search for: 99998

...Uno 0.85930634 3: 3 dos 0.13521503 4: 4 Uno 0.86996341 5: 5 dos 0.65879889 --- 99996: 99996 Uno 0.94728423 99997: 99997 Uno 0.24088571 99998: 99998 Uno 0.07458581 99999: 99999 Uno 0.30535050 100000: 100000 Uno 0.54640585 > difftime( Sys.time(), t) Time difference of 0.3299999 secs > ----- Mensaje original ----- De: Javier Villacampa González <javier.villacampa.gonzalez en gmai...

...-vpn.org/cgi-bin/mailman/listinfo/tinc> > > <https://www.tinc-vpn.org/cgi-bin/mailman/listinfo/tinc > <https://www.tinc-vpn.org/cgi-bin/mailman/listinfo/tinc>> > > -- Cytronics & Melware Weinbergstrasse 39, 55296 Loerzweiler / Germany Tel: +49 6138 99998-100 Fax: +49 6138 99998-109 VoIP: sip:info at melware.net mailto:info at melware.de http://www.melware.de

...Uno 0.85930634 3: 3 dos 0.13521503 4: 4 Uno 0.86996341 5: 5 dos 0.65879889 --- 99996: 99996 Uno 0.94728423 99997: 99997 Uno 0.24088571 99998: 99998 Uno 0.07458581 99999: 99999 Uno 0.30535050 100000: 100000 Uno 0.54640585 > difftime( Sys.time(), t) Time difference of 1.060787 secs ----- Mensaje original ----- De: "Olivier Nuñez" <onunez en unex.es> Para: "Javier...

...nipped output for this email> Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 2.30305 0.00141 1629 <2e-16 *** ttment2 0.40429 0.00183 221 <2e-16 *** Null deviance: 151889 on 99999 degrees of freedom Residual deviance: 101848 on 99998 degrees of freedom AIC: 533152 > summary(m1big) Large data regression model: bigglm(y ~ ttment, data = dat, family = poisson(link = "log")) Sample size = 100000 Coef (95% CI) SE p (Intercept) 2.651 2.650 2.653 0.001 0 ttment2 4.346 4.344 4.348 0.001 0 &gt...

...t; > > <https://www.tinc-vpn.org/cgi-bin/mailman/listinfo/tinc > > <https://www.tinc-vpn.org/cgi-bin/mailman/listinfo/tinc>> > > > > > > > -- > Cytronics & Melware > Weinbergstrasse 39, 55296 Loerzweiler / Germany > Tel: +49 6138 99998-100 > Fax: +49 6138 99998-109 > VoIP: sip:info at melware.net > mailto:info at melware.de > http://www.melware.de > -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://www.tinc-vpn.org/pipermail/tinc/attachments/20160903/ed46565b/attachment.html...

On 09/02/2016 08:51 PM, Etienne Dechamps wrote: > What version of tinc are you using? tinc 1.1 already does what you want out of > the box: packets sent from node A to node B through node C will use a key that > A and B will negotiate between themselves. C doesn't have the key, and will > act as a blind relay. C will not be able to decipher the packets flowing > between A and B.

...ut for this email> / /> Coefficients: / /> Estimate Std. Error z value Pr(>|z|) / /> (Intercept) 2.30305 0.00141 1629 <2e-16 *** / /> ttment2 0.40429 0.00183 221 <2e-16 *** / /> / /> Null deviance: 151889 on 99999 degrees of freedom / /> Residual deviance: 101848 on 99998 degrees of freedom / */> AIC: 533152 / */> / />> summary(m1big) / /> Large data regression model: bigglm(y ~ ttment, data = dat, family = / /> poisson(link = "log")) / /> Sample size = 100000 / /> Coef (95% CI) SE p / /> (Intercept) 2.651 2.650 2.653 0.001 0 / /...

Imaginemos que tenemos una matriz con datos temporales por sujetos. Pongamos que numero de veces que ha jugado una carta en un juego online. Y que quiero saber cuantas veces jugo la carta el primer mes que estuvo en el juego. Pero claro mi matriz guarda los datos temporalmente de tal manera que: # data.table( Enero = c( 1, 4, NA , NA , NA) , Febrero = c( 2, 6, 1, NA, NA ) , Marzo = c( 8,6,7,3,

...I get... src/nmath/standalone> LD_LIBRARY_PATH=. ./test 99990 --> -669773.38974057 99991 --> -669771.08705436 99992 --> -669768.78437815 99993 --> -669766.48171194 99994 --> -669764.17905574 99995 --> -669761.87640953 99996 --> -669759.57377332 99997 --> -669757.27114712 99998 --> -669754.96853091 99999 --> -669752.66592471 100000 --> -669750.36332851 100001 --> -599731.36192347 <--- Look at me jump! 100002 --> -599729.89768519 100003 --> -599728.43344358 100004 --> -599726.96919865 100005 --> -599725.50495039 100006 --> -599724.040698...