similar to: Re: [R-sig-finance] dates and times on Windows for fMetrics

Hello, I must be doing something wrong that's very obvious. But I just don't see it. I changed my Windows Time Zone to GMT and my Financial Center to Montreal. But I still get several warnings. >Sys.timezone() [1] "GMT Daylight Time" >myFinCenter [1] "Montreal" >Sys.timeDate() [1] "Montreal" [1] [2005-04-19 10:55:02] Warning messages: 1: Set

For a model I am working on, I have samples organized by year and week of the year. For this model, the data (year and week) comes from the basic sample data, but I require a value representing the amount of time since the sample was taken (actually, for the purpose of the model, it is sufficient to use the number of weeks from the middle of the sample week to the present). What I have found so

How can I get a single attribute value of an object ? I jhave the tiemSeries object > ts1 Open 2003-10-09 02:00:00 1.27 2003-10-10 02:00:00 1.25 2003-10-13 02:00:00 1.27 2003-10-14 02:00:00 1.29 When I unclass ts1 I get: > unclass(ts1) list() attr(,"Data") Open 2003-10-09 02:00:00 1.27 2003-10-10 02:00:00 1.25 2003-10-13 02:00:00 1.27

Hi R users: When I try to merge or bind (cbind or rbind) two series, both with a "FinCenter" different that GMT, the result is "GMT" not the original financial center? What am I doing wrong? ###################################################### require(timeSeries) getRmetricsOptions("myFinCenter") setRmetricsOptions(myFinCenter = "America/Bogota")

Folks, I have three dataframes storing some information about two currency pairs, as follows: R> a EUR-USD NOK-SEK 1.23 1.33 1.22 1.43 1.26 1.42 1.24 1.50 1.21 1.36 1.26 1.60 1.29 1.44 1.25 1.36 1.27 1.39 1.23 1.48 1.22 1.26 1.24 1.29 1.27 1.57 1.21 1.55 1.23 1.35 1.25 1.41 1.25 1.30 1.23 1.11 1.28 1.37 1.27 1.23 R> b EUR-USD NOK-SEK 1.23 1.22 1.21 1.36 1.28 1.61 1.23 1.34 1.21 1.22

Hi, I am currently writing code to input a few thousand files, run them through the Random Forests package, and then output corresponding results. When I use the code below: zz<-textConnection("ex.lm.out", "w") sink(zz)

Hello, Sorry if anyone gets this message twice, as my mailserver may not be working. Thanks for your response. Your idea makes a lot of sense to me, but I've been unable to get seconds to work. I ended up with this format finally: "2007-10-31_16:20:22" Problem is I am unable to get it recognized as a date using timeDate(): R>

aa <- (structure(list(X.0.85 = c(-1.02, -1.17, -1.29, -1.39, -1.46, -1.5, -1.52, -1.5, -1.46, -1.39, -1.3, -1.19, -1.07, -0.93, -0.79, -0.65, -0.5, -0.36, -0.22, -0.08, 0.05, 0.18, 0.3, 0.41, 0.52, 0.62, 0.72, 0.81, 0.89, 0.98, 1.05, 1.13, 1.19, 1.25, 1.29, 1.31, 1.31, 1.29, 1.24, 1.16, 1.06, 0.93, 0.77, 0.58, 0.38, 0.16, -0.07, -0.31, -0.89, -1.05, -1.19, -1.31, -1.41, -1.47, -1.51, -1.51,

Hi folks, Suppose I create the character vector charvec by > charvec<-c("a1.b1","a2.b2") > charvec [1] "a1.b1" "a2.b2" and then I use strsplit on charvec as follows: > splitlist<-strsplit(charvec,split=".",fixed=TRUE) > splitlist [[1]] [1] "a1" "b1" [[2]] [1] "a2" "b2" I was wondering

I am trying to run a partialPlot with Random Forest (as I have done many times before). First I run my forest... Cell is a 6 level factor that is the dependent variable - all other variables are predictors, most of these are factors as well. predCell<-randomForest(x=tempdata[-match("Cell",names(tempdata))],y=tempdata$Cell,importance=T) Then I try my partial plot to look at the

I have a dataFrame variable: L1 L2 L3 ... v1 v2 ... 1 2 3 4 ... I want to process subsets of it as defined by combinations of L1-L2-L3. I do it successfully using nested loops: for (i in valuesOfL1 { for (j in valuesOfL2) { for (k in valuesOfL3) { tempData <- subset(dataFrame, (L1 == i & L2 == j & L3 == k, select=c(v1,v2) )) if

Dear All, wonder if you have some thoughts on running the with() function (and perhaps including the pool() function to get the results?) in glmulti? In other words, how to run glmulti with a data set that is produced by mice()? publicly available code: data <- airquality data[4:10,3] <- rep(NA,7) data[1:5,4] <- NA data <- data[-c(5,6)] library(mice) library(glmulti) the following

I wasn't even aware I was using midnightStandard. You won't find it in my script. Here is the relevant loop: date1 = timeDate(charvec = Sys.Date(), format = "%Y-%m-%d") date1 dow = 3; for (i in 1:length(V4) ) { x = read.csv(as.character(V4[[i]]), header = FALSE, na.strings=""); y = x[,1]; year = V2[[i]]; week = V3[[i]]; dtstr =

Hi : I have old Splus code that I am trying to turn into R ( I am using windows Xp and R 2.20 ) and I am getting a warning from one of my statements because the behavior of R is different from Splus. below, tempdata is a matrix of numbers and I have the following command which basically runs through the columns and returns the minimum index of the column where an NA occurs.

Hi folks. This set of code used to work, but after upgrading to the latest version of Rmetrics it no longer does. Any ideas? SP500<-read.table("SP500.csv",header=TRUE,sep=",") > head(SP500) Date Open High Low Close Volume Close2 1 8/4/2006 1280.26 1292.92 1273.82 1279.40 2530970112 1279.40 2 8/3/2006 1278.22 1283.96 1271.25 1280.27

hi everyone : i'm not sure if my previous mail about this got sent. i was typing and erroneosuyl hit a button and lost what i was typing. anyway, i have the code below ( it works ) in which i run through the rows of a dataframe, taking out the first two fields which are characters strings ( with some extra spacing so i yuse gsub) and appending these character strings to a list so that i can

Hi. I?m trying to use the speex library in c#, everything seems to works right, when I call the speex_encode_int function it always return 0, any help would be appreciated. Here?s the sequence of calls: //Initialization _Mode = speex_lib_get_mode(0); _State = speex_encoder_init(_Mode); fixed (int* __FrameSize = &_FrameSize, __Complexity =

I have many "sample" datasets (e.g. sample 5, sample 6, etc), each identified by a number as a suffix. These datasets are saved as individual R objects on my hard drive. (e.g."Wind.5.r" . "Wind.6.r","Solar.5.r","Solar.6.r") For example purposes, I have written code that creates similar data files using the "airquality" dataset. (see

I've a matrix like this: 1985 1.38 1.27 1.84 2.10 0.59 3.47 1986 1.05 1.13 1.21 1.54 0.21 2.14 1987 1.33 1.21 1.77 1.44 0.27 2.85 1988 1.86 1.06 2.33 2.14 0.55 1.40 1989 2.10 0.65 2.74 2.43 1.19 1.45 1990 1.55 0.00 1.59 1.94 0.99 2.14 1991 0.92

Hi, Input Format: excel file (XLS) Column 1: Gene ID (alphanumeric) Column 2 - 10 : (numeric data). inData = read.xls ( <fileName>) geneLabel = inData [ , 1] - column 1 stored in geneLabel tempData = inData [ , 2: 10] expValues = data.matrix (tempData) - convert frame into Matrix format expValues has the matrix format needed for analysis. I need to bind gene labels as . I