similar to: EMA Package

Can somebody help me in finding package/Example in R which could do EMA(Exponential Mean Average). I installed "TTR" package but the 'EMA" function which I was trying to use is giving the following error. Error: Could not find function "EMA" Thanks & Regards, Thomas [[alternative HTML version deleted]]

Hi there I have some timeseries data which I plot in a OHLC Plot. In the same plot I'd like to have the EMA of this timeseries. I tried to add the EMA point to OHLC with lines(), but this doesn't work. Has anyone an idea how to handle it? Regards, Michael Zak

Hi, Just wondering for the SMA and EMA in package TTR, is it possible to me to code it so that, say if I need to calculate SMA (x, n=100), when the sample size is less than 100, it will give me the SMA (x, k) where k is the sample size of the data? Right now it only gives me an invalid n error. Thanks! [[alternative HTML version deleted]]

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Hi, I'm having trouble with quantmod's addTA plotting functions. They seem to work fine when run from the command line. But when run inside a function, only the last one run is visible. Here's an example. test.addTA <- function(from = "2010-06-01") { getSymbols("^GSPC", from = from) GSPC.close <- GSPC[,"GSPC.Close"] GSPC.EMA.3

Full_Name: John P Cavanaugh Version: .99 OS: linux Submission from: (NULL) (24.116.10.99) dataset$ema12 <- EMA (dataset$Close,12) dataset$ema26 <- EMA (dataset$Close,26) dataset$MACD_fast <- dataset$ema26 - dataset$ema12 dataset$MACD_slow <- EMA(dataset$MACD_fast,9) dataset$MACD_hist <- dataset$MACD_fast - dataset$MACD_slow # This line doesnt work!!! But... if I does work if I

(Sorry, sent the message before I finished it) Hello, everyone I have a long script that uses zoo objects. In this script I used simple moving averages and these I can very efficiently calculate with filter() functions. Now, I have to use special "exponential" moving averages, and the only way I could write the code was with a for-loop, which makes everything extremely slow. I don't

  Hi,   The code below does exactly what I want in sequential mode. But, it is slow and I want to run it in parallel mode. I examined some windows version packages (parallel, snow, snowfall,..) but could not solve my specific problem. As far as I understood, either I have to write a new function like sfRollapplyr or I have to change my code in a way that it utilizes lapply, or sapply instead of

Thanks, Writing plot(addTA()) worked fine. I find myself with such mixed feelings about R. After finding that addTA worked fine at the command line but not in a function, I puzzled for a long time about what kind of virtual machine structure could possibly account for that. I couldn't think of any. It turns out that this isn't due to an R virtual machine structure. The reason addTA adds

Hello, everyone I have a long script that uses zoo objects. In this script I used simple moving averages and these I can very efficiently calculate with filter() functions. Now, I have to use special "exponential" moving averages, and the only way I could write the code was with a for-loop, which makes everything extremely slow. I don't know how to optimize the code, but I need to

Hi again, Awfully sorry John, I should have been sleeping and did not see your full post.... here is a way, unless I miss the point again : fake<-as.data.frame(cbind(seq(1,10,by=1),c(rep(1,4),rep(0,4),rep(2,2)))) # from my previous post # one moree column this time ! fake3<-cbind(fake,fake$V2) index<-c(2,3) fake3[,index][fake3[,index]==0]<-NA not nice, but seems to do the job.

Hi list, My attention was drawn to the foreach package by recent posts...I decided to have a look... I'm using R.2.9.1 on Windows, I have downloaded the foreach package today (v 1.2.1), together with iterators (v. 1.0.1) and codetools (v.0.2-2). Full of hope I try the most simple thing of all out of the package vignette : > x <- foreach(i = 1:3) %do% sqrt(i) and get : > Erreur

Hi all. Since I installed SC2 on my Ubuntu 10.04 x86-64 (Phenom II X4 965 BE, 8 GB Ram, nVidia 470 GTX - Driver 260.19.06, USB mic+headphones), I never managed to play at it with Ultra details with more than 12~15 FPS. You could say that the fault is in a slow CPU, bad videocard or lousy sound card (the above USB stuff). But the CPU isn't that bad, the ram quantity is more than enough and

Hi Hadley, thank you for providing this "scagnostics" primer.... I was trying to do some basic testing, and I see that I probably missed some points : first it's not clear for me if the argument of "scagnostics" should be raw data or "processed" data (results of calling "splom" or whatever...). If the first, I thought (from Wilkinson & al.) that if

I have subscribed to this list for about a month now. I am just a MarkDown user; new to it. Using it within *Ema Personal Wiki & Epistle* for Android. I am not trying to implement this cool little light language into an app I am developing; maybe someday. I signed up because I thought I might get some MarkDown use tips. *I have learned nothing from this list.* I have witnessed a lot of

Hi all, I'm trying to build wine with the following command: Code: ./configure CFLAGS="-O2 -fprofile-generate" --prefix=/home/ema/winepf As I have a lot of these errors: Code: gcc -O2 -fprofile-generate -o sfnt2fnt sfnt2fnt.o -L../libs/wine -lwine ../libs/port/libwine_port.a -lfreetype -lz -Wl,--rpath,\$ORIGIN/../libs/wine /usr/bin/ld: sfnt2fnt: hidden symbol

Greetings, Hope you can help, Attached below is a message I sent into the maillist, unfortunately I didnt receive any responses. The issue ... rsync client doesnt return a correct exit status when transferring from rsync daemon. Is this something that you're aware of? Are there any workarounds? Anything I can do to help? Thanks for your time, Todd = Todd Howard

Dear all, I have a problem while working with hourly data of fx rates. I've read from a csv file, the following way: csv-file like: Date,Open,High,Low,Close,Volume 2011-08-11 03:00:00,1.41758,1.42205,1.41625,1.42174,8974 ... 2011-08-12 04:00:00,1.42175,1.42413,1.42067,1.42172,7229 ... 2011-12-30 05:00:00,1.42173,1.42341,1.42062,1.42171,6703 ... raw<-

R Friends, I have data from which I would like to learn a more general (smoothened) trend by applying data smoothing methods. Data points follow a positive stepwise function. | x x | xxxxxxxx xxxxxxxx | x x |xxxx xxx xxxx | xxxxxxxxxxxxxxxxx | |

Hi Does anyone know of any R routines to send emails from R, under Windows? I thought about writing such a facility using the R(D)COM package to drive e.g. MS Outlook, but I don't want to reinvent the wheel. I have found a function Sys.mail in the library syskern, but this only works under Unix by shelling out a mail command. Thanks, David