similar to: Screen resolution Problem

I have some data that includes timestamps like this: 2017-02-28T13:35:00+03:00 The documentation for strptime says that %z expects an offset like 0300. I don't see any way in the documentation to get it to accept +hh:mm with a colon separator, and everything I tried gave me NA as the answer. Section 4.2.5.1 of ISO 8601:2004(E) allows both the absence of colons in +hh[mm] (basic format) and

I have cobbled together the following logic. It works but is very slow. I'm sure that there must be a better r-specific way to implement this kind of thing, but have been unable to find/understand one. Any help would be appreciated. hh.sub <- households[c("HOUSEID","HHFAMINC")] for (indx in 1:length(hh.sub$HOUSEID)) { if ((hh.sub$HHFAMINC[indx] == '01')

dear list, i am using a multifactorial design with two treatments (factor A: drugs, three levels; factor B: theraphy, two levels) and a time factor (three levels, different timepoint). hypothetically, i measured the same subjects for all treatements and timepoints, so its a repeated measurement design. now i ran an anova in R and also some Tukey post-hoc tests using glht. but what i am actually

Recently thunderbird and Dovecot IMAPS cannot agree on SSL however Evolution, on the exact same system, is working fine with the same accounts. Tried recreating the Dovecot cert and also the thunderbird accounts from scratch. The OpenSSL raw client works fine as well. Would someone also confirm the openssl commands to create a selfsigned cert for dovecot imaps. They cert created does work

Dear R Community, I am new to R, and have a question that I suspect may be quite simple but is proving a formidable roadblock for me. I have a large data set that includes water-quality measurements collected over many 24-hour periods. The date and time of sample collection are in a combined Date/Time field in the format yyyy-mm-dd hh:mm:ss. I need to be able to subset the data for analysis of

Hi, I have a data.frame with 100 variables and I have assigned a "label", "units" and "category" attribute to each variable. I would like to reorder the variables in the data.frame by the "category" attributes but can't find a way. For example, the first variable is: > attributes(hh$aez) $levels [1] "coastal" "forest"

Hello, This is a selfsigned cert. Both of the below methods were used. May I ask for 1. pointer to info setting up "intermediate certs" and where the certfile goes? The objective is to generate a self-signed cert and use it for just internal use with IMAPS dovecot. Separately, what are your thoughts as to why evolution works and thunderbird does not? Thank you, ==1 openssl

I would expect the public cert to be imported as a "server" not an "auth" The attached image shows that TBird wants an httpS url for a webserver, for the source. Ages ago, I think it prompted for "do you want to trust this new cert" and YES added it (assuming that is the public key) to the server list.? A bit confused by this. <see attached thunderbird

try using 'lubridate' > library(lubridate)Attaching package: ?lubridate? The following objects are masked from ?package:base?: date, intersect, setdiff, union > x <- "2017-02-28T13:35:00+03:00"> ymd_hms(x)[1] "2017-02-28 10:35:00 UTC" > Thanks Jim Holtman *Data Munger Guru* *What is the problem that you are trying to solve?Tell me what you

Hello, I am in Win-XP R:2.3.0 latest rtools and Perl - of today I got Rcmdr.HH source code and tried to compile it myself copy all directory to R/R-2.3.0/src/library/Rcmdr.HH from R/R-2.3.0/src/library I typed: ..\..\bin\R CMD build --force --binary --auto-zip Rcmdr.HH * checking for file 'Rcmdr.HH/DESCRIPTION' ... OK * preparing 'Rcmdr.HH': * checking DESCRIPTION meta-information

Hola a todos La cuestión es una tontería, me gustaría recodificar los NA (valores faltantes) por el valor 0 He probado varias cosas del estilo: > hh<-c(2,3,4,NA,4) > replace(hh,which(hh==NA),0)->hh > hh [1] 2 3 4 NA 4 Conocéis alguna forma. Saludos

Hello everyone, I'm trying to estimate the parameters of the returns series attached using the GARCH code below, but I get the following error message: Error in solve.default(Hessian) : system is computationally singular: reciprocal condition number = 0 Error in diag(solve(Hessian)) : error in evaluating the argument 'x' in selecting a method for function 'diag' Can

I needed to compute a complicated cross tabulation to show weighted means and standard deviations and the only method I could get that worked uses a series of nested for next loops. I know that there must be a better way to do so, but could use some assistance pointing the way. Here is my working, but inefficient script: library(Hmisc) rm(list=ls()) load('NHTS.Rdata') day.wt <-

This is related to my post about .chm where vitamin set me on the right path. http://forum.winehq.org/viewtopic.php?t=1026 Since then I reinstalled Ubuntu 8.04 and wine. While perusing the virgin registry I noticed the chm.file ...command key was: C:\windows\system32\hh.exe %1 There is no hh.exe located in that directory. The hh.exe file is located in the C:\windows\ directory. If wine uses the

OK, so the consensus is (1) One cannot make strptime accept ISO8601-compliant zone designators (2) The lubridate package can (3) Or one can hack away with regex. Lubridate it is, then. But I do regard strptime's inability to process ISO8601-compliant zone designators as a bug. On Mon, 6 Nov 2023 at 13:18, jim holtman <jholtman at gmail.com> wrote: > try using 'lubridate'

Readers, I am trying to use the zoo package with an array of data: file1: hh:mm:ss 1 hh:mm:ss 2 hh:mm:ss 3 hh:mm:ss 4 file2: hh:mm:ss 11 55 hh:mm:ss 22 66 hh:mm:ss 33 77 hh:mm:ss 44 88 I wanted to merge these data set so I tried the following commands: library(chron) library(zoo) z1<-read.zoo("path/to/file1.csv",header=TRUE,sep=",",FUN=times)

Thanks to all who replied. On Mon, 6 Nov 2023 at 18:37, Richard O'Keefe <raoknz at gmail.com> wrote: > OK, so the consensus is > (1) One cannot make strptime accept ISO8601-compliant zone designators > (2) The lubridate package can > (3) Or one can hack away with regex. > Lubridate it is, then. > > But I do regard strptime's inability to process

Hello R-list-members, I'm trying to model ARMA(0,2) & GARCH(1,1) process using the code below, but according to my textbook, the estimated parameters are wrong. The MA-parameters should be negative. (I've got the same problem using garchFit()). Can anyone tell me what I'm doing wrong? And how can I calculate the hessian matrix? Many thanks, Desislava Kavrakova Code:

Hi all, I need to compare between times and put all similar times in specific 1 minute bins. Unfortunately the original data include seconds as well. My data is in HH:MM:SS format but I need it rounded to only HH:MM and trying in Excel to display "unique" records only does not work since the seconds are not unique. Is there an easy way using perhaps CHRON to change all from the

Dear R-Users I have a problem accessing some values in the output from the summary of an lme fit. I fit the model below: ggg <- lme (ST~ -1 + as.factor(endp):Z.sas + as.factor(endp), data=dat4a, random=~-1 + as.factor(endp) + as.factor(endp):Z.sas|as.factor(trials), correlation = corSymm(form=~1|as.factor(trials)/as.factor(id)), weights=varIdent(form=~1|endp)) hh