similar to: creating a "report" table from a set of lists

I've been trying to figure out how to prevent a column that is the result of an aggregate function call so that I can use it in further calculations. For example, I would like to aggregate the expf for the data.frame by sp (character) and dbh (double d=rounded to integer) using the command: > st2 <- aggregate( ntrs$expf, by=list(sp=ntrs$sp,dbh=ntrs$dbh), sum ) > st2$expf <- st2$x

We've got both an sqrtf and an expf opcode in our architecture. If I call sqrt() on the C side, I see the sqrtf opcode show up in the generated assembly. However, if I call exp() on the C side, I don't see the expf opcode show up on the generated assembly, I see a call to an exp function from libm. Here's what we've got in our TargetInstrinfo.td file for both of these

R-folks, Is there a function, like aggregate, that allows users to bin values? I've got to break down a data frame into classes of 5cm (or something like it), and I only know how to do it using code like, signif <- symnum( stems$dbh, corr = FALSE, na = FALSE, cutpoints = c(0,10,20,30,40,999), symbols = c(0,10,20,30,40) )

Hello, I'm having some trouble with getTripCount() ... again. In particular it fails in the first of the following two examples, although it works for the second. By fails, I mean it returns NULL. ---------- example 1 ---------- test1(int *a, const int *ip) { int k; for (k = 0; k < ip[2]; ++k) { a[k] = (k+11)/(k+2); } } ---------- example 2 ---------- test2(int

Hi, I wonder what is the right way to target an old glibc? I have a machine which is up to date (glibc 2.32 and clang+lld 10.0.1). So far I've been able to target older glibc by having a C file containing: __asm__(".symver powf,powf at GLIBC_2.2.5"); __asm__(".symver expf,expf at GLIBC_2.2.5"); __asm__(".symver exp2f,exp2f at GLIBC_2.2.5");

Dear All, I need to write an R function which computes values of Probabilities for the (standard) normal distribution, ¦µ(z) for z > 0 by summing this power series. (We should accumulate terms until the sum doesn't change). I also need to make the function work for vector of values z. The initial fomular is ¦µ(z) = ( 1/ sqrt(2¦Ð) )* ¡Ò e^(-t^2/2)dt (¡Ò is from -¡Þ, z)

On Tue, Nov 10, 2020 at 7:01 PM Fāng-ruì Sòng <maskray at google.com> wrote: > > How to find what is pulling libmvec? > > If you build a -DCMAKE_BUILD_TYPE=Debug lld, you can set a breakpoint > on lld/ELF/MarkLive.cpp:114 (ss->getFile().isNeeded) and check which > symbol makes > libmvec.so needed. I'm afraid this is going to far for me :) > > On the other

On Wed, Oct 28, 2020 at 6:07 PM Fangrui Song <maskray at google.com> wrote: > > On 2020-10-28, Alexandre Bique via llvm-dev wrote: > >Hi, > > > >I wonder what is the right way to target an old glibc? > > > >I have a machine which is up to date (glibc 2.32 and clang+lld 10.0.1). > > > >So far I've been able to target older glibc by having a

I would like to produce a set of values, on the same chart, from an sql table that is structured like... species dbh ht expf DF 1.2 8.9 10.0 DF 2.4 17.3 12.4342 DF 3.1 20.9 56.76 PP 2.3 16.9 100.0 PP 12.8 97.3 40.3 PP 8.2 63.0 98.34 . . . SS blah, blah, blah... is it possible to, using a single command in the plot command to plot the different groups on the same plot or will I have to iterate

I want to try to get VGA passthrough working in a Windows 7 x64 domU. I''m running debian squeeze/testing/unstable with Jeremy''s 2.6.32.x kernel. The best I got to work is the device showing up under Windows 7, with all resources and whatnot. I''ve applied the vga-loadbios patch and vBAR-pBAR patch to xen, and the vBAR-pBAR patch to qemu-dm. This behaviour

