search for: 6.87

Dear All, I have two vectors: tt = c(6.87, 7.43, 6.4, 4.5, 5.5, 5.87, NA, NA, NA, 7.7) year = 1966:1975 Residuals lm(tt~year)$res do not contain NAs for the three years of missing temperature tt. Is there a simple way to get these NAs back into the residual's vector? Thank you, Sorama [[alternative HTML version deleted]]

Dear r-users,   I have saved data in word pad.  I would like to extract certain part of data only, for example   19710629 080000(PARTIAL) 39.3 at interval beginning 19701126 010326 19720629 080000(PARTIAL) 33.8 at interval beginning 19720517 144507 19730629 080000(PARTIAL) 32.2 at interval beginning 19720910 135747   and so on...   The original data set are given below:      

Dear R users, I just join this forum a few minutes ago. My friend recommend this forum to me.   I have data in excel csv. My problem is I would like to extract some number, for example as highlighted below;   Year Ending           Maximum Value (Rain mm)  Gap from 19710509 090000 to 19710607 080000 of   28.96 Days 19710629 080000(PARTIAL)       39.3 at interval beginning 19701126 010326  Gap from

Dear R-devel: I could use some advice about matrix calculations and steps that might make for faster computation of generalized inverses. It appears in some projects there is a bottleneck at the use of svd in calculation of generalized inverses. Here's some Rprof output I need to understand. > summaryRprof("Amelia.out") $by.self self.time self.pct

On 10/25/2017 12:10 PM, Evgeny Astigeevich via llvm-dev wrote: > > Hi Chandler, > > I ran the LNT benchmarks and SPEC2k6.train on AArch64 Cortex-A57. I > used revisions: Clang 316561, LLVM 316563. > > Options: -O3 -mcpu=cortex-a57 -fomit-frame-pointer > -fexperimental-new-pass-manager > > Regressions: execution time increase > > LNT > >

On Wed, May 29, 2013 at 03:25:30PM +0200, Duncan Sands wrote: > Hi Jack, I pulled the loop vectorizer and fast math changes into the 3.3 branch, > so hopefully they will be part of 3.3 rc3 (and 3.3 final!). It would be great > if you could redo the benchmarks rc3. > Duncan, As requested, appended are the updated Polyhedron 2005 benchmark results with both RC1 and RC3 llvm 3.3

Hello all, I am working on a longitudinal study of children in the UK and trying the PAN package for imputation of missing data, since it fulfils the critical criteria of taking into account individual subject trend over time as well as population trend over time. In order to validate the procedure I have started by deleting some known values ?we have 6 annual measures of height on 300 children

Hello, I am trying to fit a gamm (package mgcv) model with a smooth term, a linear term, and an interaction between the two. The reason I am using gamm rather than gam is that there are repeated measures in time (which is the smooth term x1), so I am including an AR1 autocorrelation term. The model I have so far ended up with is of the type gamm(y ~ s(x1) + s(x1, by=x2), correlation =

On 10/25/2017 12:32 PM, Evgeny Astigeevich wrote: > > Hi Hal, > > I quickly checked the execution profile. It is real. The code changed > significantly. A number of the hottest regions changed. I’ll compare IRs. > Thanks. Obviously a 1000% execution performance regression seems problematic. -Hal > JFYI FreeBench/fourinarow time graph: >

summary: I'd like a tool to use within an R session (better yet an ESS buffer) that would * (minimally) allow me to page (? la `less`) a large sparse matrix * (preferably) page row-wise (i.e., show all values for row=1 before proceeding to row=2) details: Apologies if this is a FAQ, but I didn't find anything in `help.print` or google="R pager". (If there's a better way

I am sure there is something simple here I am missing, so please bear with me. It concerns the computation of the confidence interval for a population mean. The data are 125 measurements of Cs137 radation, a sample data set from Davis "Statistics and Data Analysis in Geology" 3rd ed. (CROATRAD.TXT) ------------------ method 1: using textbook definitions: mean \pm se_mean * t-value mu

Dear R users, I have a dataset with two variables: $esan - a grouping factor with 8 levels and $reus. I'd like to do wilcox.test on this dataset as sugested Weiwei here: https://stat.ethz.ch/pipermail/r-help/2007-July/136627.html. I tried to adapt his recommendation but no succes. Can anyone help me? Regards, Iurie Malai, Senior Lecturer Department of Psychology Faculty of Psychology and

Hi, I am trying to find m breakpoints of a linear regression model. I used the segmented package. It works fine for small number of predicators and breakpoints.(3 r.v. 3 points). However, my model has 14 variables it even would not work even for just one breakpoints!. The error message is always estimated breakpoints are out of range. Since my problem is time related problem. So I

Below are the results for the Polyhedron 2005 benchmarks compiled with llvm/compiler-rt/dragonegg 3.3svn at r182439 against current FSF gcc 4.7.3svn and 4.8.1svn. The only major bug remaining in the dragonegg 3.3svn support for gcc 4.8.x is http://llvm.org/bugs/show_bug.cgi?id=15980 which results in unresolved symbols for _iround and _iroundf in the aermod and rnflow testcases. Note that this

Hi 2 all ! I have problems with concurrent filesystem actions on a ocfs2 filesystem which is mounted by 2 nodes. OS=RH5ES and OCFS2=1.2.6 F.e.: If I have a LV called testlv which is mounted on /mnt on both servers and I do a "dd if=/dev/zero of=/mnt/test.a bs=1024 count=1000000" on server 1 and do at the same time a du -hs /mnt/test.a it takes about 5 seconds for du -hs to execute: 270M

Dear all, I'm stuck with a problem using plyr to process a rather large junk of data. What I'm trying to do is applying a moving average to all the subparts of the dataframe (the example data can be found here https://dl.dropboxusercontent.com/u/2414056/testData.Rdata). require(plyr) load("testData.Rdata") applyfilter<-function(x){ return(filter(x,rep(1/5, times=5))) }

Dear R Users, Could you please help me on the following issue? I have a real large yearly data set. For each year I have 365 flow values. Some of the flow values are not known and that’s why you will see NA written in those slots. I wanted to know, is there a way that I can estimate those values? I tried approx command but it seems least helpful for the kind of issue I am up against.

Hi Martin, When I attended the LinuxWorld Expo in NYC back in January, I chatted with some folks at the AMD booth, as well as guys from Penguin Computing (where we bought our Opteron box). I was told that the Operton has this somewhat strange setup that the memory is controlled by one CPU. The net effect of this being that when both CPUs are running, one might only be running at around 90%

Hi Jack, On 29/05/13 22:04, Jack Howarth wrote: > On Wed, May 29, 2013 at 03:25:30PM +0200, Duncan Sands wrote: >> Hi Jack, I pulled the loop vectorizer and fast math changes into the 3.3 branch, >> so hopefully they will be part of 3.3 rc3 (and 3.3 final!). It would be great >> if you could redo the benchmarks rc3. >> > > Duncan, > As requested, appended

Dear arun and all R users, I will first of all try to simply define my issue.. I have data in the following format Year Discharge dd/mm/yyyy x .. … … … There are some NA values in the discharge which I would like to predict by using “predict command”. I cant figure out the way to write the coding for that. Could you please help me on that??? I have also ,written