similar to: Grouping Numbers

At one point I believe I heard of an R package that would automatically find the most empty space in a plot, and then that answer could then be used to intelligently place a legend. I would like to try to apply that R package to the contrived example shown below, so thank you for any hints or tips that can be provided. x = seq(0, 1000, by = 1) y1_vals<-rnorm(1000, mean = 0, sd = 50)

The result of the code shown below is posted at the following URL: http://n2.nabble.com/Trying-to-properly-label-abline-td2524629.html I would like to figure out a better way to label the horizontal abline. I tried multiplying the text y position by a scale, but this didn't always put the text in a useful position. I guess I am curious if there is a preferred procedure for labeling the

By any chance is there a skeleton package to use as a template to develop an R package? I downloaded "Writing R Extensions", which was evidently updated pretty recently, but I did not see any references (and of course I may have totally missed it) to a package template to use as a go by. Does such a skeleton package exist? Thanks again for all your help, as I've got the code,

How can I add an overall plot title to these four plots? I would like to have something that says, "Distribution Comparisons": par(mfrow = c(2, 2)) # Plot 1 plot(rnorm(10),type="l",col="red") title(main = list(paste("Normal"), ????????????????????????? col="black", cex = 1.0)) # Plot 2 plot(rpois(10,

Is there a place that shows how to create two plots that are stacked on top of each other where they share a common x-axis scale, but have differnt y-axis scale? Say have the following data: airquality Stack plot(airquality$Day, airquality$Wind) on top of plot(airquality$Day, airquality$Temp). I am interested in stacking the two on top of each other with no seam, or plotting the two lines with

Are there any tricks associated with file.info? I just tried it on a directory folder and it returned NA for all fields for all files. I tried it on a different folder with different files and it still returned NA. I tried it on a specific file and it returned all the proper info correctly. Just wondering if there are any tricks I've overlooked.

Not sure if there is an R way to do this or a regular express way, but here is what I am trying to do. I've got lots of data where the format is HH:MM:SS, but I need to format it like HH:MM:00, i.e. round the second down to zero. What is the best way to do this? Thanks again. Jason

My question is based on an example provided in the following: Referencing: Statistics with R Vincent Zoonekynd <zoonek at math.jussieu.fr> 6th January 2007 URL: http://zoonek2.free.fr/UNIX/48_R/all.html data(HairEyeColor) a <- as.table( apply(HairEyeColor, c(1,2), sum) ) # Provided Example barplot(a, beside = TRUE, legend.text = attr(a, "dimnames")$Hair) # I

I've done a little snooping around the R Gallery Site (http://addictedtor.free.fr/graphiques/) and the "Statistics with R" site (http://zoonek2.free.fr/UNIX/48_R/all.html), but I can't seem to find what I'm looking for.  Here is the type of plot I would like to draw: (1) 2-D three axis plot where each axis is separated by 120-degrees (would be great if the number of axis

I've seen this asked, but never fully answered.  Is it possible to plot stacked histograms in R? I have four data sets that I would like to show combined vertically in histogram format.  Is this possible?  Thank you for any feedback you can provide. P.S. I know I can show the four sets side by side, but I want to combine them, but still uniquely identify each.   Thanks again.

Maybe there is a great website out there or white paper that discusses this but again my Google skills (or lack there of) let me down. I would like to know the best way to export several doubles from a function, where the doubles are not an array. Here is a contrived function similar to my needs: multipleoutput<-function(x) { squared<-x^2 cubed<-x^3 exponentioal<-exp(x)

Searched my R reference docs*, and the Rseek, but evidently I've overlooked this capabilty.    Is it possible to produce a 3d Barplot using R?   For example would like to have a three axis bar plot - \ x-axis = location(discrete), y-axis = data value, z-axis = frequency of value occurance (of location and value)   Would also if could also do something like what "qplot" allows,

I've got read.table to successfully read in my table of three columns. Most of the time I will have a set number of rows, but sometime that will be variable and sometimes there will be only be two variables in one row, e.g. Time Loc1 Loc2 1 22.33 44.55 2 66.77 88.99 3 222.33344.55 4 66.77 88.99 Is there any way to have read.table handle (1) a variable number of rows, and (2) sometime there

I'm new to making bubble plots with R, so I was going to try the following: https://stat.ethz.ch/pipermail/r-sig-geo/2009-August/006258.html Unfortunately, it looks like rgdal is not part of 2.14.  I'm not sure if it was the mirror I selected or something else is going on. > install.packages("rgdal") --- Please select a CRAN mirror for use in this session --- Warning

I would like to use the "row number" information returned from performing a subset command on a dataframe. For example, I would like to automatically delete some rows from a dataframe if they match a criteria. Here is my example below. data(airquality) names(airquality) subset(airquality, airquality$Month == 6) Now how do I delete the row numbers returned automatically? I

R-users it appears I am leaning on your knowledge once again.  Is there any way to add a vertical line to a histogram and qplot "stacked" plot?  Here is my current attempt:   "qplot" approach attempt: qplot(Run, data = data_dataframe, breaks = breaks, fill = Temperature, main = short_title) + scale_x_continuous("Data") + scale_y_continuous("Freq")

By any chance is anyone aware of an R package that contains a representation of the International Geomagnetic Reference Field (IGRF)? http://www.ngdc.noaa.gov/IAGA/vmod/igrf.html I've tracked down some Fortran and C code for the IGRF-10, and possibly IGRF-11, and was hoping to avoid an awkward port. Thanks again for any feedback and leads provided.

How are the lower/upper whiskers defined in the default version of boxplot {graphics}? I tried help(boxplot) and searching www.rseek.org, but I was unable to determine an absolute answer. I checked out the definition of boxplot according to Wikipedia (http://en.wikipedia.org/wiki/Box_plot), but it also had several approaches listed for how the whiskers could be determined, so I'm just

I searched the forms (i.e., R Search)?and come up with the following suggested link: ?http://cran.r-project.org/doc/FAQ/R-FAQ.html#How-can-I-create-rotated-axis-labels_003f I tried to implement what I believe was being implied by that URL and came up with the below: barplot(WorldPhones[1,], ??????? ylim=c(0, 50000), ??????? axes=FALSE, ann=FALSE, ???????

I posted the full extent of this question to Nabble, but essentially I'm having difficulty determining the route cause of the "unexpected string constant" error in the zp2ssg2.R (which I'm trying to port over from Octave). Here is my current Nabble posting: http://n2.nabble.com/Need-help-solving-the-unexpected-string-constant-error-td4077984.html Thanks for any insights and