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r-statistics.com

Page title	R statistics blog Statistics with R and open source stuff software data community
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, database 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, statistical programming, snp data analysis, bioinformatics, biostatistics, bioinformation, visualization
h1 tags	R-statistics blog
h2 tags	heatmaply 1.0.0 – beautiful interactive cluster heatmaps in R What is heatmaply? What makes heatmaply great? Registration for eRum 2018 closes in two days! R 3.5.0 is released! (major release with many new features) R 3.4.3 is released (a bug-fix release) heatmaply: an R package for creating interactive cluster heatmaps for online publishing R 3.4.2 is released (with several bug fixes and a few performance improvements) R 3.4.1 is released – with some Windows related bug-fixes R 3.4.0 is released – with new speed upgrades and bug-fixes shinyHeatmaply – a shiny app for creating interactive cluster heatmaps R 3.3.3 is released! Posts navigation e-mail subscription Recent Posts Archives Categories Tags Recent Comments R-bloggers
h3 tags	Why I’m going to eRum this year instead of useR! The eRum 2018 conference Upgrading R on Windows and Mac Upgrading to R 3.4.3 on Windows Thank you Duncan Murdoch ! Upgrading to R 3.4.2 on Windows Upgrading to R 3.4.1 on Windows Upgrading to R 3.4.0 on Windows Installing shinyHeatmaply Running the app/gadget Upgrading to R 3.3.3 on Windows
Local links	179
Outbound links	108

Page size	114.39 kb
URL	https://www.r-statistics.com/
Content Type	text/html; charset=UTF-8
http code	200
header size	2140 bytes
total redirects	3
time to download	1.155016 seconds
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establish connection	0.208085 seconds
pretransfer time	0.263818 seconds
bytes downloaded	117137
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redirect time	0.284381 seconds

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IP	172.67.194.16

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