similar to: do.call, browser and traceback

Hi everyone, I've run into a bit of strange problem with implicit vs explicit printing and the call stack. I've included an example at the bottom of this email. The basic problem is that I have an S3 object with a print method. When the object is implicitly printed (ie. typed directly into the console) the function arguments in the call stack are exploded out to their actual values,

I am having some difficulties using dynamically loaded C functions on a Sparc 10 with R compiled using cc (both R-0.49 and R-0.50). I get sporadic errors with the error message: Error: character variables must be duplicated in .C/.Fortran, with C functions which pass character variables. my C functions look like: anyfunc(char **filename, other variables ) This error message appears about 25%

I am having some difficulties using dynamically loaded C functions on a Sparc 10 with R compiled using cc (both R-0.49 and R-0.50). I get sporadic errors with the error message: Error: character variables must be duplicated in .C/.Fortran, with C functions which pass character variables. my C functions look like: anyfunc(char **filename, other variables ) This error message appears about 25%

> lm2 <- function(...) lm(...) > lm2(mpg ~ wt, data=mtcars) Call: lm(formula = ..1, data = ..2) Coefficients: (Intercept) wt 37.285 -5.344 > lm2(mpg ~ wt, weights=cyl, data=mtcars) Error in eval(expr, envir, enclos) : ..2 used in an incorrect context, no ... to look in Can anyone explain why this is happening? (Obviously this is a manufactured example, but it

Hi Jason, > Well, one last questions about stack plot (please forgive the lame example > below). I thought the below allow me to resize the the "title" of the > stacked histogram, but no luck. Any suggestions as to the modificaiton > necessary to get it to work? Right now the title is obscured by the plot > and my boss will be none too happy. Thanks again. Yes,

Hi all, A couple of ideas for improving seq_along: * It would be really useful to have a second argument dim: seq_along(mtcars, 1) seq_along(mtcars, 2) # equivalent to seq_len(dim(mtcars)[1]) seq_len(dim(mtcars)[2]) I often find myself wanting to iterate over the rows or column of a data frame, and there isn't a particularly nice idiom if you want to avoid problems

Help for help says: The 'topic' argument may also be a function call, to ask for documentation on a corresponding method. See the section on method documentation. and The authors of formal ('S4') methods can provide documentation on specific methods, as well as overall documentation on the methods of a particular function. The

Hello Everyone, I have recently been introduced to the ggplot package by Hadley Wickham and must say I am quite impressed so far at how easy it is to make attractive plots, but one thing I am struggling over is how to consolidate legends. I have 3 plots that I would like to put on a single page and all 3 map the same dimension of the data to the colour aesthetic. Right now, when I plot all

Would this return a quosure? (i.e. a single sided formula that captures both expression and environment). That's the data structure we've adopted in tidyeval as it already has some built in support. Hadley On Friday, March 17, 2017, Michael Lawrence <lawrence.michael at gene.com> wrote: > Interesting idea. Lazy and non-standard evaluation is going to happen; the > language

I'm picking up this 5-year old thread. 1. About the four memory allocations without a stacktrace I think the four memory allocations without a stacktrace reported by Rprofmem(): > Rprofmem(); x <- raw(2000); Rprofmem("") > cat(readLines("Rprofmem.out", n=5, warn=FALSE), sep="\n") 192 :360 :360 :1064 :2040 :"raw" are due to some

Hi all, Can anyone help me understand why an implicit print (i.e. just typing df at the console), is so much slower than an explicit print (i.e. print(df)) in the example below? I see the difference in both Rstudio and in a terminal. # Construct large df as quickly as possible dummy <- 1:18e6 df <- lapply(1:10, function(x) dummy) names(df) <- letters[1:10] class(df) <-

Hi all, The help for traceback states: Errors which are caught _via_ 'try' or 'tryCatch' do not generate a traceback, so what is printed is the call sequence for the last uncaught error, and not necessarily for the last error. Is there any way to get a traceback (or something similar) for an error raised inside a try block? Regards, Hadley -- http://had.co.nz/

Dear R users, Does the results below make any sense? Can the the interval of the correlation coefficient be between *-1.0185* and -0.8265 at 95% confidence level? Liviu > library(boot) > data(mtcars) > with(mtcars, cor.test(mpg, wt, met="spearman")) Spearman's rank correlation rho data: mpg and wt S = 10292, p-value = 1.488e-11 alternative hypothesis: true rho is not

Hello, I am trying to generate a confidence interval (90 or 95%) of a regression line. This is primarily just for illustration on a scatter plot (i.e. I am trying to make this http://www.ast.cam.ac.uk/~rgm/scratch/statsbook/graphics/anima4.gif). I have been trying to use the predict.lm function, with interval set as "confidence", but this still seems to be giving me a prediction

Dear useRs, Here is a weird behavior of transform function: mtcars1<-matcars transform(mtcars1,t1=3,t2=4) Error in data.frame(`_data`, e[!matched]) : arguments imply differing number of rows: 32, 1 instead, this works: mtcars1$t1<-0 transform(mtcars1,t1=3,t2=4) also works if applied in turn: transform(mtcars1,t1=3) transform(mtcars1,t2=4) I often need to use this

I am trying to plot a graph but the points on the graph should be different symbols and colors. It should represent what is in the legend. I tried using the points command but this does not work. Is there another command in R that would allow me to use different symbols and colors for the points? Thank you kindly. data(mtcars) plot(mtcars$wt,mtcars$mpg,xlab= "Weight(lbs/1000)",

Dear UseRs called Hadley, or Paul, I am trying to print an edited ggplot2/grid graphics to a metafile. With the commented line below it works, but when I edit the plot by uncommenting the line, it fails, because it's illegal to have 2 graphics in a metafile. It works with pdf, but even then I get two plots, which is a nuisance. I found a workaround by using windows(); savePlot, but it only

I'm having some problems using variable names containing spaces (using backticks) with gam (mgcv 0.9-6, R 1.8.1). Some toy code to reproduce my problem is below. Am I doing something wrong, or should I pass this bug on to Simon Wood? (Or do I need to rename my variables to get rid of the spaces?) Thanks, Hadley library(mgcv) test <- data.frame(a = c(1:10), `a b` = c(1:10)^2,

Hi, I got an interesting programming challenge: How do you inspect an object which is assigned via delayedAssign() and that throws an error as soon as it is "touched" (=the value is evaluated)? Is it possible? MINIMAL EXAMPLE: $ R --vanilla > delayedAssign("foo", stop("Hey!")) (If you find this minimal example silly/obvious, please skip down to the real

> install.packages("rggobi", repos="http://ggobi.org/r/") Warning in install.packages("rggobi", repos = "http://ggobi.org/r/") : argument 'lib' is missing: using /Users/hadley/Library/R/library/ Reading symbols for shared libraries . done Program received signal EXC_BAD_ACCESS, Could not access memory. Reason: KERN_INVALID_ADDRESS at