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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 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:

Hi guys, I''m running a freenas domU (FreeBSD 8.3 based, ZFS v28, 2 vcpus mapped to the same HT capable core) to serve storage for all purpose including other domUs running on the same host. I did some study to understand how well it works and the result is kind of confusing. In summary, the network performance between domains on the same host is worse than expected. And NFS service to

Dear all, May I ask is there any functions in R to evaluate the fitness of "coxph" and "survreg" in survival analysis, please? For example, the results from Cox regression and Parametric survival analysis are shown below. Which method is prefered and how to see that / how to compare the methods? 1. coxph(formula = y ~ pspline(x1, df = 2))

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

The partial R-square (or coefficient of partial determination, or squared partial correlation coefficients) measures the marginal contribution of one explanatory variable when all others are already included in multiple linear regression model. The following link has very clear explanations on partial and semi-partial correlation: http://www.psy.jhu.edu/~ashelton/courses/stats315/week2.pdf In

Dear all, For estimating Cobb-Douglad production Function [ Y = ALPHA * (L^(BETA1)) * (K^(BETA2)) ], i want to use nls function (without linearizing it). But how can i get initial values? ------------------------------------ > options(prompt=" R> " ) R> Y <- c(59.6, 63.9, 73.5, 75.6, 77.3, 82.8, 83.6, 84.9, 90.3, 80.5, 73.5, 60.3, 58.2, 64.4, 75.4, 85, 92.7, 85.4,

Hi, a while ago I posted a question regarding the use of alternative models, including a quasibinomial mixed-effects model (see Results 1). I rerun the exact same model yesterday using R 2.7.2 and lme4_0.999375-26 (see Results 2) and today using R 2.7.2 and lme4_0.999375-27 (see Results 3). While the coefficient estimates are basically the same in all three regressions, the estimated standard

Dear expeRts! when I try summarize data using "tabular" of tables package.. here is an example.. > a <- data.frame(a=rep(10,10),b=round(runif(10,10,20)),c=round(runif(10,40,50))) > a a b c 1 10 14 44 2 10 17 40 3 10 13 40 4 10 18 40 5 10 11 49 6 10 16 46 7 10 15 43 8 10 19 49 9 10 19 49 10 10 13 45 > tabular((a+1)~(n=1)+Format(dig=0)*(b + c) * (mean +

If I'm not mistaken, partial R-squared is the R^2 of the quantities plotted in a partial residual plot, so you can base the computation on that. Prof. Fox's `car' package on CRAN has a function for creating those plots, but you need to figure out the way to extract the quantities being plotted. [In any case, the basic tools for doing such computations are all in R, and it

XenServer build date: 2010-11-30 XenServer build number: 39265p XenServer version: 5.6 Feature Pack 1 Guest OS: CentOS 5.6 Guest Kernel: 2.6.18-238.9.1.el5xen Hi everyone, we have set up several Xen servers with the version mentioned above. The version is the same on all servers, the kernel is the default one, not patches or self compiled versions. Each Xen server has 6 network interfaces (eth0

Sorry, I forgot to attach the command line error: [root at pc ~]# systemctl status named.service ● named.service - Berkeley Internet Name Domain (DNS)    Loaded: loaded (/usr/lib/systemd/system/named.service; enabled; vendor preset: disabled)    Active: active (running) since Thu 2018-06-07 21:15:06 AST; 20h ago   Process: 12495 ExecStop=/bin/sh -c /usr/sbin/rndc stop > /dev/null 2>&1

Dear all, I'm trying to make an R code for the drought severity index (DSI) developed by Philips and McGregor (1998). You can refer to the description of the algorithm on page 19 from http://dissertations.port.ac.uk/229/01/MaloneS.pdf The code is given in Excel as the following and can be found on page 60 from the same link. C7 = IF(C6<0,IF(@SUM(A6:A1)<0,C6+A6,"0"),

I''m trying to shape traffic on a Devil-Linux box. This note was originally sent to their maillist, because the LARTC list appears to have been down for the past few days. My mailbox was just flooded with a half dozen or so confirmation requests in response to my repeated attempts to subscribe to this list. ---------- Forwarded message ---------- From: drew einhorn

Hi, I have just started to setup and configure my asterisk box and am having trouble with it. I have a dlink nic in the box as well as the digium card. When the nic is in there by itself it works, but when I put the tdm400p in, there seems to be some sort of conflict with the network card. The tdm appears as another type of network card, which I don't think it should, should it? It shows

R Help - I'm trying to run a correlation matrix with a covariate of "age" and will at some point will also want to covary other variables concurrently. I'm using the "psych" package and have tried other methods such as writing a loop to extract semi-partial correlations, but it does not seem to be working. How can I accomplish this? library(psych) > set.cor(y =

Good morning! I followed your instructions Rowland, but still showme the same error: I change this lines in smb.conf: server services = s3fs, rpc, nbt, wrepl, ldap, cldap, kdc, > drepl, winbindd, ntp_signd, kcc, dnsupdate, dns For this one: server services = s3fs, rpc, nbt, wrepl, ldap, cldap, kdc, > drepl, winbindd, ntp_signd, kcc, dnsupdate [root at pc ~]# systemctl status named.service●

Good morning! I followed your instructions Rowland, but still showme the same error: I change this lines in smb.conf: smb.conf file [global]        netbios name = PC         realm = DOMAIN.LOCAL         server services = s3fs, rpc, nbt, wrepl, ldap, cldap, kdc, drepl, winbindd, ntp_signd, kcc, dnsupdate         workgroup = DOMAIN         server role = active directory DOMAIN controller        

Hello zfs-discuss, One of a disk started to behave strangely. Apr 11 16:07:42 thumper-9.srv sata: [ID 801593 kern.notice] NOTICE: /pci at 1,0/pci1022,7458 at 3/pci11ab,11ab at 1: Apr 11 16:07:42 thumper-9.srv port 6: device reset Apr 11 16:07:42 thumper-9.srv scsi: [ID 107833 kern.warning] WARNING: /pci at 1,0/pci1022,7458 at 3/pci11ab,11ab at 1/disk at 6,0 (sd27): Apr 11 16:07:42 thumper-9.srv

I tried benchmarking the same site behind an NGINX proxy with both fastcgi and mongrel, and for some reason mongrel is performing pretty poorly in comparison. Any idea what I might be doing wrong? Here''s my benchmarks for 1 fcgi: Server Software: nginx/0.4.0 Server Hostname: eship.com.br Server Port: 80 Document Path: / Document Length: 95