search for: _cons

...0g Predicted mean r1m3p float %9.0g Predicted mean _est_r1m2 byte %8.0g esample() from estimates store r1m2use float %9.0g S.E. of empirical Bayes means for _cons[district] r1m2u float %9.0g empirical Bayes means for _cons[district] pickone byte %8.0g tag(district) r1m2urank float %9.0g rank of (r1m2u) _est_r1m3 byte %8.0g...

...float %9.0g Predicted mean > > _est_r1m2 byte %8.0g esample() from estimates > store > > r1m2use float %9.0g S.E. of empirical Bayes > means > > for > > _cons[district] > > r1m2u float %9.0g empirical Bayes means for > > _cons[district] > > pickone byte %8.0g tag(district) > > r1m2urank float %9.0g rank of...

...---------------------------------------------------- anxietyscore | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- cc | 2.289007 .7492766 3.05 0.002 .8204519 3.757562 _cons | 3.116074 .5464282 5.70 0.000 2.045094 4.187053 ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ Random-effects Parameters | Estimate Std. Err. [95% Conf. Interv...

...-------------------------------- educ | .0918763 .0106597 8.62 0.000 .0709836 .1127689 ...................... d86 | .0919476 .0712293 1.29 0.197 -.0476592 .2315544 d87 | .1349289 .0813135 1.66 0.097 -.0244427 .2943005 _cons | .0235864 .1506683 0.16 0.876 -.271718 .3188907 -------------+---------------------------------------------------------------- sigma_u | .32460315 sigma_e | .35099001 rho | .46100216 (fraction of variance due to u_i) 2) can R do Fixed-effects (within)...

...Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- educy | .0120431 .0004441 27.12 0.000 .0111725 .0129136 agri | .0293177 .0035586 8.24 0.000 .022343 .0362924 _cons | -3.325073 .0076275 -435.93 0.000 -3.340023 -3.310123 _Y | (exposure) -------------+---------------------------------------------------------------- /lnalpha | -4.982977 .1156474 -5.209641 -4.756312 -------------+-----------------------------------...

...on the R heap - vector memory in large blocks (from malloc) - memory in nodes on the R heap - number of calls to the internal function duplicate in the time interval (*Q1:* Are the units of the first 3 stats in bytes?) and from the gc() documentation, the two rows represent - ?"Ncells"? (_cons cells_), usually 28 bytes each on 32-bit systems and 56 bytes on 64-bit systems, - ?"Vcells"? (_vector cells_, 8 bytes each) (*Q2:* how are Ncells and Vcells related to small heap/large heap/memory in nodes?) And I guess the question that lead to these other questions is - *Q3:* I'd...

...-.426954 mdeo -.7938904 .3727571 -2.13 0.034 -1.528078 -.0597025 str 2 -1.122691 .5731879 -1.96 0.051 -2.25165 .0062682 3 -2.056682 .6350485 -3.24 0.001 -3.307483 -.8058812 evprivate -1.962431 .5674143 -3.46 0.001 -3.080018 -.8448431 _cons 2.308699 .7274924 3.17 0.002 .8758187 3.741578 the best that i get in R was: glm(formula = bach ~ job2 + mujer + egp4 + programa + delay + mdeo + str + evprivate, family = quasibinomial(link = "logit"), weights = wst7) Deviance Residuals: Min 1Q...

....004059 6.81 0.000 .019667 .0355781 eco_lnM | -.0214237 .0039927 -5.37 0.000 -.0292494 -.0135981 _Iyear_1998 | -.0317684 .0013978 -22.73 0.000 -.034508 -.0290287 _Iyear_1999 | -.0647261 .0027674 -23.39 0.000 -.0701501 -.0593021 _cons | 1.802112 .009304 193.69 0.000 1.783876 1.820348 -------------+---------------------------------------------------------------- sigma_u | .38142386 sigma_e | .2173114 rho | .75494455 (fraction of variance due to u_i) -----------------------------------...

...04059 6.81 0.000 .019667 .0355781 eco_lnM | -.0214237 .0039927 -5.37 0.000 -.0292494 -.0135981 _Iyear_1998 | -.0317684 .0013978 -22.73 0.000 -.034508 -.0290287 _Iyear_1999 | -.0647261 .0027674 -23.39 0.000 -.0701501 -.0593021 _cons | 1.802112 .009304 193.69 0.000 1.783876 1.820348 -------------+---------------------------------------------------------------- sigma_u | .38142386 sigma_e | .2173114 rho | .75494455 (fraction of variance due to u_i) ------------------------------...

