search for: q10

...How do I select different variables from a list of data frames. I have a list of 13 that looks like below. Each data frame has more variables than I need. How do I go through the list and select the variables that I need. In the example below, I need to get the variables "a", and "q10" and "q14" to be returned to two separate data frames. Thank you. Yours, Simon Kiss #####Sample data mylist<-list(df1=data.frame(a=seq(1,10,1), c=seq(1,109,1), q10=rep('favour', 10)), df2=data.frame(a=seq(1,10,1), b=seq(15,24,1), q14=rep('favour', 10))) #The va...

I was up late last night, and i had a thought on peeling that would probably provide 100% accurate peeling data to a decoder, but take a maximum of 1101 times normal time to encode (taking into account the range from q-1 to q10 ). ay you want to encode a track at q10, but you want it to be peelable. the 1101 encoder would encode from the source at every quantifiable level (since there are 2 decimal points of quality in at least oggdrop, giving 100 quantifiable levels per integer level of quality, giving 1001 from q0 to q...

...der], #4\n" + " vmul.f32 q0, q4, q8\n" + " bne 4f\n" + " b 5f\n" + "1:" + " vld1.32 {q4, q5}, [%[b]]!\n" + " vld1.32 {q8, q9}, [%[a]]!\n" + " vld1.32 {q6, q7}, [%[b]]!\n" + " vld1.32 {q10, q11}, [%[a]]!\n" + " subs %[len], %[len], #16\n" + " vmul.f32 q0, q4, q8\n" + " vmul.f32 q1, q5, q9\n" + " vmul.f32 q2, q6, q10\n" + " vmul.f32 q3, q7, q11\n" + " beq 3f\n" + "2:" + " vld...

..., I get an error that says "arguments imply differing number of rows." If that didn't make any sense...ultimately, here is what I'm trying (and failing) to produce as a LaTeX document... MALES FEMALES Q10 Med Q90 Q10 Med Q90 AGE xx xx xx xx xx xx BMI xx xx xx xx xx xx etc. xx xx xx xx xx xx Any help or guidan...

Hi I was surprised with size of Theora files and thought of feedback. Following 1minute duration Theora and Xvid files were made from a y4m file. The resolution is 1280x720: 1. Xvid 17MB 2. Ogg/Theora Q7 31MB 3. Ogg/Theora Q8 38MB 4. Ogg/Theora Q9 49MB 5. Ogg/Theora Q10 61MB The Xvid file was made using mencoder by 2 passes with following options: bitrate=2500:autoaspect:chroma_opt:vhq=4:bvhq=1:quant_type=mpeg:pass=1 The encoder_example was used to create Ogg/Theora files. It was noted y4m to Theora encoding was the fastest that I have ever seen. The Q9 Ogg/T...

...s at a time */ + "movs %5, %3, lsr #4;\n" + "beq .celt_fir1_process16_done_%=;\n" + + ".celt_fir1_process16_%=:\n" + /* Load 16 x values in q0, q1 lanes */ + "vld1.16 {q0-q1}, [%0]!;\n" + + /* Init four 32 bits sum in q7, q8, q9, q10 lanes */ + "vshll.s16 q7, d0, %[SIGSHIFT];\n" + "vshll.s16 q8, d1, %[SIGSHIFT];\n" + "vshll.s16 q9, d2, %[SIGSHIFT];\n" + "vshll.s16 q10, d3, %[SIGSHIFT];\n" + + /* Make previous samples vector for MAC in q5, q6 lanes */ + "...

...s at a time */ + "movs %5, %3, lsr #4;\n" + "beq .celt_fir1_process16_done_%=;\n" + + ".celt_fir1_process16_%=:\n" + /* Load 16 x values in q0, q1 lanes */ + "vld1.16 {q0-q1}, [%0]!;\n" + + /* Init four 32 bits sum in q7, q8, q9, q10 lanes */ + "vshll.s16 q7, d0, %[SIGSHIFT];\n" + "vshll.s16 q8, d1, %[SIGSHIFT];\n" + "vshll.s16 q9, d2, %[SIGSHIFT];\n" + "vshll.s16 q10, d3, %[SIGSHIFT];\n" + + /* Make previous samples vector for MAC in q5, q6 lanes */ + "...

