摘要： 不久前 Google 發表的 Google Scholar（學術搜尋），方便查找論文。科學家、工程師或其他對數據有需求的人，這次也可以透過專門的搜尋引擎，更有效率找到關鍵資料。過去資訊散佈不同存放區，搜尋上有難度，如今 Google 建立起資料集搜尋引擎，雖然該應用程師仍在測試階段，但據 Google Dataset Search 的簡介表示，希望透過建立資料系統，鼓勵更多人使用科學家研究的心血發揮更大的影響力。
摘要：
In this post we’re going to work with time series data, and write R functions to aggregate hourly and daily time series in monthly time series to catch a glimpse of their underlying patterns. For this analysis we’re going to use public meteorological data recorded by the government of the Argentinian province of San Luis. Data about rainfalls, temperature, humidity and in some cases winds, is published in the REM website (Red de Estaciones Meteorológicas, http://www.clima.edu.ar/). Also, here you can download meteorological data (in .csv format) that has been recorded by weather stations around different places from San Luis.
摘要：
The visualization shows a Bayesian two-sample t test, for simplicity the variance is assumed to be known. It illustrates both Bayesian estimation via the posterior distribution for the effect, and Bayesian hypothesis testing via Bayes factor. The frequentist p-value is also shown. The null hypothesis, H0 is that the effect δ = 0, and the alternative H1: δ ≠ 0, just like a two-tailed t test. You can use the sliders to vary the observed effect (Cohen's d), sample size (n per group) and the prior on δ.
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