#BlogDown
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Broken Blog #JailForJason
So I had been using the premium services from WordPress to build this joint but I couldn’t pay to renew it. No audio files work here anymore and I’m not sure if anyone besides me can see new blog posts. It’s a minor inconvenience. I have backups and contingency blogs all over the place. I own the AxZilla.com domain for a few more months so I have got that going for me and I am my brand anyway so…

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#BlogDown#Contingency#HelpZilla#HitTheFreakingTipJar#JailForJason#THERSday#TheWretchedMob#August 31st 2023 A.D.
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your blog is not real life.
That's not true: every day I eat blogfood and drink blogtea and sleep on my blogwood bed, resting my blog-filled head on my blogdown pillows. This moment we now share is made of pixels, and I thank you for your virtual hug and beaming smile I've just dreamed into existence.
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🧰 Hugo/blogdown expert, @apreshill, continues w/ tricks of the trade… 🥄 "A Spoonful of Hugo: Troubleshooting Your Build" https://t.co/jfzbsSZmdy #blogdown #hugo https://t.co/VRdBOUVHjc
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Getting Started with DeclareDesign
DeclareDesign is a system for describing research designs in code and simulating them in order to understand their properties. Because DeclareDesign employs a consistent grammar of designs, you can focus on the intellectually challenging part – designing good research studies – without having to code up simulations from scratch. DeclareDesign is based on the Model-Inquiry-Data Strategy-Answer Strategy (MIDA) framework for describing designs and a declare-diagnose-redesign workflow for improving research designs before implementing them.
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Hier geht es in wenigen Stunden los.
Mit dem Lockdown in Deutschland beginnt hier der Blogdown.
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R Packages worth a look
Guided Analytics for Testing Manufacturing Parameters (igate) An implementation of the initial guided analytics for parameter testing and controlband extraction framework. Functions are available for continuous and categorical target variables as well as for generating standardized reports of the conducted analysis. See https://…/igate> for more information on the technology. Retrieve Raw R Code from Popular Tutorials and Websites (rawr) Retrieves pure R code from popular R websites, including github https://github.com>, kaggle https://www.kaggle.com>, datacamp https://www.datacamp.com>, and R blogs made using R blogdown https://…/blogdown>. Testing for Structural Breaks under Long Memory and Testing for Changes in Persistence (memochange) Test procedures and break point estimators for persistent processes that exhibit structural breaks in mean or in persistence. On the one hand the package contains the most popular approaches for testing whether a time series exhibits a break in persistence from I(0) to I(1) or vice versa, such as those of Busetti and Taylor (2004) and Leybourne, Kim, and Taylor (2007). The approach by Martins and Rodrigues (2014), which allows to detect changes from I(d1) to I(d2) with d1 and d2 being non-integers, is included as well. In case the tests reject the null of constant persistence, various breakpoint estimators are available to detect the point of the break as well as the order of integration in the two regimes. On the other hand the package contains the most popular approaches to test for a change-in-mean of a long-memory time series, which were recently reviewed by Wenger, Leschinski, and Sibbertsen (2018). These include memory robust versions of the CUSUM, sup-Wald, and Wilcoxon type tests. The tests either utilize consistent estimates of the long-run variance or a self normalization approach in their test statistics. Betken (2016) Busetti and Taylor (2004) Dehling, Rooch and Taqqu (2012) Harvey, Leybourne and Taylor (2006) Horvath and Kokoszka (1997) Hualde and Iacone (2017) Iacone, Leybourne and Taylor (2014) Leybourne, Kim, Smith, and Newbold (2003) Leybourne and Taylor (2004) Leybourne, Kim, and Taylor (2006): Martins and Rodrigues (2014) Shao (2011) Sibbertsen and Kruse (2009) Wang (2008) Wenger, Leschinski and Sibbertsen (2018) . Parametric G-Formula (gfoRmula) Implements the parametric g-formula algorithm of Robins (1986) . The g-formula can be used to estimate the causal effects of hypothetical time-varying treatment interventions on the mean or risk of an outcome from longitudinal data with time-varying