similar to: [bug] in cut.POSIXt(..., breaks = <numeric>)

Displaying 5 results from an estimated 5 matches similar to: "[bug] in cut.POSIXt(..., breaks = <numeric>)"

2020 Feb 24
2
Colocar objeto Dates dentro de un vector.
Muchas gracias, Probaré eso también y ya os cuento. Jaume. El lun., 17 feb. 2020 a las 22:10, Javier Marcuzzi (< javier.ruben.marcuzzi en gmail.com>) escribió: > Estimado Jaume Tormo > > En lo personal yo utilizo un enfoque como el que comenta Carlos Ortega, se > me ocurre que posiblemente funcione si a su código le coloca algo de > formato, me refiero a esta forma: >
2023 Nov 05
3
strptime with +03:00 zone designator
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
2009 Jul 12
0
ERROR message while using <-invMillsRatio()
Hi I have been trying so many different things to get my Inverse Mills Ratio going for a Two stage Heckman Model, I have tried the following so far (the commands are listed below till teh point where I get an error), I get an error in the last sentence (marked in bold below), if this were successful then I could have used the IMR as a control in my OLS (which would be the OLS for the outcome
2009 Mar 26
1
Extreme AIC in glm(), perfect separation, svm() tuning
Dear List, With regard to the question I previously raised, here is the result I obtained right now, brglm() does help, but there are two situations: 1) Classifiers with extremely high AIC (over 200), no perfect separation, coefficients converge. in this case, using brglm() does help! It stabilize the AIC, and the classification power is better. Code and output: (need to install package:
2009 Jan 26
1
glm StepAIC with all interactions and update to remove a term vs. glm specifying all but a few terms and stepAIC
Problem: I am sorting through model selection process for first time and want to make sure that I have used glm, stepAIC, and update correctly. Something is strange because I get a different result between: 1) a glm of 12 predictor variables followed by a stepAIC where all interactions are considered and then an update to remove one specific interaction. vs. 2) entering all the terms