search for: v40

...r # [1] "sprintf('%f %f |A V1:%f V2:%f V3:%f V4:%f V5:%f V6:%f V7:%f V8:%f V9:%f V10:%f V11:%f V12:%f V13:%f V14:%f V15:%f V16:%f V17:%f V18:%f V19:%f V20:%f V21:%f V22:%f V23:%f V24:%f V25:%f V26:%f V27:%f V28:%f V29:%f V30:%f V31:%f V32:%f V33:%f V34:%f V35:%f V36:%f V37:%f V38:%f V39:%f V40:%f V41:%f V42:%f V43:%f V44:%f V45:%f V46:%f V47:%f V48:%f V49:%f V50:%f V51:%f V52:%f V53:%f V54:%f V55:%f V56:%f V57:%f V58:%f V59:%f V60:%f V61:%f V62:%f V63:%f V64:%f V65:%f V66:%f V67:%f V68:%f V69:%f V70:%f V71:%f V72:%f V73:%f V74:%f V75:%f V76:%f V77:%f V78:%f V79:%f V80:%f V81:%f V82:%f V8...

...V1:%f V2:%f V3:%f V4:%f V5:%f V6:%f V7:%f >> V8:%f V9:%f V10:%f V11:%f V12:%f V13:%f V14:%f V15:%f V16:%f V17:%f >> V18:%f V19:%f V20:%f V21:%f V22:%f V23:%f V24:%f V25:%f V26:%f V27:%f >> V28:%f V29:%f V30:%f V31:%f V32:%f V33:%f V34:%f V35:%f V36:%f V37:%f >> V38:%f V39:%f V40:%f V41:%f V42:%f V43:%f V44:%f V45:%f V46:%f V47:%f >> V48:%f V49:%f V50:%f V51:%f V52:%f V53:%f V54:%f V55:%f V56:%f V57:%f >> V58:%f V59:%f V60:%f V61:%f V62:%f V63:%f V64:%f V65:%f V66:%f V67:%f >> V68:%f V69:%f V70:%f V71:%f V72:%f V73:%f V74:%f V75:%f V76:%f V77:%f >> V...

...f('%f %f |A V1:%f V2:%f V3:%f V4:%f V5:%f V6:%f V7:%f > V8:%f V9:%f V10:%f V11:%f V12:%f V13:%f V14:%f V15:%f V16:%f V17:%f > V18:%f V19:%f V20:%f V21:%f V22:%f V23:%f V24:%f V25:%f V26:%f V27:%f > V28:%f V29:%f V30:%f V31:%f V32:%f V33:%f V34:%f V35:%f V36:%f V37:%f > V38:%f V39:%f V40:%f V41:%f V42:%f V43:%f V44:%f V45:%f V46:%f V47:%f > V48:%f V49:%f V50:%f V51:%f V52:%f V53:%f V54:%f V55:%f V56:%f V57:%f > V58:%f V59:%f V60:%f V61:%f V62:%f V63:%f V64:%f V65:%f V66:%f V67:%f > V68:%f V69:%f V70:%f V71:%f V72:%f V73:%f V74:%f V75:%f V76:%f V77:%f > V78:%f V79:%f V80...

Thanks people! another question, is there something similar to sort for dates? sort(x, decreasing = FALSE, ...) On Tue, Dec 13, 2011 at 8:34 AM, Jorge I Velez <jorgeivanvelez at gmail.com> wrote: > Hi Ana, > > Check section 4 of?http://www.jstatsoft.org/v40/i03/paper for more > alternatives. > > HTH, > Jorge.- > > > On Mon, Dec 12, 2011 at 9:39 PM, Ana <> wrote: >> >> How do I sum 15 years to my dataset? >> >> original dataset >> ? ? ? ? dates ? ? ? ?val >> 1 ? ?2001-01-12 ? ?1.2 >>...

Hi, I?m using the R package stats for some analysis, I would like to know if there is any special reference paper to cite this package or just the R paper itself. Thank you very much for your answer, Iriel Joerin [[alternative HTML version deleted]]

...but when I try and run the command it executes halfway through and give me an error at V188 and V359. Temp <- data.frame(V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, V25, V26, V27, V28, V29, V30, V31, V32, V33, V34, V35, V36, V37, V38, V39, V40, V41, V42, V43, V44, V45, V46, V47, V48, V49, V50, V51, V52, V53, V54, V55, V56, V57, V58, V59, V60, V61, V62, V63, V64, V65, V66, V67, V68, V69, V70, V71, V72, V73, V74, V75, V76, V77, V78, V79, V80, V81, V82, V83, V84, V85, V86, V87, V88, V89, V90, V91, V92, V93, V94, V95, V96, V97, V98, V99, V10...

