search for: cady

I'm working with a large dataset - large enough that when I do a scatter plot the points all blur together, so I want to plot their density by color - a heat map or something like that. I've used smoothScatter for tasks like this, but the problem is that my current dataset really only looks good on a log-log scale. When I do the following command smoothScatter( data,

...in 1:length(a)) { air$nctrl[a[j]]<-sum(air$mi[a[-j]]) } } #create cases and controls cami<-rep(1,sum(mi)) ctmi<-rep(0,sum(air$nctrl)) capm<-rep(pm10, mi) ctpm<-rep(pm10, air$nctrl) cast<-rep(air$stratn, mi) ctst<-rep(air$stratn, air$nctrl) cady<-rep(dates, mi) ctdy<-rep(dates, air$nctrl) cases<-c(cami, ctmi) stranu<-c(cast, ctst) days<-c(cady, ctdy) pmva<-c(capm, ctpm) air2<-data.frame(cases, days, pmva,stranu) air.cl<-clogit(cases~pmva + strata(stranu), method="approximate", data=air2) air....

...n==lest[i]) ?? for (j in 1:length(a)) ?? { ????? air$nctrl[a[j]]<-sum(air$mi[a[-j]]) ?? } } #create cases and controls cami<-rep(1,sum(mi)) ctmi<-rep(0,sum(air$nctrl)) capm<-rep(pm10, mi) ctpm<-rep(pm10, air$nctrl) cast<-rep(air$stratn, mi) ctst<-rep(air$stratn, air$nctrl) cady<-rep(dates, mi) ctdy<-rep(dates, air$nctrl) cases<-c(cami, ctmi) stranu<-c(cast, ctst) days<-c(cady, ctdy) pmva<-c(capm, ctpm) air2<-data.frame(cases, days, pmva,stranu) air.cl<-clogit(cases~pmva + strata(stranu), method="approximate", data=air2) air.glm<-glm(...

...gining, but with the same end result. Again, I appreciate the replies and help understanding D43383. I'm going to continue to experiment given this information. Thanks, Justin > On Nov 4, 2020, at 2:35 PM, Fangrui Song <maskray at google.com> wrote: > > On 2020-11-04, Justin Cady wrote: >> Thank you both for your replies, the links to the source, and the details about preemptible symbols. >> >>> If you are using an older linker (either GNU ld or LLD), it may not have such a diagnostic. >> >> Thank you for this concise example. The linker d...

Hi, I'm in the process of migrating from clang5 to clang10. Unfortunately clang10 introduced a negative performance impact. The cause is an increase of PLT entries from this patch (first released in clang7): https://bugs.llvm.org/show_bug.cgi?id=36370 https://reviews.llvm.org/D43383 If I revert that clang patch locally, the additional PLT entries and the performance impact disappear. This

if ya' haven't seen it already, check out: http://www.canoe.ca/MoneyWSJ/wsj2-dow.html ad, sad, sad. on many fronts. I don't begin to understand how this might work; I suppose the MP3 degradation only applies to MS encoding software... *shrug* this may, however, provide a good leveraging point for Vorbis. have fun dongoodman

Hi All, I''ve finally got fed up of struggling with Windows and am on the verge of splashing out on a Macbook for Ruby/Rails development. I''ve seen DHH''s post about it on loudthinking but I wondered if anyone else has any more wisdom... Is it worth it over a powerbook? Any tips on good OSX apps for Rails dev (textmate, i know already)? Anything not working well on

I've gone over the data and do not see my error; the dput() output of the data frame and the pdf output of cenboxplot() are attached. The command used: cenboxplot(sb.t$quant, sb.t$ceneq1, range=1.5, main='Total Recoverable Antimony', xlab='Pre-Mining Era', ylab='Concentration (log mg/L)') (on a single line in emacs). The RL on the plot is drawn at 0.01 rather

I've searched the Web with Google and do not find what might cause this particular error from an invocation of cenboxplot: cenboxplot(cu.t$quant, cu.t$ceneq1, cu.t$era, range=1.5, main='Total Recoverable Copper', ylab='Concentration (mg/L)', xlab='Time Period') Error in if (n > 0) (1L:n - a)/(n + 1 - 2 * a) else numeric() : argument is of length zero I do