Re: [R] lines on plot

al Message- > > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > > project.org] On Behalf Of Anthony Lopez > > Sent: Friday, 21 May 2010 5:39 a.m. > > To: R-help@r-project.org > > Subject: [R] lines on plot > > > > Is there an easier wa

Re: [R] lines on plot

quot;,"3","4","5","6","7"), tck=1) > > should do it? See tck in help("par"). > > Hope this helps. > > Allan. > > > On 20/05/10 18:38, Anthony Lopez wrote: > >> Is there an easier way to make this graph

[R] lines on plot

Is there an easier way to make this graph *without* having to specify all of the separate segment arguments at the end? > x <- c(1,2) > off <- c(4,5.5) > def <- c(5.5,5.9) > par(fg="lightblue4") > plot(x,off,type="o",col="dodgerblue4",ylim=c(2,7),xlim=c(0.7,2.3),axes=F,xlab="Labor Condition",ylab=

Re: [R] how to save multiple plots in one PDF file?

one way: x <- rnorm(100) y <- x+rnorm(100) par(mfrow=c(2,2)) # this sets up the graphics window to expect a 2x2 layout plot(x,y) boxplot(x,y,names=c("var1","var2")) hist(x) hist(y) mtext("fourplots on same page",side=3,outer=T,line=-1.5) and you can adjust as needed to put more or less plots o

Re: [R] categorical variable in scatterplot (car)

oducible example seems >> applicable here. >> >> Regards, >> John >> >> >> John Fox >> Senator William McMaster >> Professor of Social Statistics >> Department of Sociology >> McMaster University >> Ha

[R] categorical variable in scatterplot (car)

Hello R folks, I am encountering a problem with the following scatterplot function from the car package: > scatterplot(y~x|z) where y and x are continuous (interval) random variables and z is a categorical variable. When z is a categorical variable coded 1 or 2, I (appropriately) get a scatterp

[R] contradictory output between ncv.test() and gvlma()

Can anyone tell me why the ncv.test output and the gvlma output would be contradictory on the question of heteroscedasticity? Below, the ncv.test output reveals a problem with heteroscedasticity, but the gvlma output says that the assumptions are acceptable. How is this reconciled? > ncv.test(de

[R] summated scale

hello, I am new to R (convert from Stata) and I am wondering if there is an R command/function for generating a summated scale from, for example, four separate variables in a data set. In other words, I want to transform the variables x1, x2, x3, and x4 (which have high inter-item reliability) in