similar to: SSQ decomposition and contrasts with ANOVA

# Dear R list, # # A have a doubt about SSQ decomposition and contrasts with ANOVAs. # So, I would like a tip from more advanced R users. # Below my data, the basic script and my doubts: # Data r = paste('r', gl(3, 8), sep='') e = paste('e', rep(gl(2, 4), 3), sep='') tra = sort(paste('t', rep(1:6, 4), sep='')) y = c(26.2, 26.0, 25.0, 25.4,

Dears members of R list, It would like that a more experienced statician in R helped me to complete the analysis to follow: r = gl(3, 8, label = c('r1', 'r2', 'r3')) e = rep(gl(2, 4, label = c('e1', 'e2')), 3) y = c(26.2, 26.0, 25.0, 25.4, 24.8, 24.6, 26.7, 25.2, 25.7, 26.3, 25.1, 26.4, 19.6, 21.1, 19.0, 18.6, 22.8, 19.4, 18.8, 19.2, 19.8, 21.4,

Dears members of R list, It would like that a more experienced statician in R helped me to complete the analysis to follow: r = gl(3, 8, label = c('r1', 'r2', 'r3')) e = rep(gl(2, 4, label = c('e1', 'e2')), 3) y = c(26.2, 26.0, 25.0, 25.4, 24.8, 24.6, 26.7, 25.2, 25.7, 26.3, 25.1, 26.4, 19.6, 21.1, 19.0, 18.6, 22.8, 19.4, 18.8, 19.2, 19.8, 21.4,

Dears members of R list, I would like that a more experienced R user help me to complete this analysis: r = gl(3, 8, label = c('r1', 'r2', 'r3')) e = rep(gl(2, 4, label = c('e1', 'e2')), 3) y = c(26.2, 26.0, 25.0, 25.4, 24.8, 24.6, 26.7, 25.2, 25.7, 26.3, 25.1, 26.4, 19.6, 21.1, 19.0, 18.6, 22.8, 19.4, 18.8, 19.2, 19.8, 21.4, 22.8, 21.3) df =

I started using R to draw different plots. Thereby I'm having different problems adjusting graphical parameters. I wonder wy, because I don't see any reason. I'm using R61.1 with Linux Slackware (kernel 2.0?), emacs19.31 and ESS-5.0 1. I want to write a text on margin-site 4, therefore I need to reduce my plot in size . But whatever I do, the size doesn't change:

Hello, I have some trouble using step() and stepAIC() functions. I'm predicting recruitment against several factors for different plant species using a negative binomial glm. Sometimes, summary(step(model)) or summary(stepAIC(model) does not select the best model (lowest AIC) but just stops before. For some species, step() works and stepAIC don't and in others, it's the opposite.

Hello, For some analysis of a mesh structure I need to prepare several vectors of indexes of different length. This is done by the following code sequence (including diagnostic output): #-------------------------------------------------- MT_ind <- which(V1.frame[,2] %in% mm[,1]) print("M_ind") str(M_ind) Q1_ind <- which(V1.frame[,2] %in% mq1) print("Q1_ind")

I'm trying to set-up a ContOS 7 DomU server. I have used the PXE set-up images like I normally would for earlier versions of CentOS. Here is my config file:- name      = "centos7" memory    = 2048 disk      = ['phy:/dev/xen6/centos7,xvda,w' ] vif = [ 'mac=xx:xx:xx:xx:xx:xx' ] kernel    = "/root/xen/centos7-64/vmlinuz" ramdisk   =

Hi I would like to be able to use this UPS with NUT please ? Product id = 53962KX Network UPS Tools - Generic HID driver 0.38 (2.7.2) USB communication driver 0.32 0.000000 debug level is '2' 0.002761 upsdrv_initups... 0.014996 Checking device (03F0/0024) (001/005) 0.032670 - VendorID: 03f0 0.032790 - ProductID: 0024 0.032955 - Manufacturer:

Hello to all speex developers, I have question regarding payload length of narrowband speex in RTP. I were watching tcpdump of the xlite softphone and have found that it uses weird payload length namely 75 Bytes I went through various source and without success. To be clear: For 8000Hz sample in 20 ms that is 160 samples per frame. This makes 50 frames per sec. modes bit-rate 8 kbit/s

Hi i would like to use some graphs or tables to explore the data and make some sensible guesses of what to expect to see in a glm model to assess if toxin concentration and sex have a relationship with the kill rate of rats. But i cant seem to work it out as i have two predictor variables~help?Thanks.:) Here's my data. >

Hello, I'm trying to develop a box plot of time series data to look at the range in the data values over the entire period of record. My data initially starts out as a list of hourly data, and then I've been using this code to make this data into the final ts array. # Read in the station list stn.list <- read.csv("/home/kbennett/fews/stnlist3", as.is=T, header=F) # Read in

Greetings everyone, Firstly, sorry for the huge length of this message. The support page said send debug traces, and so debug traces shall be sent. OS name and version - Arch Linux - updated today. exact NUT version - 2.7.4 (Network UPS Tools - Generic HID driver 0.41 (2.7.4) USB communication driver 0.33) NUT installation method - Arch User Repository build script updated to use latest NUT

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++