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Matrix products now consistently bypass BLAS when the inputs have NaN/Inf valuesverbose script handling during updating in the gagdet (see video below) verbose script output for updated layers and theme to parse and evaluate in console or editor colourpicker control for both single colours/fills and and palletes output for scale objects eg scale*grandient,scale*grandientn and scale*manual verbose script output for scales eg scale*grandient,scale*grandientn and scale*manual to parse and evaluate in console or editor input plot objects can have the data in the layer object and in the base objectIf you only see the option to upgrade to an older version of R, then change your mirror or try again in a few hours (it usually take around 24 hours for all CRAN mirrors to get the latest version of R)Continue reading R 3.3.3 is released! Author Tal GaliliPosted on March 7, 2017Categories RLeave a comment on R 3.3.3 is released! Data Driven Cheatsheets Guest post by Jonathan Sidi Cheatsheets are currently built and used exclusivley as a teaching toolPerformance when BLAS is used is improved for matrix/vector and vector/matrix multiplication (DGEMV is now used instead of DGEMM)C-LEVEL FACILITIES have been extendedUpgrading to R 3.3.3 on Windows If you are using Windowsyou can easily upgrade to the latest version of R using the installr packageI will also be retiring from maintenance of the Rtools collectionggedit is powered by a Shiny gadget where the user inputs a ggplot plot object or a list of ggplot objectsBuilds using different tools and scripts are available from Ill be putting my own scripts on CRAN soon in case anyone wants to duplicate them

This makes building up a vector result by assigning to the next element beyond the current length more efficient, though pre-allocating is still preferredshinyHeatmaply is based on theheatmaply R packagewhichstrives to make it easy as possible to create interactive cluster heatmapsIt will make it to CRAN and its mirrors over the next few hoursapp 13352,2528 ggedit is a package that helps users bridge the gap between making a plot and getting all of those pesky plot aesthetics just right, all while keeping everything portable for further research and collaborationIt comes with a detailed vignette, and is freely available from: Continue reading heatmaply: an R package for creating interactive cluster heatmaps for online publishing Author Tal GaliliPosted on October 30, 2017October 30, 2017Categories R, R programming, visualizationTags Alan O'Callaghan, Carson Sievert, dendextend, ggplot2, heatmaply, Jonathan Sidi, R, R package, visualization, yoni sidi2 Comments on 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 3.4.2 (codename Short Summer)was released yesterday.You can get the latest binaries version from here.(or the .tar.gzsource code from here)You can start the app using: library(shiny) library(heatmaply) # If you didn't get shinyHeatmaply yet, you can run it through github: # runGitHub("yonicd/shinyHeatmaply",subdir = 'inst/shinyapp') # or just use your locally installed package: library(shinyHeatmaply) runApp(system.file("shinyapp", package = "shinyHeatmaply")) The gadget is called from the R console and accepts input argumentsIf you only see the option to upgrade to an older version of R, then change your mirror or try again in a few hours (it usually take around 24 hours for all CRAN mirrors to get the latest version of R)The reoccuring challenge for users is to remember all the options that can be used in the theme call (there are approximately 220 unique options to calibrate at last count) or bookmark the help page for the theme and remember how you deciphered it last timeShares Magazine - November 23, 2017 English 74 pages True PDF 18.6 MB Download ( Category:Economics, Business Date:25 Nov 2017 ) I try to keep the installr package updated and useful, so if you have any suggestions or remarks on the package you are invited to open an issue in the github pageYou can see some of shinyHeatmaplys capabilities in the following 40 seconds video: Installing shinyHeatmaply FromCRAN: install.packages('shinyHeatmaply') From github: devtools::installgithub('yonicd/shinyHeatmaply') Running the app/gadget The application has an import interface as part of the application which currently supports csv, txt, tab, xls, xlsx, rd, rdaAnd plenty of the popular fiction genres too, including Romance, Crime, Thriller, Historical, Humor, Horror, sci-fi, Fantasy, and moreBrides UK - January 01, 2018 English 488 pages True PDF 117.2 MB Download ( Category:For Women Date:25 Nov 2017 ) I try to keep the installr package updated and useful, so if you have any suggestions or remarks on the package you are invited to open an issue in the github pageTo Step into the DarknessAnnin BrothersDetective MysteryTwo young men are driven by a desire to unravel the 3d39b66ab9

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