R-statistics blog
Time 2021-10-31 22:10:35Web Name: R-statistics blog
WebSite: http://www.r-statistics.com
ID:217894
Keywords:
statistics,blog,r,statistics,rstatistics,sql,statisticalprogramming,rprogrammingDescription:
keywords:r,statistics,r statistics,sql,statistical programming,r programming,statistical modeling,scientific programming,statistics using excel,sql queries,database setup,database organization,multivariate analysis,excel programming,splus help,s plus programming,database analyst,access analyst,visual basic help,analysis of database,database programming services,database consultant,visual basic database consulant,access database programmer,database programmer,database developer,sql database programmer,c programming r,logistic regression model building,analyzing survey data,analyzing biomedical data,biomedical data mining,biomedical data analysis,object oriented programming,snp data analysis,bioinformatics,biostatistics,bioinformation,visualization description:A blog on statistics and R Skip to contentStatistics with R, and open source stuff (software, data, community)
Im excited to announce that heatmaply version 1.0.0 has been published to CRAN! (getting started vignette is available here)
What is heatmaply?heatmaply is an R package for easily creating interactive cluster heatmaps that can be shared online as a stand-alone HTML file. Interactivity includes a tooltip display of values when hovering over cells, as well as the ability to zoom in to specific sections of the figure from the data matrix, the side dendrograms, or annotated labels.The package aims to be compatible with gplots::heatmap.2 so you could take code written for it and just change the heatmap.2 command to be heatmaply, and get the interactive version of the plot (although with slightly different, improved, defaults for colors and dendrogram ordering). Thanks to the synergistic relationship between heatmaply and other R packages, the user is empowered by a refined control over the statistical and visual aspects of the heatmap layout.What makes heatmaply great?The change from version 0.16.0 to version 1.0.0 is to indicate the maturity of the package. It is to reflect the following facts:Continue reading heatmaply 1.0.0 beautiful interactive cluster heatmaps in R
I have attended the useR! conferences every year now for the past 9 years, and loved it! However, this year Im saddened that I wont be able to go. This is because this year the conference will be held in Australia, and going there would require me to be away from home for at least 8 days (my heart goes to the people of Australia who had a hard time coming to useR all these years). Ordinarily I would do it, but given that my wife and I have a sweet 8 months year old baby (called Maya), Im very reluctant to be away from home for that long.
The eRum 2018 conferenceFortunately for me, and for many other R users out there, we have a backup plan called eRum (a.k.a: The European R Users Meeting). It is an international conference, similar to useR!, that occurs every two years (specifically, in the years in which useR is taking place outside of Europe), and organized by Gergely Daroczi and others.
About the plan for this year:
Time and location: the conference will take place on May 14-16, 2018 @ Budapest, HungaryCrowd size: The expectation is for ~500 R users from mostly Europe (you can see a visual breakdown of peoples country of origin here)Content: The program has 5 keynote speakers, 12 invited speakers, 7 tracks of workshops and 2 tracks for contributed talks (picked after sifting over 150 abstracts). Knowing some of the people in the program, I can vouch for the high quality of the program.The registration closes this Sunday, so hurry up and register! (the price is relatively cheap, starting from 80 Euro for students, and up to 275 Euro for industry).If you get to see me around, feel free to come and say Hi
TAGS:statistics blog r statistics rstatistics sql statisticalprogramming rprogramming
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