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I created a series for people coming from SPSS to R .
Cleaning up and combining data, a dataset for practice I created an open dataset for the explicit practice of data munging. time 5 minutes Adding logging to a shiny app with loggit This is a very short post with example codeOver time when you move your shiny app from your computer to a server, youwant to add some logging. Generally logging is defined in levels : INFO (everything you want to print),WARNING (it does not stop the application, but it could be a problem), andERROR (fatal things). time 1 min Setting up a version controlled shiny-server Push your changes to a bare-repo on the server, and the server will deploy that to the shiny-server folder. time 5 minutes Moving parts of a country over a map Moving parts of countries, moving a part of a shapefile (direct to gif). time 1 min add abbreviations to your rmarkdown doc Today a small tip for when you write rmarkdown documents. Add a chunk on top with abbreviations. time 1 min Adding bananas from the commandline (extending the oomsifier) Add bananas from the commandline! time 1 min If blogging was like academia, we would all be saved, thank you for your edits. A month ago I posted a short piece inspired by a post by Maële SalmonShe actually reached out to me in 10 minutes, telling me I made a weird spellingerror (no excuses, I really make those a lot). Then a day or two later Jon Spring walked through the code and realized that I switched two outcomes in the code. time 1 min Downloading files from a webserver, and failing. Recently I wanted to download all the transcripts of a podcast (600+ episodes). The transcripts are simple txt files so in a wayI am not even ‘web’-scraping but just reading in 600 or so text files which is not really a big deal. I thought. time 7 minutes Building the oomsifyer Finally a solution to the life long problem of how do I add dancing banana gifs to my pictures. time 1 min Where to live in the Netherlands based on temperature XKCD style After USA, Spain, France the summer and winter weather in the Netherlands was plotted. time 6 minutes UseR Brussels 2017 UseR-2017 was awesome, join the R-eoke group time 1 min Turning kindle notes into a tidy data Turning kindle highlights into tidy data frames, why? Because EVERYTHING will be done with R in the future! time 15 minutes Writing manuscripts in Rstudio, easy citations Combine the power of rmarkdown, citr, zotero and pandoc time 8 minutes Generate text using Markov Chains (sort of) Create sentences using random words from a corpus time 8 minutes Plotting a map with ggplot2, color by tile plot a map of a country and color by other data. time 14 minutes Submitting your first package to CRAN, my experience What is it like to submit a package to CRAN? What practices did I follow time 10 minutes Introducing Badgecreatr, a package that places badges in your readme Introducing Badgecreatr, a package to create and place badges in your readme.Rmd file on Github. time 1 min Non-standard-evaluation and standard evaluation in dplyr using dplyr inside functions with lazyeval time 1 min Your most valuable collaborator, future-you future-you loves readme, tests and version control, saving time in the long run. time 16 minutes From spss to R, part 4 combining dplyr and ggplot2 advanced ggplot features. time 14 minutes Creating a package for your data set Turning your dataset into a package is very useful for reproducable research. This tutorial is for you, even if you’ve never created a package in r. time 6 minutes From spss to R, part 3 Getting started with ggplot2 time 7 minutes Version control with Git introduction to version control, and simple rstudio git time 12 minutes Tidying your data Reshaping your wide data to long with the tidyr package time 5 minutes From spss to R, part 2 Torturing your spss data untill it gives in time 11 minutes From spss to R, part 1 Just enough information about r and reading in .sav files time 8 minutes Portioning projects Make small modules that do one thing and increment time 5 minutes