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Usually the y-axis is shown on the left-hand-side of a graph, is it possible to artifically creat one more y-axis on the right-hand-side in R? What is the main reference? Thank you in advance. [[alternative HTML version deleted]]

...831 0.06317244 -0.40974292 NA > vcov(mod.glm) (Intercept) GNP Population (Intercept) 190.0269691 0.1445617813 -2.0954381 GNP 0.1445618 0.0001133631 -0.0016054 Population -2.0954381 -0.0016053999 0.0231456 ---------------- Moreoever, lm() has a singular.ok() argument that defaults to TRUE, but glm() doesn't have this argument: ---------------- > mod.lm <- lm(Employed ~ GNP + Population + I(GNP + Population), + data=longley, singular.ok=FALSE) Error in lm.fit(x, y, offset = offset, singular.ok = sin...

On Tue, Feb 28, 2017 at 01:02:18PM +0800, Yuanhan Liu wrote: > On Wed, Feb 08, 2017 at 05:20:14AM +0200, Michael S. Tsirkin wrote: > > This is an update from v1 version. > > Changes: > > - update event suppression mechanism > > - separate options for indirect and direct s/g > > - lots of new features > > > > --- > > > > Performance

On Tue, Feb 28, 2017 at 01:02:18PM +0800, Yuanhan Liu wrote: > On Wed, Feb 08, 2017 at 05:20:14AM +0200, Michael S. Tsirkin wrote: > > This is an update from v1 version. > > Changes: > > - update event suppression mechanism > > - separate options for indirect and direct s/g > > - lots of new features > > > > --- > > > > Performance

...NA >> vcov(mod.glm) > (Intercept) GNP Population > (Intercept) 190.0269691 0.1445617813 -2.0954381 > GNP 0.1445618 0.0001133631 -0.0016054 > Population -2.0954381 -0.0016053999 0.0231456 > ---------------- > Moreoever, lm() has a singular.ok() argument that defaults to TRUE, but glm() doesn't have this argument: > ---------------- >> mod.lm <- lm(Employed ~ GNP + Population + I(GNP + Population), > + data=longley, singular.ok=FALSE) > Error in lm.fit(x, y,...

...It won't take long to me. But > currently, I was still focusing on analysising the performance behaviour > of virtio 0.95/1.0 (when I get some time), to see what's not good for > performance and what's can be improved. > > Besides that, as said, I often got interrupted. Moreoever, DPDK v17.05 > code freeze deadline is coming. So it's just a remind that I may don't > have time for it recently. Sorry for that. > > > > > * Device specific descriptor flags > > > > We have a lot of unused space in the descriptor. This can be put to &g...

...gt; vcov(mod.glm) >> (Intercept) GNP Population >> (Intercept) 190.0269691 0.1445617813 -2.0954381 >> GNP 0.1445618 0.0001133631 -0.0016054 >> Population -2.0954381 -0.0016053999 0.0231456 >> ---------------- >> Moreoever, lm() has a singular.ok() argument that defaults to TRUE, but glm() doesn't have this argument: >> ---------------- >>> mod.lm <- lm(Employed ~ GNP + Population + I(GNP + Population), >> + data=longley, singular.ok=FALSE) >> Error...

...tercept) GNP Population > >> (Intercept) 190.0269691 0.1445617813 -2.0954381 > >> GNP 0.1445618 0.0001133631 -0.0016054 > >> Population -2.0954381 -0.0016053999 0.0231456 > > >> ---------------- > > >> Moreoever, lm() has a singular.ok() argument that defaults to TRUE, but > glm() doesn't have this argument: > > >> ---------------- > > >>> mod.lm <- lm(Employed ~ GNP + Population + I(GNP + Population), > >> + data=longley, singular....

...P Population >> >> (Intercept) 190.0269691 0.1445617813 -2.0954381 >> GNP >> 0.1445618 0.0001133631 -0.0016054 >> Population >> -2.0954381 -0.0016053999 0.0231456 >> >> >> ---------------- >> >> >> Moreoever, lm() has a singular.ok() argument that >> defaults to TRUE, but glm() doesn't have this argument: >> >> >> ---------------- >> >> >>> mod.lm <- lm(Employed ~ GNP + Population + I(GNP + >> Population), >> +...

...uld like to benchmark it. It won't take long to me. But currently, I was still focusing on analysising the performance behaviour of virtio 0.95/1.0 (when I get some time), to see what's not good for performance and what's can be improved. Besides that, as said, I often got interrupted. Moreoever, DPDK v17.05 code freeze deadline is coming. So it's just a remind that I may don't have time for it recently. Sorry for that. > > > * Device specific descriptor flags > > > We have a lot of unused space in the descriptor. This can be put to > > > good use by...

...> >> (Intercept) 190.0269691 0.1445617813 -2.0954381 > > >> GNP 0.1445618 0.0001133631 -0.0016054 > > >> Population -2.0954381 -0.0016053999 0.0231456 > > > > >> ---------------- > > > > >> Moreoever, lm() has a singular.ok() argument that defaults to TRUE, > but glm() doesn't have this argument: > > > > >> ---------------- > > > > >>> mod.lm <- lm(Employed ~ GNP + Population + I(GNP + Population), > > >> +...