search for: iim

...[1]) { >+ return -EACCES; >+ } >+ >+ ret = vmm_fp_emulate(fp_fault, &bundle, &regs->cr_ipsr, >&regs->ar_fpsr, >+ &isr, &regs->pr, &regs->cr_ifs, regs); >+ return ret.status; >+} >+ >+void reflect_interruption(u64 ifa, u64 isr, u64 iim, >+ u64 vec, REGS *regs) >+{ >+ u64 vector; >+ int status ; >+ VCPU *vcpu = current_vcpu; >+ u64 vpsr = VCPU(vcpu, vpsr); >+ >+ vector = vec2off[vec]; >+ >+ if (!(vpsr & IA64_PSR_IC) && (vector != >IA64_DATA_NESTED_TLB_VECTOR)) { >+ panic_vm(vcpu);...

...[1]) { >+ return -EACCES; >+ } >+ >+ ret = vmm_fp_emulate(fp_fault, &bundle, &regs->cr_ipsr, >&regs->ar_fpsr, >+ &isr, &regs->pr, &regs->cr_ifs, regs); >+ return ret.status; >+} >+ >+void reflect_interruption(u64 ifa, u64 isr, u64 iim, >+ u64 vec, REGS *regs) >+{ >+ u64 vector; >+ int status ; >+ VCPU *vcpu = current_vcpu; >+ u64 vpsr = VCPU(vcpu, vpsr); >+ >+ vector = vec2off[vec]; >+ >+ if (!(vpsr & IA64_PSR_IC) && (vector != >IA64_DATA_NESTED_TLB_VECTOR)) { >+ panic_vm(vcpu);...

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Hola, Soy nuevo manejando R y no tengo mucha experiencia. Estoy intentando modelar una función que me relacione el nº de cebas (nº de presas que los padres traen a los pollos) con el tamaño de parche de un bosque (factor categórico; 2 niveles= grande y pequeño). Al ser un conteo (nº de cebas) he pensado utilizar familia= poisson con link= logarítmico. He construido un GLMM con: Nº de cebas

...h R and I'm not able to change the NA values in a matrix by 0 values, and it's necessary for my work, how can I do It? Thank you. Alfonso Pérez Rodríguez Instituto de Investigaciones Marinas C/ Eduardo Cabello nº 6 C.P. 36208 Vigo (España) Tlf.- 986231930 Extensión 241 e-mail: fonsilei@iim.csic.es [[alternative HTML version deleted]]

..., I sure it's very simple but I've not encountered the way to do it. If someone can help me I would be very grateful, thank you Alfonso P?rez Rodr?guez Instituto de Investigaciones Marinas C/ Eduardo Cabello n? 6 C.P. 36208 Vigo (Espa?a) Tlf.- 986231930 Extensi?n 241 e-mail: fonsilei en iim.csic.es

....S + * itc.i + * itc.d + * + * bsw.0 + * bsw.1 + * + * ssm psr.ic | PSR_DEFAULT_BITS + * ssm psr.ic + * rsm psr.ic + * ssm psr.i + * rsm psr.i + * rsm psr.i | psr.ic + * rsm psr.dt + * ssm psr.dt + * + * mov = cr.ifa + * mov = cr.itir + * mov = cr.isr + * mov = cr.iha + * mov = cr.ipsr + * mov = cr.iim + * mov = cr.iip + * mov = cr.ivr + * mov = psr + * + * mov cr.ifa = + * mov cr.itir = + * mov cr.iha = + * mov cr.ipsr = + * mov cr.ifs = + * mov cr.iip = + * mov cr.kr = + */ + +/* for intrinsics + * ssm psr.i + * rsm psr.i + * mov = psr + * mov = ivr + * mov = tpr + * mov cr.itm = + * mov eoi =...

