similar to: SMA and EMA in package TTR

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]]

Friends I am looking at Rcpp and I am a bit stuck on a simple matter. (I am calling R from c++, if there is a better way...) Given this simple example using the TTR package and the SMA function which returns a simple moving average.... Rcpp::NumericVector rv; for(int i = 0; i < 100; i++){ rv.push_back(rand()); } Rcpp::Environment TTR("package:TTR");

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

(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

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, I am very new to R. Just started yesterday. I have to generate a sequence of 40 random treatments using permuted block randomization with a block size of 8. Then I have to plot moving averages for the resulting sequence. I have tried the sample function but I dont know if wht i did is right or not > sample(c(1,1,1,1,2,2,2,2),8) Any ideas please? -- Ayesha Khan MS Bioinformatics Dept. of

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 | |

I tried different versions of sma**.tar.gz file either with "R CMD INSTALL -l packagepath sma**.tar.gz", "R INSTALL -l path sma**.tar.gz" and under R windows by "install.packages("sma_0.5.15.tar.gz",repos=NULL)" . I got same error ====== * installing *source* package 'sma' ... ** Creating default NAMESPACE file Warning in .write_description(db,

Hi all I have just downloaded the sma package from CRAN. On installing on my linux machine, I get the message > library(sma) > data(MouseArray) Warning message: file 'MouseArray.RData' has magic number 'RDX1' Use of save versions prior to 2 is deprecated Hereafter, MouseArray is not found: > MouseArray Error: object "MouseArray" not found We were

Hi, I'm currently using EMA package to make clustering and heatmaps. The online doc concerning the package gives the following example code: data(marty) c<-clustering(marty, metric="pearson", method="ward") clustering.plot(c, title="Hierarchical Clustering\nPearson-Ward") which is working perfectly, However, when I'm changing the method to

Hello, I need to calculate a moving average and an exponentially weighted moving average over a fairly large data set (500K rows). Doing this in a for loop works nicely, but is slow. ewma <- data$col[1] N <- dim(data)[1] for(i in 2:N){ data$ewma <- alpha * data$ewma[i-1] + (1-alpha) * data$value[i] } Since the moving average "accumulates" as we move through the data,

in the sma library, I m trying to use stat.t2 but I don t know what the parameter cl actually means!! cheers

I have loaded price data for GE and then calculated a 50 day simple moving average. Then I have a created a ifelse statement that produce a 1 when GE's closing price is above the simple moving average and a 0 when GE Closing price is below the 50 day simple moving average. However, what I really want to do is to produce a 1 for when the price is above the simple moving average for 3 days

Hi R experts, I am trying to remove autocorrelation from Simple Moving Average time series. I know that this can be done by using seasonal ARIMA like, library(TTR) data <- rnorm(252) n=21 sma_data=SMA(data,n) sma_data=sma_data[-1:-n] acf(sma_data,length(sma_data))

I have a script running in the StatET Eclipse environment that executes the ggplot2 command qplot in a function: # Creates the plot createPlot <- function(){ print("Lets plot!") qplot(1:10, letters[1:10]) } When executing the qplot line directly, it works. When executing the script it does not open a window and it it does not plot. Is there something important I have forgotten? I

Hi Everyone, I'm currently using the latest build of R and R-Studio server (both are amazing products) I'm still very new to this but I came across this issue: I'm trying to do a select from postgres and put the data into and xts object like so: # Libs library('RPostgreSQL') # http://code.google.com/p/rpostgresql/ library('quantmod') library('TTR')

I am looking for some help at removing low-frequency components from a signal, through Moving Average on a sliding window. I understand thiis is a smoothing procedure that I never done in my life before .. sigh. I searched R archives and found "rollmean", "MovingAverages {TTR}", "SymmetricMA". None of the above mantioned functions seems to accept the smoothing

Dear all, I'm totally new to R. Recently I've been trying to use getYahooData in TTR package in order to download stock index daily open/high/low/close. The downloaded data is in the format of Open High Low Close Volume 2000-01-04 18937.45 19187.61 18937.45 19002.86 0 2000-01-05 19003.51 19003.51 18221.82 18542.55 0 2000-01-06

Hello, samba v3.0.7 on suse linux v9.1 os/2 v4.x I have started the process of replacing our os/2 hosts with linux, starting with the server(s). Most of the problems have been firewall related, a topic only briefly discussed in the docs (nudge). Some of the hosts can now interact with the linux samba shares; not all though. I have run ip traces and have gotten to a point that is a

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