confounding. This package allows: 1) binary or continuous/multi-level time-varying treatments; 2) different types of outcomes (survival or continuous/binary end of follow-up); 3) data with competing events or truncation by death and loss to follow-up and other types of censoring events; 4) different options for handling competing events in the case of survival outcomes; 5) a random measurement/visit process; 6) joint interventions on multiple treatments; and 7) general incorporation of a priori knowledge of the data structure. Expectile and Quantile Regression (expectreg) Expectile and quantile regression of models with nonlinear effects e.g. spatial, random, ridge using least asymmetric weighed squares / absolutes as well as boosting; also supplies expectiles for common distributions. http://bit.ly/304DGKa
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Want to build a website right in @RStudio? Here's a new tutorial from @mjfrigaard on blogdown. #rstats https://t.co/yeqO0VVYaj
http://twitter.com/storybench
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On the use of R-notebooks
Lately, I have been using R for all kind of tasks, from cleaning up large data files (i.e. 200 GB) to the visualization of spatial data. It is impressive how diverse the R-Language has become. Pretty much there’s a package for every single thing you can do with a computer. Without a doubt, major contributions by R-Studio software company have made R a more popular/diverse/complete programming language (yes, it is a programming language! ;-)). One of the most useful contributions I have experienced in the last couple of months is the use of R-notebooks. With the inclusion of R-markdown (markdown on steroids) the idea of R-notebooks is just great. In my opinion, almost all the required characteristics to develop fully-working-reproducible workflows are present (in some cases, moving data along with workflows (scripts) is still an issue if you want to keep things in the free/open source field, however, paying for some storage can solve it, e.g. Github for large files).
One of my favorite features is the concept of `code chunks/engines`. Since I commonly work with different tools, being able to have a section within my workflow (same script) where is possible to call a tool like `awk` (still such a useful tool) to make a bunch of neat text processing and then call R-functions in another chunk to plot something, then incorporate some python code for doing some special processing is just as simple as that. These days, pretty much every new project I start is through the use of an r-notebook, just starting typing about ideas, questions, data analysis, plots, etc. Then, it can evolve into a shiny application, a bookdown or a blogdown.
Cheers!
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Functional programming in Python using Coconut
Setup on Windows (Bash on Windows)
sudo add-apt-repository ppa:jonathonf/python-3.6 sudo apt-get update sudo apt-get install python3.6
Install pip
sudo add-apt-repository ppa:jonathonf/python-3.6 # (only for 16.04 LTS) sudo apt update sudo apt install python3.6 sudo apt install python3.6-dev sudo apt install python3.6-venv wget https://bootstrap.pypa.io/get-pip.py sudo python3.6 get-pip.py sudo ln -s /usr/bin/python3.6 /usr/local/bin/python3 sudo ln -s /usr/local/bin/pip /usr/local/bin/pip3 # Do this only if you want python3 to be the default Python # instead of python2 (may be dangerous, esp. before 2020): # sudo ln -s /usr/bin/python3.6 /usr/local/bin/python
Installing and using pyenv
This article and this one has python setup.
One more place in Japanese.
Using Coconut
Coconut can be accessible from Jupyter notebook. Install coconut package, always on 3.6.
sudo coconut --jupyter sudo coconut --jupyter notebook
What is Lazy evaluation?
This article from the blogdown talks about lazy evaluation, using very much in Coconut.
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Mit dem Lockdown beginnt der Blogdown. Alle zwischen den Ministerpräsidentinnen und Ministerpräsidenten und der Bundeskanzlerin am 28. Oktober 2020 beschlossenen Maßnahmen sind hier zusammengefasst.
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Do you know that SAP ABAP has a wider career scope for youngsters in the IT sector? Explore how it can be a game-changer in your professional life in this blogDown.
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The first and foremost people look to make an informed decision is customer reviews about that particular service or product. Checkout how it could be the reputation booster for your business in this blogDown
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