...ency tables) for participation vs all of the other factors. In SPSS I would do: CROSSTABS /TABLES= (my other factors) BY participation /FORMAT=NOTABLES /STATISTICS=CHISQ /COUNT ROUND CELL. In R I have tried something like: mapply(chisq.test,participation,surv3[,names(surv3) %in% c('q10','q44')]) which should be effectively the same as chisq.test(participation,q10) chisq.test(participation,q44) except maybe I could store the results better.... but I get told that x and y are not the same length, and in this case, length() of the y argument is 2, which yes, is not...

....5 0.0e+00 Q3 <--- G param4 0.74 0.066 11.2 0.0e+00 Q4 <--- G param6 0.81 0.068 11.9 0.0e+00 Q6 <--- G param7 0.65 0.060 11.0 0.0e+00 Q7 <--- G param9 0.60 0.059 10.1 0.0e+00 Q9 <--- G param10 0.64 0.065 9.9 0.0e+00 Q10 <--- G param11 0.72 0.054 13.3 0.0e+00 Q11 <--- G param12 0.59 0.063 9.3 0.0e+00 Q12 <--- G param13 0.61 0.069 8.7 0.0e+00 Q13 <--- G param14 0.70 0.074 9.6 0.0e+00 Q14 <--- G param15 0.68 0.066 10.4 0.0e+00 Q15 <--- G...

I took 5 albums (Classical music) and converted them to Ogg Vorbis at "Full Bitrate" (-q10) and all 5 directories take up about 775 Megs which won't fit on a CD. So I ripped them again in WAV first (And give my friend back his CDs) but now I wanna know what quality setting should I use to fit them on 1 CD (The highest possible with total space used just under 700 Megs)...

...nt 0 0 0 1 0 -1 -1 1 1 -1 ... $ Q4 : int -1 0 0 0 0 -1 0 -1 0 -1 ... $ Q5 : int 0 0 0 -1 0 -1 0 -1 0 0 ... $ Q6 : int 0 0 0 1 0 -1 0 -1 0 0 ... $ Q7 : int 0 1 1 0 0 0 1 0 1 1 ... $ Q8 : int 0 0 0 0 0 -1 0 0 1 0 ... $ Q9 : int 0 1 0 0 0 -1 0 -1 1 -1 ... $ Q10 : int 0 0 0 0 -1 -1 0 -1 0 0 ... > summary(C) TIME Sector COMP Q1 Q2 Min. :1.000 D:130 A: 4 Min. :-1.000 Min. :-1.0000 1st Qu.:2.000 F:126 B: 4 1st Qu.: 0.000 1st Qu.: 0.0000 Median :3.000 G:158 C: 4 Median : 1.000 Me...

From: Jyri Sarha <jsarha at ti.com> I optimized Speex resampler for NEON capable ARM CPUs. The first patch should speed up resampling on any platform that can spare the increased memory usage. It would be nice to have these merged to the master branch. Please let me know if there is anything I can do to help the the merge. The patches have been rebased on top of master branch in

...ideos within <video>, but not as a standalone file (i.e., directly from the URL). I did not take the time yet to prepare a simple page to replicate this test in that manner. The two files I used for testing were the following: http://media.basilgohar.com/preview/theora/balcony-2-vga30p.y4m-q10.ogv http://media.basilgohar.com/preview/theora/balcony-4-vga30p.y4m-q10.ogv What inspired me to make this test is the fact that gmaxwell (I think) in #theora mentioned the problem, and linked to a reddit comment he made in response to someone's criticism of libtheora's quality compared wit...

On 21 September 2012 09:28, Sebastien DELDON-GNB <sebastien.deldon at st.com> wrote: > declare <16 x float> @llvm.arm.neon.vmaxs.v16f32(<16 x float>, <16 x float>) nounwind readnone > > llc fails with following message: > > SplitVectorResult #0: 0x2258350: v16f32 = llvm.arm.neon.vmaxs 0x2258250, 0x2258050, 0x2258150 [ORD=3] [ID=0] > > LLVM ERROR: Do not

..., as shown below: Lastname Firstname CATALOG_NBR Email StudentID EMPLID Start 1 alastname afirstname 1213 *@uark.edu 10295236 # 12/2/2008 2 anotherlastname anotherfirstname 1213 **@uark.edu ## 10295236 9/3/2008 Xattempts Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 1 1 1 1 0 0 0 0 0 0 0 1 0 0 1 1 0 1 1 0 1 2 1 1 1 1 1 1 0 1 0 0 1 1 0 0 1 0 0 0 0 1 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30 Q31 Q32 Score Form CRSE_GRADE_OFF 1 0 0 0 0 0 0...

