Yesterday I tried to insert some more R code into knime. scatterplot smoothed density library("geneplotter") ## from BioConductor require("RColorBrewer") ## from CRAN x1 <- matrix(rnorm(1e4), ncol=2) x2 <- matrix(rnorm(1e4, mean=3, sd=1.5...

Yesterday I tried to insert some more R code into knime. scatterplot smoothed density library("geneplotter") ## from BioConductor require("RColorBrewer") ## from CRAN x1 <- matrix(rnorm(1e4), ncol=2) x2 <- matrix(rnorm(1e4, mean=3, sd=1.5...

So today I’m going to follow another R-course which is supposed to tell me more about Flowcytometry in R. I’ll keep you up to date

The version 0.22 of solaR includes a new method, mergesolaR. It is designed to merge daily time series of several solaR objects. For example, we can obtain the daily irradiation of the whole set of meteorological stations of Madrid (Spain) and use this information to calculate the productivity of a grid connected PV system. It

Recently I wrote a couple of small functions as a result of work done by myself and others in my lab group. The first is a function that determines what sites in a sequence alignment are ambiguous (i.e. not A, G, C or T). require(ape)data(woodmouse)is.ambig x bases ambig ambig > 0}is.ambig(woodmouse)This function utilises the bit-level coding scheme that...

If you're planning to attend the worldwide R user conference useR! 2011, don't forget that April 1 (this Friday) is the deadline for submitting abstracts for contributed talks and posters. Early-bird discounts for attendee registrations expire on Friday as well. (Revolution Analytics is a proud sponsor of useR! 2011, and chief scientist Lee Edlefsen is one of the keynote...

(This post got published on The Statistics Forum yesterday.) The short book review section of the International Statistical Review sent me Raquel Prado’s and Mike West’s book, Time Series (Modeling, Computation, and Inference) to review. The current post is not about this specific book, but rather on why I am unsatisfied with the textbooks in

Over the last several days, I have had the “pleasure” of getting parallel processing with R running on the the Ohio Supercomputer Center’s (OSC) Glenn cluster. I am working on a project that uses GenMatch from Sekhon’s Matching, which uses … Continue reading →

Today I’m checking which plot function works fastest, I did this via this blogpost. https://www.r-bloggers.com/five-ways-to-visualize-your-pairwise-comparisons/ But I’m not doing this in an Rgui, but in Knime. I read in an example ACS file, ...

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