo and fCalendar. Does anyone have an

Dear R users, I have a dataframe where column is has countries, column 2 is dates (monthly) for each countrly, the next 10 columns are my factors where I have measurements for each country and for each date. I have attached a sample of the data in csv format with the data for 3 countries. I would like to convert my monthly data into quarterly data, finding the mean over 3 month periods for

I am using the following command from the Fcalendar Package : x = timeSequence("1992-12-31","1994-12-31") and then y = as.character(x) is a vector of character strings "[1] 1992-12-31" "1993-01-31" "1993-03-03" "1993-03-31" "1993-05-01" etc This is very close to what I need and thank you very much to whomever wrote

Dear R users, I was wondering from where I could get the C source code to compute pnbinom() and qnorm() ? (I would use R in batch mode but I find the startup time prohibitive, unless there is a way to speed it up) I searched the Web and it clearly is part of the R distribution, I just don't know how to extract them. Thanking you ! Markus Loecher Princeton, NJ [[alternative HTML version

The MASS package is listed on the CRAN web site ( http://cran.r-project.org/web/packages/MASS/index.html) but I am unable to install it via install.packages(). The error is that the package is "unavailable". When I manually download the source tar ball and try to install it on a Linux machine, installation fails because "it is not a valid package". Do I need to search

Dear R users, I have been diligently using the apply() family in order to avoid explicit for loops and speed up computation. However, when I finally inspected the source code for apply, it appears that the core computation is a simple loop as well. What am I missing ? Why the often found advice to use apply() instead of loops and the actually observed empirical speedups on many tasks ? Thanks in

gReetings: Is there any way to download a (or a sample of a) crossection of stock market prices? Or is it possible to use get.hist.quote with a *wild card*? Thanks, mihai Mihai Nica 170 East Griffith St. G5 Jackson, MS 39201 601-914-0361 ____________________________________________________________________________________ 8:00? 8:25? 8:40? Find a flick in no time [[alternative HTML

Dear R community, pardon my ignorance but how would you get the source code for"non-visible functions" ? For example, I would like to see and modify the source code for the prompt() function. Thanks! Markus [[alternative HTML version deleted]]

Dear R users, I had somehow expected that read.table() would treat the column specified by the row.names argument as of class character. That seems to be the only sensible class allowed for a column containing row names. However, that does not seem to be the case, as the following example shows: x <- cbind.data.frame(ID = c("010007787048271871", "1007109516820319",

Dear R graphics experts, Do you know of any way of plotting semi-transparent points in R ? I face this problem any time I want to e.g. plot thousands of points that belong to two or three classes which I color code. With the default opaque colors, the plotting order matters and basically the points I plot last completely dominate the picture. I would much rather have the overlaying points

To the R development team; I found an unusual behavior in zoo when I upgraded to R 2.11.0 - it abruptly terminated when I performed certain operations on large zoo objects. I sent an e-mail to Achim Zeileis and he said this was a potential bug that I should report to the R development team. The details are given below in the thread below. Basically, I can crash R with this code: library(zoo)

Dear ggplot2 users, is there an easy/elegant way to suppress zero count bars in histograms with logarithmic y axis ? One (made up) example would be qplot(exp(rnorm(1000))) + geom_histogram(colour = "cornsilk", fill = "darkblue") + scale_x_sqrt() + scale_y_log10() Thanks! Markus [[alternative HTML version deleted]]

Hi there! I'm stuck with a problem aligning financial timeseries and haven't found a cue how to fix it... When I run that simple script, everything goes well until the "align"-command: ------ rm(list=ls()) x <- yahooSeries("^GDAXI") head(x) xAligned <- align(x = x, by = "1d", method = "before", include.weekends = FALSE) ------ Here's

Full_Name: Markus Loecher Version: 1.1.1 OS: Solaris Submission from: (NULL) (129.73.1.1) When trying to install R on a Sun SPARC, make fails in the very end, here is the error message: rbitmap.c:239: parse error before `jmp_buf' rbitmap.c:239: warning: no semicolon at end of struct or union rbitmap.c: In function `my_error_exit': rbitmap.c:257: dereferencing pointer to incomplete type

Dear R users, I am struggling a bit with the converting dates to full POSIX timestamps, in particular, I would like to somehow force the timezone to be local, i.e. the output of as.POSIXct(as.Date("2008-07-01")) should always be equal to "2008-07-01 00:00:00", is that achievable ? I tried to set the origin and the timezone, neither of which seems to make a difference. On my Mac

Dear gbm users, When running predict.gbm() on a "large" dataset (150,000 rows, 300 columns, 500 trees), I notice that the memory used by R grows beyond reasonable limits. My 14GB of RAM are often not sufficient. I am interpreting this as a memory leak since there should be no reason to expand memory needs once the data are loaded and passed to predict.gbm() ? Running R version 2.9.2 on

Dear mixed effects modelers, I seem unable to find a predict method for mer objects in the package lme4. Am I not seeing the forest for the trees ? Any pointer would be very helpful. Thanks, Markus [[alternative HTML version deleted]]

Dear List I just downloaded and installed R 2.12.0 and then installed R Commander . First it got RCmdr and Car, and then suggested for other packages for utilizing the full functionality- I clicked yes! I got 140 packages installed!!! Cran Mirror was UCLA... Here is the list. Is this intentional- I can see some packages like snow and multicore which are desirable but quite optional.(see list