[R] rpart usersplits

I'm inspecting tests/usersplits.R in rpart, trying to get my head around how to pass data to the split function. I'm trying to instantiate a number of goodness measures which compare treatment vs control within splits. A simple example is difference-in-difference estimate of a candidate split,

Re: [R] R optimization and curve()?

Ray Brownrigg-2 wrote: > > > I don't see any question here. > > However you must RTFM. > You're awful at the internet. People get intimidated about posting questions to lists because of threads like this. Most of the time when you want to say RTFM you should say (at least) say which manual t

[R] R optimization and curve()?

I'm trying to figure out how to plot basic utility maximization results with R, Ideally I'd like to plot the value of u through x1,x2 space, so you can graph income / substitution effects easily... also, it'd be nice if I could put a linear budget constraint on the graph here's an example with

Re: [R] Counting unique items in a list of matrices

I may or may not have the most elegant solution to this problem, but if it were me, I would probably put them all in a list and then unique_matrix_list <- unique(list_of_matrix) # number of unique matricies: length(unique_matrix_list) # count the number of each matrix, for (m in unique_ma

Re: [R] How to run own R functions in JRI

I guess the best answer to your question depends on the specifics of the implementation, but, i think if I were in your situation and I wanted to be able to call a function "foo" found in file "foo.R" every time a user clicked a button, i'd just source("path to "foo.R") which just parses the

Re: [R] How to run own R functions in JRI

Sure, so, all I was saying about gedit is that it handles the R session for me, which is a neat feature but not mandatory to get the expected result, there's an rprofile.site file which describes your (user specific) preferences, you can manually edit this file to add functions at start up by d

Re: [R] How to run own R functions in JRI

I think the basic answer here is "package it", which I did a couple of times but found inconvenient if I was going to change the function fairly often, i've taken a different tact, just including custom functions when R starts, i wrote a function that runs when I start the R session, loading the f

[R] multiple record types from a single file efficiently?

The current population survey march supplements contain records on households, families and individuals, each with distinct record types all in the same file. I'm trying to efficiently read these files, the following function reads the data file "indata", the records are described in lists conta

[R] on error execute:

So, i've been writing code in R interfacing with mysql, its been fun and the documentation has been useful, learning quite a bit. the only annoying thing i've been encountering is while coding/debugging, my session gets clogged, especially with sql connections. At the end of the code i dbDiscon