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Hello, The journal I am publishing in requires MS Word files. What is my best option for getting a high quality image of a graph done in R into Word? JPEG? Postscript? Thanks. -- View this message in context: http://www.nabble.com/R-graph-into-MS-Word%3A-which-format-to-use--tp23133745p23133745.html Sent from the R help mailing list archive at Nabble.com.

Hello, I am trying to do some data cleaning in R. I need to drop observations that take on certain values of a variable. In STATA I might type something like: drop if <variable name> == 3 drop if <variable name> == 4 Is there an R equivalent of this? I have tried playing around with the subset command, but it seems a bit clunky. What would an advanced R user's approach be for

I want to create a dataset in R with spatial correlation (i.e. clustering) built in for a linear regression analysis. Any tips on how to do this? Thanks. -- View this message in context: http://www.nabble.com/Need-help-creating-spatial-correlation-for-MC-simulation-tp19542145p19542145.html Sent from the R help mailing list archive at Nabble.com.

I am running the lmer() command in a for loop and occasionally a particular iteration is producing the false convergence warning. I would like to be able to mark these iterations with a dummy variable, but I can't find any other notification besides the warning message, which, in a for loop, only is printed after the loop is finished (which does not allow me to see which iteration it happened

Hello- Is it possible to estimate standard errors for a multiple regression model using a randomization test approach? I have seen a lot on using the procedure to get a test statistic, but nothing that talks about getting actual standard errors. Is this possible? How might I do this in R? Thank you. -- View this message in context:

Hello, I would like to add the 'equivalent' sign (i.e., three horizontal lines, almost like an equal sign) to a plot. Does R have anything like the LaTeX command '\equiv' that I could put into a plot title? Thanks -- View this message in context: http://www.nabble.com/%27equivalent%27-sign-in-plot-title-tp21360963p21360963.html Sent from the R help mailing list archive at

Hello, I know that two possible approaches to dealing with clustered data would be GEE or a robust cluster covariance matrix from a standard regression. What are the differences between these two methods, or are they doing the same thing? Thanks. -- View this message in context: http://www.nabble.com/Difference-between-GEE-and-Robust-Cluster-Standard-Errors-tp22092897p22092897.html Sent from the

Hello, I have been using the Hmisc package's deff() command for some research with clustered data. I noticed that the formula to calculate the design effect seems a bit different. The formula for the DE is: 1 + rho*(B - 1) In most resources I have seen the formula for B to simply be the average number of observations in a cluster: n/k if n is the total sample size and k is the number of

Hello, I am trying to simulate binary outcome data for a logistic regression Monte Carlo study. I need to eventually be able to manipulate the structure of the error term to give groups of observations a random effect. Right now I am just doing a very basic set up to make sure I can recover the parameters properly. I am running into trouble with the code below. It works if you take out the object

Hi, I am trying to figure out exactly what the bootcov() function in the Design package is doing within the context of clustered data. From reading the documentation/source code it appears that using bootcov() with the cluster argument constructs standard errors by resampling whole clusters of observations with replacement rather than resampling individual observations. Is that right, and is