similar to: Removing object - searching/googlin' ..and more hasn't helped :(

Dear All, I have recently installed CentOS 5 and is workin perfect i recently download n installed poppassd daemon ver 1.6a so as to let the users to change their password but when i try to change password i get the folling error 500 'BAD PASSWORD: it is based on a dictionary word' i tried googlin arround and tried to play with system-auth-ac file in /etc/pam.d but no use my

Hey everybody, I'm currently look for a script that would allow: Querying a client, via an IVR for things such as zipcode, Area code or maybe a portion of the last name. Using that information to make a Linux ODBC query to an iSeries AS/400 database. The information gained from that query would be converted to an audio stream that is then played back to the client. I've

John; I'm trying to flash 7.1. What I followwd was the wiki page you refer to. My real question is do I need the .load file tftp debug shows the 7960G is asking for? Voipsupply didn't supply it. I'm trying to verify that's what I need befor I start hounding them. -JB Hawaii John Bittner wrote: >John, > >You have to go to 7.1 before 7.3 >Also look at this.

Dear All, this i feel is a little out of topic but really apprecite if someone can help i am tryin to authenicate my Centos 5.2 box to windows 2003 ADS server .. but am not able to do so . i get the following error when i run kinit kinit(v5): Improper format of Kerberos configuration file while initializing Kerberos 5 library i have the following packages installed on my linux box [root at

I'm implementing a custom bootstrap resampling procedure in R. This procedure resamples clusters of data points obtained by different subjects in an experiment. Since the bootstrap samples need to have the same size as the original dataset, `target.set.size`, I select speakers compute their data point contributions to make sure I have a set of the right size. set.seed(1)

I din't have the patience to go through your missive in detail, but do note that it is not reproducible, as you have not provided a "data" object. You **are** asked to provide a small reproducible example by the posting guide. Of course, others with more patience and/or more smarts may not need the reprex to figure out what's going on. But if not ... Cheers, Bert Bert Gunter

Hi everyone, I?m trying to do a spaghetti plot and I know I?m doing all wrong, It must be. What I need: 15 subjects, each with measurements over 5 different times (t1, ..., t5), and the variable that I need to represent in the spaguetti plot is given by: PCR = b0 + b1 * ti + epsilon B0, - baseline of each subject B1 - trajectory of each subject over time (so multiply by t) Epsilon - error

Hello, I am having some difficulties with ActiveRecord. What I want to do is to get a collection of SubjectGroups for using with option_groups_from_collection_for_select My Code: ======================================== class Subject < ActiveRecord::Base has_and_belongs_to_many :users belongs_to :subject_group end class SubjectGroup < ActiveRecord::Base has_many :subjects end

Hi Rosa, You pass a vector to ggplot, which expects a data.frame. I am sure you meant to do this: point7$y_point7 <- point7$beta0_7 + point7$beta1_7*point7$time + point7 $epsilon_7 ggplot(point7, aes(time, y_point7)) + geom_line() HTH Ulrik On Wed, 19 Jul 2017 at 20:37 Rosa Oliveira <rosita21 at gmail.com> wrote: > Hi everyone, > > I?m trying to do a spaghetti plot and I

Dear All, I am trying to simulate data for a spline/piecewise regression model. I am missing something fundamental in my simulation procedure because when I try to fit my simulated data using the Gauss-Newton method in SAS, I am getting some wacky parameter estimates. Can anyone please check my simulation code and tell me what mistake I am making in generating data for spline model? Thank you

I have two vectors for values collected from a group of subjects, say a=c(100,200,150,120,140,180) b=c(200,300,420,130) I also have two vectors which indicate the corresponding subjects for a and b, say for a, the subjects are suba=c(1,2,3,4,5,6) for b, the subjects are subb=c(1,3,5,6) Then, I want to find out the paired values from a and b, such as (100, 200) (from subject 1), (150,300)

Hi I'm having difficulty working out how to get what I think is the appropriate partitioning of variability in a repeated measures setup. I have G=5 treatment-groups, each containing n=6 subjects, and a response is measured on each subject on t=4 occasions. I think the anova degrees of freedom should partition as follows - Between-subjects: G*n-1=29 [ between-groups: g-1 = 4 ,

Hi, I have sets of three points provided by subjects that I want to graph as lines over a specific range, but the subjects were split into two groups and provided different points. The subjects provided a y-value for the given x-value, for example: Subject: 1 2 3 4 ... 127 "1" NA 3 2 NA ... "2" 4 NA

Dear All, I have a data as follows: ID <- 1:100 Y <- rnorm(100) X <- rnorm(100) type <- as.factor(rep(1:3,100,time=1)) df <- as.data.frame(cbind(ID, Y,X,type)) I want to plot Y versus X by specifying the pch to be as follows: Subjects having type = 1 must be plotted with a character pch = "A" Subjects having type = 2 must be plotted

I will like to analyse a binary cross over design using the random effects model. The probability of success is assumed to be logistic. Suppose as an example, we have 4 subjects undergoing a crossover design, where the outcome is either success or failure. The first two subjects receive treatment "A" first followed by treatment "B". The remaining two subjects receive

Hello, I am confused about the order of nesting in mixed models using functions like aov(), lme(), lmer(). I have the following data: n subjects in either condition A or B each subject tested at each of 3 numerical values ("distance" = 40,50,60), repeated 4 times for each of the 3 numerical values ("trial" = 1,2,3,4) Variable summary: Condition: 2 level factor Distance:

Hello, I am having trouble specifying a suitable nlme model. My data structure is described by gd <- groupedData(ppath ~ lcut | exp, outer = ~ bait, inner = ~ weight, data = d) i.e. the response (ppath) of several subjects (sub) was measured at levels of a continuous variable (lcut). Subjects were given either of one level of a factor (bait), and all subjects were measured at two levels

dear all, i'm trying to reproduce an spss-anova in R. It is an 2x3x3 repeated measures desingn with repeated contrasts. In R i've coded a contrast matrix for all factors and made a split in the aov summary - but I can't get the repeated interaction contrasts. The output from SPSS looks like this: TaskSw * CongNow * CongBefore: SS df Mean Square F Sig. 1 vs. 2 1 vs. 2 1 vs. 2

Hi, I am running a learning experiment in which both training subjects and controls complete a pretest and posttest. All analyses are being conducted in R. We are looking to compare two training methodologies, and so have run this experiment twice, once with each methodology. Methodology is a between-subjects factor. Trying to run this analysis with every factor included (ie, subject as a

I am executing a Repeated Measures Analysis of Variance with 1 DV (LOCOMOTOR RESPONSE), 2 Within-Subjects Factors (AGE, ACOUSTIC CONDITION), and 1 Between-Subjects Factor (SEX). Does anyone know whether the between-subjects factor (SEX) belongs in the Error Term of the aov or not? And if it does belong, where in the Error Term does it go? The 3 possible scenarios are listed below: e.g., 1.