similar to: Sequence analysis with TraMineR 1.2

Dear R users, The TraMineR package for mining, describing and visualizing sequences of states or events, and more generally discrete sequential data has been updated to version 1.6-1. Its primary aim is the analysis of biographical longitudinal data in the social sciences, such as data describing careers or family trajectories. Most of its features apply however also to non temporal data

Dear R users, The TraMineR package for mining, describing and visualizing sequences of states or events, and more generally discrete sequential data has been updated to version 1.6-1. Its primary aim is the analysis of biographical longitudinal data in the social sciences, such as data describing careers or family trajectories. Most of its features apply however also to non temporal data

Dear R users, The TraMineR package for mining, describing and visualizing sequences of states or events, and more generally discrete sequential data has been updated to version 1.4. Many new functionalities have been added, among which: new metrics for computing distances between sequences, function for computing multi-channel distances, new functions for extracting and visualizing sets of

Dear R users, An update to version 1.4-1 of the TraMineR package is available on the CRAN. The package is intended for mining, describing and visualizing sequences of states or events and more generally discrete sequential data. This update fixes minor bugs and contains several code improvements. Upgrade is recommended. A list of changes and additional information about the TraMineR package

Dear R users, The TraMineR package for mining, describing and visualizing sequences of states or events, and more generally discrete sequential data has been updated to version 1.4. Many new functionalities have been added, among which: new metrics for computing distances between sequences, function for computing multi-channel distances, new functions for extracting and visualizing sets of

Dear R users, An update to version 1.4-1 of the TraMineR package is available on the CRAN. The package is intended for mining, describing and visualizing sequences of states or events and more generally discrete sequential data. This update fixes minor bugs and contains several code improvements. Upgrade is recommended. A list of changes and additional information about the TraMineR package

Hi all, It is our pleasure to announce that the new version 1.8-2 of TraMineR has been released on the CRAN. Alongside the fixes of a series of small bugs and some speed improvements, the main changes are: - a new information display when creating state sequence object which permits better checking of the correspondence between alphabet, state names and labels; -

Hi all, It is our pleasure to announce that the new version 1.8-2 of TraMineR has been released on the CRAN. Alongside the fixes of a series of small bugs and some speed improvements, the main changes are: - a new information display when creating state sequence object which permits better checking of the correspondence between alphabet, state names and labels; -

I have a data with the sequence of events with millions records and more than 24 time stamped variables. sample data: 1 2 3 4 5 6 7 8 9 10 A A A C C C B B D D D D D D D C C C C C B B A C A C C C D D I want to predict sequence for next 3 period. How this can be achieved using R. Is there any package/function in R do this. I have gone through the document for package "TraMineR" but not

Hi all I am analyzing bird song element sequences. I would like to know how can I get how many times a given subsequence is found in single string sequence. For example: If I have this single sequence: ABCABAABABABCAB I am looking for the subsequence "ABC". Want I need to get here is that the subsequence is found twice. Any idea how can I do this? Thanks

Andrew Martin wrote: > ----- Original Message ----- <snip> > > > Most noteworthy is that the phone seems to send the OK for cseq 103, but it > seems that the asterisk server never received this OK, which is why it kept > re-transmitting the INVITE (103). Is this OK supposed to go to the asterisk > server, or to the other phone? If it is supposed to go to the asterisk

----- Original Message ----- > From: "Joshua Colp" <jcolp at digium.com> > To: "Asterisk Users Mailing List - Non-Commercial Discussion" <asterisk-users at lists.digium.com> > Sent: Wednesday, May 13, 2015 10:10:25 AM > Subject: Re: [asterisk-users] "Retransmission Timeout" results in dropped calls after 32 seconds > > Andrew Martin

I'm seeing random disk full errors when saving large Excel files to a Samba share. The users will retry and the second or third time (usually the second time) it will save correctly. This is with version 3.0.21a on i386 Red Hat 9, kernel 2.4.20-31 patched with ACL. -- Michael St. Laurent Hartwell Corporation "This is the captain speaking. We may experience some turbulence... and

Dear all, This seems like a simple problem but i've searched the help files and tried various options but failed, so apologies in advance for asking what i'm sure is an easy thing to do! In short, I have displayed behavioural data using the TraMineR package such that there is a colour change between the transition of behaviours, however, all the methods that i have used thus far have

Andrew Martin wrote: > ----- Original Message ----- >> From: "Joshua Colp"<jcolp at digium.com> >> To: "Asterisk Users Mailing List - Non-Commercial Discussion"<asterisk-users at lists.digium.com> >> Sent: Wednesday, May 13, 2015 10:10:25 AM >> Subject: Re: [asterisk-users] "Retransmission Timeout" results in dropped calls after

Hi   I am using following code to produce a xyplot for some longitudinal data. There are 2 panels. It produced all longitudinal trajectories with mean profile. But since the dataset it very large plot looks very messy. I want to show, say 10 randomly selected individual longitudinal trajectories together with mean profile for entire dataset. Could any help me to alter the following code to do

QUESTION: how should I do a linear regression in which there are errors in x as well as y? SUPPLEMENT: I've seen folks approach this problem by computing eigenvectors of the covariance matrix, and that makes sense to me. But I'm wondering if this has a "pedigree" (i.e. if it makes sense to folks on this list, and if it's something that has been published, so I can refer to

?kml? is an implementation of k-means for longitudinal data (or trajectories). This algorithm is able to deal with missing value and provides an easy way to re roll the algorithm several times, varying the starting conditions and/or the number of clusters looked for. KmL 1.1.1 addition: - 7 imputations methods for longitudinal data - Calculus of three qualities criterion (Calinski&Harabatz,

?kml? is an implementation of k-means for longitudinal data (or trajectories). This algorithm is able to deal with missing value and provides an easy way to re roll the algorithm several times, varying the starting conditions and/or the number of clusters looked for. KmL 1.1.1 addition: - 7 imputations methods for longitudinal data - Calculus of three qualities criterion (Calinski&Harabatz,

Hi all, I currently work on a survey which contains biographical data stored in a chronological way, ie something like : id year variable 001 2000 0 001 2001 0 001 2002 1 001 2003 0 002 1996 0 002 1997 0 002 1998 1 002 1999 0 002 2000 0 where id is a person identifier, year the year of observation and variable the