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Is there any way to search the console during an interactive session? I've looked and looked, and can not find one. In some add-on package, maybe? Sorry to be so basic, but help would be greatly appreciated. andrewH -- View this message in context: http://r.789695.n4.nabble.com/Searching-the-console-tp3797884p3797884.html Sent from the R help mailing list archive at Nabble.com.

Dear folks-- Suppose I have an expression that evaluates to a string, and that that string, were it not a character vector, would be a symbol. I would like a function, call it doppel(), that will take that expression as an argument and produce something that functions exactly like the symbol would have if I typed it in the place of the function of the expression. It should go as far along the

Dear folks ? I have a large (26 gig) ASCII flat file in fixed-width format with about 10 million observations of roughly 400 variables. (It is 51 years of Current Population Survey micro data from IPUMS, roughly half the fields for each record). The file was produced by automatic process in response to a data request of mine. The file is not accompanied by a human-readable file giving the

I have a humongous csv file containing census data, far too big to read into RAM. I have been trying to extract individual columns from this file using the colbycol package. This works for certain subsets of the columns, but not for others. I have not yet been able to precisely identify the problem columns, as there are 731 columns and running colbycol on the file on my old slow machine takes

Dear folks -- There are a number of functions -- I am thinking of str() as an example -- that produce text as a side-effect, rather then returning it. Is there any way to send the text produced by such functions into a character variable? Any suggestions would be greatly appreciated. andrewH -- View this message in context:

Dear Folks-- Is there a data frame analog to sparse matrices? I am working with a panel data set that has a large number of variables that are redefined repeatedly or exist for only a few years (out of 48). In my current structure, where variables are columns and rows are years, more than 90 percent of the cells and more than 3/4 of the total size of my file are NAs. I am wondering if there is

I have a couple of hundred American Community Survey Summary Files files containing rectangular arrays of data, mainly though not exclusively numeric. Each file is referred to as a sequence (henceforth "seq"). From these files I am trying to extract particular subsets (tables) consisting of a sets of columns. These tables are defined by three numbers (now in columns in a data frame):

ear folks ? I have a question, though it is more of a logic- or a good practices-question than a programming question per se. I am working with data from the American Community Survey summary file. It is mainly categorical count data. Currently I am working with about 40 tables covering about 35 variables, mainly in two-way tables, with some 3-way and a handful of four-way tables. I am going to

Dear Folks-- I'm trying to make a function that takes the columns I select from a data frame and then uses a for loop to print some information about each one, starting with the column name. I succeed in returning the column name, but nothing else I have tried using the variable colName, containing the name of the column, to refer to the column itself has worked. Below I show my

Dear folks? Is there a function to correctly find (and count) the NAs in a factor when exclude=NULL, regardless of whether their origin is in the original data or by subsequent assignment? In example number 1 below, where NAs are assigned by is.na()<-, testing the factor with is.na() finds the correct number of NAs. In example number 2, where the NAs are from the data, neither is.na(), ==NA,

Using str() in a function. I am in the early phase of learning R, and I find I spend a lot of time trying to figure out what is actually in objects I have created or read in from a file. I'm trying to make a simple little function to display a couple of things about a object, let's say the summary() and the str(), sequentially, preferably without a bunch of surplus lines between them. I

Dear folks, I?m trying to build a function to create and make available some variables I frequently use for testing purposes. Suppose I have a function that takes some inputs and creates (internally) several named objects. Say, fun1 <- function(x, y, z) {obj1 <- x; obj2 <- y; obj3 <- z <missing stuff> } Here is the challenge: After I run it, I want the objects to be

There is something that I wish I had that I think would help me a lot to be a better R programmer, that I think would probably help many others as well. I put the wish out there in the hopes that someone might think it was worth doing at some point. I wish I had the code of some substantial, widely used package ? lm, say ? heavily annotated and explained at roughly the level of R knowledge of

The following series of patches fill in most of the gaps in the OCaml bindings to libxl, to make them useful for clients such as xapi/xenopsd (from XCP). There are a number of bugfixes to the existing bindings as well. I have an experimental version of xenopsd that successfully uses the new bindings. An earlier version of the first half of the series was submitted to the last by Ian Campbell on

Dearfolks-- I have been told by an experienced R programmer and teacher whom I trust that it is easier to understand R code if you read it aloud, as the language that it is. However, she was clear that reading it aloud was not simply reading the marks on the screen: you read A.df[5,] as "the fifth row of A.df" (or "the fifth row of data frame A"), not as "A dot df left

Dear folks ? I have a bunch of data frames where columns 1:(n-1) contain information about a county, and columns n and higher contain a time series of monthly observations on that county. I wanted to get the data in columns n and higher to be recognized as a bunch of time series. So I wrote a function that was supposed to turn all the columns from a given column number on into a time series: #

I would like to correspond or talk on the phone with anyone who has founded a SIG or participated in numerous SIGs and has thoughts or lessons learned about what makes them thrive, stagnate or die. Also, if anyone has written anything useful on this topic (SIG health, SIG growth, SIG moderation (in the social rather than the technical sense), and the like) I would greatly appreciate a pointer to

Dear Folk-- Suppose I have some objects A, B & C, and a function getDots <- function(...) {args <- list(...) etc.} If I do a call to getDots(A, B, C) then the variable args will be assigned to a list which contains the objects to which A, B & C refer, but which will not (except by happenstance) contain the names A, B, or C. I would like getDots to return a named list, with the

I have a survey data set of 6 years and about 1500 persons surveyed per year, with roughly 200 questions per survey. The samples are drawn independently without replacement and are intended to represent the nation (USA). I would like to create something like a synthetic panel, dividing the respondents up into groups and then seeing if year to year changes in the mean value of my independent

Dear folks-- I always seem to find that I spend more than half my time making sure my input date is in the right form, properly aligned, with no bizarre features. You know the drill: five kinds of missing values, three of them documented. An alpha mistype in one numeric field turns 30,000 numbers into factor levels. SPSS conversion turns 250 factors nicely into R factors, except 3 have levels