...is written in help(gc)) And in my mind, 1 unit of Ncells should be 20 bytes, so that: 1 unit of Vcells + 2 units of Ncells = 8 + 2*20 = 48, the size of x as returned by the command object.size(x). BUT, when you look at help(gc), one can read: ?gc? returns a matrix with rows ?"Ncells"? (_cons cells_), usually 28 bytes each on 32-bit systems and 56 bytes on 64-bit systems, So, can you please help me to undertsand all of this? Thanks in advance. Best regards, Pierre -- Pierre Lafaye de Micheaux Adresse courrier: D?partement de Math?matiques et Statistique Universit? de Montr?al CP...

....060 -.0064197 .3141793 _Ist_49 | .0191617 .0332331 0.58 0.564 -.0459873 .0843107 _Ist_50 | .033731 .0389537 0.87 0.387 -.0426325 .1100945 _Ist_51 | .0431437 .0482243 0.89 0.371 -.0513934 .1376808 _Ist_52 | (dropped) _cons | .0765964 .0365322 2.10 0.036 .00498 .1482128 ------------------------------------------------------------------------------

Dear ALL, I'm trying to figure out what the percentage effects are in a logistic regression. To be more clear, I'm not interested in the effect on y of a 1-unit increase in x, but on the percentage effect on y of a 1% increase in x (in economics this is also often called an "elasticity"). For example, if my independent variables are in logs, the betas can be directly

...------------------------------------------------------ gender | -.4311844 .1396656 -3.087 0.002 -.704924 -.1574448 mathnce | -.001601 .00485 -0.330 0.741 -.0111067 .0079048 langnce | -.0143475 .0055815 -2.571 0.010 -.0252871 -.003408 _cons | 3.147254 .3211669 9.799 0.000 2.517778 3.776729 ---------+-------------------------------------------------------------------- /lnalpha | .2533877 .0955362 .0661402 .4406351 ---------+--------------------------------------------------------...

...so that: >> 1 unit of Vcells + 2 units of Ncells = 8 + 2*20 = 48, the size of >> x as >> returned by the command object.size(x). >> >> BUT, when you look at help(gc), one can read: >> ?gc? returns a matrix with rows ?"Ncells"? (_cons cells_), >> usually >> 28 bytes each on 32-bit systems and 56 bytes on 64-bit systems, >> >> So, can you please help me to undertsand all of this? >> >> Thanks in advance. >> >> Best regards, >> >> Pierre >...

...eco_lnM | -.0214237 .0039927 -5.37 0.000 -.0292494 -.0135981 > > > > _Iyear_1998 | -.0317684 .0013978 -22.73 0.000 -.034508 -.0290287 > > > > _Iyear_1999 | -.0647261 .0027674 -23.39 0.000 -.0701501 -.0593021 > > > > _cons | 1.802112 .009304 193.69 0.000 1.783876 1.820348 > > > > -------------+---------------------------------------------------------------- > > > > sigma_u | .38142386 > > > > sigma_e | .2173114 > > > > rho | .75494455...

This patch series implements the Linux Xen guest in terms of the paravirt-ops interface. The features in implemented this patch series are: * domU only * UP only (most code is SMP-safe, but there's no way to create a new vcpu) * writable pagetables, with late pinning/early unpinning (no shadow pagetable support) * supports both PAE and non-PAE modes * xen console * virtual block

This patch series implements the Linux Xen guest in terms of the paravirt-ops interface. The features in implemented this patch series are: * domU only * UP only (most code is SMP-safe, but there's no way to create a new vcpu) * writable pagetables, with late pinning/early unpinning (no shadow pagetable support) * supports both PAE and non-PAE modes * xen console * virtual block

This patch series implements the Linux Xen guest in terms of the paravirt-ops interface. The features in implemented this patch series are: * domU only * UP only (most code is SMP-safe, but there's no way to create a new vcpu) * writable pagetables, with late pinning/early unpinning (no shadow pagetable support) * supports both PAE and non-PAE modes * xen console * virtual block

Hi Andi, This patch series implements the Linux Xen guest as a paravirt_ops backend. The features in implemented this patch series are: * domU only * UP only (most code is SMP-safe, but there's no way to create a new vcpu) * writable pagetables, with late pinning/early unpinning (no shadow pagetable support) * supports both PAE and non-PAE modes * xen hvc console (console=hvc0) *

Hi Andi, This patch series implements the Linux Xen guest as a paravirt_ops backend. The features in implemented this patch series are: * domU only * UP only (most code is SMP-safe, but there's no way to create a new vcpu) * writable pagetables, with late pinning/early unpinning (no shadow pagetable support) * supports both PAE and non-PAE modes * xen hvc console (console=hvc0) *