search for: intakeds

Hi, I wanted to calculate the age of people in my dataset by subtracting the individual's date of birth from their intake into a program. After several hours, searches of help archives, and the downloading of lubiridate, I have had no luck with this. Below is the code I used. > intakeDS$DOB <- as.character(intakeDS$DOB) > intakeDS$DOB <- as.Date(intakeDS$DOB, "%Y%m%d") > > # Make IntakeDate a date variable, by first converting it from numeric to character then from character to date > #intakeDS$IntakeDate <- as.character(intakeDS$IntakeDate) &gt...

Hi! First of all: I'm a newbie to both statistics and R, so please be patient with me... I do however, like R because I've been programming (pascal, IDL, perl, C etc) and designing models since -92, but never related to statistics. Ok, here we go: I've got a set of 15 people, all of them observed over 10 weeks (10 analysed blood samples) with - let us kall it the A-value - influenced

Hi. Please, how can I put together 2 or more lines at the same scatterplot ? Example: measures of protein intake (quantitative) of 4 children over 30 days, by day. How to plot all children at same graphic: Protein X Time ? Is there any command like "overlay" ? Thank you, Mauricio

Hi, This is not a DTrace technical question (so, please don''t flame me for it) :) This is regarding the DTrace (un)conference TShirt. I am curious to know what engine is it. Could not figure it out. Thanks and regards, Sanjeev. -- Solaris Revenue Products Engineering, India Engineering Center, Sun Microsystems India Pvt Ltd. Tel: x27521 +91 80 669 27521

I run two streams from ezstream via Icecast2 - one over http and one over https. In the ezstream config file I have defined two servers (http and https) and the two streams point to the different servers (by their names). But, if I go to the following two url's, Icecast report same (http-) 'streaming url' for both: https://radio.horsens-garage.rocks:8443/

I have the following senerio. Call file calls 1st party. When connected give called party option to connect to second party. Issue Dial to second party. Caller answers and the two are bridged together. My issue is that 4 out of 5 calls fail to bridge the audio. Am I missing something or is there some kind of bug? Here is my test dialplan ;Dialer Base Code Files. ;Variables

Hi, I am new to lattice graphics and have the following question. I have a dataframe d2: cat PointsInTime MeanScore 1 Parent Intake 26.25000 2 Youth Intake 9.75000 3 Worker Intake 20.63636 4 Parent Discharge 24.00000 5 Youth Discharge 15.60000 6 Worker Discharge 23.90909 and to produce a plot I am using the following code print(xyplot(MeanScore ~

New to R; please excuse me if this is a dumb question. I tried to RTFM; didn't help. I want to do a series of regressions over the columns in a data.frame, systematically varying the response variable and the the terms; and not necessarily including all the non-response columns. In my case, the columns are time series. I don't know if that makes a difference; it does mean I have to call

Dear R experts, I got help to build a loop but there is a bug inside it that causes one part of the mechanism to fail. It should grow once, but if keep growing on rows where $ti_all is not NA. Here is a wall of code that very crudely demonstrates the problem, there is a couple of dim() outputs at the end where you can see how it the second time around keeps adds (2) rows, but this does not

Hi guys, I tried reading up the RSPEC Book (Dec 2010) and googled a bit but I could not find anything. I''m using Rspec2. Example: spec/factories/categories.rb ====================== FactoryGirl.define do factory :category_intakes, :class => ''category'' do name ''intakes and filters'' description ''airfilters and

Hi all :) Using lm_sensors, I can see few temperature indicator. M/B Temp: +39?C (low = +15?C, high = +40?C) sensor = thermistor CPU Temp: +33?C (low = +15?C, high = +45?C) sensor = thermistor Temp3: +53?C (low = +15?C, high = +45?C) sensor = diode What is that Temp3? It's the hottest. Which one is the best to use if I want to use lm_sensor as a general

Hi all: There was a concern raised by reviewers of a manuscript of mine over the proper execution of a Pearson's correlation. In brief, this was undertaken in order to determine the relationship between the extent of wheel running (y axis) and ethanol intake (x axis) across three, separate 10 day periods in 7 animals. In the paper, the correlational plots for each 10 day-period had 70 data

Dear helpers, I'm estimating multilevel regression models, using the lme-function from the nlme-package. Let's say that I estimated a model and stored it inside the object named 'model'. The summary of that model is shown below: Using summary(model)$tTable , I receive the following output: > summary(model)$tTable Value Std.Error DF t-value

Hi I am managing samba server in school. "Server" is on VIA 800MHz processor with 80GB IDE hard drive. there is no domain at the moment, just simple sharing, security share and smbpasswd file. I have 300 computers (each classroom has 20) with winxp sp2 auto logon limited local account, 300 users (6 intake groups). Passworded home directorys on Samba and Pupils have access to it by

Dear All, I'm trying to model heteroscedasticity using a multilevel model. To do so, I make use of the nlme package and the weigths-parameter. Let's say that I hypothesize that the exam score of students (normexam) is influenced by their score on a standardized LR test (standLRT). Students are of course nested in "schools". These variables are contained in the

LS, I'm estimating multilevel regression models, using the lme-function from the nlme-package. Let's say that I estimated a model and stored it inside the object named 'model'. The summary of that model is shown below: Using summary(model)$tTable , I receive the following output: > summary(model)$tTable Value Std.Error DF t-value

I would like to fit a hierarchical regression model from Witte et al. (1994; see reference below). It's a logistic regression of a health outcome on quntities of food intake; the linear predictor has the form, X*beta + W*gamma, where X is a matrix of consumption of 82 foods (i.e., the rows of X represent people in the study, the columns represent different foods, and X_ij is the amount of

I recently read about the following new technologies from Digium. Has anyone tried the new HPEC or knows when it will be available? TDM800P and HPEC The TDM800P is an 8-port analog telephony interface card, so it fills the gap between Digium's 4-port and 24-port cards. Analog phones and POTS lines are going to be with us for some time, and demand for support for them remains high. The

Hello, I was hoping that this would work: http://blogs.sun.com/zhangfan/entry/how_to_turn_a_mirror I have 4x(1TB) disks, one of which is filled with 800GB of data (that I cant delete/backup somewhere else) > root at FSK-Backup:~# zpool create -f ambry raidz1 c4t0d0 c5t0d0 c5t1d0 > /dev/lofi/1 > root at FSK-Backup:~# zpool list > NAME SIZE USED AVAIL CAP HEALTH ALTROOT

LS, I'm estimating multilevel regression models, using the lme-function from the nlme-package. Let's say that I estimated a model and stored it inside the object named 'model'. The summary of that model is shown below: Using summary(model)$tTable , I receive the following output: > summary(model)$tTable Value Std.Error DF t-value