search for: extimation

Hi, What is cast telling me when it says the following? Aggregation requires fun.aggregate: length used as default What is 'length'? I've taken a small subset of data and wondered what EnTime vs ExTime might look like. cast is kind enough to give me a table but I don't understand the values in the table. They seem to sum up ro be the same as the total dimension of the data

Hi, I've tried to capture the basics of this problem I'm having. Been working on this for a couple of days and just cannot get past it. As a test of this list software I've attached is a small text file zipped up. I hope it gets through but if it doesn't I'll post the actual text which is only 26 lines. Put it somewhere sensible and change the first line in the code to point

Good morning, (sorry for my english) i have some problems to put off by extimation ARIMA coefficients the ones not significatives. Exist a method to extimate only that significatives? i use the command: arima(). thanks to all Stefano [[alternative HTML version deleted]]

I have a data.frame that was built from a number of smaller data.frames with rbind. Each ssmaller data.frame bound together runs over the same date ranges. The format of the whole thing looks like this: Trade PosType EnDate EnTime ExDate ExTime PL_Pos 1 1 1 1040107 915 1040107 1300 164 2 2 1 1040108 909 1040108 1300 184 3 3 1 1040115

Hi, I am apparently not understanding some nuance about either the use of subset or more likely my ability to test for a numerical match using '='. Which is it? Thanks in advance. I've read a data file, reshaped it and then created MyResults by keeping only lines where the value column is greater than 0. So far so good. The data in MyResults looks good to me by eye. The

I'm having a very hard time making R CMD check produce a clean check on examples because of the timings inserted into examples by R CMD check. I am getting a difference on every example output caused by timing information being inserted by 'R CMD check'. The current 'Writing R Extensions' manual[1] states on p. 14: If directory tests has a subdirectory Examples

This SO post: https://stackoverflow.com/q/76583828 describes a strange R CMD check error. Depending on the contents of a comment in one of the examples sections of a help page, an error like this could be triggered: > base::assign(".dptime", (proc.time() - get(".ptime", pos = "CheckExEnv")), pos = "CheckExEnv") >

Dear all, I need to use R for one estimation, and i have readily available stata command, but i need also the R version of the same command. the estimation in stata is as following: 1. Compute mean values of relevant variables . sum inno lnE lnM Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------

Hi all, I'm having a little bit of trouble with some date conversions and am hoping someone can help me out. Thanks in advance. OK, I have two sources of data that provide date info in a csv file differently. I've attached a small zipped file with two text files that illustrate both. (Is it ok to send attachments to this list? Not sure. It's very small.) I need to be able to

Am 02.07.23 um 18:01 schrieb Duncan Murdoch: > This SO post: https://stackoverflow.com/q/76583828 describes a strange R > CMD check error. Depending on the contents of a comment in one of the > examples sections of a help page, an error like this could be triggered: > > > base::assign(".dptime", (proc.time() - get(".ptime", pos = >

...on for 3 modes? 3) What should I do to avoid function failure? I tried by changing the parameters, but it did not work. 4) Can I put constraints to the parameters? In particular, I would like w to be between 0 and 1. 5) Is there a way to get the log-likelihood value, so that I can compare different extimations? 6) Do you have any (possibly a bit "pratically oriented") readings about MLE to suggest? Thanks in advance Nico -- View this message in context: http://www.nabble.com/MLE-for-bimodal-distribution-tp22954970p22954970.html Sent from the R help mailing list archive at Nabble.com.

From: saint-filth@hotmail.com To: saint-filth@hotmail.com Subject: RE: Date: Wed, 9 Jun 2010 09:53:20 +0000 OK! sorry thats my fault, here the translations of the stata commands 1st step is to get the mean values of the variables, well that doesnt need explanation i guess, 2nd step is to estimate the model on panel data estimation method which is:

Full_Name: Menelaos Stavrinides Version: 1.3. 1 OS: Windows 98 Submission from: (NULL) (193.129.76.90) When model simplification is used in glm (binomial errors) and anova is used two compare two competitive models one can use either an "F" or a "Chi" test. R always performs an F test (Although when test="Chi" the test is labeled as Chi, there isn't any

Hi, First up, thanks again for all the help I'm getting on this list. I'm making great headway in analyzing my experimental data on an experiment by experiment basis. No way I could have done this in the time I've done it without your help. This email is partially a question about R but is also soliciting overall guidance if anyone wants to give it. I somehow managed to get an

Thanx for your response, yeah, i know i didnst specified the indexes when i wrote the 2nd mail, in fact in the 1st mail i wrote already that i dont have problem with the estimation of the model... thats the reason why i didnt write in fact since the issue is not to estimate the model but to get the marginal effect, anyway, i figured out that predict(), doesnt work for panel data... and well, my

I am looking to install a web interface for Asterisk to transfer calls and look who's on the phone. If anybody has a working web interface please let me know. I installed the www.asternic.com (operator) But when I bring up my web browser it says transferring data and does not bring a browser. -----Original Message----- From: asterisk-users-admin@lists.digium.com

Hi, I'm new to R and would like to know, how one can populate the list with array data. I'm reading a tab separated table in R. The data in the table looks something like this. #Table Data Comp    A    B    C Extracellular    103    268    535759 Nucleus    45603    47783    442744 #R code myData <- read.table("table.data",                 header=T,