similar to: create a new dataframe with intervals and computing a weighted average for each of its rows

Hello, can any one point me to R-packages (if available) which include spatial Markov Chain methods? My second question is more general but hopefully not OT: Currently we are using the software TPROGS, which let people simulate property distributions in space by some Markov Chain approaches. We face some problems due to the lack of information between distances of samples along borehole path

Greetings, all I am having difficulty getting the fitdistr() function to return without an error on my data. Specifically, what I'm trying to do is get a parameter estimation for fracture intensity data in a well / borehole. Lower bound is 0 (no fractures in the selected data interval), and upper bound is ~ 10 - 50, depending on what scale you are conducting the analysis on. I read in the

Db2 is running our of shared memory. The environment: Virtual computers running under VMware ESXi hypervisor version 5.5. Two different virtual machines, each running CentOS 5, db2 express C, and Apache/PHP and vmware tools. The machines each have 8 GB of memory, 4 processors, and a couple of hundred GB of disk space available. Everything is running on the 64 bit versions. The actual

Hi all, This is more a help on ideas that on actuall R code. Those of you which are geologist or work with boreholes woudl understand that i would like to achieve. I'll tr to explain as good as I can...so here it goes.. I have around 1000 geomechanical (geological) borehole logs in a database. The logs contain staial info, lithology and some laboratory data. My initial goal is

Hi, Suppose I have the following vector (data points): > x [1] 36.0 57.3 73.3 92.0 300.4 80.9 19.8 31.4 85.8 44.9 24.6 48.0 [13] 28.0 38.3 85.2 103.6 154.4 128.5 38.3 72.4 122.7 123.1 41.8 21.7 [25] 143.6 120.2 46.6 29.2 44.8 25.0 57.3 96.4 29.4 62.9 66.4 30.0 [37] 24.1 14.8 56.6 102.4 117.5 90.4 37.2 79.6 27.8 17.1 26.6 16.3 [49] 41.4 48.9 24.1

Hello all, I'm trying to create a 2x2 matrix, 32 times after unlist() so that I can convert the list to matrix. I've looked through the R archive but couldn't find the answer. There is what I've done. > f <- system("ls *.txt", intern=TRUE) > x <- lapply(f, read.table) > x [[1]] V1 V2 1 -27.3 14.4 2 29.0 -38.1 [[2]] V1 V2 1 14.4

Dear R-helpers, First I apologize if my question is quite simple I have a large datasets which more 100 variables. For a research I need to change all name of variables with add one or more letters on each variables. For example, > data(Pima.tr) > Pima.tr[1:5,] npreg glu bp skin bmi ped age type 1 5 86 68 28 30.2 0.364 24 No 2 7 195 70 33 25.1 0.163 55 Yes 3 5

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:

I would like to use aggregate() to combine statistics for several days in a data frame. My data frame looks similar to this: date type count value 1 2006-04-01 A 10 99.6 2 2006-04-01 B 4 33.2 3 2006-04-02 A 22 43.2 4 2006-04-02 B 8 44.9 5 2006-04-03 A 12 12.4 6 2006-04-03 B 14 18.5 ('date' is a factor, and my

Hi. I have Fedora core 1 (kernel 2.4.22) and I downloaded http://developer.osdl.org/dev/iproute2/download/iproute2-2.6.7-ss040608.tar.gz Before upgrading, tc -V shows "iproute2-ss020116", and after shows the same. I had a lot of errors during install (make and make install). Is this lastest version for kernel 2.4? How can I upgrade?? Thanks a lot. Leandro

I'm trying to read a comma delimited dataset that uses '.' for NA. I found that if the last field on a line was a missing '.' it was not read as NA, but just a '.', and the life variable was made a factor. The data looks like this, income,imr,region,oilexprt,imr80,gnp80,life Afghanistan,75,400.0,4,0,185.0,.,37.5 Algeria,400,86.3,2,1,20.5,1920,50.7

Hi All. I have an application where the sample rate of the sender and receiver can vary by a small margin and the latency needs to be maintained within bounds and can't drift significantly and the system has to be able to cope with clock mismatches up to 0.5%. For example, the sender may have a clock rate of 48.1kHz and the receiver may have a clock rate of 47.9kHz. Unfortunately the clock

Hi Jeff, Thank you for the suggestions -- I appreciate your help. Unfortunately, the result2 has two problems... (1) there are now 3 date columns (it looks like 2 cols are merged into 1 col) (2) the output rows should not have any of the basistime dates repeated (maybe I misstated the problem); I need the max fcst value by basistime, but also list the date value for that row; for example:

Hi, If I set the p.adjust="none", does it meant that the output p values from the pairwise.t.test will be the same as those from individual t.tests (set var.equal=T, alternative="t")? I actually got different p values from the two tests. See below. Is it supposed to be this way? Thanks Johnny > x [1] 61.6 52.7 61.3 65.2 62.8 63.7 64.8 58.7 44.9 57.0 64.3 55.1 50.0 41.0

Hello all! I've been struggling with is for many hours today; I'm close to getting what I want, but not close enough... I have a dataframe consisting of two date-time columns followed by two numeric columns. what I need is the max value (in the first numeric column) based on the 2nd date-time column, which is essentially a factor. But, I want the result to provide both date-time values

  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 Thu, 26 Oct 2017, Thomas Adams wrote: > Hi Jeff, > > Thank you for the suggestions -- I appreciate your help. Unfortunately, the > result2 has two problems... > > (1) there are now 3 date columns (it looks like 2 cols are merged into 1 > col) No, there are two date columns. Result2 includes the grouping value as a row name (pulled from the names of the dta2list items

Thanks for the dput... #### reproducible example of split-apply-combine ### dta <- structure(list(date = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L), .Label = c("2012-01-25 18:00:00",

HW: Lenovo T520 laptop with MS WIN 7 OR dedicated PC (DELL GX 280) SW: CentOS 6.5 (64-bit) installed using VMware Player on MS WIN 7 host CASE A) -- BRIDGED networking selected CASE B) -- NAT networking OR CentOS 6.5 i(32-bit) nstalled on real HW (DELL OptiPlex GX 280) ___issue____ at hand: The default Firefox ESR browser (17.0.10) does not find many web pages.

hi i want to install libvirt-1.1.2 in xen -4.2.1. i installed int he following manner: 1. downloaded source from libvirt/org (libvirt-1.1.2) 2. untarred & run ./configure --with-xen=yes --with-libxl=yes 3. then make and make install. i also enabled the (xend-unix-server yes) in xend config file. i run libvirtd -v and getting the followning error: root@boss[libexec]#libvirtd -v