similar to: Book: Multilevel Modeling in R ETA?

Hi R folks, Can anyone tell me how to read in a pipe ("|") delimited text file? I've tried the following: read.delim("c:/junk/junk.txt",sep="|", skip=7, check.names=FALSE,quote = "", header=F) The file looks something like the following: RD|I|04|013|9997|68103|5|7|017|830|20000221|00:00|12.6||6|||||||||||||

Hi All, Can anyone direct me to a read function in R that will allow me to only read in rows of a text file that begin with a particular value such as the data below. I would read the entire file in and then limit, but the files were constructed such that the first two letters determine how many variables are in the row (different letters mean different numbers of columns and different

All, I have a 30 million record text file without header information. I would like to add a header to this file without reading it first. Is this possible? The code below does what I want except that the readLines portion takes quite a long time. Is there a way around reading the lines? I'm working on Windows XP. Zev input<-readLines("c:/junk/forR.csv")

Hi, For some reason I'm finding that my table caption is disappearing if I print xtable output with the floating argument set to FALSE. Below is a very simple Sweave file that produces two tables the first has no caption and the second has a caption (if you want to see it http://www.zevross.com/temp/test.pdf). Does anyone know what I can do to fix this? Zev (I'm using Windows 7, 64

Hi All, Is there a simple way to convert a string such as c("A", "B" ,"C", "D") to a string of c("Group1", "Group1", "Group2", "Group2"). Naturally I could use the factor function as below but I don't like seeing that warning message (and I don't want to turn off warning messages). Perhaps a function

Hi, I had my R to MySQL 5.0 connection working fine under 2.5.1 on Windows XP. My MySQL installation is local, not on a server and I could connect with: con <- dbConnect(MySQL(), dbname = "mydatabase", user="root", password="XX") I have updated to R 2.8.1 (RMySQL 0.7-2) but that same line of code yields: Error in mysqlNewConnection(drv, ...) : RS-DBI driver:

Hi, does anyone out there have a recommendation for multilevel / random effects and longitudinal analysis? My dream book would be something that's both accessible to a non-statistician but rigorous (because I seem to be slowly turning into a statistician) and ideally would use R. Peter

Hi R users! I am trying to learn some multilevel analysis, but unfortunately i am now very confused. The reason: http://www.ats.ucla.edu/stat/hlm/seminars/hlm_mlm/mlm_hlm_seminar.htm http://www.ats.ucla.edu/stat/sas/seminars/sas_mlm/mlm_sas_seminar.htm and MlmSoftRev. pdf from mlmRev package. >From what i see, the first two links seem to declare the level one variable as a random part (i

Group, I am new to R. In my work as a program evaluator, I am regularly asked to estimate effect sizes of prevention/intervention and educational programs on various student outcomes (e.g. academic achievement). In many cases, I have access to data over three or more time periods (e.g. growth in proficiency test scores). I usually have multiple independent and dependent variables in each

Dear ListeRs, I am trying to fit a heteroscedastic multilevel model using lmer{lme4- package). Take, for instance, the (fictive) model below. lmer(test.result ~ homework + Sex -1 + (1 | School)) Suppose that I suspect the error terms in the predicted values to differ between men and women (so, on the first level). In order to model this, I want the 'Sex'-variable to be random on

On 23 September 2017 at 17:37, Zev Weiss <zev at bewilderbeest.net> wrote: [....] > And now I'm not able to reproduce the failure at all, with or without that > patch. Not sure what could possibly be different (same git commit, same > terminal session/environment, same 'make' command), but repeated attempts > have been fruitless You didn't happen to upgrade

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

On Thu, Dec 15, 2016 at 4:22 PM, Zev Weiss <zev at bewilderbeest.net> wrote: [...] > I tested (or tried) git commit b737e4d7 on three systems, with somewhat > mixed results. Thanks for the comprehensive testing! > On Mac OSX (macOS?) 10.9, configure failed with: > > ... > checking OpenSSL header version... 1000208f (OpenSSL 1.0.2h 3 May 2016) > checking

https://bugzilla.mindrot.org/show_bug.cgi?id=1974 Zev Weiss <zev at bewilderbeest.net> changed: What |Removed |Added ---------------------------------------------------------------------------- CC| |zev at bewilderbeest.net Attachment #2125|0 |1 is obsolete|

Hi, I'm trying to reshape my data set from wide to tall format for multilevel modeling. Unfortunately, the function I typically use (make.univ from the multilevel package) does not appear to work with unbalanced data frames, which is what I'm dealing with. Below is an example of the columns of a data frame similar to what I'm working with: ID a1 a2 a4 b2 b3 b4 b5 b6 Below

Dear All, I use R to conduct multilevel modeling. However, I have a problem about the interpretation of random effect. Unlike the variables in fixed effects, the variables in random effects have not shown the p-value, so I don't know whether they are significant or not? I want to obtain this figure to make the decision. Thanks a lot! Below is the syntax and output of my program:

On Fri, 10 Aug 2018, Zev Weiss wrote: > Also x86_64 here (Core i7-4771, for what it's worth). I too have 4.17 > installed, I just haven't yet gotten around to actually running it, so 4.14 is > what's presently live on the system. If you want I think you should be able > to replicate that aspect via 'xbps-install linux4.14' (and then of course > booting said

I am using a multilevel modeling approach to model change in a person's symptom score over time (i.e., longitudinal individual growth models). I have been using the lme function in the multilevel package for the analyses, but my problem is that my outcome (symptoms) and one of my predictors (events) are count data, and are non-normal. Do you have any suggestions for how to deal with them?

Hi, I'm trying to perform a power simulation for a simple multilevel model, using the function glmmPQL in R version 2.8.1. I want to extract the p-value for the fixed-effects portion of the regression, but I'm having trouble doing that. I can extract the coefficients (summary(fit)$coeff), and the covariance matrix (summary(fit)$varFix), but I can't grab the p-value (or the

We will present a workshop on "Multilevel Modeling in R" June 18-19, 2003 in Madison, WI, USA. Details are available at http://www.stat.wisc.edu/shortcourse/Rworkshop.html