similar to: Making descriptive analyisis in R

Dear R-Community, I'm currently trying to find a way to conduct a meta-analysis in R. I would like to analyze data from mostly-cross-sectional survey-studies. The effect sizes would be correlations. The R packages "meta" and "rmeta" are, as far as I can see, set up for analysis with effect sizes for differences (i.e. comparison of the means/odds-ratios of experimental

Hello all, I need to extract rows and columns from a data frame and put them in a matrix. In some cases, there are no rows in the data frame meeting the selection criteria. For those rows I want to put a row of 0's in the matrix. Here's my clumsy code: tab1.m1 <- matrix(0, nrow=2, ncol=4) tab1.m1[1,] <- ifelse(length(as.matrix(tab1[tab1$comp==the.comp & tab1$schlid==the.schl

Hi, I am trying to execute the following SQL statement using two data frames: tab1, tab2 : Two Tables Select tab1.*, tab2.*, tab1.tobiiTime - tab2.ruiTime as timeDiff, IFNULL(n-m, -9999999) as alwaysIncrement FROM tab1 LEFT OUTER JOIN tab2 On tab1.data1 - tab2.mouseX = 0 And tab1.data2 - tab2.mouseY = 0 I am trying to do the following in R:- *#Getting error here:* data

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 ++++++++++++++++++++++++++++++++++++++++++++++

HI Guy''s TAB1 and TAB2 have some radio button, checkbox and dropdown menu. When TAB1 is selected, I have to switch to TAB2 and then back to TAB1 to refresh the loaded content. How to make TAB1 refresh loaded content when click on its tab? *code is something like that* <ul class="tabs"> <li><a *href="#tab1"*>Gallery</a></li>

Dear list members, I would like to create two series of plotted mean values and error bars, yet with different locations along the x-axis. Plotting of first series using plotCI with the standard arguments goes without any problem. However I do not succeed to add the second series in the same plot, which should be horizontally shifted from the first series along the x-axis. The “add=TRUE”

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 ____________________________________________________________________________________

Dear R-users, I am very new to R, so maybe my question is very easy to answer. I have the following table: TAB1<-data.frame(Name,Number), "Name" and "Number" are all character strings, it looks like this: Name Number ab 2 ab 2 NA 15 NA 15 NA 15 cd 3 ef 1 NA 15 NA 15 gh 15 gh 15 I want to delete all the rows

Hi, I have a data frame with several factors and I want to count the occurrences of an event resulting from an interaction of some factors. I tried to do several tables (and then converting to d.f and then merge them by one factor and the freq Tab1 <- merge (BPorAmost,BPorSector,by=c('Sample','Freq')) Tab1 <- merge (Tab1,BPorDist,by=c('Sample','Freq')) Tab1

Dear R-users, My question is how to get right F tests for random effects in random effect models (I hope this question has not been answered too many times yet - I didn't find an answer in rhelp archives). My data are in mca2 (enc.) : names(mca2) [1] "Lignee" "Pollinisateur" "Rendement" dim(mca2) [1] 100 3 replications(Rendement ~ Lignee *

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

Dear Sir, I got a problem with my program. I would like to classify my data using bagging support vector machine ensemble. I split my data into training data and test data. For a given data sets TR(X), K replicated training data sets are first randomly generated by bootstrapping technique with replacement. Next, Support Vector Mechine (SVM) is applied for each bootstrap data sets. Finally, the