search for: 0.52

Hi All I am getting the above mentioned error when I run the code below. I don't know why because I have implemented the function and I'm calling the function with a parameter. I'm obviously missing the plot ... Can someone perhaps point out the error of my ways? Error: > out<-ode(y=init, times=times, func=G1999, parms=parms, method="lsoda") Error in m_Na(v) : attempt

Hi All I have been struggling with this model for some time now and I just can't get it to work correctly. The messages I get when running the code is: DLSODA- Warning..Internal T (=R1) and H (=R2) are such that in the machine, T + H = T on the next step (H = step size). Solver will continue anyway. In above message, R = [1] 0 0 DINTDY- T (=R1) illegal In above message, R = [1]

CentOS Errata and Security Advisory CESA-2010:0333 seamonkey security update for CentOS 3 x86_64: https://rhn.redhat.com/errata/RHSA-2010-0333.html The following updated file has been uploaded and is currently syncing to the mirrors: x86_64: updates/x86_64/RPMS/seamonkey-1.0.9-0.52.el3.centos3.i386.rpm updates/x86_64/RPMS/seamonkey-1.0.9-0.52.el3.centos3.x86_64.rpm

Hello - I am using glmnet to generate a model for multiple cohorts i. For each i, I run 5 separate models, each with a different x variable. I want to compare the fit statistic for each i and x combination. When I use auc, the output is in some cases is < .5 (.49). In addition, if I compare mean MSE (with upper and lower bounds) ... there is no difference across my various x variables, but

CentOS Errata and Security Advisory CESA-2010:0333 seamonkey security update for CentOS 3 i386: https://rhn.redhat.com/errata/RHSA-2010-0333.html The following updated file has been uploaded and is currently syncing to the mirrors: i386: updates/i386/RPMS/seamonkey-1.0.9-0.52.el3.centos3.i386.rpm updates/i386/RPMS/seamonkey-chat-1.0.9-0.52.el3.centos3.i386.rpm

CentOS Errata and Security Advisory 2010:0698 Critical Upstream details at : https://rhn.redhat.com/errata/RHSA-2010-0698.html The following updated files have been uploaded and are currently syncing to the mirrors: ( md5sum Filename ) x86_64: faa58b13a65533c118e9ac87e8fa4d31 libtalloc-1.2.0-52.el5_5.2.i386.rpm b80ab40b83e91b8574042b910fbfed69 libtalloc-1.2.0-52.el5_5.2.x86_64.rpm

Hello everyone,           I have a basic question regarding logical operators. > x<-seq(-1,1,by=0.02) > x   [1] -1.00 -0.98 -0.96 -0.94 -0.92 -0.90 -0.88 -0.86 -0.84 -0.82 -0.80 -0.78  [13] -0.76 -0.74 -0.72 -0.70 -0.68 -0.66 -0.64 -0.62 -0.60 -0.58 -0.56 -0.54  [25] -0.52 -0.50 -0.48 -0.46 -0.44 -0.42 -0.40 -0.38 -0.36 -0.34 -0.32 -0.30  [37] -0.28 -0.26 -0.24 -0.22 -0.20 -0.18 -0.16

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CentOS Errata and Security Advisory 2010:0488 Critical Upstream details at : https://rhn.redhat.com/errata/RHSA-2010-0488.html The following updated files have been uploaded and are currently syncing to the mirrors: ( md5sum Filename ) i386: 2e1f8e51092cdd08edb08bcd68b0de84 libtalloc-1.2.0-52.el5_5.i386.rpm f6c6d3cc9eea46ce0df89411361e0d03 libtalloc-devel-1.2.0-52.el5_5.i386.rpm

CentOS Errata and Security Advisory 2010:0488 Critical Upstream details at : https://rhn.redhat.com/errata/RHSA-2010-0488.html The following updated files have been uploaded and are currently syncing to the mirrors: ( md5sum Filename ) x86_64: a95eee731386c97157f85c10c1a5bc6e libtalloc-1.2.0-52.el5_5.x86_64.rpm bfe687a7ce45a7aea4d3488bdd323ffc libtalloc-devel-1.2.0-52.el5_5.x86_64.rpm

CentOS Errata and Security Advisory 2010:0698 Critical Upstream details at : https://rhn.redhat.com/errata/RHSA-2010-0698.html The following updated files have been uploaded and are currently syncing to the mirrors: ( md5sum Filename ) i386: 6503b6b291bd78f5f7b46e4c9cf990c5 libtalloc-1.2.0-52.el5_5.2.i386.rpm 4731ba6805281b11252a74423bafb8e2 libtalloc-devel-1.2.0-52.el5_5.2.i386.rpm

Hi R community, I have been trying to figure out why R is reversing the order of rows after I run data.matrix() Here is my data: df<-structure(list(itmID = c(1L, 2L, 1L, 2L, 1L, 2L), variable = structure(c(1L, 1L, 2L, 2L, 3L, 3L), .Label = c("3", "2", "1"), class = "factor"), value = c(0.7, 0.52, -1.16, -0.91, 0, 0)), .Names = c("itmID",

Hello All, I have a simple question based on how things are labeled on my heat map; particularly, there is this annoying "X" that appears before the numeric value of all the labels of my columns. Let's say I have the following silly data, stored in "temp.txt" 1905 1910 1950 1992 2011 2020 Gnat 0.08 0.29 0.29 0.37 0.39 0.43 Snake

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,

I have a problem with R. I try to compute the confidence interval for my df. When I want to create the plot I have this problem: Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ. I try this code: library(dplR) df.rwi <- detrend(rwl = df, method = "Spline",nyrs=NULL) write.table(df.rwi,file="rwi.txt",quote=FALSE,row.names=TRUE)

Hello all. I was wondering if there is a way to hold constant the fixed effects correlation structure across multiple groups? For example, I have two groups and I fit a three parameter logistic growth curve where the fixed effects are free to vary across the groups. I'll paste in the code as a concrete example: > Result.NLME <- nlme(Score ~ SSlogis(Time, Asym, xmid, scal), +

On Mon, Jan 18, 2010 at 1:53 PM, Tobias Weisserth <tobias.weisserth at gmail.com> wrote: > Hi everybody, > I'm having difficulties updating dhclient as outlined below by using either > yum or rpm. I'm running CentOS on a virtual guest provided by a provider. Have you tried a 'yum clean all' ? That usually resolves this sort of issue for me. mhr

Dear all, I have a lot of problems on R-programming. for example my csv. file is .. Date wrfRH wrfsolar wrfwindspeed wrfrain wrftd wrfta 21/10/2010 92.97 22.11 53.27 0 1546.337861 61.00852664 22/10/2010 87.35 21.99 40.89 0 1300.408288 62.85352227 23/10/2010 88.38 21.71 28.04 0.01 1381.768284 54.80594493 24/10/2010 92.32 15.45 22.38 0.51 1113.90981 39.46573663 25/10/2010 93.42

Dear R family, I have a question about how to detect some duplicate numeric observations. Suppose that I have two variables dataset. order value 1 0.52 2 0.23 3 0.43 4 0.21 5 0.32 6 0.32 7 0.32 8 0.32 9 0.32 10 0.12 11 0.46 12 0.09 13 0.32 14 0.25 ; Could you help me indicate where the duplicate observations in a row (e.g., 0.32) are? best, moohwan