This patch fixes size of ttbcr register (TCR_EL1 in case of AArch64) and it''s programming considering size in case of context switch. Currently ttbcr is defined as 32b register but for AArch64 TCR_EL1 size is 64b. Signed-off-by: Anup Patel <anup.patel@linaro.org> Signed-off-by: Pranavkumar Sawargaonkar <pranavkumar@linaro.org> --- xen/arch/arm/domain.c | 8

I've been attempting to perform some analysis on a model that was interfaced with R (R calls a library that takes SEXPs and converts the data frames into the internal structures of data), and I notice that for small data.frames the vectors don't get corrupt (n<200-ish). When I pass in larger data.frames, the vectors will become corrupt. I've been PROTECTING the heck out of

It did partially fix the issue but there is still one problem: llvm-objdump -sx gives: Version References: required from libpthread.so.0: 0x09691a75 0x00 05 GLIBC_2.2.5 0x09691972 0x00 09 GLIBC_2.3.2 0x09691973 0x00 07 GLIBC_2.3.3 0x06969192 0x00 12 GLIBC_2.12 required from libdl.so.2: 0x09691a75 0x00 21 GLIBC_2.2.5 required from libuuid.so.1: 0x09da27b0 0x00 19

Frank Harrell rote in a message dating from Oct 8th: > n.group is an argument to latex.default in the Hmisc package I must admit that I can't find it in the function head, which reads on my installation: function (object, title = first.word(deparse(substitute(object))), file = paste(title, ".tex", sep = ""), append = FALSE, label = title, rowlabel = title,

I have a data frame with two columns, one of which is a factor (Species) and the other is numeric (BA, which stands for basal area). Here's a sample: Species BA ACSA 55.7632696 FRAM 122.9933524 ACSA 67.54424205 ACSA 89.22123136 ACSA 82.46680716 ACSA 22.46238747 ACSA 19.94911335 ACSA 20.42035225 ACSA 19.00663555 ACSA 21.67698931 ACSA 57.80530483 ACSA 30.31636911 Dead 43.98229715 Dead

Hi, I came across an issue where some optimizations that would normally be applied to standard math function calls are not getting applied when the –ffast-math option is enabled on the Clang command line on a Linux x86_64 target. I tracked down the issue to occurring because the –ffast-math option is triggering Clang to preprocess the math.h header file with the __FINITE_MATH_ONLY__ macro set

This is my first time posting, sorry if i don''t use the proper etiquette. I''ve successfully passed through my secondary GPU to a windows 7 hvm. Configuration: Secondary GPU is 9600 GT dom0 is jeremy''s pvops xen source xen-4.0.2-rc1-pre Patches from applied http://lists.xensource.com/archives/html/xen-devel/2010-05/msg00441.html MSI.9600.GT.bin as

Dear R users, I am using lme and nlme to account for spatially correlated errors as random effects. My basic question is about being able to correct F, p, R2 and parameters of models that do not take into account the nature of such errors using gls, glm or nlm and replace them for new F, p, R2 and parameters using lme and nlme as random effects. I am studying distribution patterns of 50 tree

Dear List, I'm an [R] novice starting analysis of an ecological dataset containing the basal areas of different tree species in a number of research plots. Example data follow: > Trees<-data.frame(SppID=as.factor(c(rep('QUEELL',2), rep('QUEALB',3), 'CORAME', 'ACENEG', 'TILAME')), BA=c(907.9, 1104.4, 113.0, 143.1, 452.3, 638.7, 791.7, 804.3),

Hi everyone, I have been working some days in a nested loop in R but I can't find the solution. I have a data.frame with an unique ID for individuals and unique ID for different stands, for each indiviadual I have a dbh record and a SBA (stand basal area) field. Pma<-rep (1:40) P<-seq(1,4, 1) Plot<-rep(P,10) dbh2<-rnorm(40, mean=200, sd=5) SBA2<-rnorm(40, mean=10, sd=1) As