similar to: conditional coloring of output text in console or in GUI

Is there a way to automate fitting and assessing loglinear models for several nominal variables . . . something akin to step or drop1 or add1 for linear or logistic regression? Thanks. --Chris -- Christopher W. Ryan, MD SUNY Upstate Medical University Clinical Campus at Binghamton 40 Arch Street, Johnson City, NY 13790 cryanatbinghamtondotedu "If you want to build a ship, don't drum

I can't seem to find just what I'm looking for in R help, Everitt and Hothorn HSAUR, Murrell's book, or the R graphics gallery at http://addictedtor.free.fr/graphiques/. Probably not looking efficiently, but anyway, If my data look like this: > head(data) cat startyear studentid 1 other 2001 12 2 UHS 2001 17 3 Lourdes 2001 10 4

R 2.5.1 on WinXP I'm trying to create new variables in a dataframe called jaw, as powers of jaw$age up to the sixth power, and name them jaw$age.(--the digit corresponding to the power--) Obviously none of these work (silly for me to try, I suppose): for (i in 2:6) { jaw$age.'i' <- jaw$age^i } for (i in 2:6) { jaw$age.i <- jaw$age^i } for (i in 2:6) {

Suppose I have a Master.Rnw file that looks something like this: \documentclass[12pt]{mypaper} \usepackage[margin=1in]{geometry} \usepackage{setspace} \usepackage{url} \usepackage{indentfirst} \usepackage{fancyhdr} \usepackage{Sweave} \pagestyle{fancy} \lhead{sonographic rectal diameter and ADHD} \rhead{ } \usepackage{abbrevs} %\usepackage{natbib} %\usepackage{apacite}

I can't seem to use the point-and-click identify() function properly. I'm running R 2.5.1 (I know, I need to get around to upgrading) under Win XP. The problem is, when I click on a point on the graph, I get an error, "no point within 0.25 inches." But in some areas, I can click where there is no visible point anywhere close, and an identify() label will pop up. The troublesome

I start with a dataframe called xrays. It contains scores on films from each of two radiologists. It is in "long" format. I used the reshape package to melt a data frame and then cast it into "wide" format, one line for each patient (identified by redlognumb) with scores from both radiologists for a given patient on the same line. I named the result of the casting xrays.data.

Based on the feedback received, I did the following: a) moved my lib sub-directory from the existing installed R version to c:\myRLib b) installed the updated R version c) created .Renviron file in the home directory (C:\R-2.5.1) with the line R_LIBS=c:/myRLib d) used .libPaths() command to confirm that the new R installation was recognizing the myRLib sub-directory e) deleted my old R

How would I color points conditional on their value in a plot of a time series. Something like this: ## demonstration data ttt <- ts(rpois(12, lambda = 8), start = c(2000, 1), freq = 4) ttt plot(ttt, type = "p") ## doesn't work--all points the same color plot(ttt, type = "p", col = ifelse(ttt < 8, "black", "red")) ## also doesn't work--all

Every day I get a csv file containing the names of the 64 schools in our county, the number of students sent home ill, and the number of students absent (plus lots of other variables). The file is cumulative since fall of 2009. It is in "long" format: one line per school per day. Each line is also supposed to contain the total number of students enrolled in the school. That number

I'm trying to make a factor with levels for day of week, appear as Monday-Sunday, rather than alphabetically. I'm using reorder.factor from gdata package, but obviously not using it properly. What am I doing wrong? Thanks. >data <- read.table("DataEarly2008.txt", sep=" ", header=T, as.is=1:2) >str(data) 'data.frame': 7953 obs. of 9 variables: $

Excellent! Worked like a charm. Thanks. --Chris Ryan On Tue, May 1, 2018 at 4:33 PM, William Dunlap <wdunlap at tibco.com> wrote: > The ts method for plot() is quirky. You can use the default method: > > plot(as.vector(time(ttt)), as.vector(ttt), type = "p", col=ifelse(ttt<8, > "black", "red")) > > > Bill Dunlap > TIBCO Software

Running R 2.13.1 on Windows XP. I would like to get week of the year (1-52) for each date. library(chron) dts <- dates(c("02/27/92", "02/27/92", "01/14/92","02/28/92", "02/01/92")) dts dts.chron <- as.chron(dts) dts.chron class(dts.chron) # all of these component extractions work: months(dts.chron) weekdays(dts.chron) years(dts.chron)

Running R 2.5.1 on WinXP with Tinn-R, and using Sweave via MikTex. I am having trouble with the code below: ------------------------------------------------------- <<lowerCI95>>= lowerCI95713 <- t.test(data713, alternative="greater") lowerCI95713.bound <- lowerCI95713$conf.int[1] @ Thus a lower 95\% confidence bound on the mean octane concentration is

The ts method for plot() is quirky. You can use the default method: plot(as.vector(time(ttt)), as.vector(ttt), type = "p", col=ifelse(ttt<8, "black", "red")) Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, May 1, 2018 at 1:17 PM, Christopher W Ryan <cryan at binghamton.edu> wrote: > How would I color points conditional on their value in a plot

You may also want to check this out: plot(ttt, type = "p") points(ttt, col = ifelse(ttt < 8, "black", "red")) Eivind K. Dovik Bergen, NO On Tue, 1 May 2018, Christopher W Ryan wrote: > Excellent! Worked like a charm. Thanks. > > --Chris Ryan > > On Tue, May 1, 2018 at 4:33 PM, William Dunlap <wdunlap at tibco.com> wrote: > >> The

I participate peripherally on a listserve for middle- and high-school science teachers. Sometimes questions about graphing or data analysis come up. I never miss an opportunity to advocate for R. However, the teachers are often skeptical that their students would be able to issue commands or write a little code; they think it would be too difficult. Perhaps this stems from the Microsoft- and

I'm very new to R, trying to learn it. I started with R 2.4, but I have since upgraded to 2.5.0, on WindowsXP. I understand that 2.5.1 is now available. Last night in the course of things I loaded libraries "coin" and "survival". I received warning messages that they had been built under version 2.5.1. However, as far as I could tell, they worked OK. But this brought

A question for anyone using Tinn-R: I find that using the default color scheme with the white background on my laptop hard on the ole' eyes. I see the drop-down menus leading to the ability to change the colors of individual components (numbers, commmands, strings, etc, and the background for each of those.) I can play around with background colors and foreground colors. However, I'm

I'm currently enrolled in the distance education masters degree program in statistics at Texas A&M University. I'm hoping the program will help me develop skills useful in advancing my primary care research endeavors. Having a great time so far, learning a lot. I have one semester in which to take a non-statistical elective. What I'd like to learn in that semester is some of

I am trying the following lattice graphics code: > library(lattice) > attach(junk) > summary(junk) mean.barr variable value Min. : 3.50 item15 :15 Min. :0.0000 1st Qu.: 9.50 item14 :14 1st Qu.:0.0000 Median :11.00 item16 :14 Median :0.0000 Mean :11.64 item1 : 0 Mean :0.6744 3rd Qu.:16.00 item2 : 0 3rd Qu.:1.0000 Max. :20.00 item3 :