similar to: Hausman test

Note the typo in your 3rd line: data < Don't know if this means anything... Bert On Feb 11, 2018 7:33 AM, "PAOLO PILI" <paolo.pili at student.unife.it> wrote: > Hello, > > I have a problem with Hausman test. I am performing my analysis with these > commands: > > > library(plm) > > data<-read.csv2("paolo.csv",header=TRUE) >

you are right about the 3rd line but it doesn't help me for my problem. I remove the 3rd line but there is still the same problem: Error in solve.default (dvcov): the system is numerically unique: reciprocity condition value = 1.63418e-19 Paolo 2018-02-11 16:54 GMT+01:00 Bert Gunter <bgunter.4567 at gmail.com>: > Note the typo in your 3rd line: data < > > Don't

Dear R users, I?m trying to optimize simultaneously two binomials inequalities (used in acceptance sampling) which are nonlinear solution, so there is no simple direct solution. Please, let me explain shortly the the problem and the question as following. The objective is to obtain the smallest value of 'n' (sample size) satisfying both inequalities: (1-alpha) <= pbinom(c, n, p1)

https://bugzilla.mindrot.org/show_bug.cgi?id=1760 Summary: Timestamp offset using softflowd with nfdump Product: softflowd Version: -current Platform: ix86 OS/Version: Linux Status: NEW Severity: major Priority: P2 Component: softflowd AssignedTo: djm at mindrot.org ReportedBy: stephen at

Dear list, here is an example of stepAIC that I do not understand. The data is n=42, Lage is the only factor and there are four other variables treated as continuous. First you see the stepAIC-forward solution (fs7). The strange thing here is that apparently not all interactions are tried for inclusion, but only WQ:Lage. In particular, I think that WFL:Lage should be tried in the last two

Dear R users, I?m trying to optimize simultaneously two binomials inequalities used to acceptance sampling, which are nonlinear solution, so there is no simple direct solution. The 'n' represents the sample size and the 'c' an acceptance number or maximum number of defects (nonconforming) in sample size. The objective is to obtain the smallest value of 'n' (sample size)

Dear R users, I?m trying to optimize simultaneously two binomials inequalities used to acceptance sampling, which are nonlinear solution, so there is no simple direct solution. Please, let me explain shortly the the problem and the question as following. The objective is to obtain the smallest value of 'n' (sample size) satisfying both inequalities: (1-alpha) <= pbinom(c, n, p1)

Hello, I want to select in a column of a dataframe all numbers smaller than a value x but when I type in test<-(RSF_EU$AREA<=x) I receiv as answer: > test [1] TRUE FALSE FALSE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE [18] TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE [35] FALSE TRUE

Hello, I'm trying to register a user using sipml5 on Asterisk 11. I followed the instructions here: http://thr3ads.net/asterisk-users/2012/08/1972342-Asterisk-Websockets I added transport=ws to my sip.conf file: [3002] username=3002 secret=XXXXXXXXX host=dynamic type=friend context=test disallow=all allow=g729 ;allow=all ; Allow codecs in order of preference allow=ilbc

Hi, I am try to configure Asterisk as PBX system with two interfaces as shown below. One interface pointing to the local subnet with a SIP phone and another interface pointing to the external ISP SIP Sever. SJPhone(X.X.141.32)<--------->(Y.Y.47.149)local-intf-|Asterisk|external- intf(Z.Z.247.106)<-------->(w.w.158.26)ISP-SIP-Server----OutsideWorld I am able to setup a call from the