similar to: error msg using na.approx "x and index must have the same length"

Hi Stepan, I would need more information to be able to investigate further. It's legal for the decoder to output -32768, so it would be good if you could explain how this is unexpected. Ideally an audio file with details on how to reproduce the problem would help. Optionally, if you could bisect the git repo to see where the problem started. Cheers, Jean-Marc On 02/22/2018 07:15 PM,

On 02/22/2018 09:34 PM, Stepan Salenikovich wrote: > Its unexpected because the decoder continues to output all samples > of -32768 even when the microphone input is silence or near silence, so > I would expect the decoded values to be at or near 0. Oh, if the output is stuck at -32768, then it's likely some NaNs crept in. The first thing to check is whether the problem is on the

Hi, I just downloaded samba 3.0 and configured, make, make installed it It turned out to take up about 2 Gb of disk space. Is this a normal size for the installation? Just checking. (installed on Solaris 8) thanks for any opinions... -peter. ************************************************************ Opinions contained in this e-mail do not necessarily reflect the opinions of the

This is R1.9.0, windows XP I run across the following: It is admittedly silly, but it shouldn't segfault: test <- list(y=1:100, x=rep(NaN, 100)) approx(test, xout=rep(NaN, 10)) Bombs! Kjetil Halvorsen

Full_Name: joerg van den hoff Version: 1.9.0 and 1.7.1 OS: MacOS (1.9.0), SunOS (1.7.1) Submission from: (NULL) (149.220.4.88) something like (sure not the originally intended input, but something like this can happen...): approx(c(1,2),c(NA,NA),1.5) crashes R (bus error under MacOS, segmentation fault under SunOS). search of the bug archive did not work. I hope this bug was not reported

Hello, I am looking for a highly efficient matrix version of linear interpolation (like approx). As an example I have data like follows: x<-data.frame(time=1:20, x=(1:20)/10, y=runif(20)) t <- seq(1.5, 15.5 ,by=0.5) # and I found the following solution: nam <- names(x) app <- lapply(x[2:3],approx,x=x$time, xout=t) r <- c(1, 2*(1:(ncol(x)-1))) x.new <-

Dear R-list members, I am calculating the linear extrapolation for a data set, using the function found in Hmisc. x=c(0.0265,-0.0003,0.0142,0.0263,0.0634,0.1145,0.2504) y=c(58,107,152,239,362,512,724) x1=0.0393216 approxExtrap(x,y,x1, method="linear") approx(x,y,x1) #to see what is happening: plot(x, y, typ="o") abline(v=x1, col=8) Which gives x=0.03 and y=163, instead of

Hi Everyone, I have a some data from a sports gps device like the following: time latitude longitude altitude distance heartrate 1 1277648884 0.304048 -0.793819 260 0.000000 94 2 1277648885 0.304056 -0.793772 262 4.307615 95 3 1277648888 0.304060 -0.793696 263 11.262347 97 4 1277648894 0.304075 -0.793544 263 25.237911 103 5 1277648898

Hello all, I'm struggling to grasp how I might use lapply() instead of looping to run approx() on a list consisting of multiple arrays - each of equal dimension. But simpler than that, I haven't been able to successfully apply approx() to an array, unless I loop through the third dimension and extract the matrix. See example code below... Any suggestions will be gratefully received. Thanks

Hello R help, I have this data frame M2[160000,5] with NAs, a simple example would be: set.seed(1234) M2<-expand.grid(ID=182:183, year=2012, month=1:3, day=1:3, KEEP.OUT.ATTRS=FALSE) M2 <- M2[with(M2, order(ID, year, month, day)),] #sort the data M2$value <- sample(c(NA, rnorm(100)), nrow(M2), prob=c(0.5, rep(0.5/100, 100)), replace=TRUE) M2: ID year month day

Readers, Am trying to use the function 'approx' to interpolate time series data sets: data1: 01:23:40 5 01:23:45 10 01:23:50 12 01:23:55 7 data2: 01:23:42 01:23:47 01:23:51 01:23:54 The objective is to obtain interpolated values of 'data1' column 2 (5, 10, 12, 7) for the times shown in data2. Tried the following command but received the error shown:

Any luck reproducing the problem with opus_demo or opus-tools? Jean-Marc On 02/22/2018 10:14 PM, Stepan Salenikovich wrote: > > > On Thu, Feb 22, 2018 at 9:53 PM, Jean-Marc Valin <jmvalin at jmvalin.ca > <mailto:jmvalin at jmvalin.ca>> wrote: > > On 02/22/2018 09:34 PM, Stepan Salenikovich wrote: > > Its unexpected because the decoder continues to

I have a dataset like this: p aa index x y z sdx sdy sdz delta as ms cur sc 1 821p MET 1 -5.09688 32.8830 -5.857620 1.478200 1.73998 0.825778 13.7883 126.91 92.37 -0.1320180 111.0990 2 821p THR 2 -4.07357 28.6881 -4.838430 0.597674 1.37860 1.165780 13.7207 64.09 50.72 -0.0977129 98.5319 3 821p GLU 3 -5.86733 30.4759

Dear all; I have a dataframe with several columns. The columns are the elevation, volume and the area of the cells (which were placed inside a polygon). I have extracted them from DEM raster to calculate the volume under polygon and the elevation for a specific volume of the reservoir. > head(x6,2) Elevation Vol Area V_sum A_sum 1 2145 13990.38 85.83053 13990.38

Hi, I am looking for a function that generalizes 'approx' to two (or more) dimensions. The references on the approx help page point toward splines, but a) splines is what I am trying to avoid in the first place and b) splines (except for mgcv splines) seem to be one dimensional. Here is a more detailed account. Using mgcv:gam I fit an additive model xy.gam according to the formula y ~

Hi, I have a object 'zoo': dim(zz) [1] 720 5551 where some columns only have NA's values (representing land data in a sea surface temperature dataset) I find straightforward the use of 'na.approx' for individual columns from the zz matrix, but when applied to the whole matrix: zz.approx<-na.approx(zz) Erro en approx(along[!na], y[!na], along[na], ...) : need

Dear R-devel, The following line crashes R > approx(1, 1, 0, method='const', rule=2, f=0, yleft=NULL, ties='ordered')$y Process R:2 exited abnormally with code 5 at Tue Jul 21 14:18:09 2009 > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 9.1 year

Hi, I work on a webRTC application and recently tried updating from opus 1.1.5 to 1.2.1 Afterwards I noticed occasionally weird audio glitches. I finally tracked down the issue to the opus decoder in my application outputting samples with the value of -32768. This behaviour stopped when reverting to opus 1.1.5 or compiling opus 1.2.1 without configuring --enable-float-aprox and --0fast. The

Dear R users I am analysing data from a group of twins and their siblings. The measures that we are interested in are all correlated within families, with the correlations being stronger between twins than between non-twin siblings. The measures are all calculated from survey answers and by definition have limited ranges (e.g. -5 to +5), though within the range they are approximately normally

Full_Name: joerg van den hoff Version: 1.9.1 OS: MacOS and SunOS Submission from: (NULL) (149.220.4.88) follow up to ID 7166. something like approx(c(1,2),c(NA,NA),1.5,rule=2) crashes 1.9.1 on both systems (MacOS 10.3.5.: bus error, SunOS 5.9: segmentation fault) even if xout is within given x range (as in example above) where rule=2 seems not be relevant anyway.