....S + * itc.i + * itc.d + * + * bsw.0 + * bsw.1 + * + * ssm psr.ic | PSR_DEFAULT_BITS + * ssm psr.ic + * rsm psr.ic + * ssm psr.i + * rsm psr.i + * rsm psr.i | psr.ic + * rsm psr.dt + * ssm psr.dt + * + * mov = cr.ifa + * mov = cr.itir + * mov = cr.isr + * mov = cr.iha + * mov = cr.ipsr + * mov = cr.iim + * mov = cr.iip + * mov = cr.ivr + * mov = psr + * + * mov cr.ifa = + * mov cr.itir = + * mov cr.iha = + * mov cr.ipsr = + * mov cr.ifs = + * mov cr.iip = + * mov cr.kr = + */ + +/* for intrinsics + * ssm psr.i + * rsm psr.i + * mov = psr + * mov = ivr + * mov = tpr + * mov cr.itm = + * mov eoi =...

...starts to appear when n >= 10. Why the inconsistency? compare <- function (n, k) choose(n,k) == gamma(n+1)/(gamma(k+1)*gamma(n-k+1)) compare(5,2) [1] TRUE compare(10,2) [1] FALSE compare(9,2) [1] TRUE compare(9,3) [1] TRUE #etc. _____________________________________ Paul S.P. Cowpertwait IIMS, Massey University, Albany, Private Bag 102 904 North Shore Mail Centre Auckland, NZ Tel (+64) (9) 443 9799 ext 9488 http://www.massey.ac.nz/~pscowper _____________________________________ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- R...

Hello, I have a dataframe of say 20 lines with one line per individual. I want to group these 20 individuals by length class (eg. of 5cm) and get the mean value of all the other variables (eg VarA and VarB) for each length class My dataframe is as follow: Length <- 10:30 VarA <- seq(1000,1200,10) VarB <- seq(500,700,10) Data <- cbind(Length,VarA,VarB) And I want to get something

Hola a todos: Debe de ser una tontería, pero no consigo saber porque la siguiente linea no devuelve la fecha actual: as.Date(as.numeric(Sys.time())) He hecho esa prueba porque no consigo pasar un numero convertido a partir de una fecha y modificado a fecha de nuevo. Gracias por adelantado. Un saludo, Alberto. [[alternative HTML version deleted]]

This patch set is intended for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops. The binary patch optimization is important on native case because the paravirt_ops overhead can be reduced by converting indirect

This patch set is intended for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops. The binary patch optimization is important on native case because the paravirt_ops overhead can be reduced by converting indirect

This patch set is intended for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops which depends on the patch series I sent out, ia64/pv_ops, xen: more paravirtualization. The binary patch optimization is important on

This patch set is intended for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops which depends on the patch series I sent out, ia64/pv_ops, xen: more paravirtualization. The binary patch optimization is important on

This patch set is for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops which depends on the patch series I sent out, ia64/pv_ops, xen: more paravirtualization. The binary patch optimization is important on native

This patch set is for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops which depends on the patch series I sent out, ia64/pv_ops, xen: more paravirtualization. The binary patch optimization is important on native

...] Apparently all of ImutIntervalAVLFactory public base class ImutAVLFactory protected member methods resolve to "identifier not found". Attached patch fixes that issue. Best regards, Thomas Veith -------------- next part -------------- A non-text attachment was scrubbed... Name: IIM.patch Type: application/octet-stream Size: 3642 bytes Desc: not available URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20100208/0d6cca9f/attachment.obj>

...16))) == round(choose(20,5)) [1] TRUE So I presume the problem is related to gamma being a real function. However, I'm still not sure why there's a break from TRUE to FALSE for certain values. Any comments would be appreciated! _____________________________________ Paul S.P. Cowpertwait IIMS, Massey University, Albany, Private Bag 102 904 North Shore Mail Centre Auckland, NZ Tel (+64) (9) 443 9799 ext 9488 http://www.massey.ac.nz/~pscowper _____________________________________ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- R...

Hello, My data are as following: Data <- data.frame(Ind=rep(1:3,c(10,10,10)), Replicate=rep(c(rep("a",5),rep("b",5)),3), EggSize=rep(rnorm(5,mean=10),6) ) attach(Data) Using a t-test, I want to check if the mean egg sizes are significantly different between replicates a and b for each individuals