similar to: Help with increasing the speed of script

Hello, I have an R script that I use as a template to perform a task for multiple files (in this case, multiple chromosomes). What I would like to do is to utilize a simple loop to parse through each chromosome number so that I don't have to type the same code over and over again in the R console. I've tried using: for(i in 1:22){ etc.. } and replacing each chromosome number with

Hello, I have an input file: http://r.789695.n4.nabble.com/file/n3700031/testOut.txt testOut.txt where col 1 is chromosome, column2 is start of region, column 3 is end of region, column 4 and 5 is base position, column 6 is total reads, column 7 is methylation data, and column 8 is the strand. I would like a summary output file such as:

Hi I am really sorry for this probably quite simple question. I am new to R, and I am running a pipeline that has already been made. All I have to do is give the paths for different folders, where the pipeline can find the files with my data. But every time I try to run the pipeline it returns with the message, that it cannot find the file. And I really don't know why. I have found the path

Optimize celt_pitch_xcorr function (for fixed point). Even though same code in theory should work for ARMv7 as well, turning this on only for aarch64 at the moment since there is a fixed point asm implementation for ARMv7 neon. Signed-off-by: Viswanath Puttagunta <viswanath.puttagunta at linaro.org> --- celt/arm/celt_neon_intr.c | 268 ++++++++++++++++++++++++++++++++++++++++++++++

Optimize celt_pitch_xcorr function (for fixed point). Even though same code in theory should work for ARMv7 as well, turning this on only for aarch64 at the moment since there is a fixed point asm implementation for ARMv7 neon. Signed-off-by: Viswanath Puttagunta <viswanath.puttagunta at linaro.org> --- celt/arm/celt_neon_intr.c | 268 ++++++++++++++++++++++++++++++++++++++++++++++

Optimize celt_pitch_xcorr function (for floating point) using ARM NEON intrinsics for SoCs that have NEON VFP unit. To enable this optimization, use --enable-intrinsics configure option. Compile time and runtime checks are also supported to make sure this optimization is only enabled when the compiler supports neon intrinsics. --- Makefile.am | 12 ++

On 19 December 2014 at 17:25, Viswanath Puttagunta <viswanath.puttagunta at linaro.org> wrote: > Optimize celt_pitch_xcorr function (for floating point) > using ARM NEON intrinsics for SoCs that have NEON VFP unit. > > To enable this optimization, use --enable-intrinsics > configure option. > > Compile time and runtime checks are also supported to make sure > this

Optimize celt_pitch_xcorr function (for floating point) using ARM NEON intrinsics for SoCs that have NEON VFP unit. To enable this optimization, use --enable-intrinsics configure option. Compile time and runtime checks are also supported to make sure this optimization is only enabled when the compiler supports neon intrinsics. --- Makefile.am | 11 ++

Optimize celt_pitch_xcorr function (for floating point) using ARM NEON intrinsics for SoCs that have NEON VFP unit. To enable this optimization, use --enable-intrinsics configure option. Compile time and runtime checks are also supported to make sure this optimization is only enabled when the compiler supports neon intrinsics. --- Makefile.am | 12 ++

Hello Timothy, Appreciate the thorough review. Have a few questions before I re-spin the patch in-line. On 28 November 2014 at 15:52, Timothy B. Terriberry <tterribe at xiph.org> wrote: > Review comments inline. > >> +if OPUS_ARM_NEON_INTR >> +noinst_LTLIBRARIES = libarmneon.la >> +libarmneon_la_SOURCES = $(CELT_SOURCES_ARM_NEON_INTR) >>

Hello, I have some satellite tag time-at-depth (TAD) frequency data that I would like some help with. The data was transmitted via satellite as percent time spent in each of 7 depth bins (0m, 0-1m, 1-10m, 10-50m etc.), binned over 6-hour intervals. I categorized each row of data corresponding to a date and time into summer vs. winter, and day vs. night, and then summed and averaged the given

Sorry, I just realized I didn't type in the correct names of the variables I am working with, this is how it should be: plot(1,1,type="n") for (i in summ$tx) { points(summ$timep[summ$tx==i],summ$mn[summ$tx==i]) lines(summ$timep[summ$tx==i],summ$mn[summ$tx==i]) } Thank you, Judith ____________________________________________________________________________________

when I try to make a package coping R code such as tab1, summ, titleString, setTitle from epicalc package, the following problems are found. * using log directory 'C:/Rpackage/EpiStat.Rcheck' * using R version 2.10.0 (2009-10-26) * using session charset: ISO8859-1 * checking for file 'EpiStat/DESCRIPTION' ... OK * checking extension type ... Package * this is package

Optimize celt_pitch_xcorr function (for floating point) using ARM NEON intrinsics for SoCs that have NEON VFP unit. As initial step, targeting ARMv7 NEON (VFP3+) based SoCs. To enable this optimization, use --enable-arm-neon-intrinsics configure option. This flag is not enabled by default. Compile time and runtime checks are also supported to make sure this optimization is only enabled when the

Review comments inline. > +if OPUS_ARM_NEON_INTR > +noinst_LTLIBRARIES = libarmneon.la > +libarmneon_la_SOURCES = $(CELT_SOURCES_ARM_NEON_INTR) > +libarmneon_la_CPPFLAGS = $(OPUS_ARM_NEON_INTR_CPPFLAGS) -I$(top_srcdir)/include > +endif I don't think these should be in a separate library. It brings with it lots of complications (to name one: wouldn't the .pc files need to

Viswanath Puttagunta wrote: > + SUMM = vdupq_n_f32(0); It kills me that there's no intrinsic for VMOV.F32 d0, #0 (or at least I couldn't find one), so this takes two instructions instead of one. > + /* Consume 4 elements in x vector and 8 elements in y > + * vector. However, the 8'th element in y never really gets > + * touched in this loop. So, if len == 4,

Dear R experts, I am trying to optimize my script, because right now it requires a lot of memory. The goal is to generate four plots in one page. Every plot corresponds to the means and sem's calculated for a given variable at different days. In order to obtain the means and sem's I apply the 'by' function. The way I have done it so far is like this: Read the data Generate a

gcc 4.8's NEON intrinsics have bugs that prevent opus's NEON intrinsics from compiling. --- configure.ac | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configure.ac b/configure.ac index fca746f..f945b9a 100644 --- a/configure.ac +++ b/configure.ac @@ -471,7 +471,7 @@ AS_IF([test x"$enable_intrinsics" = x"yes"],[ ]], [[

Dear R experts, I am sorry for sending this email again. I would imagine yesterday and maybe today, have been very busy days with the release of R v 2.7.0. I join all the R users who are very gratful for your contant work and efforts, specially knowing that you are doing this for the sake of science, without gettig any compensation for that. Having written that, I decided to send the

Hi everyone (again), before you all start screaming that the reordering of factors has been discusse on several threads and is not particular to ggplot2, hear me out. I can easily reorder my x-axis factor in facet.grid() in ggplot2. What I cannot reorder are the factors represented on the strips. I can see that the graphs are changing, so I am afraid of what it is I am doing. Why is ggplot2