search for: 3.26

Dear Eliza, Try this: Lines1<-readLines(textConnection("1911.01.01?????? 7.87 1911.01.02?????? 9.26 1911.01.03?????? 8.06 1911.01.04?????? 8.13 1911.01.05????? 12.90 1911.02.06?????? 5.45 1911.02.07?????? 3.26 1911.03.08?????? 5.70 1911.03.09?????? 9.24 1911.04.10?????? 7.60 1911.05.11????? 14.82 1911.05.12????? 14.10 1911.06.13?????? 7.87 1911.06.14?????? 9.26

Version 3.26 of the survey package is percolating through CRAN. Since the last announcement on this list, of version 3.20, about 18 months ago, the main changes are -- an option to calculate replicate-weight variances from sums of squares around the point estimate rather than from the variance of the replicates ("MSE" style) -- Preston's multistage rescaled bootstrap,

https://bugs.freedesktop.org/show_bug.cgi?id=104181 Bug ID: 104181 Summary: [NV50/G94] system freeze on youtube with epiphany 3.26 Product: xorg Version: unspecified Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

I and some other people have problems with running the freedos image included in Ultimate Boot CD (UBCD), when using memdisk for floppy emulation. Memdisk starts booting the image and freedos shows the following menu: 0 Boot Clean 1 Boot UMBPCI (silent) 2 Boot UMBPCI (optimal) 3 Boot UMBPCI (semi-defensive) 4 Boot EMM386 (optimal) 5 Boot EMM386 (semi-defensive) 6 Boot no UMB (defensive) 7 Boot

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,

Hi R list, I imported values from Excel, there is a column with numbers like 45%, 65%, 12%. I want to find its mean. What should I use? strisplit() split() parse() Data from dput(), structure(c(78L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("", "-0.15%", "-0.34%", "-1.3%", "-10.77%", "-100.00%", "-11.45%",

Dear list members, I am new member and fairly new into R world! I hope what I have is not beyond the purpose of this list. I did first search for similar experimental designs without success. I want to perform an ANOVA analysis using the aov() function. I am not 100% sure that I have it right. If anyone can help me, that will be greatly appreciated. My design is not balanced for any of the

Hi r-users, I would like to draw line plots. However, the plot starts from 11121 data and plot data ENTRY last in the plot. Here is the code and data. datn <- read.table(header=TRUE, text=' LEVEL STATUS CGPA DIPLOMA ENTRY 3.32 DIPLOMA 11121 2.91 DIPLOMA 11122 2.90 DIPLOMA 12131 2.89 DIPLOMA 12132 2.89 DIPLOMA 13141 2.93 DIPLOMA 13142 2.96 DIPLOMA 14151 2.76 DIPLOMA 14152 2.73 STPM

Hi When I call for the loadings of my plsr using the command, x <- loadings(BHPLS1) my loadings contain variable names rather than numbers. >str(x) loadings [1:94727, 1:10] -0.00113 -0.03001 -0.00059 -0.00734 -0.02969 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:94727] "PCIList1" "PCIList2" "PCIList3" "PCIList4" ... ..$ : chr

I have a PC-BSD system running with SAMBA. I wanted to backup an image disk which size is about 10Gb. The system has 4 HD, each 80 GB, so the space was not the problem. I tried to copy this image data from Windows XP to my PC-BSD system via samba. I could copy up to 2Gb and then I had an error. I googled to find out how to fix this error and I found that it was fixed some time ago. I

Hi everyone, I have been looking at the Bigglm (Basically does Generalised Linear Models for big data under the Biglm package) command and I have done some profiling on this code and found that to do a GLM on a 100mb file (9 million rows by 5 columns matrix(most of the numbers were either a 0,1 or 2 randomly generated)) it took about 2 minutes on a linux machine with 8gb of RAM and 4 cores.

Hello, I have been using the function 'svycoxph' in the Dr. Lumley's survey package (version 3.26) to compute coefficient estimates for Cox regression. I have noticed the p-values output are based on normal distribution (like in coxph); however in svyglm (and in other software, such as Stata or SAS) the p-values are computed via the t distribution with degrees of freedom equal to the

I have a Fedora Core 1 machine and I am trying to install "smbldap-tools-0.8.4-1.1.fc2.dag.i386.rpm" However, I am having the following problem: [root@jesus root]# rpm -i smbldap*.rpm warning: smbldap-tools-0.8.4-1.1.fc2.dag.i386.rpm: V3 DSA signature: NOKEY, key ID 6b8d79e6 error: Failed dependencies: perl(Net::LDAP) is needed by smbldap-tools-0.8.4-1.1.fc2.dag

Hello, Two lapply questions (system info and sample data below): 1) Why does the first form of command1 add the name of y _after_ the str() output rather than before as does the second (preferred) form? # command1 version1 invisible(lapply(ls(pattern='bn'), function(y) cat(y, "\n", str(get(y)), "\n") )) # command1 version2 (preferred output)

Hello, I am doing simulations, and I generate a list at each iteration (with three component matrices in the example below), saving the results in a list. For example, after two iterations, I have something like > str(sim.theta) List of 2 $ :List of 3 ..$ : num [1:6, 1:4] -3.67 -1.07 -2.99 -18.38 -3.26 ... ..$ : num [1:6, 1:6] -7.56 -3.14 -4.99 1.03 2.79 ... ..$ : num [1:6, 1:4]

I am just assuming this can be done, but I have not gotten close to making it happen. I have a data file with about 1 million rows with 1470 unique subjects. Each row represents a small set of observations made on a specific date for a single subject. I would like to transform the data so that I have an R object with a single entry for each subject and start date and vectors for the

hi all, well, i have set up proper command line parameters for for C-Shootout tests to get reasonable running time for benchmarking. I have compared "gcc -O3" and "llvmgcc -Wl,-native-cbe" here goes output (which shows that llvm is already better for test with intensive function calls): time -p ./gcc_ackermann 11 user 2.36 time -p ./llvm_ackermann 11 user 1.07

Dear R developers, I have encountered strange behaviour of fitdistr for gamma in recent R build i.e. 2.2.0. I have attached the code for data at the end of this mail so you can reproduce the problem. In short, I am able to run fitdistr under 2.1.0 without problems, while I get the following error under 2.2.0 (Version 2.2.0 Patched (2005-11-15 r36348)) > fitdistr(otm, "gamma") Error

Hi, Thanks for the reproducible example. Looking at str(datn) would give you a clue. STATUS is a factor because it contains character values. Factor levels by default are alphabetical with numbers first, but you can change those. > str(datn) 'data.frame': 36 obs. of 3 variables: $ LEVEL : Factor w/ 4 levels "DIPLOMA","MATRIC",..: 1 1 1 1 1 1 1 1 1 4 ... $

Hello Everyone,   Below is my first attempt at R programming. The code replicates example 5.1 from Common Statistical Methods for Clinical Research with SAS Examples. I was hoping that people more experienced than myself would be willing to take a look and let me know what I did well and what could have been done better. I'd be particularly grateful if anyone could tell me why the two user