search for: 0.4375

Hi I'm trying to extract complete rows from a dataframe by group based on the maximum in a column within that group. Thus I have a dataframe: cvd_basestudy ... es_time ... _____________ study1 ... 0.3091667 study2 ... 0.3091667 study2 ... 0.2625000 study3 ... 0.3033333 study3 ... 0.2625000 __________ etc I can extract the basestudy and the max(es_time)

Hello Török. Török Edwin <edwintorok at gmail.com> writes: > On 2009-08-26 16:57, Óscar Fuentes wrote: >> llc needs 45 seconds. This is far worse than the 33 seconds used by the >> JIT. Maybe llc is using optimizations. My JIT have no optimizations >> enabled. >> >> Yup, llc -O0 takes 37.5 seconds. >> >> llc -pre-RA-sched=fast -regalloc=local

Dear All I want to arrange our output in 3 columns in R. Example: N 04320 03010 00514 00604 00563 03430 03022 V 22.000000 0.000000e+00 15.0000000 15.0000 13.0000 1.300000e+01 51.0000000 p 0.640625 2.910383e-11 0.4257812 0.4375 0.6875 3.356934e-04 0.2434998 N 03060 04140 03050 00562 00565 V 20.0000000 62.00000000 273.0000000

On Aug 26, 2009, at 7:47 AM, Óscar Fuentes wrote: >> Also if you use -time-passes with llc it should show which pass in >> llc >> takes so much time. > > These are the three main culprits for llc -O0 > > ---User Time--- --System Time-- --User+System-- ---Wall > Time--- --- Name --- > 10.9531 ( 30.0%) 0.4687 ( 58.8%) 11.4218 ( 30.6%) 11.5468

Dear R help, I have some readings in three dimensions (x, y, z) and an amplitude for each. I'd like to visualize the data using ggplot, using tile plots, as I have some additional point data I would like to eventually overlay on the tile plots. I would like to subset the data by sections, slices if you will, in the z dimension, and plot the data for that slice. I can do all of this, but am

Hi, I have a problem with a regression I try to run. I did an estimation of the market model with daily data. You can see to output below: /> summary(regression_resn) Time series regression with "ts" data: Start = -150, End = -26 Call: dynlm(formula = ror_resn ~ ror_spi_resn) Residuals: Min 1Q Median 3Q Max -0.0255690 -0.0030378 0.0002787

On 2009-08-26 16:57, Óscar Fuentes wrote: > llc needs 45 seconds. This is far worse than the 33 seconds used by the > JIT. Maybe llc is using optimizations. My JIT have no optimizations > enabled. > > Yup, llc -O0 takes 37.5 seconds. > > llc -pre-RA-sched=fast -regalloc=local takes 26 seconds. Much better but > still slow IMO. The question is if this avoids the non-linear

On Aug 26, 2009, at 8:32 AM, Chris Lattner <clattner at apple.com> wrote: > On Aug 26, 2009, at 7:47 AM, Óscar Fuentes wrote: >>> Also if you use -time-passes with llc it should show which pass in >>> llc >>> takes so much time. >> >> These are the three main culprits for llc -O0 >> >> ---User Time--- --System Time-- --User+System--

Dear users, Is anyone out there on a Saturday to answer this easy question? I have the "yo" object data in a "list" format: > str(yo) num [1:259, 1:173] 16.3 NA NA NA NA ... - attr(*, "dimnames")=List of 2 ..$ x: chr [1:259] "367319" "367329" "367309" "367339" ... ..$ y: chr [1:173] "780175"

Eli Friedman <eli.friedman at gmail.com> writes: > On Tue, Aug 25, 2009 at 4:58 PM, Óscar Fuentes<ofv at wanadoo.es> wrote: >> Eli Friedman <eli.friedman at gmail.com> writes: >> >>> On Wed, Aug 26, 2009 at 1:10 AM, Óscar Fuentes<ofv at wanadoo.es> wrote: >>>> While compiling some sources, translating from my compiler's IR to LLVM

Hi, I am trying to make a multi-class classification tree by using rpart. I used MASS package'd data: fgl to test and it works well. However, when I used my small-sampled data as below, the program seems to take forever. I am not sure if it is due to slowness or there is something wrong with my codes or data manipulation. Please be advised ! The data is described as the output from str()