similar to: Flattening a list of data frames

Hello all, I have a data frame with the following columns: timestamp, activity, interval. Each row contains information about an activity that occured over a time interval. "Timestamp" is when the interval ended, "Activity" is a factor that represents the type of activity, and "Interval" is a double which represents an interval in time. The data frame is sorted

#I wish to create a "list of three dataframes" ("results2") from a "list of two dataframes" (temp) and a dataframe ("c")? #Please advise. a <- data.frame(x=c(1,2,3),y=c(5,7,9)) b <- data.frame(x=c(2,4,7,9),y=c(2,3,5,4)) c <- data.frame(x=c(22,34,7,9),y=c(52,63,5,4)) results1 <- list(a,b,c) #what I want #but this is how I need to get there

Hello: I''m trying to put a puppet master on an EC2 instance, and have it be accessible to agentes using either its EC2 DNS name (e.g., ec2-xxx-xxx-xxx-xxx.compute-1.amazonaws.com) or a friendlier alias (e.g., puppet.example.com). My /etc/puppet/puppet.conf looks like: [master] certname=ec2-xxx-xxx-xxx-xxx.compute-1.amazonaws.com

Hello all, (Apologies in advance if my terminology is incorrect, I'm relatively new to R and statistics). I have data from a factorial design with two treatments (CRF-23), and I'm trying to compute treatment-contrast interactions through analysis of variance. I can't figure out how to do contrasts properly, despite reading the help for "C" and "contrasts"

Hello, I'm trying to get the pointer to the first element of a string (so that I can pass it to a function). The string itself is a constant kept in a global variable. My end goal is to generate the IR for something like "puts("Hello World")"; I'm stuck on the parameter part of the call instruction. So far I have something like this: const std::string& str =

Hello there, I am using nlme() to fit a logistic mixed effect model on our data. The outcome variable is binary. I got the error when I wanted to add a group factor to my model. My initial model is as below: model.a <- nlme(response~ 1/(1 + exp( -intercept- u0 - slope*TIME - u1*TIME)), + fixed=intercept+slope~1, random= u0+u1~1 |studentID,

Hey- I''m using ROR 1.0 and script.aculo.us 1.5.1. I''ve been trying unsuccessfully to render a partial in a DIV, but can''t seem to get the right combination of stuff to make it work. There seems to be a few different ways of going about it. Right now I can render a partial. What do I need to to render the partial in a div? Here is what it looks like so far: #

I can't seem to find just what I'm looking for in R help, Everitt and Hothorn HSAUR, Murrell's book, or the R graphics gallery at http://addictedtor.free.fr/graphiques/. Probably not looking efficiently, but anyway, If my data look like this: > head(data) cat startyear studentid 1 other 2001 12 2 UHS 2001 17 3 Lourdes 2001 10 4

Hi All, The data set that I have is a cluster data, and I want to run a HLM mixed model with multi-level response. Here is my data set: response: - Level (num: 1, 2, 3, 4, 5 - 5 levels) Covariates: - Type (Factor: A, B, C - 3 levels) - yr (num: 2006, 2007, ...) - Male (num: 0=not Male, 1=Male - 2 levels) - Ethnicity (Factor: A, B, H, ..., - 7 levels) - ELL (num: 0, 1, - 2

I currently have a data frame whose rows correspond to each student and whose columns are different variables for the student, as shown below: Lastname Firstname CATALOG_NBR Email StudentID EMPLID Start 1 alastname afirstname 1213 *@uark.edu 10295236 # 12/2/2008 2 anotherlastname anotherfirstname 1213 **@uark.edu ## 10295236 9/3/2008 Xattempts Q1

Dear Sir, As per request below, I want to use your LLVM project in my thesis and I have no idea where to start and I couldn't find any information about how to build my test programs with your infrastructure and get my required information. Is your tool is a testing tool? Can it accept program and test case as input and output like the input test case is cover which branch and which

I''m trying to create a function that will take input in the form "a12345678" and output text in the form "a12-34-5678" if and only if the input text is * not* in the form "adam smith" The goal is to allow my users to enter either names separated by a space, or the student id number into a single search field and have the results be returned based on the

Hi, I am trying to find the min of day for each student in each year. Here is the dataset: date studentid year 1/1/05 6:07 AM 236 20082009 3/27/09 9:45 AM 236 20082009 4/29/09 8:44 AM 236 20082009 3/27/09 11:36 AM 310 20082009 4/1/09 10:43 AM 310 20082009 10/15/09 8:54 AM 310

Hi! Here''s what I want: root class 0010 premium parent class 1000 premium child classes 1xyz best-effort parent class 2000 best-effort child classes 2xyz default class 3000 Here''s how I do it: eth1: DEFAULT=3000 eth1-0010.root: RATE=100Mbit LEAF=sfq eth1-0010:1000.premium CEIL=352Kbit RATE=352Kbit PRIO=2 LEAF=sfq eth1-0010:1000:1xyx.child1 CEIL=32Kbit RATE=8Kbit

I have some problem with traffic shaping on debian testing. I actually posted a full config on the list a while ago but didn''t get any answers. The problem is that traffic doesn''t get into the user classes (~150) when I associate a class with a qdisc. I tried sfq, fifo but none works. If I dont''t associate a qdisc with a class classification occurs well.

When playing around fitting unconditional growth models using R and MlwiN today, I produced two different sets of estimates that I can't reconcile and wondered if anyone here has an idea: The data is two-level repeated measures data with measures nested within child. There are two measures per child. I've fit an unconditional growth model as in Singer and Willet (2003) that allows for

I am working with mapping ActiveRecord onto a legacy database. All is going well (using set_table_name, set_primary_key, etc), but I can''t get my many<=>many relationships to work. My contrived example of the situation: Student has_and_belongs_to_many Teachers. This is mapped via table student2teacher where the foreign keys are studentId and teacherId. The primary key in Student

Hello. I am new to R and new to linear mixed effects modeling. I am trying to model some data which has two factors. Each factor has three levels rather than continuous data. Specifically, we measured speech at Test 1, Test 2 and Test 3. We also had three groups of subjects: RepTP, RepNTP and NoRepNTP. I am having a really hard time interpreting this data since all the examples I have seen

Hello lmer() - users, A call to the lmer() function causes my installation of R (2.11.1 on Mac OS X 10.5.8) to crash and I am trying to figure out the problem. I have a data set with longitudinal data of four subsequent performance measures of 1133 individuals nested in 88 groups. The data is in long format. I hypothesize a performance increase for each individual over time and intend to

Hi I am trying to convert SAS codes to R, but some of the result are quite different from SAS. When I ran proc mixed, I have an option ddfm=bw followed by the model. How can I show this method in R?(I am thinking that this maybe the reason that I can't get the similar results) below is my SAS codes: proc mixed data=test covtest empirical; class pair grade team school; model score = trt