similar to: Skeleton Package to Flesh Out?

Hi, Wouldn't it be awesome if package.skeleton() could be used to produce, well... a package skeleton? In a fresh R session: > package.skeleton("mypkg") Error in !have : invalid argument type This (not very informative) error message seems to occur because I'm trying to create a skeleton with no flesh on it: > foo <- function() {} >

Ugh...This should be very simple, but evidently I am not searching for the proper term. Given the below: val_size<-100000 x_vals<-rnorm(val_size) I would like to group them according to the following x_vals_mean_tmp[1]<-mean(x_vals[1:10]) x_vals_mean_tmp[2]<-mean(x_vals[11:20]) ... x_vals_mean_tmp[n]<-mean(x_vals[99991:100000]) Then, I would like to group them according to the

On 30/01/2018 11:29 AM, Brian G. Peterson wrote: > On Tue, 2018-01-30 at 17:00 +0100, Suzen, Mehmet wrote: >> Dear R developers, >> >> I am wondering what are the best practices for developing an R >> package. I am aware of Hadley Wickham's best practice >> documentation/book (http://r-pkgs.had.co.nz/).??I recall a couple of >> years ago there were some

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,

Dear R developers, I am wondering what are the best practices for developing an R package. I am aware of Hadley Wickham's best practice documentation/book (http://r-pkgs.had.co.nz/). I recall a couple of years ago there were some tools for generating a package out of a single file, such as using package.skeleton, but no auto-generated documentation. Do you know a way to generate

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,

Hi, relist() is broken when the skeleton is a list with empty list elements: > x <- list(1:3, integer(0), 11:14) > relist(unlist(x), x) [[1]] [1] 1 2 3 [[2]] [1] 11 3 [[3]] [1] 11 12 13 14 Hard to believe that such a bug has been around for 6 years (i.e. since the introduction of relist()) without ever being noticed. Cheers, H. > sessionInfo() R

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

Hello useRs, I'm trying to use the Roxygen package. Here my code file : #' A packge to check Roxygen's sanity #' @name helloRoxygen-package #' @docType package NA And my R code to generate the package : library(roxygen) package.skeleton("helloRoxygen", code_files = "roxy.r", force = T) roxygenize("helloRoxygen", "helloRoxygen",

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

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

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.

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

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)

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

Hi there, is there a way to create a NAMESPACE file based on Rd-files (or whatever is needed in order to apply the regular expression "^[[:alpha:]]+" without(!) resorting to package.skeleton() (as this kind of interferes with roxygenize() pretty often)? Thanks a lot, Janko [[alternative HTML version deleted]]

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)

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.