similar to: xyplot (Lattice): Group order in display

Hello, I looked in the R-help but could not find an archive addressing the following. I would like to convert a character to numeric after reading a file with RDS extension. After using as.numeric, I checked if it is numeric. It was not converted. Please help. Here is my code >Report <- readRDS(file="RDS/Report.RDS") > Report[1:2,] dive_id date

Dear All, 1.I have been trying to aggregate my data but I have not been getting it correctly. In the data I want to convert hourly data into daily averages. Here is a sample of the data: Neph_no Date Time Temp_C Pressure_kPa RH 9 2014/03/28 10:00:00 38.4 95.9 29.7 9 2014/03/28 11:00:00 37.8 95.8 29.2 9 2014/03/28 12:00:00 36.7 95.8 35.1 9 2014/03/28 13:00:00 35.4 95.8 38.9 9

On 01/07/2015 05:33 PM, Chandler Carruth wrote: > How does this compare with classical approaches of loop peeling, > partitioning, fission, or whatever you might call it? I'm still developing a good sense for this, but let me lay out some observations. Fair warning, this is going to be long and rambling. Let's start with a toy example: while(c) { x = this->x; y =

Hello, I'm a bit new to the world of R so forgive my ignorance. I'm trying to do a zero-inflated negative binomial regression and have received an error message and i'm not sure what it means. I'm running R 2.5.1 on XP. I have just tried a really simple version of the model to see if it would run before I put all the variables in. I have attached all the variables to the

Hello, I have the following loop for two data sets: diveData_2008 and diveData_2009. It uses two other data: diveCond_all and fishTable. The problem is at the point to identify the dive_id for the given index (index is timestamp). It keeps on saying for the1st loop Error in fishReport$dive_id[i] <- dive_id : replacement has length zero for the 2nd loop Error in fishReport$dive_id[i + j] <-

On Tue, 2012-10-30 at 15:35 +0100, Dario Faggioli wrote: > Specific information regarding testing Xen > on Fedora can be found in this Wiki page: > > http://wiki.xen.org/wiki/Fedora_Test_Days > And let me just add that we also have a Fedora-Xen LiveCD. I just finished cooking it, tested it, and it seems to be working! If you decide to try it, it will bring you into a Fedora 18

Sorry for the last email, sent too early. I have a small data set that has a hierarchical structure. It has both temporal (year, months) and spatial (treatment code and zone code). The following explains the data: WSZ_Code the water supply zone code (1 to 8) Treatment_Code the treatment plant which supplies each water supply zone (1 to 4)

Hello, I'd like to generate a filled step-function in R as you can see in the attachement (image is generated by grapher, but I need a freely available alternative). The problem is, that I don't know, how to fill it up. My code right now looks like this: pH <- c(0,6.1,6.1,6.3,6.6,7.3,0) Tiefe <- c(0,0,10,40,80,120,10) plot(pH,Tiefe,type="s",main="Tiefenfunktion

This series fixes a number of use-after-frees in nouveau's postclose() handler. It was discovered by pointing IGT's core_hotunplug tests at a nouveau device, but the steps to reproduce it are simple: 1. Open the device file 2. Unbind the driver or remove the device 3. Close the file opened in step 1. During the device removal, the nouveau_drm structure is de-allocated, but is

Dear experts, I tried to learn about Box-Cox-transformation but found the following thing: When I had to add a constant to make all values of the original variable positive, I found that the lambda estimates (box.cox.powers-function) differed dramatically depending on the specific constant chosen. In addition, the correlation between the transformed variable and the original were not 1 (as I

Signed-off-by: Viswanath Puttagunta <viswanath.puttagunta at linaro.org> --- celt/tests/test_unit_dft.c | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/celt/tests/test_unit_dft.c b/celt/tests/test_unit_dft.c index 5ea10fb..111c249 100644 --- a/celt/tests/test_unit_dft.c +++ b/celt/tests/test_unit_dft.c @@ -177,8 +177,14 @@ int main(int argc,char ** argv)

