I've been using R recently to analyze some data, but I'm having a problem using the mean() function.
I imported the original data set as a vector of integers, x and then calculated a exponential moving average of the data, x_ema. This part worked fine. Then, I tried to find the mean squared error between the original series and the moving average, using mse = mean((x - x_ema)^2). This gives N/A as a result, which seems to be the result of the mean function. When I run mean() on x_ema, which is of data type double, it always returns N/A. I can find the mean of the original integer data just fine, as well as for a simple test vector of 10 doubles, but it never seems to return a usable result for the x_ema vector. Is this because the vector is too long? (Both x and x_ema contain around 40000 values). Am I running into some memory limit? I can do other calculations with x_ema just fine, it's only the mean() function that doesn't seem to work. All the information in the help seems to indicate that this operation should work without a problem. If it matters at all, I'm using R 2.9.2 running on Windows Vista. I'd appreciate any help or suggestions as to what might be wrong. Thank you, Reuben Bellika ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