Hola, soy nuevo en R y en esta lista de distribución, pero a ver si alguien me puede echar una mano. Tengo una matriz de datos con 1539 filas, constituida por 171 eventos distintos medidos 9 veces cada uno. Lo que quiero es, para cada evento, hacer una regresión lineal entre la variable dependiente medida 9 veces en cada evento y el tiempo, y obtener el valor de 'r' para cada evento.

...quot;v23" "v24" "v25" "v26" "v27" [58] "v28" "v29" "v30" "v31" "v32" "v33" "v34" "v35" "v36" "v37" "v38" "v39" "v40" "v41" "v42" "v43" "v44" "v45" "v46" [77] "v47" "v48" "v49" "v50" "v51" "v82" "v83" "v84" "v85" "v86" "v87&quot...

...ate 02. Data Base Updated $ openssl ca -config openssl.conf -name CA_ssl_default -gencrl -out cassl/crl.pem -crldays 365 Using configuration from openssl.conf Enter pass phrase for /root/Certifs/cassl/private/cassl.key: $ # cat cassl/crl.pem -----BEGIN X509 CRL----- MIIB... ... ...v40= -----END X509 CRL----- In apache logs, when the CRL file is activated in the conf: [debug] ssl_engine_init.c(538): Configuring client authentication [debug] ssl_engine_init.c(1113): CA certificate: /C=AA/ST=BB/L=CC/O=DD/CN=myhost.mydomain [debug] ssl_engine_init.c(601): Configuring permit...

...erable effort has been put into making plyr fast and memory efficient, and in many cases plyr is as fast as, or faster than, the built-in equivalents. A detailed introduction to plyr has been published in JSS: "The Split-Apply-Combine Strategy for Data Analysis", http://www.jstatsoft.org/v40/i01/. You can find out more at http://had.co.nz/plyr/, or track development at http://github.com/hadley/plyr. You can ask questions about plyr (and data manipulation in general) on the plyr mailing list. Sign up at http://groups.google.com/group/manipulatr. Version 1.6 ----------------------------...

..., sparc-solaris2.5.1, gcc 2.7.2 Solaris-gorn% ~/R16 -n800000 > gc() Garbage collection ... 753423 cons cells free (94%) 3875k bytes of heap free (96%) Solaris-gorn% ~/R16 -n400000 > gc() Garbage collection ... 353423 cons cells free (88%) 3875k bytes of heap free (96%) Solaris-gorn% ~/R16 -v40 > gc() Garbage collection ... 353423 cons cells free (88%) 39875k bytes of heap free (99%) Solaris-gorn% ~/R16 -v4 > gc() Garbage collection ... 353423 cons cells free (88%) 3875k bytes of heap free (96%) > > 2. When I type colors(), R tells me that it cannot find .Colors. This one I...

...erable effort has been put into making plyr fast and memory efficient, and in many cases plyr is as fast as, or faster than, the built-in equivalents. A detailed introduction to plyr has been published in JSS: "The Split-Apply-Combine Strategy for Data Analysis", http://www.jstatsoft.org/v40/i01/. You can find out more at http://had.co.nz/plyr/, or track development at http://github.com/hadley/plyr. You can ask questions about plyr (and data manipulation in general) on the plyr mailing list. Sign up at http://groups.google.com/group/manipulatr. Version 1.6 ----------------------------...

...erable effort has been put into making plyr fast and memory efficient, and in many cases plyr is as fast as, or faster than, the built-in equivalents. A detailed introduction to plyr has been published in JSS: "The Split-Apply-Combine Strategy for Data Analysis", http://www.jstatsoft.org/v40/i01/. You can find out more at http://had.co.nz/plyr/, or track development at http://github.com/hadley/plyr. You can ask questions about plyr (and data manipulation in general) on the plyr mailing list. Sign up at http://groups.google.com/group/manipulatr. Version 1.7-----------------------------...

