similar to: within-groups variance and between-groups variance

Displaying 5 results from an estimated 5 matches similar to: "within-groups variance and between-groups variance"

2002 Jul 03
2
grouping in scatterplot3d
Hi all, I've been using the scatterplot3d function (from the scatterplot3d library) to create 3D plots. I was wondering whether there is anyway to group the points according to a particular group variable. For example I used the plot function as plot( factor( <GROUPINGVAR> ) , <PLOTVARS> ) to organise the results in a according to the grouping variable. I was wondering
2012 Mar 20
1
overriding "summary.default" or "summary.data.frame". How?
I suppose everybody who makes a package for the first time thinks "I can change anything!" and then runs into this same question. Has anybody written out information on how a package can override functions in R base in the R 2.14 (mandatory NAMESPACE era)? Suppose I want to alphabetize variables in a summary.data.frame, or return the standard deviation with the mean in summary output.
2010 Mar 30
1
Adding RcppFrame to RcppResultSet causes segmentation fault
Hi, I'm a bit puzzled. I uses exactly the same code in RcppExamples package to try adding RcppFrame object to RcppResultSet. When running it gives me segmentation fault problem. I'm using gcc 4.1.2 on redhat 64bit. I'm not sure if this is the cause of the problem. Any advice would be greatly appreciated. Thank you. Rob. int numCol=4; std::vector<std::string>
2006 Oct 30
1
nlme Error: Subscript out of bounds
Hello, I am new to non-linear growth modelling in R and I am trying to reproduce an analysis that was done (successfully) in S-Plus. I have a simple non-linear growth model, with no nesting. I have attempted to simplify the call as much as possible (by creating another grouped object, instead of using subset= and compacting the fixed and random expressions.) This is a what the grouped
2012 Mar 12
1
Speeding up lots of calls to GLM
Dear useRs, First off, sorry about the long post. Figured it's better to give context to get good answers (I hope!). Some time ago I wrote an R function that will get all pairwise interactions of variables in a data frame. This worked fine at the time, but now a colleague would like me to do this with a much larger dataset. They don't know how many variables they are going to have in the