Hello, as following your article (1st time touching R), right in the 2nd brick of code I was faced with the folllwing error :
Error in evalq({ : object 'env' not found
does env here means something named in the pc software ? Or it is really a object that was created automatically?
Awesome article, gonna find a way to surpass it, would be awesome if you could help :)
(Using RStudio and installed MRO 3.5.3 (because 3.4.0 was outdated))
Hello, following your article (touching R for the first time), right in the second block of code, I ran into the following error:
Error in evalq ({: object 'env' not found
here env means something named in pc software? Or is it really an auto-generated object?
Great article, I will find a way to beat it, it would be great if you could help :)
(Using RStudio and installing MRO 3.5.3 (since 3.4.0 is deprecated))
The env object was created to separate data from various tools. Just at the beginning of the script write
env <- new .env() ls(env) character( 0 ) env$a <- 23 ls(env) [ 1 ] "a" > env$a [ 1 ] 23
Good luck.
Dear MR. Vladimir Perervenko, thank you a lot for your fast answer, after taking a R course I hope to make at least enough to deserve the study of your awesome work, thank you a lot for sharing Mr. Vladimir.
Best of best Regards
Ferox
Hello again Mr. Perervenko, hope you are feeling great. I have a new question, when you first wrote about ZigZag :
#------ZZ----------------------------------- par <- c(25, 5) ZZ <- function(x, par) { # x - vector require(TTR) require(magrittr) ch = par[1] mode = par[2] if (ch > 1) ch <- ch/(10 ^ (Dig - 1)) switch(mode, xx <- x$Close, xx <- x$Med, xx <- x$Typ, xx <- x$Wd, xx <- x %>% select(High,Low)) zz <- ZigZag(xx, change = ch, percent = F, retrace = F, lastExtreme = T) n <- 1:length(zz) for (i in n) { if (is.na(zz[i])) zz[i] = zz[i - 1]} return(zz) }
on the 9th line, what's the meaning of the Dig object?
Couldn't find it on the project or in the required packages ...
Best Regards MR. Perervenko
Ferox
I'm sorry my stupid question Mr. Vladimir Perervenko.
Already solved it, there's no excuses
Best regards

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New article Deep Neural Networks (Part I). Preparing Data has been published:
This series of articles continues exploring deep neural networks (DNN), which are used in many application areas including trading. Here new dimensions of this theme will be explored along with testing of new methods and ideas using practical experiments. The first article of the series is dedicated to preparing data for DNN.
Fig.5. Oscillators of the third group
Author: Vladimir Perervenko