search for: error_2

...000000 +0100 +++ src/libFLAC/ia32/fixed_asm.nasm 2002-09-17 16:19:08.000000000 +0200 @@ -76,107 +76,73 @@ push edi sub esp, byte 16 ; qword [esp] == temp space for loading FLAC__uint64s to FPU regs - ; dword [esp] == last_error_0 - ; dword [esp + 4] == last_error_1 - ; dword [esp + 8] == last_error_2 - ; dword [esp + 12] == last_error_3 - ; eax == error ; ebx == &data[i] ; ecx == loop counter (i) - ; edx == temp - ; edi == save ; ebp == order ; mm0 == total_error_1:total_error_0 - ; mm1 == total_error_3:total_error_2 - ; mm2 == 0:total_error_4 - ; mm3/4 == 0:unpackarea - ; mm5 ==...

...m(20,0,2) segment2=20-2*1:30+rnorm(30,0,5) segment3=-40+0.5*1:15+rnorm(15,0,1) group=c(rep(1,20),rep(2,30),rep(3,15)) y=c(segment1,segment2,segment3) Data=data.frame(y,t=1:65,group=as.factor(group)) the model I'd like to fit is: y_t= (beta_01+beta_11*t+error_1)*(group==1)+(beta_02+beta_12*t+error_2)*(group==2)+(beta_03+beta_13*t+error_3)*(group==3) It looks like a mixed effects model were the fixed effect are the piecewise linear regression parts (beta_0i+beta_1i*t) and the random effects are the variance components error_i. The problem is that I can't find the way the write this model...

Hola a todos. Estoy utilizando la función lmer del paquete lme4 para ajustar un modelo mixto. Tengo varias variables en mi data.frame, unas son a nivel individual y otras a nivel de comarcas. Listo algunas. ingre_6 : Ingresos (nivel individual) iscs_a : un indicador sintético resumen de otras variables, calculado mediante componentes principales. sau_com : superficie agraria útil de cada una

Hi, Is the http://xenbits.xensource.com/linux-2.6-xen.hg tree still being updated? if not, what''s the preferred Linux tree to track that has all of the Xen bits? Thanks, Muli _______________________________________________ Xen-devel mailing list Xen-devel@lists.xensource.com http://lists.xensource.com/xen-devel