...128] add r3, r2, #48 vld1.64 {d16, d17}, [r2, :128] add r2, r2, #16 vld1.64 {d18, d19}, [r1, :128] vld1.64 {d26, d27}, [r12, :128] add r12, r1, #32 vld1.64 {d24, d25}, [r3, :128] add r1, r1, #16 vadd.f32 q11, q9, q8 vld1.64 {d28, d29}, [r12, :128] vadd.f32 q9, q13, q12 vadd.f32 q8, q14, q10 vld1.64 {d20, d21}, [r2, :128] vld1.64 {d24, d25}, [r1, :128] add r1, r0, #48 vadd.f32 q10, q12, q10 vst1.64 {d22, d23}, [r0, :128] vst1.64 {d18, d19}, [r1, :128] add r1, r0, #32 add r0, r0, #16 vst1.64 {d16, d17}, [r1, :128] vst1.64 {d20, d21}, [r0, :128] bx lr .Ltmp0: .size vaddf32, ....

...&& DRM_GMA500 && DRM_SHMOBILE && DRM_TILCDC && DRM_FSL_DCU && DRM_TINYDRM && DRM_PARADE_PS8622 && FB_BACKLIGHT && FB_ARMCLCD && FB_MX3 && USB_APPLEDISPLAY && FB_OLPC_DCON && ACPI_CMPC && SAMSUNG_Q10) selects BACKLIGHT_CLASS_DEVICE which has unmet direct dependencies (HAS_IOMEM && BACKLIGHT_LCD_SUPPORT) > > It turns out that amost all users of BACKLIGHT_CLASS_DEVICE also select > BACKLIGHT_LCD_SUPPORT, but not all of them do. This makes the remaining > ones behave like the o...

...&& DRM_GMA500 && DRM_SHMOBILE && DRM_TILCDC && DRM_FSL_DCU && DRM_TINYDRM && DRM_PARADE_PS8622 && FB_BACKLIGHT && FB_ARMCLCD && FB_MX3 && USB_APPLEDISPLAY && FB_OLPC_DCON && ACPI_CMPC && SAMSUNG_Q10) selects BACKLIGHT_CLASS_DEVICE which has unmet direct dependencies (HAS_IOMEM && BACKLIGHT_LCD_SUPPORT) It turns out that amost all users of BACKLIGHT_CLASS_DEVICE also select BACKLIGHT_LCD_SUPPORT, but not all of them do. This makes the remaining ones behave like the others. It would pr...

...s at a time */ + "movs %5, %3, lsr #4;\n" + "beq .celt_fir1_process16_done_%=;\n" + + ".celt_fir1_process16_%=:\n" + /* Load 16 x values in q0, q1 lanes */ + "vld1.16 {q0-q1}, [%0]!;\n" + + /* Init four 32 bits sum in q7, q8, q9, q10 lanes */ + "vshll.s16 q7, d0, %[SIGSHIFT];\n" + "vshll.s16 q8, d1, %[SIGSHIFT];\n" + "vshll.s16 q9, d2, %[SIGSHIFT];\n" + "vshll.s16 q10, d3, %[SIGSHIFT];\n" I think C++-style comments should be avoided (or not mixed with C-style) I'...

...y(strsplit(stbl$count, ":", fixed = TRUE), as.numeric) len <- length(index) for (i in 1:len) { v <- wtd.quantile(index[[i]], count[[i]], c(0, 0.2, 0.5, 0.8, 1)) stbl$q0[i] <- v[1] stbl$q2[i] <- v[2] stbl$q5[i] <- v[3] stbl$q8[i] <- v[4] stbl$q10[i] <- v[5] } It works fine for a small N, but it get quickly inefficient as N grows. The for-loop takes too long. How could I improve the code or data representation so it can run fast? Thanks, Seung