Signed-off-by: Viswanath Puttagunta <viswanath.puttagunta at linaro.org> --- celt/tests/test_unit_dft.c | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/celt/tests/test_unit_dft.c b/celt/tests/test_unit_dft.c index e17e26f..f08eb65 100644 --- a/celt/tests/test_unit_dft.c +++ b/celt/tests/test_unit_dft.c @@ -177,8 +177,14 @@ int main(int argc,char ** argv)

Optimize opus encode (float only) usecase using ARM NE10 library. Mainly effects opus_fft and ctl_mdct_forward and related functions. This optimization can be used for ARM CPUs that have NEON VFP unit. This patch only enables optimizations for ARMv7. Official ARM NE10 library page available at http://projectne10.github.io/Ne10/ To enable this optimization, use --enable-intrinsics

Optimize opus encode (float only) usecase using ARM NE10 library. Mainly effects opus_fft and ctl_mdct_forward and related functions. This optimization can be used for ARM CPUs that have NEON VFP unit. This patch only enables optimizations for ARMv7. Official ARM NE10 library page available at http://projectne10.github.io/Ne10/ To enable this optimization, use --enable-intrinsics

Optimize opus encode (float only) usecase using ARM NE10 library. Mainly effects opus_fft and ctl_mdct_forward and related functions. This optimization can be used for ARM CPUs that have NEON VFP unit. This patch only enables optimizations for ARMv7. Official ARM NE10 library page available at http://projectne10.github.io/Ne10/ To enable this optimization, use --enable-intrinsics

Yes, this is odd. On my clang.bc Without: 2.2967 ( 53.8%) 0.0242 ( 26.4%) 2.3210 ( 53.2%) 2.3227 ( 53.2%) Memory SSA 2.3364 ( 53.7%) 0.0246 ( 25.7%) 2.3610 ( 53.1%) 2.3636 ( 53.1%) Memory SSA 2.3353 ( 54.0%) 0.0258 ( 27.0%) 2.3611 ( 53.4%) 2.3632 ( 53.3%) Memory SSA With two getModRefInfo calls: 3.0302 ( 58.8%) 0.0328 ( 29.9%) 3.0630 ( 58.2%) 3.0858 ( 58.2%)

Hi, How can I extract the label only from a given data frame. Fore example from this data frame. > print(dataf) V1 V2 V3 V4 V5 V6 V7 V8 V9 11145 14.3 17.1 31.2 41.7 45.8 49.8 68.6 70.6 72.9 3545 10.2 15.6 20.9 23.2 31.4 31.7 36.2 48.4 51.9 8951 15.2 17.5 20.0 21.4 32.4

Dear Community, I have been using two types of survival programs to analyse a data set. The first one is an R function called aftreg. The second one an STATA function called streg. Both of them include the same analyisis with a weibull distribution. Yet, results are very different. Shouldn't the results be the same? Kind regards, J -- View this message in context:

  Hi r-users,   I would like to use gev and my data (annual rainfall ) is as follows:   > head(dat,20) A B C D E F G H I J 1 45.1 41.5 58.5 50.1 46.0 49.1 37.7 49.1 59.8 54.0 2 50.3 39.8 49.4 56.4 49.4 48.8 42.1 49.8 49.4 58.3 3 41.7 39.3 44.6 39.1 35.7 41.5 40.8 40.8 38.5 45.6 4 50.7 33.9 48.4 28.2 35.5 39.1 61.4 17.0 30.7 38.3 5 39.3 30.6 46.9 23.8 25.8

On Mon, Oct 9, 2017 at 1:57 PM, Daniel Berlin <dberlin at dberlin.org> wrote: > FWIW: Bootstrap is probably not a good test of this, there are bugs filed > where we end up with tons of loads and stores to test against each other. > That's actually fairly rare in bootstrap, as you can see. > Let me get you some test cases. > SG, thanks! > > My guess is that we