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TidyFriday 是受 TidyTuesday 启发建立的，但是 TidyFriday 并不打算局限于 R，本着实用主义和分享精神， TidyFriday 致力于促进一切有用的知识的传播，致力于促进成员的学习和成长，致力于解决实际问题而非虚无的讨论代码。尽管如此，TidyFriday 目前阶段将着重于使用 R，Stata 和 Python 进行数据分析、模型构建、可视化及在社科领域的应用。为了保证 TidyFriday 的高质量发展，本社群将依托
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Yesterday, I found a interesting R Package on GitHub - bubble. This package provides a REPL (交互解释器) between R and node. And its source codes are quiet simple, so I want to know if I can create a Stata REPL by imitating it. Then we have
statarepl package which provides a REPL interface between R and Stata, it’s different from RStata, which I have introduced before.
This is my notes for learning Mapping Quandl Macroeconomic Data. In this article, we are going to be working with a macroeconomic data source from the World Bank called World Development Indicators (WDI). The Quandl code for WDI is
WWDI, and thus we’ll prepend
WWDI/ to each data set call. For more details, you can refer to: https://docs.quandl.com/docs/r-time-series and http://datatopics.worldbank.org/world-development-indicators/
It’s very hard to get Chinese population at county level. So I just get this data for year 2004.
This is my note for learning Momentum Investing with R.
In practice, momentum entails a look back into the past to determine whether an asset has exceed some benchmark, and if it has, buy and hold that asset for some benchmark, and if it has, buy and hold that asset for some time into the future. That’s completely flying in the face of the efficient market hypothesis because it’s positing that the past is somehow giving us information that has not been reflected in the current price of the asset.
This is my note for learning A quick tour of GA.
Genetic algorithms(GAs) are stochastic search algorithms inspired by the basic principles of biological evolution and natural selection. GAs simulate the evolution of living organisms, where the fittest individuals dominate over the weaker ones, by mimicking the biological mechanisms of evolution, such as selection, crossover and mutation.
This is my note for learning Introduction to Fama French.
Today, we will be workding with our usual portfolio consisting of:
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