similar to: Importing data

Hi, I am trying to learn some basic statistics stuff but I cannot find any elementary statistics exercises using R language. Using RKward would be even better... I need that in analysing sociological data, obtained through questionnairres - findind corelations between variables, relations between different types of data, etc. Could anyone recommend simple tutorials/exercises, available on www

Dear R users, experimenting with the lm function in R, I've encountered some behaviour I don't understand with my limited knowledge of regression. I made a data-'set' of three measurements (see syntax below). Using lm (linear model) to fit the regression-line, I expected to find an intercept of 2.0 and a slope of 0, but in fact the slope is slightly below zero. Amazed by

Dear R users, I am trying to get data from the clipboard into R on MacOSX. I tried the following, but got an error message: read.delim("clipboard") Error in file(file, "r") : unable to open connection In addition: Warning message: unable to contact X11 display Obviously, I'm not running R using X11. I'm wondering, can I import data from the clipboard on MacosX?

Deal all, new as I am to developing packages for R-Project, I apologize on beforehand for questions that are too obvious. I am trying to 'add' a PDF document containing some detailed information to a package. The way I understand the Rexts.pdf document, I should add my .PDF document to the /inst/doc/ folder, and links to the files should be build automatically. However, after

Dear helpers, I've come up with what is probably a simple problem, but I cannot find the solution. I have a data-set containing survey-data from several countries. What I want to do is to perform some regression analyses, for each country separately. The question is, how to do this nicely (thus without repeating the same syntax with another `subset' argument). I thought of the

Dear expeRts, I am trying to plot a lme-object {package nlme) in such a way, that on a selected level the x-axis represents the value on a selected predictor and the y-axis represents the predicted-outcome variable. The graphs would than consist of several lines that each represent one group. I can't find such a plotting function. I could write such a function myself, based on

Dear helpeRs, I'm working with the map-package and came upon a problem which I couldn't solve. I hope onee of you can. If not, this can be seen as a suggestion for new versions of the package. I'm trying to create a map of some European countries, filled with colors corresponding to some values. Let's say I have the following countries and I assign the following colors

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

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

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

Hi, I'm running some data simulations using (mixed effects)* regression models that show difficulty to converge. Therefore, I seek a way of capturing warnings (of false convergence) inside a loop. Inside that loop, I modify data and estimate a model. I do so many times with slightly different modifications of the data. Next, I extract some of the model parameters and store these in a matrix.

Dear All,   I am trying to run a program using SEM and the input data is a covariance matrix (polychoric correlations). However I get an error message which says:                              is.triangular(S) : (list) object cannot be coerced to 'double'   Do not know what the problem is. Have done something almost similar without any problems.   Thanks very much   Simo

Hi, I cannot figure out how to draw a certain plot: could someone help me out? I have this data.frame from a survey my.data that looks like something like this: col1 col2 col3 col4 1 5 5 4 5 2 3 5 3 1 3 2 3 4 5 4 3 1 1 2 5 5 5 4 5 6 4 2 5 5 .... Each row represents a single questionnaire

Hi R users, I need to draw a map of select European countries with country names shown on the map. Does anyone know how to do this in R? Also, is it possible to draw a historical map of European countries using R? Thanks a lot for your help. Maomao [[alternative HTML version deleted]]

Hi, I am using a note book computer to do simulation. Even I added a commend line in the shortcut on my desktop for R. I still get a message saying reached total memory allocation of 502 Mb. Any suggestions will be welcome. Nancy -- Nancy C.H. Lo, Ph.D Southwest Fisheries Science Center 8604 La Jolla Shores Dr. La Jolla, CA 92037 858-546-7123(o) 858-546-5656(x)

Hi, Fitting all possible models (GLM) with 10 predictors will result in loads of (2^10 - 1) models. I want to do that in order to get the importance of variables (having an unbalanced variable design) by summing the up the AIC-weights of models including the same variable, for every variable separately. It's time consuming and annoying to define all possible models by hand. Is there a

Hi there, as a student sociology, I'm starting to learn about SEM. The course I follow is based on LISREL, but I want to use the SEM-package on R parallel to it. Using LISREL, I found it to be very usable to be able to see the total direct and total indirect effects (standardized and unstandardized) in the output. Can I create these effects using R? I know how to calculate them

Hello R-help, I am trying to import a large dataset from SPSS into R. The SPSS file is in .SAV format and is about 1GB in size. I use read.spss to import the file and get an error saying that I have run out of memory. I am on a MAC OS X 10.5 system with 4GB of RAM. Monitoring the R process tells me that R runs out of memory when reaching about 3GB of RAM so I suppose the remaining 1GB is used up

Dear R-users, I'm facing a problem with the import of data in R. I have a sav file that, I presume, uses some Arabic encoding (but I don't know which one) and I would like to read it with R. When I use the function read.spss (I also tried spss.get(Hmisc)), I get the following message: > read.spss("Hhld.sav") Erreur dans read.spss("Hhld.sav") : erreur ? la lecture