Re: [R] Tools to modify highlighted areas in pdf documents?
To: Leo Mada via R-help Cc: Leo Mada Subject: Re: [R] Tools to modify highlighted areas in pdf documents? � Sat, 1 Jun 2024 16:16:23 + Leo Mada via R-help �: > When highlighting pdf-documents with Microsoft Edge, the bounding box > is sometimes misplaced, and quite ugly so. It also
Re: [R] R code for overlapping variables -- count
Correcting a small glitch - see new code. From: Leo Mada Sent: Sunday, June 2, 2024 8:34 PM To: Shadee Ashtari Cc: r-help@r-project.org Subject: [R] R code for overlapping variables -- count Dear Shadee, If you have a data.frame with the following columns: n
[R] R code for overlapping variables -- count
Dear Shadee, If you have a data.frame with the following columns: n = 100; # population size x = data.frame( Sex = sample(c("M","F"), n, T), Country = sample(c("AA", "BB", "US"), n, T), Income = as.factor(sample(1:3, n, T)) ) # Dummy variable ONE = rep(1, nrow(x)) r =
Re: [R] Tools to modify highlighted areas in pdf documents?
ot;modify pdf documents in R" brought up the staplr package. A quick web search with the same query brought up the pdftools package. These were cursory efforts, so you may well find more. You will have to determine whether and to what degree any meet your needs. -- Bert On Sat, Jun 1, 2024 a
[R] Tools to modify highlighted areas in pdf documents?
Dear R-Users, Are there any packages that enable the modifications of highlighted areas / annotations in pdf documents? It seems feasible - I have explored some R code (see below). However, I would rather avoid to reinvent the wheel. The problem: When highlighting pdf-documents with Microsoft
Re: [R] Clustering Functions used by Reverse-Dependencies
f code. On the other hand, the help page for codetools::checkUsage is quite cryptic. But it's good to know at least where to look. Sincerely, Leonard From: Ivan Krylov Sent: Wednesday, February 28, 2024 10:36 AM To: Leo Mada via R-help Cc: Leo Mada Subject
[R] Clustering Functions used by Reverse-Dependencies
Dear R Users, Are there any tools to extract the function names called by reverse-dependencies? I would like to group these functions using clustering methods based on the co-occurrence in the reverse-dependencies. Utility: It may be possible to split complex packages into modules with fewer
[R] Optimal use of optim?
Dear R-Users, I am interested in the optimal strategy for optim: Q: How to formulate the optimization problem? Q1: Are there benefits for abs(f(x)) vs (f(x))^2? Q2: Are there any limitations for using abs(...)? Regarding point 1: my feeling is that the gradients should be more robust with the
Re: [R] Skip jumps in curve
. Sincerely, Leonard From: Duncan Murdoch Sent: Tuesday, February 13, 2024 6:05 PM To: Leo Mada ; r-help@r-project.org Subject: Re: [R] Skip jumps in curve On 13/02/2024 10:29 a.m., Leo Mada via R-help wrote: > Dear R-Users, > > Is there a way to skip ove
[R] Skip jumps in curve
Dear R-Users, Is there a way to skip over without plotting the jumps/discontinuities in curve()? I have not seen such an option, but maybe I am missing something. plot.gamma = function(xlim = c(-6, -1), ylim = c(-1,3), hline = NULL, n = 1000) { curve(gamma(x), from = xlim[1], to = xlim[2],
Re: [R] Basic astronomy package recommendation wanted.
Dear Richard, I wrote s small shiny app to improve the search for CRAN-packages. It can be installed from GitHub: https://github.com/discoleo/PackageBrowser Searching for "(?
Re: [R] Use of geometric mean for geochemical concentrations
Dear Rich, It depends how the data is generated. Although I am not an expert in ecology, I can explain it based on a biomedical example. Certain variables are generated geometrically (exponentially), e.g. MIC or Titer. MIC = Minimum Inhibitory Concentration for bacterial resistance Titer =
[R] Fit NLE - was: computer algebra in R
Fit NLE - was: [R] computer algebra in R Original post: https://stat.ethz.ch/pipermail/r-help/2023-November/478619.html Dear Kornad, I think I have started to understand what you try to achieve. The problem is to fit a NLE and compute the parameters of the NL-Eq. I have included the R
[R] computer algebra in R
Dear Konrad, I presume that the system can be written as follows, where h0, d0, ga0, kga and kd are given: err1 = h + hd + hga - h0; err2 = d + hd - d0; err3 = ga + hga - ga0; err4 = hga - kga*h*ga; err5 = hd - kd*h*d; All error terms should be zero. Do you need (a) the symbolic solution or
