similar to: what happens when I store linear models in an array?

We are constructing growth charts (age/weight and age/length) for children with diagnosis that impacts weight/length. But we we don't know how to use R for producing growth charts. We are collection data of Age, Weight and Length. The data are used to produce diagnosis-specific Growth charts (like the CDC Growth Charts:

Hello R User, I was trying to display r.squared and p value in table from regression, but I could not display these parameters in the table (matrix) for example individual <- c(1,1,6,8,8,9,9,9,12,12) day <- c(4,17,12,12,17,3,9,22,13,20) condition <- c(0.72, 0.72, 0.67, 0.73, 0.76, 0.65, 0.68, 0.78, 0.73, 0.71) test <- data.frame(individual, day, condition) ind.id <-

Dear List-members, I found a strange behaviour in the lqs function. Suppose I have the following data: y <- c(7.6, 7.7, 4.3, 5.9, 5.0, 6.5, 8.3, 8.2, 13.2, 12.6, 10.4, 10.8, 13.1, 12.3, 10.4, 10.5, 7.7, 9.5, 12.0, 12.6, 13.6, 14.1, 13.5, 11.5, 12.0, 13.0, 14.1, 15.1) x1 <- c(8.2, 7.6,, 4.6, 4.3, 5.9, 5.0, 6.5, 8.3, 10.1, 13.2, 12.6, 10.4, 10.8, 13.1, 13.3, 10.4, 10.5, 7.7, 10.0, 12.0,

Hello everybody, First of all, congratulations on samba 3.0 :o) Iam trying to install samba 3.0 with pdb_mysql support though im getting some trouble i cant understand. After reading the output of ./configure --help, i used the following configure args: ./configure --with-expsam=xml,mysql --with-pam --with-pam_smbpass make make install then i took a look at ./examples/pdb/mysql/smb.conf and:

Dear R users, Let?s say I have 10 models, each named m1,m2,m3..., and I would like to summarize them automatically and simultaneously - e.g., to extract parameter estimates later on from all models; how can I do that? I have tried: x=1:10 #this creates some example data y=rnorm(10) m1=lm(x~y) m2=lm(x~1) sum.lms=function(x)summary(paste("m",x,sep="")) sum.lms(1:2) but

Dear all, I've fitted a lm using 61 data (training data), and I'left 10 as test data. Training data and test data are stored in an excell. training <- read.xls("C:/...../training.xls") , the same for test. That is: v1 v2 ... v15 When I type str(training) and str(test), both sets have the same names The resulting model is lms <- lm(vd ~ log(v1) + fv2+ fv5+ fv7 )

Hello list, Some days ago i sent an email to this ML about a problem im having with listing users on winXP/2k+3 computers. The thing is our samba PDC has +1600 users and, this time i counted, there only appear on the "security advanced settings" list box (where we select users that can read/write/execute on a windows directory share), about 500/550 users. There is no evident reason

Hi all, We all know that mismatch between clocks of ADCs of far-end voice and near-end voice is not allowed in a time-domain or frequency-domain LMS based AEC system. It means that capture and render audio streams must be synchronized to a same sample rate. However, I found that this restriction is removed in microsoft AEC from Windows XP SP1. Anyone knows how microsoft AEC do it? This technology

Hi All, Many Thanks to Underwood for her excellent review of our big trouble which prevent LMS-based AEC algorithms to be used in most computer. Maybe it can be summaried as follows: 1. Different sample rate of sampling and rendering does exists in most low-cost soundcards (In my experiments over more than 20 soundcards, the differences range from 0.5Hz to more than 50Hz when sample rate is set

Hi Shridhar, Sample rate conversion is not enough to solve this problem. I have tried this method several months ago. The first step is to measure the difference between sample rate of capturing and rendering. Then resampling (by what you said "sinc interpolation") one signal to eliminate the difference. The frequency step in my experiment is less than 0.1Hz. I have tried speex AEC

Hi, trying to do a robudt regression of a two-way linear model, I keep getting the following error: > lqs(obs ~ y + s -1,method="lms", contrasts=list(s=("contr.sum"))) Error: lqs failed: all the samples were singular Robust regression with M-estimators works (also regular least square fits, of course): rlm.formula(formula = obs ~ y + s - 1, method = "M",

I'm not sure this is a known bug. I'm using dovecot 1.1.19. C: s SORT (DATE) blah ALL UNDELETED OR HEADER SUBJECT {4} S: + OK C: asdf HEADER FROM {4} S: + OK C: asdf S: * SORT 1 2 4 5 3 6 7 (... all messages in folder) S: s NO [BADCHARSET] Unknown charset I think there shouldn't be "* SORT... " response. -- Aleksander 'A.L.E.C' Machniak http://alec.pl gg:2275252

Hello, I have a double matrix that I want to represent in a line chart. Although I have seen some examples I still don't manage to get it. My data is this (a double matrix called mymatrix) : Blogs Wikis Redes Etiq. SPC LMS Menor de 30 57.14 28.57 14.29 28.57 57.14 28.57 de 31 a 40 63.83 61.70 29.79 17.02 59.57 70.21 de 41 a 50 72.64 70.75 47.17 20.75 55.66 75.47 Mayor de

I have spent a fair amount of time looking for a package that is automated to run glm (binomial) regression models with all possible subsets of my independent variables. Something akin to Lumley's "leaps" package, but can be applied to glms, not just lms; or something similar to Stata's brute force "tryem" function? If anyone can point me in the right direction I

Everything is ok on Firefox, IE, and iPad. Thanks, Erin On Tue, Jan 8, 2013 at 7:58 PM, Erin Hodgess <erinm.hodgess at gmail.com> wrote: > Dear R People: > > Has anyone used R2HTML in web files that were on the Blackboard LMS, please? > > I'm starting to do these but wanted to know if there were any > potential pitfalls. > > Thanks, > Erin > > > --

Hello: [I apologize if this is a repeat. I had to rebuild my posting profile, and I think I didn't do it correctly before I sent a previous version of this.] We use rsync as a part of a home-grown backup solution. In the specific case at hand, we're using rsync to copy volumes off-site. The "sending" server invokes rsync to transfer each volume to the off-site archive.

Hi I am looking for suitable packages in R that do regression analyses using least median squares method (or better). Additionally, I am also looking for packages that implement algorithms/methods for detecting outliers that can be discarded before doing the regression analyses. Although some websites refer to "lms" method under package "lps" in R, I am unable to find such a

Greetings: I have a streaming Vorbis program on-line now at: http://64.108.112.135:8000/shouter.ogg if anyone would like to test it. I'm using Icecast 2. Best regards, == Dave Phillips The Book Of Linux Music & Sound at http://www.nostarch.com/lms.htm The Linux Soundapps Site at http://sound.condorow.net --- >8 ---- List archives:

Greetings: I have a streaming Vorbis program on-line now at: http://64.108.112.135:8000/shouter.ogg if anyone would like to test it. I'm using Icecast 2. Best regards, == Dave Phillips The Book Of Linux Music & Sound at http://www.nostarch.com/lms.htm The Linux Soundapps Site at http://sound.condorow.net --- >8 ---- List archives:

That sounds quite good, comparing it to a 24 kbp /16 khz mp3 mono mp3 stream the difference is striking. The XMMS plugin is still quite buggy though, I have to disable my MP3 plugin to get it to work right. josh On Fri, 16 Mar 2001, Dave Phillips wrote: > Greetings: > > Another test. I've re-encoded a batch of mono 22050 Hz WAVs, average > bitrate seems to hang around 30-40