similar to: less than full rank contrast methods

Each of the following calls crash ("core dumps") R (R --vanilla) on various versions and OSes: regexpr("a{2-}", "") sub("a{2-}", "") gsub("a{2-}", "") EXAMPLES: > sessionInfo() R version 2.11.1 Patched (2010-09-16 r52949) Platform: i386-pc-mingw32 (32-bit) ... > regexpr("a{2-}", "") Assertion

Each of the following calls crash ("core dumps") R (R --vanilla) on various versions and OSes: regexpr("a{2-}", "") sub("a{2-}", "") gsub("a{2-}", "") EXAMPLES: > sessionInfo() R version 2.11.1 Patched (2010-09-16 r52949) Platform: i386-pc-mingw32 (32-bit) ... > regexpr("a{2-}", "") Assertion

I couldn''t find the answer in previous posts (hope I didn''t miss it). I have a muti-layer deployment process in which a given deployment depends on previous deployments. How can I know when the fist deployment is finished so I can carry on to the next one? How can I know what is the success rate (assuming multiple nodes deployments)? For example if I want to deploy a web

Good list I am not very good with English. I use dovecot-1.0-1.2.rc15.el5.x86_64rpm for Centos 5.1, Maildir like mailbox and I have it configured as it continues: base_dir = /var/run/dovecot/ protocols = imaps pop3s imap mail_location = maildir:~/Maildir protocol imap { mail_plugins = quota imap_quota mail_plugin_dir = /usr/lib/dovecot/imap } protocol pop3 { pop3_uidl_format =

Questions re this statement in the ZDNET article -- "In all cases, users reported that downgrading systems to a previous release to reverse the BootHole patches usually fixed their problems." A previous release of what? GRUB2 So that's my first question. Second. I'm assuming the the muti-screen UEFI settings I see are standard for more recent BIOS -- not sure of version. Do

I''m using Shorewall with a load-balanced muti-ISP config along with LSM for failover. It''s working great, except for DNS requests. I''d appreciate some advice on how to best configure this. The WAN connections are a T1 through XO and a cable connection through Comcast. About 80% of the traffic is routed out the Comcast connection under normal connections. I would

Hello everybody, I'm reading the .td files defining the Cortex-A57 processor, which is a subtarget of AArch64 target, and there is something confusing me in the `AArch64SchedA57.td` file. In the top of `AArch64SchedA57.td`, various processor resource are defined, as follows ``` def A57UnitB : ProcResource<1>; // Type B micro-ops def A57UnitI : ProcResource<2>; // Type

> Hi > > I am running following asterisk installed with apt on Debian 7.1. > > dpkg -l |grep asterisk > ii asterisk 1:1.8.13.1~dfsg-3+deb7u1 > amd64 Open Source Private Branch Exchange (PBX) > ii asterisk-config 1:1.8.13.1~dfsg-3+deb7u1 > all Configuration files for Asterisk > ii

Dear All, I have installed 4 asterisks on the same Centos machine..>Each Asterisk has its own installation folder and use its own libraries...Everything looks great and all asterisks are doing their jobs correctly except one thing...I faced a voice quality issue...On a specific time, and after the number of calls begin increasing, the voice quality will begin degradation... Could it be a

Dear All, I would like to ask how to customize the graph corresponding to a procrustes analysis. I have to distance matrices, that I transform to two set of coordinates by means of muti dimensional scaling: library(mva) c1<-cmdscale(mat.dist1) c2<-cmdscale(mat.dist2) I vant to rotate c2 on c1, and I use the "procrustes" analysis from the {vegan} library. library(vegan)

?contrast in the contrast package gives me the following description. However, I have no idea what Type II and III contrasts are. Could somebody explain it to me? And what does 'type' mean here? *?type?*: set ?type="average"? to average the individual contrasts (e.g., to obtain a Type II or III contrast)

Hello R users, I'm analyzing an experiment in a balanced incomplet block design (BIB). The effect of blocks are assumed to be random, so I'm using nlme::lme for this. I'm analysing another more complex experiments and I notice some diferences from doBy::popMeans() compared multcomp::glht() and contrast::contrast(). In my example, glht() and contrast() were equal I suspect popMeans()

The man page for se.contrast, when describing the contrast.obj parameter, states that "Multiple contrasts should be specified by a matrix as returned by contrasts." When doing an unbalanced single factor ANOVA, using a contrast.obj as returned by contrasts results in the following error from qr.qty when se.contrast is called: Error in qr.qty(object$qr, contrast) : qr and y must have

SAS proc rank has ties options of high and low that would allow producing ranks of the type found in the sports pages, e.g., rank (c(1,1,2,2,2,2,3)) == 1 1 3 3 3 3 7 Could R support these ties.methods?

Hello, What is the best way to get ranks for a vector of values, limit the range of rank values and create equal count in each group? I call this uniform ranking...uniform count/number in each group. Here is an example using three groups: Say I have values: x = c(3, 2, -3, 1, 0, 5, 10, 30, -1, 4) names(x) = letters[1:10] > x a b c d e f g h i j 3 2 -3 1 0 5 10 30 -1 4 I

Hi, List, I am using the package 'gee' downloaded from CRAN several days ago. I tried to do a 2 degree freedom contrast but couldn't get any result. It must be so obvious but I just couldn't get it. Any hint would be greatly appreciated. Here is a sample code: set.seed(123) mydf <-

Hi,all guy, I am doing ANOVA of some data with one factor,and the result shows factor's effect is not significant,but through some plots ,I know maybe some levels of the factor is significant,so I need to do multiple contrast to tell me which levels ,What I can do? thanks a lot!

Dear R-Help, I am using the LIMMA User's Guide 5 January 2007 PDF version. For the example show in Section 7.4 DIRECT TWO-COLOR DESIGNS (pgs. 33-34), I could not grasp the rationale in developing the contrast.matrix with these R statements (">" indicates the R command prompt): > contrast.matrix <-

System: OpenSuse 11 with wine-1.1.2 Environment: MS truetype fonts are installed for SUSE, and the system is set according to http://en.opensuse.org/Optimal_Use_of_Fonts_on_SuSE, so anti-aliasing is disabled for font size under 13, the bytecode interpreter threshold is set to 18 points. Problem: The settings are working for native Linux programs, the fonts are sharp. However in windows

I am looking for an R package with which one can calculate an effect size for a set of contrasts given an omnibus chi-square test statistic (more than 1 degree of freedom). Is there such a package? Presumably, it would implement the procedure (or something like it) described by Roznow and Rosenthal 1996 Psychological Methods 1: 331-340. many thanks! Steven Orzack Fresh Pond Research Institute