937 search results for "how to import image file to R"

R Object-oriented Programming – Book Review

November 28, 2014
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R Object-oriented Programming – Book Review

(This article was first published on R Video tutorial for Spatial Statistics, and kindly contributed to R-bloggers) I have been asked to review the book “R Object-oriented Programming” by Kelly Black, edited by Packt publishing (£14.45 for the E-Book, £27.99 for Print+E-Book).The scope of the book is “to provide a resource for programming using the R language” and therefore...

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Rcpp now used by 300 CRAN packages

November 25, 2014
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Rcpp now used by 300 CRAN packages

This morning, Rcpp reached another round milestone: 300 packages on CRAN now depend on it (as measured by Depends, Imports and LinkingTo declarations). The graph is on the left depicts the growth of Rcpp usage over time. There are 41 more on BioCond...

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Interpreting regression coefficient in R

November 23, 2014
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Interpreting regression coefficient in R

Linear models are a very simple statistical techniques and is often (if not always) a useful start for more complex analysis. It is however not so straightforward to understand what the regression coefficient means even in the most simple case when there are no interactions in the model. If we are not only fishing for

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proper use of GOSemSim

November 22, 2014
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proper use of GOSemSim

One day, I am looking for R packages that can analyze PPI and after searching, I found the ppiPre package in CRAN. The function of this package is not impressive, and I already knew some related works, including http://intscore.molgen.mpg.de/. The authors of this webserver contacted me for the usages of GOSemSim when they developing it. Read more »

The ensurer package (validation inside pipes)

November 19, 2014
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The ensurer package (validation inside pipes)

Guest post by Stefan Holst Milton Bache on the ensurer package. If you use R in a production environment, you have most likely experienced that some circumstances change in ways that will make your R scripts run into trouble. Many things can go wrong; package updates, external data sources, daylight savings time, etc. There is a general

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rmarkdown: Alter Action Depending on Document

November 18, 2014
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rmarkdown: Alter Action Depending on Document

Can I see a show of hands for those who love rmarkdown? Yeah me too. One nifty feature is the ability to specify various document prettifications in the YAML of a .Rmd document and then use: The Problem Have you … Continue reading →

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A look at the igraph package

November 13, 2014
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A look at the igraph package

by Joseph Rickert The igraph package has become a fundamental tool for the study of graphs and their properties, the manipulation and visualization of graphs and the statistical analysis of networks. To get an idea of just how firmly igraph has become embedded into the R package ecosystem consider that currently igraph lists 72 reverse depends, 59 reverse imports...

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Announcing the Publication of R Machine Learning Essentials

November 10, 2014
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Announcing the Publication of R Machine Learning Essentials

R machine learning essentials will be published soon. T

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Visualising stranded RNA-seq data with Gviz/Bioconductor

November 6, 2014
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Visualising stranded RNA-seq data with Gviz/Bioconductor

Gviz is a really great package for visualising genomics data in R. Recently I have been looking at stranded RNA-seq data, which provides the ability to differentiate sense and antisense expression from a genomic locus thanks to the way in … Continue reading →

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High performance JSON streaming in R: Part 1

November 5, 2014
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High performance JSON streaming in R: Part 1

The jsonlite stream_in and stream_out functions implement line-by-line processing of JSON data over a connection, such as a socket, url, file or pipe. Thereby we can construct a data processing pipeline that can handle large (or unlimited) amounts of data with limited memory. This post will walk through some examples...

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