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I am writing course notes in LaTeX. In the part where I am describing model-fitting functions in R I want to use a ~ character inline. If I am displaying an example of R code in its own environment I use the alltt environment, which protects the ~ character. I have forgotten how to protect the ~ when I am writing something like The operator `~' is used to define a model formula in \R.

Hello, As you can see from my signature in this message, I use the R fortune function to generate a fortune, which is then fed to the signature program, which constructs a named pipe containing the fortune-bearing sig, which is then included in mail messages. The problem is that it's got extraneous junk in it and I can't figure out how to get rid of it. This is the command that generates

I have data on every grade in all elementary schools in Chicago over 5 years. I would like to estimate a trend over time for each grade in each school. There are 17,600 data all together (about 460 schools, nearly 8 grades each, over 5 years). Is there a not-so-hard way to do this in R (I was thinking of using rlm)? ______________________________________________________________________ Stuart

I seem to remember this coming up before, but I can't find it any messages I've saved or in the archives (searching by subject). I want to rotate mtext so that it's perpendicular to the right side. I tried srt=90 and lots of other values, but it seems to be ignored. Is there a way to do this? ______________________________________________________________________ Stuart Luppescu

Colors are real nice, but the publication I'm preparing these barplots for permits only black and white. The Splus plot options ``dbangle'' (or plain ``angle'') and ``density'' (as on p. 65 of MASS 1st ed.) don't seem to be available in R. Is there another way to do this? I'm running R 1.1.0 on Linux (intel). Thanks.

My mind has become corrupted by having to use SAS too much. I wanted to calculate the difference of elements of two vectors if the signs are the same. I tried it the corrupted way first: if (effects1[,3] < 0 & effects0[,3] < 0) { imprv1 <- effects0[,3] - effects1[,3] } else if (effects1[,3] > 0 & effects0[,3] > 0) { imprv1 <- effects1[,3] - effects0[,3] } else {

Hello, this is just a point of curiosity with me. I want a sequence of numbers from 64 to 70, omitting the 2nd and 4th numbers. I can do it these ways: > seq(64, 70)[-c(2, 4)] [1] 64 66 68 69 70 > foo <- 64:70 > foo[-c(2, 4)] [1] 64 66 68 69 70 But how come this doesn't work? > 64:70[-c(2, 4)] [1] 64 65 66 67 68 69 70 Just wondering. -- Stuart Luppescu -=- slu .at.

Hello, I'm trying to do a little rlm of some data that looks like this: UNIT COHORT perdo adjodds 1010 96 0.39890 1.06894 1010 97 0.48113 1.57500 1010 98 0.36328 1.21498 1010 99 0.44391 1.38608 It works fine like this: rlm(perdo ~ COHORT, psi=psisquare) But the problem is that I have about 100 UNITs, and I want to do a

I am very confused about this. I want to convert a string to a name so I can use it to extract an element of a data frame using `$'. Here is my (non-working) code: do.graph <- function (meas) { fn <- paste("a", meas, ".dat", sep='') themeas <- read.table(fn, header=F) ameas <- as.name(paste("a", meas, sep=''))

Hi there, I realize that this is a bit of a strange question, but here goes. In SAS, one can use the REG procedure to carry out a least-squares regression analysis. By specifying the R-SQUARE option in the SELECTION command, the program carries out regressions for every combination of every independant variable against the dependant variable. This is useful in smaller datasets, though difficult

Hi there. R v1.3.0, Slackware linux 7.1 or Windows 98SE, PII 266, 64Mb RAM. I notice that under windows, R puts help info (ie. the response to '?<function>') into a new window, whereas under linux, it puts it into the main console window. I find the former much more helpful when checking a function's syntax. Is there a simple way of configuring R under linux to put its help

Sorry to keep asking elementary questions......I appreciate the help. I am trying to create a dotchart with the rows sorted according to the values, rather than the labels. When I try prof <- c('Accountant', 'Administrative assistant', 'Garment worker', 'Cook', 'Dentist', 'General practictioner', 'Graduate student', 'High level

Hello, I want to add wireless capability to my Gentoo-linux based firewall/router at home, so I bought a Netgear MA311 PCI and installed the hostap package. I load the hostap_pci module and the wlan0 interface comes up fine. I can detect the signal from a wireless enabled laptop. Now I'm thinking I'm going to bridge the wlan0 interface and the eth1 interface, and run the firewall with br0

Hello all, I need to extract rows and columns from a data frame and put them in a matrix. In some cases, there are no rows in the data frame meeting the selection criteria. For those rows I want to put a row of 0's in the matrix. Here's my clumsy code: tab1.m1 <- matrix(0, nrow=2, ncol=4) tab1.m1[1,] <- ifelse(length(as.matrix(tab1[tab1$comp==the.comp & tab1$schlid==the.schl

Hello, the R people. I look for robust regression in R. This method is available in S, its name is rreg. Colud anyone teach me ? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

I'm trying to shade part of a density plot. The code I'm trying (using the Old Faithful data as an example) is something like this: # The Old Faithful geyser data data(faithful) d <- density(faithful$eruptions, bw = "sj") plot(d) polygon(d[d$x>4], col = "wheat") I expected that the part of the curve to the right of 4 on the x axis should be shaded, but nothing

Hi R fans, I was trying to write some code in R when I realized that I was just writing a FORTRAN 77 style program in the R syntax, and hence coming nowhere near tapping the potential of R. I'm wondering what is a good reference that would help me get up to speed in programming in R (i.e., using these classes, methods, objects, accessor functions, and many other things I don't

Hello, This one is very perplexing. I have teacher observation data, with factors teacher ID, observer ID, component, grade and subject. When I do this, aov(data=ratings.prin.22, rating ~ obsid.f + tid.f + subject.f + grade.f + comp.f) I get this: Terms: obsid.f tid.f grade.f comp.f Residuals Sum of Squares 306.23399 221.38173 1.70000 14.52831 279.05780 Deg. of

Hello all, I want box plots by group to display in order of increasing mean (or median) of each group but can't seem to figure it out and couldn't find anything on R-seek, either. My data looks like this: meas unit sid grade rsprti 1 2.24 1002 99999902 NA 0.8600000 2 3.04 1007 43589520 3 0.9400000 3 4.95 2002 39910470 5 1.5300000 4 2.24 2002 39986280 5

Hello, I have to construct 5 new columns in a data frame depending on the value of another of the columns in the data frame. The only way I could figure out to do this was to subset the data frame five times, do the variable construction, and then rbind the subsets back together. Here's part of the code I used: read001 <- read[read$existstr=="001",] read001$era1end <- NA