similar to: Function some()

I tried: > data(state.x77) Warning message: In data(state.x77) : data set 'state.x77' not found data(iris) seems to work fine, but the other state datasets (which I haven’t every tried before) don’t seem to be available on my windows 7 running R 2.12.2 installation. ?state brings up the state help page page which suggest the dataset should still be there. In help there still seems to

*Dear experts,* Please excuse me for disturbing... Right now I am struggling with GLM a bit... Would you be so kind to provide me a solution on using nuisance variables. The problem is that I have data on Depression (volumetric measurements of different brain regions) and I want to include age, gender and education as nuisance parameters in the model. In the other words I would like to model the

symbols(iris[,1],iris[,2],rectangles=as.matrix(iris[,3:4]),inches=0.3, ylim=c(1,5)) Error in plot.default(NA, NA, type = "n", ylim = ylim, xlim = xlim, xlab = xlab, : formal argument "ylim" matched by multiple actual arguments Since plot is called inside symbols, with specified xlim and ylim, any specification through ,... hurts this call. I am pretty sure that you

While reading ?subset I'm referred to learn about dropvalues() as a following operation. Yet, when I issue ?dropvalue I see, "No documentation for '?dropvalues' in specified packages and libraries:". How do I identify the library/package that contains a specific function such as, in this case, dropvalues()? Rich

can you recommend a good manual for R that starts with a data set and gives demonstrations on what can be done using R? I downloadedR Langauage definition and An introduction to R but haven't found them overly useful. I'd really like to be able to follow some tutorials using a dataset or many datasets. The datasets I have available on R are Data sets in package 'datasets':

Hi all, I have not been able to find an answer to what is a simple question: conaguaMexicoSub <- subset(conagua, unidad == "Jalapa", select = c(equipo,X101:X309)) This subset gives me all the rows from conagua where unidad is Jalapa. But, please, how do I get all the rows where unidad contents Jalapa? I've been looking at regex, but I didn't find how pass one to unidad

Dear r-helpers, Does anyone have a straightforward example of putting together three unrelated (expect for a common y-axis) xyplot() figures in what would be in base graphics a par(mfrow = c(1, 3)) arrangement? _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box 400400 Charlottesville, VA 22904-4400 Parcels: Room 102

I have on occasion had the problem of missing title bars on X11 graphics windows when using R, and would like to know what others have found in terms of the occurance, source, or solution of this problem. In searching for information on this I found only the brief thread from last November which I have copied below. Anyone who has experienced this knows it brings a very unwelcome interruption to

I'm trying to set up a lattice plot with two y-axes for each panel. (Yes, I know that multiple y-axes are generally a bad idea; the graph is for someone else and they want it that way.) I've used a custom yscale.component in xyplot to achieve this: myyscale.component <- function(...) { ans <- yscale.components.default(...) ans$right <- ans$left foo <-

Hi R developers and debian users: Finally I found how to work with aggregate() function on the last patched version fo R. I you use this command it fails: aggregate(state.x77, list(Region = state.region), mean) But if you modify it in this way, it works!: aggregate(state.x77, list(Region = state.region), function(x) mean(x) ) Is it necesary to change the example? What is changing in

Hi R developers and debian users: Finally I found how to work with aggregate() function on the last patched version fo R. I you use this command it fails: aggregate(state.x77, list(Region = state.region), mean) But if you modify it in this way, it works!: aggregate(state.x77, list(Region = state.region), function(x) mean(x) ) Is it necesary to change the example? What is changing in

I believe there is a memory leak in isoreg in the current version of R, as I believe the following shows > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 120405 3.3 350000 9.4 350000 9.4 Vcells 78639 0.6 786432 6.0 392463 3.0 > for(k in 1:100) { + + y <- runif(10000) + isoreg(x,y) + } > rm(x) > rm(y) > gc() used (Mb) gc

The main challenge in Bert's original problem is that `[` and `[<-` cannot be called in a pipeline. The obvious solution is to define named versions, e.g.: elt <- `[` `elt<-` <- `[<-` Then, > z <- data.frame(a = 1:3, b = letters[1:3]) > z |> names() |> elt(2) [1] "b" > z |> names() |> elt(2) <- "foo" > z a foo 1 1 a 2 2

Hi all, I am trying to make tiff files of lattice plots at a resolution greater than 300 dpi required by a journal (PLoS ONE). I have tried both the tiff and bitmap functions. tiff keeps panel colors but reduces axes and tick labels so they are nearly invisible. bitmap maintains correct label size but only produces greyscale. Regular plots work fine with tiff; the problem is only with lattice

Hello All, Would like to be able to convert a matrix to a dataframe without losing an assigned dimname. Here is an example that should illustrate what I'm talking about. tableData <- state.x77[c(7, 38, 20, 46), c(7, 1, 8)] names(dimnames(tableData)) <- c("State", "") tableData State Frost Population Area Connecticut 139 3100 4862

Hi everyone, I've got a question concerning the function Box.test for testing autocorrelation in my data. My data consist of (daily) returns of several stocks over time (first row=time, all other rows=stock returns). I intend to perform a Box-Ljung test for my returns (for each stock). Since I have about 3000 stocks in my list, I'm not able to perform the test individually for each

I'd like to fit linear models on very large datasets. My data frames are about 2000000 rows x 200 columns of doubles and I am using an 64 bit build of R. I've googled about this extensively and went over the "R Data Import/Export" guide. My primary issue is although my data represented in ascii form is 4Gb in size (therefore much smaller considered in binary), R consumes about

Hi R users and developers on debian platforms. I compile the R version 2.8.1 Patched (2009-03-18 r48193) on my UBUNTU linux distribution. But when I ask for the aggregate example it fails. What am I missing? example(aggregate) aggrgt> ## Compute the averages for the variables in 'state.x77',grouped aggrgt> ## according to the region (Northeast, South, North Central,West) that

I have a data set which contains two columns. The first column is a list of countries, and the second column contains their political risk ratings. I would like to create one large plot that contains 5 different sections, each with a scatter plot. To clarify, I have divided the countries into 5 groups. For each group (continent), I would like to have the name of the continent on the x-axis, and

R 1.4.0 ?stars has scale: logical flag: if `TRUE', the columns of the data matrix are scaled independently so that the maximum value in each column is 1 and the minimum is 0. If `FALSE', the presumption is that the data have been scaled by some other algorithm to the range [0,1]. but the code has if (scale) { x <- sweep(x, 2,