...erable effort has been put into making plyr fast and memory efficient, and in many cases plyr is as fast as, or faster than, the built-in equivalents. A detailed introduction to plyr has been published in JSS: "The Split-Apply-Combine Strategy for Data Analysis", http://www.jstatsoft.org/v40/i01/. You can find out more at http://had.co.nz/plyr/, or track development at http://github.com/hadley/plyr. You can ask questions about plyr (and data manipulation in general) on the plyr mailing list. Sign up at http://groups.google.com/group/manipulatr. Version 1.7-----------------------------...

...ben at bolker-lap2:~$ traceroute wiki.r-project.org traceroute to wiki.r-project.org (193.190.194.5), 30 hops max, 40 byte packets 1 ctx-5500-n060.core.ufl.edu (128.227.60.1) 2.072 ms 2.182 ms 2.330 ms 2 128.227.111.233 (128.227.111.233) 0.393 ms 0.413 ms 0.535 ms 3 ctx36-nexus-msfc-1-v40-1.ns.ufl.edu (128.227.236.5) 0.427 ms 0.458 ms 0.459 ms 4 ctx36-ewan-msfc-1-v50-1.ns.ufl.edu (128.227.236.86) 1.212 ms 1.143 ms 1.111 ms 5 ssrb230a-ewan-msfc-1-v704-1.ns.ufl.edu (128.227.252.50) 0.960 ms 0.989 ms 0.966 ms 6 jax-flrcore-7609-1-te31-1805.net.flrnet.org (198.32.155.221)...

I aggregated my data: aggresults <-aggregate(results, by=list(results$a, results$b, results$c), FUN=mean, na.rm=TRUE) results has about 8000 lines of data, and aggresults has about 80 lines. I would like to create a separate variable for each of the 80 aggregates, each containing the 100 lines that were aggregated. I would also like to create plots for each of those 80 datasets. Is

...ame.default(formula = ff, data = x) : invalid variable names > print (ff) Surv(y, status) ~ ridge(V1, V2, V3, V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, V25, V26, V27, V28, V29, V30, V31, V32, V33, V34, V35, V36, V37, V38, V39, V40, V41, V42, V43, V44, V45, V46, V47, V48, V49, V50, V51, V52, V53, V54, V55, V56, V57, V58, V59, V60, V61, V62, V63, V64, V65, V66, V67, V68, V69, V70, V71, V72, V73, V74, V75, V76, V77, V78, V79, V80, V81, V82, V83, V84, V85, V86, V87, V88, V89, V90, V91, V92, V93, V94, V95, V96...

...erable effort has been put into making plyr fast and memory efficient, and in many cases plyr is as fast as, or faster than, the built-in equivalents. A detailed introduction to plyr has been published in JSS: "The Split-Apply-Combine Strategy for Data Analysis", http://www.jstatsoft.org/v40/i01/. You can find out more at http://had.co.nz/plyr/, or track development at http://github.com/hadley/plyr. You can ask questions about plyr (and data manipulation in general) on the plyr mailing list. Sign up at http://groups.google.com/group/manipulatr. Version 1.5 ----------------------------...

...erable effort has been put into making plyr fast and memory efficient, and in many cases plyr is as fast as, or faster than, the built-in equivalents. A detailed introduction to plyr has been published in JSS: "The Split-Apply-Combine Strategy for Data Analysis", http://www.jstatsoft.org/v40/i01/. You can find out more at http://had.co.nz/plyr/, or track development at http://github.com/hadley/plyr. You can ask questions about plyr (and data manipulation in general) on the plyr mailing list. Sign up at http://groups.google.com/group/manipulatr. Version 1.5 ----------------------------...

...tpm(Apli.sample.I,IRT.param = TRUE) > par.est.I <- coef(para.est.I) Gussng Dffclt Dscrmn V32 0.009 -2.453 0.747 V33 0.310 0.444 0.694 V34 0.327 0.873 1.036 V35 0.031 -3.067 0.343 V36 0.054 -0.934 1.130 V37 0.001 -1.991 0.582 V38 0.004 -1.686 0.571 V39 0.003 -2.470 0.910 V40 0.207 0.421 1.307 V41 0.114 -0.843 1.024 > fix.c <- > cbind(rep(1:10),rep(1,10),matrix(as.vector(t(par.est.I[31:40,])[1,]))) > fix.b <- > cbind(rep(1:10),rep(2,10),matrix(as.vector(t(par.est.I[31:40,])[2,]))) > fix.a <- > cbind(rep(1:10),rep(3,10),matrix(as.vecto...