similar to: Gaps in plotting temporal data.

Hi All, I have a data set of around 17,000 gene names and their lengths. E.g.           gene      kblength     A3GALT2       14.333    AADACL3       12.609    AADACL4       22.532         ABCA4     128.312        ABCB10      42.114          ABCD3    100.287     ............ ......... and I was able to draw a reverse cumulative frequency plot using the following code: d <-

I am developing a package for analysis of seismic data that relies on a Fortran library. Package compilation works fine on Ubuntu and Red Hat Enterprise but fails for R 2.15.3 on Mac OSX 10.8.4. I've included the entire dump below but the relevant error message seems to be: ld: warning: ignoring file libmseed/libmseed.a, file was built for archive > which is not the architecture being

After resuming more than once on battery these HP Ivybridge laptops, the XHCI devices stop working. Have anyone seen this before? I wanted to check before diving in deeper. Let me know if you have any ideas. Thanks! Facts - Xen 4.0.3, Linux 3.2.7 PVOPs - Happens on HP Ivybridge. Doesn''t happen on very similar HP Sandybridge Clash system. - Happens on battery, but not on AC. -

We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA Authors: Zuur, Ieno, Saveliev Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTemp/Zuuretal2017_TOCOnline.pdf Summary: We explain how to apply linear regression models,

Hi I consider myself not a complete beginner in R, however an elegant solution to this problem stumps me. I have a fairly long time series of 60000 or so points, I need to gather the data to create a histogram of the length of continuous zero periods in a data set. So image the data looks like this (where as a pre-condition all numbers are single digit so assume commas if you which, I have the

hello *, im new to the list (and R in general), i have a problem that im hoping someone can help me solve. i have data that i want to turn into a time series per day, ex. 2010-03-01 9 2010-03-03 17 2010-03-04 2 2010-03-05 9 2010-03-07 3 is there an easy way to fill in the gaps for the missing days? thx much --joe

https://help.ubuntu.com/community/LiveCDCustomizationFromScratch It was vague about an isolinux configuration that actually works and the mkisofs binary isn't in the repository of the distribution I am doing it on (Debian 8).

Hi, following up to CentOS Virt SIG meeting here is a quick review of the gaps we have for porting ovirt within CentOS Koji. On the manager side, in order to properly build ovirt-engine (the main package in oVirt project) we're missing several pre-requisites. We're relying on a binary packaging of jboss-as 7.1 we ship as ovirt-engine-jboss-as. So first step should be to rebuild Fedora 19

I need sequences that have gaps in them, such as the following: 4 5 6 | 12 13 14 | 20 21 22 a simple question, I've been scratching my head for a R function that will do this The : and seq do not allow this, and the c() can be used although not in an automatic way. I'm sure there is a way to do it without using a for() construct. Thank you

System: Linux kernel 2.6.15 Ubuntu dapper R version 2.4.1 ESS on Emacs 21.4.1 ------------------------- Colleagues I have some spatial patterns of sardine eggs (presence /absence) over 50 years (270 surveys) and I'd like to quantify the patches and gaps to determine how many patches (i.e. spawning areas) there were before the fishery collapse (1951-1965) and during recovery (post 1985).

I have a long sequence of dates, about 6 years worth, as one column in a data frame. How can I test whether the sequence is consecutive, that is, without gaps? Thanks. --Chris -- Christopher W. Ryan, MD SUNY Upstate Medical University Clinical Campus at Binghamton 40 Arch Street, Johnson City, NY 13790 cryanatbinghamtondotedu "If you want to build a ship, don't drum up the men to

R community, I am trying to write a code that fills in data gaps in a time series. I have no R or statistics background at all but the use of R is proving to be a large portion of my PhD research. So far my code identifies where and the number of new entries required but I do not know how to add additional rows or columns into an array. Any advice on how this can be done? Here is an example:

Hi, I have a set of measurements that are made on a daily basis over many years. I would like to produce a *non-parametric* smooth of these data to estimate the seasonal cycle - to achieve this, I have been using the cyclic cubic splines from the mgcv package. This works superbly in most situations, but not all. The problem is that for various practical reasons the data is not available all year

Hi, I have an intraday timeseries of financial data (see below) which has gaps due to market opening and closing hours. I am trying to plot it, but the time gap is always visible in the plot. I tried converting data to xts, zoo, timeSeries and plotting it with different functions i.e. plot.xts, plot.zoo. The only way to make it work was with function 'chartSeries' in the quantmod package

Looking for a little help figuring out what's driving gaps in data after merging two xts objects (msci.m and x2). The merge statement I'm using is ... y <-merge(x2,msci.m, all=FALSE). Here's info on the output , y: head(y) t-bill msci Sep 1985 7.310 316.963 Mar 1986 6.560 463.471 Jun 1986 6.180 498.791 Jul 1987 6.200 778.898 Aug 1987 6.400 833.519 Nov 1987

Mike... did you look into this? I posted a waveform from a file generated by ogg123 dumping to a wav (so that audio driver problems were eliminated). It looks to me like ices2 is restarting the vorbis encoder in a non-gapless way when it stops and starts the encoding (to change the stream id and update the metadata). Because I'm doing crossfades from one track to another, this shows up.

Dear R users, I have a time series of precipitation data. The time series comprises ~ 20 years and it is supposed to be constant (one value per day), but due to some failure of the measuring device some days or periods are missing. I would like to find these missing days or periods just to get a first idea about the reliability of the measurements. The only function I could find was

Hi everybody, I have a little problem about filling some gaps of NAs in my data. These gaps are between nearly constant data (temperature under snow). Here's a fake example to illustrate how it looks like approximately: DF <- data.frame(data=c(-0.51,-0.51,-0.48,-0.6,-0.54,-0.38,-0.6,-0.42,NA,NA,NA,NA,NA,NA,NA, -0.25,-0.41,-0.5,-0.5,-0.35,-0.7,-1,-0.87)) I would like to replace my NAs

On Mon, Sep 26, 2005 at 12:41:00PM +0200, Michael Smith wrote: > On 9/23/05, Paul Martin <pm@nowster.zetnet.co.uk> wrote: > > Mike... did you look into this? I posted a waveform from a file > > generated by ogg123 dumping to a wav (so that audio driver problems were > > eliminated). > > > > It looks to me like ices2 is restarting the vorbis encoder in a >

I like the fact that in subtracting two time series objects that there is some effort to align the series. So if I have a time series of that begins at 1 and one that begins at 2 a subtraction operation makes sure that the proper values are subtracted. But I am unclear as to the best way to build a time series with "holes". say that I have data for "day" 1,2,6,7 in one time