similar to: Unexpected behavior in boxplot

Dear all, I am a total beginner in R, so sorry if this is the wrong place. I am using R 2.10.1 on a Mac (Mac OS 10.6.2). I have this small dataset : growth sugar 75 C 72 C 73 C 61 F 67 F 64 F 62 S 63 S I have no problem reading the table, or getting the summary, but if I try boxplot(growth~sugar, ylab="growth", xlab="sugar", data=Dataset), I have the following error :

I have generated some some survival times and censoring indicators. Thus I have an ordered pair for each observation. How do I sample these ordered paris? I only know how to sample from a vector? I would appreciate any help I could get. Thanks Matt

Greetings, How to I read in SPSS .sav files into R. Thank you. David ===================================== David Kaplan, PhD Professor of Education School of Education University of Delaware Newark DE 19716 Voice: 302-831-8696 Fax: 302-831-4110 email: mailto:dkaplan at udel.edu Homepage:

hello list, i'm a bit puzzled by the error message i get when i copy past this in R:

Dear Users Is there any way to generate lines instead of points for outliers in the boxplot function? Thanks AA. [[alternative HTML version deleted]]

Full_Name: Steve Ellison Version: 2.4.1 OS: Windows, Linux Submission from: (NULL) (194.73.101.157) bxp() allows specifcation of box locations with at=, but neither adjusts xlim= to fit at nor does it respect xlim provided explicitly. This is because bxp() now includes explicit xlim as c(0.5, n+0.5), without checking for explicitly supplied xlim (or ylim if horizontal). This also prevents

Dear R-core team, I think I found a small inconsistency in the boxplot function. I don't want to post it as a bug since I'm not sure this might be considered as one according to the FAQ --- and this is not a major problem. Don't hesitate to tell me if I'm wrong. If you try to do a boxplot on a matrix and set the "at" argument to some vector different from 1:n, n is the

Hi, the graphical parameter "cex.axis" does not have any affect for "boxplot": data(iris) boxplot(iris[,1:4], ylab="y", cex.lab=2, cex.axis=2) The patch is simply adding "cex.axis" to the search for axis relevant parameters in "bxp": ax.pars <- pars[names(pars) %in% c("xaxt", "yaxt", "las",

Hello there, I am doing analysis on survival data. How do I pick out a probability of survival at a chosen landmark time(for example, 3 years, 4 years) from the result of "survfit"? or any other functions? As I know, the result of 'survfit' only have the probabilities for all event or cencor time. Thank you very much Lisa Wang Princess Margaret Hospital Toronto, Ca tel:

dear R experts: I am playing with boxplots for the first time. most of it is intuitive, although there was less info on the web than I had hoped. alas, for some odd reason, my R boxplots have some fat black dots, not just the hollow outlier plots. Is there a description of when R draws hollow vs. fat dots somewhere? [and what is the parameter to change just the size of these dots?] Also, let

Hello How do I use function 'MERGE" to combine the FILE A and FILE B below to make FILE C? Thank you FILE A 140 151 167 30.1 11.4 40 FILE B 140 167 5.7 30.3 FILE C 140 151 167 30.1 11.4 40 5.7 NA 30.3

There seems to be a problem with partial matching of argument names in boxplot(), in respect of the "horizontal" argument. I don't recall seeing this issue discussed previously. My apologies if I am being redundant. (A scan of CRAN revealed that someone had experienced problems with the "horizontal" argument, but he was spelling it out in full, so that was a different

I have installed the binary packages for Debian GNU/Linux release 2.3 (woody) in the U.S. mirror of the CRAN archive. They should propagate to the main CRAN archive within a day and to the other mirrors within two days. These packages have been compiled with gcc-3.0 and g77-3.0. I believe the testing distribution currently provides only a snapshot of gcc-3.0, not the latest released version, so

I have installed the binary packages for Debian GNU/Linux release 2.3 (woody) in the U.S. mirror of the CRAN archive. They should propagate to the main CRAN archive within a day and to the other mirrors within two days. These packages have been compiled with gcc-3.0 and g77-3.0. I believe the testing distribution currently provides only a snapshot of gcc-3.0, not the latest released version, so

Hi, when I generated a survfit() object, I can get number of patients at risk at various time points by using summary(): fit<-survfit(Surv(time,status)~class,data=mtdata) summary(fit) class=1 time n.risk n.event survival std.err lower 95% CI upper 95% CI 9.9 78 1 0.987 0.0127 0.963 1 41.5 77 1 0.974 0.0179 0.940 1 54.0 76

I've rolled up R-2.4.1.tar.gz a short while ago. This is a maintenance release and fixes a number of mostly minor bugs. See the full list of changes below. You can get it (in a short while) from http://cran.r-project.org/src/base/R-2/R-2.4.1.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core

I've rolled up R-2.4.1.tar.gz a short while ago. This is a maintenance release and fixes a number of mostly minor bugs. See the full list of changes below. You can get it (in a short while) from http://cran.r-project.org/src/base/R-2/R-2.4.1.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core

Dear all, is this a bug or do a miss something (this concerns version 0.63.1 on Linux)? > boxplot (c (1, 2, 3, 4, 5), ylim= c (-5, 5)) Warning: parameter "ylim" couldn't be set in high-level plot() function > boxplot (c (1, 2, 3, 4, 5), pars= list (ylim= c (-5, 5))) Warning: parameter "ylim" couldn't be set in high-level plot() function > and actually in

Good Afternoon- I was wanting to alter the boxplot to remove the lower whisker, both the whisker line and staple just on the lower end. Is there a way to do this? As my code is currently: boxplot(log_loads~ind,data=nfmaum, horizontal=TRUE, notch=T, outline=FALSE, whisker=0, main="Maumee River Near Future Climate Scenarios", ylab="Log Load",xlab="Climate Scenarios")

Hello: Let me rephrase my question to attract interest in the problem I'm having. When I appply anova() to two equations estimated using glmmPQL, I get a complaint, > anova(fm1, fm2) Error in anova.lme(fm1, fm2) : Objects must inherit from classes "gls", "gnls" "lm","lmList", "lme","nlme","nlsList", or "nls"