search for: jasonkrupert

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

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,

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

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.

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.

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.

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 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

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)

My data set has a mixed level of measurement: Nominal scale - location (city) Ordinal scale - temperature (low, medium, high) Interval scale - age & value Just curious if there is an R package available that will handle the mixed "Level of Measurement". Looking to do graphical presentation of the correlation and also a qualitative analysis of the correlation.  Thanks again for

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,

For example, from within an R script I would like to be able to launch NotePad.exe. Is there an R call for launching Notepad.exe from within R? I've tried the following, but they don't seem to work: > system(paste('"C:/WINDOWS/NOTEPAD.exe"'), wait = FALSE) > system("C:/WINDOWS/NOTEPAD.exe", wait = FALSE) > system("NOTEPAD", wait = FALSE)

By any chance is anyone aware of any R Packages that contain or expand the aerodynamic capabilities mentioned on the following website? http://www.aoe.vt.edu/~mason/Mason_f/MRsoft.html Typically I know R packages have focused on extending the statistical and graphing capability within R, so I was just curious if there might be a package that contains some aerodynamics. If by chance 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

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)

...encountered when I run "R CMD check signal". Thank you for any insights that are provided as the R signal package is nice and it would be good to have it working again with R 2.9.x and beyond. Thank you again for the help. >From the 00check.log * using log directory '/Users/jasonkrupert/Documents/RStuff/Rsignal/r-signal/signal.Rcheck' * using R version 2.9.2 (2009-08-24) * using session charset: UTF-8 * checking for file 'signal/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'signal' version '0.6' * checking package dependen...

By any chance is any one aware of a website, book, paper, etc. or combinations of those sources that show plots of different distributions? After reading a pretty good whitepaper I became aware of the benefit of I the benefit of doing Q-Q plots and histograms to help assess a distribution.   The whitepaper is called: "Univariate Analysis and Normality Test Using SAS, Stata, and SPSS*" ,

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,

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")

I think I am using the improved version of setdiff(...) that handles data.frames, so I think some odd behavior was expected but this one is escaping me. It appears that the the addition of duplicate entries is not caught by the setdiff(...). Is this expected behavior? If so, is there another method or approach that should be used to identify duplicate row entries between two different data