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...x of open, high, low, close, and volume prices returns <- function(fund) { p_12ago = as.vector(fund[nrow(fund)-252,6]) perc_diff_12mo = ((p_last - p_12ago) / p_last)*100 #This is the line that's giving me problems: funds=c(as.character(fund)) mo12=c(perc_diff_12mo) final_results=data.frame(funds,mo12) return(final_results) } I can't figure out how to insert the original argument from the function (in this case the name of the fund). Ultimately I want to be able to do returns("GOOG"), and have the output in this format: funds 12mo GOOG 14% I&...

Hello Thomas, Consider that the primary bottleneck may be tied to memory usage and the complexity of pivoting extremely large datasets into wide formats with tens of thousands of unique values per column. Extremely large expansions of columns inherently stress both memory and CPU, and splitting into 110k separate data frames before pivoting and combining them again is likely causing resource

About to try this implementation. As a follow-up, this is the exact error: Lost warning messages Error: no more error handlers available (recursive errors?); invoking 'abort' restart Execution halted Error: cons memory exhausted (limit reached?) Error: cons memory exhausted (limit reached?) Error: cons memory exhausted (limit reached?) Error: cons memory exhausted (limit reached?)

Thomas, I'm curious - what OS are you running this on, and how much memory does the computer have?? Let me know if that code worked out as I hoped. regards, gregg On Wednesday, December 11th, 2024 at 6:51 AM, Deramus, Thomas Patrick <tderamus at mgb.org> wrote: > About to try this implementation. > > As a follow-up, this is the exact error: > > Lost warning

How is the server configured to handle memory distribution for individual users. I see it has over 700GB of total system memory, but how much can be assigned it each individual user? AAgain - just curious, and wondering how much memory was assigned to your instance when you were running R. regards, Gregg On Wednesday, December 11th, 2024 at 9:49 AM, Deramus, Thomas Patrick <tderamus at

Hi Gregg. Just wanted to follow up on the solution you proposed. I had to make some adjustments to get exactly what I wanted, but it works, and takes about 15 minutes on our server configuration: temp <- ??????open_dataset( ????????????sources = input_files, ????????????format = 'csv', ????????????unify_schema = TRUE, ????????????col_types = schema( ????????????"ID_Key"

It's Redhat Enterprise Linux 9 Specifically: OS Information: NAME="Red Hat Enterprise Linux" VERSION="9.3 (Plow)" ID="rhel" ID_LIKE="fedora" VERSION_ID="9.3" PLATFORM_ID="platform:el9" PRETTY_NAME="Red Hat Enterprise Linux 9.3 (Plow)" ANSI_COLOR="0;31" LOGO="fedora-logo-icon"

Hi Thomas, Glad to hear the suggestion helped, and that switching to a `data.table` approach reduced the processing time and memory overhead?15 minutes for one of the smaller datasets is certainly better! Sounds like the adjustments you devised, especially keeping the multicore approach for `make_clean_names()` and ensuring that `ID_Key` values remain intact, were the missing components you

dovecot 2.2.10 packaged by centos 7 configuring ldap driver on userdb cause imap crash during login userdb { driver = ldap args = /etc/dovecot/dovecot-ldap-userdb.conf3.ext # Default fields can be used to specify defaults that LDAP may override #default_fields = home=/home/virtual/%u } #ldap conf --------------- hosts = myDChost base = dc=company,dc=testdomain,dc=dom ldap_version = 3

Hi R users. Apologies for the lack of concrete examples because the dataset is large, and it being so I believe is the issue. I multiple, very large datasets for which I need to generate 0/1 absence/presence columns Some include over 200M rows, with two columns that need presence/absence columns based on the strings contained within them, as an example, one set has ~29k unique values and the

Hi Aki, > Aki Tuomi <aki.tuomi at open-xchange.com> hat am 30. M?rz 2020 16:23 geschrieben: > > Can you install dovecot-dbg to get debug symbols, open the core in gdb and run > > bt full > Full backtrace: :~# gdb /usr/lib/dovecot/auth core.juu GNU gdb (Debian 7.12-6) 7.12.0.20161007-git Copyright (C) 2016 Free Software Foundation, Inc. License GPLv3+: GNU GPL version

Hi, currently we deploying Dovecot as imap/pop3 proxy. Every few minutes some panic/assert occurred (we connect roughly 7k - 8k user at one imap proxy with a connection rate of 200/s). We activate core dumps. Concerning the sensitive information in the dump we would prefer to not share the dump (e.g. i found our ssl private key in the dump). Log/Stack trace: Mar 30 15:54:06 imap16 dovecot: