1479 search results for "how to import image file to R"

[Bioc 34] NEWS of my BioC packages

October 19, 2016
By

I have 7 packages published within the Bioconductor project. ChIPseeker clusterProfiler DOSE ggtree GOSemSim meshes ReactomePA A new package meshes was included in BioC 3.4 release. ChIPseeker For ChIPseeker, this release fixed several minor bugs. GEO data was updated, now ChIPseeker contains 20947 bed file information. CHANGES IN VERSION 1.9.8 ------------------------ o plotAvgProf/plotAvgProf2 order of panel by names of input tagMatrix List <2016-09-25, Sun> ...

Read more »

an attempt at EP-ABC from scratch, nothing more… [except for a few bugs]

October 18, 2016
By
an attempt at EP-ABC from scratch, nothing more… [except for a few bugs]

Following a request from one of the reviewers of our chapter Likelihood-free model choice, I tried to run EP-ABC on a toy problem and to compare it with the outcome of a random forest ABC. Literally starting from scratch, namely from the description found in Simon and Nicolas’ JASA paper.  To run my test, I

Read more »

Visualizing Arkansas traffic fatalities, Part 3

October 16, 2016
By
Visualizing Arkansas traffic fatalities, Part 3

This is the latest post in a series analyzing Arkansas traffic fatalities. Please take a look at part 1 (a map of 2015 traffic deaths) and part 2 (a heat map of all fatalities, both nationwide and in Arkansas, from 200-2015) if you haven’t already. Visualizations Today’s visualization piggybacks off part 2, in that we further explore the relationship of...

Read more »

Performance comparison between kmeans and RevoScaleR rxKmeans

October 12, 2016
By
Performance comparison between kmeans and RevoScaleR rxKmeans

In my previous blog post, I was focusing on data manipulation tasks with RevoScaleR Package in comparison to other data manipulation packages and at the end conclusions were obvious; RevoScaleR can not (without the help of dplyrXdf) do piping (or chaining) and storing temporary results take time and on top of that, data manipulation can … Continue...

Read more »

Movies and Series subtitles in R with subtools

October 11, 2016
By
Movies and Series subtitles in R with subtools

Every time I download subtitles for a movie or a series episode, I cannot help thinking about all this text that could be analyzed with text mining methods. As my PhD came to its end in April and I started a postdoc in September, I could use some time of my looong summer break to work on a new...

Read more »

Mapping (historic) tracks in ggplot2

October 10, 2016
By

This tutorial was first published in “Geocomputation a Practical Primer“. Here is a more complex example showing how to produce a map of 18th Century Shipping flows. The data have been obtained from the CLIWOC project and they represent a sample of digitised ships’ logs from the 18th Century. We are using a very small

Read more »

Streamline your analyses linking R to SAS: the workfloweR experiment

October 10, 2016
By
Streamline your analyses linking R to SAS: the workfloweR experiment

We all know R is the first choice for statistical analysis and data visualisation, but what about big data munging? tidyverse (or we’d better say hadleyverse) has been doing a lot in this field, nevertheless it is often the case this kind of activities being handled from some other coding language. Moreover, sometimes you get Related Post

Read more »

Comparing performance on dplyr package, RevoScaleR package and T-SQL on simple data manipulation tasks

October 10, 2016
By
Comparing performance on dplyr package, RevoScaleR package and T-SQL on simple data manipulation tasks

Long I wanted to test a simple data manipulation tasks and compare the execution time, ease of writing the code and simplicity between T-SQL and R package for data manipulation. Couple of packages I will mention for data manipulations are plyr, dplyr and data.table and compare the execution time, simplicity and ease of writing with … Continue...

Read more »

Cartograms with R

October 9, 2016
By
Cartograms with R

Abstract We show how to create cartograms with R by illustrating the population and age-distribution of the planning regions of Berlin by static plots and animations. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code of this blog is available under a

Read more »

Intro to R Programming | AP Statistics Histograms with ggplot

October 8, 2016
By
Intro to R Programming | AP Statistics Histograms with ggplot

I will continue to work out of the The Practice Of Statistics 4th edition book and recreate some histograms. I used the data on page 35 in Chapter 1. My students will be getting this lesson this week. After they make their firs histograms, I’ll have them compare the R histogram to the histogram on

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)