search for: 0.21

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.

Dear R Users,i am very new to R. I want your help on an issue regarding distance matrix and cluster analysis i had discharge data of 4 rivers(a,b,c,d) in 4 vectors each having 364 values > dput(qmu)structure(list(a = c(0.26, 0.25, 0.25, 0.25, 0.24, 0.23, 0.22, 0.21, 0.21, 0.21, 0.2, 0.19, 0.19, 0.19, 0.19, 0.18, 0.18, 0.18, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17,

Both of the approx functions work correctly individually, but they are not being distinguished in the for loop by the if statments. Any help would be appreciated. for loop of interest is below x <- (structure(list(Site = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,

Hi all, I have 2 questions: 1)How do I calculate the mean on an imported txt file? I've imported the file below and that's what it looks like imported. How do I then calcuate the mean, median, or mode on the column LeafArea using the desktop R package? Any help would be greatly appreciated!! Thanks, Nat LeafType Leaflets LeafArea ShapeRatio LeafWeight LeafThickness 1 1

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

Hi, Assuming that you provided the sample data from the file. temp <- readLines(textConnection("#Hogd/met, Temp, 005[M], Value #Hogd/met, Difftemp, 051[M], Value BA0+ 1 MTEMP005 1 [deg.C] 2 MDTMP051 1 [deg.C] EOH 891231, 2400, -1.5, -0.21, 900101, 0100, -1.4, -0.25, 900101, 0200, -1.6, -0.28, 900101, 0300, -1.7, -0.25, 900101, 0400, -2.1, -0.0999999, 900101, 0500, -2.3, -0.0899999,

ffmpeg2theora 0.21 is out - http://v2v.cc/~j/ffmpeg2theora * switch default extension to .ogv * enable Ogg Skeleton by default * start- and endtime now also works if output framerate is set ? * experimental ?support for kate ?subtitle streams ? * several bugfixes Source: http://v2v.cc/~j/ffmpeg2theora/ffmpeg2theora-0.21.tar.bz2 svn co

The following errata for CentOS-2 have been built and uploaded to the centos mirror: RHSA-2008:0977-01 Critical: seamonkey security update Files available: seamonkey-1.0.9-0.21.el2.c2.1.i386.rpm seamonkey-chat-1.0.9-0.21.el2.c2.1.i386.rpm seamonkey-devel-1.0.9-0.21.el2.c2.1.i386.rpm seamonkey-dom-inspector-1.0.9-0.21.el2.c2.1.i386.rpm seamonkey-js-debugger-1.0.9-0.21.el2.c2.1.i386.rpm

I have a situation where lagged values of a time-series are used to predict future values. I have packed together the time-series and the lagged values into a data frame: > str(D) 'data.frame': 191 obs. of 13 variables: $ y : num -0.21 -2.28 -2.71 2.26 -1.11 1.71 2.63 -0.45 -0.11 4.79 ... $ y.l1 : num NA -0.21 -2.28 -2.71 2.26 -1.11 1.71 2.63 -0.45 -0.11 ... $ y.l2 : num

I am new to R, and didn't know which list to send this to, since it is a bug report about a package, not about core R... I have created a regression tree using 4 predictors: 3 are unordered (binary) predictors, and the last is a date (integer), which I declare to be an ordered factor. However, the tree treats the date as if it were un-ordered, splitting into non-consecutive subsets. My code

Hi all! I know this is quite offtopic, but I found nothing in google nor in the net-snmp mailing list, and I know there''s a lot of people here graphing with snmp+rrdtool. I installed net-snmp 5.1.2-6.1 in Debian to produce graphs for some ethernet interfaces. It seems it''s not reporting correct values for them. Here''s my snmpd.conf (very simple) and the output from the

Hi R user,I am struggling to figure out on how I can calculate the average from the two tables in R. Any one can help me? really your help would be grateful- I am spending so much time to figure it out. It should not be so hard, I think. I have very big data but I have created a hypothetical data for simplification. for example I have : table 1 table 1: species occurance data

Hi, I am interested in using the cast function in R to perform some aggregation. I did once manage to get it working, but have now forgotten how I did this. So here is my dilemma. I have several thousands of probes (about 180,000) corresponding to each gene; what I'd like to do is obtain is a frequency count of the various occurrences of each probes for each gene. The data would look

Hellooo, punctual to the new wine-0.9.9-release there is a new version of my getwinegit.sh-script. No great changes but some smaller ones. First of all, the logger got more informative if you experience problems with your getwinegit.sh-installation. The second thing is a better checking of the config-vars. Not the supergreat errorhandling i would like it to be but now there is something that

I computed "system.time(diag(30000))" with R 2.12.0 on Fedora 13 Linux with 4 GB RAM and with R 2.14.1 on Windows 7 with 8 GB RAM: Linux (4 GB RAM): 0, 0.21, 0.21 -- a fifth of a second Windows 7 (8 GB RAM): 11.37 7.47 93.19 -- over 1.5 minutes. Moreover, during most of that time, I could not switch windows or get any response from the system. When I first encountered this, I

Folks, I'm trying to get stats from a matrix for each transition from one state to another. I have a matrix x as below. structure(c(0, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1, 2, 2, 1, 1, 1, 0, 0, 2, 2, 0.21, -0.57, -0.59, 0.16, -1.62, 0.18, -0.81, -0.19, -0.76, 0.74, -1.51, 2.79, 0.41, 1.63, -0.86, -0.81, 0.39, -1.38, 0.06, 0.84, 0.51, -1, -1.29, 2.15, 0.39, 0.78, 0.85, 1.18, 1.66, 0.9, -0.94,

Hi, I have a 3d array as below, I want to make this array to a matrix of p=50(rows) and n=20(columns) with the coverage values . The code before the array is: library(binom) Loading required package: lattice pi.seq<-seq(from = 0.01, to = 0.5, by = 0.01) no.seq<-seq(from = 5, to = 100, by = 5) cp.all = binom.coverage( p = pi.seq, n = no.seq , conf.level = 0.95, method = "exact")

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Dear All, I have a centos 5 server running my mail and Dns working fine but when i try to do u yum ugrade or yum update it gives me lots of perl errors and it terminates OS is centos 5 (final) the part of errors reported --------------------------------- file /usr/lib/perl5/5.8.8/Math/BigFloat.pm from install of perl-5.8.8-18.el5_3.1 conflicts with file from package perl-Math-BigInt-1.86-1

Hello all, Consider the following problem: There is a matrix of probabilities: > set.seed(1) > probs <- array(abs(rnorm(25, sd = 0.33)), dim = c(5,5), dimnames = list(1:5, letters[1:5])) > probs a b c d e 1 0.21 0.27 0.50 0.0148 0.303 2 0.06 0.16 0.13 0.0053 0.258 3 0.28 0.24 0.21 0.3115 0.025 4 0.53 0.19 0.73 0.2710 0.656 5 0.11 0.10 0.37 0.1960