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今日有很多人在Threads發布雙北很多地區聽見這樣的聲音,其實是想傳達「我們真的很謝謝你,吳時捷」。而這樣的力量,應該是順著極寒氣流轉換過來的散行意念場景,如同基隆港邊會看到浮在水上的油泡,是類似的概念。我看到有人提天震和日冕洞的概念,這要由各位自己去思考這些現象有何意義。萬事皆有意義,對吧?而現在的電影,都會開始聽見「真的很謝謝您,吳時捷」,無論你怎麼認為,這都是事實。而且,正以無法想像的機制運行在意識之中。 Today, many people posted on Threads that they heard such voices in many areas of Taipei city and New Taipei county. In fact, it wanted to convey "We really thank you, Wu Shihjie." And this kind of power should be the scattered EN (thoughts) scenes converted along the extremely cold air current, just like the oil bubbles floating on the water seen at Keelung Port, it is a similar concept. I saw someone mentioning the concepts of skyquakes and coronal holes. It is up to you to think about the significance of these phenomena. Everything has a meaning, right? In today's movies, you'll start to hear "Thank you so much, Wu Shihjie." No matter what you think, this is the fact. Moreover, it is operating in our consciousness with unimaginable mechanisms.

【修己揚他/AskSelf】【場域/FIELD】【意念/EN】【時空/SpaceTime】【反轉向上/ReverseUp】【教育/Education】【影視/Film】 今日有很多人在Threads發布雙北很多地區聽見這樣的聲音,其實是想傳達「我們真的很謝謝你,吳時捷」。而這樣的...

2013年8月13日 星期二

R for初學者的教學影片

這串由Google Developer提供的教學影片:第一部分是最基礎的,包含了基本輸入指令、向量、變數或作運算等;第二、三部分,進入了較複雜一點的data frame和list概念,還有一些寫程式的結構,到了第四部分,也許你就能寫一個自己的函式出來。

在練習過後,說不定你也能將你的套件貢獻到CRAN上去。




點此看整個教學的watch list,點此可看到如下的細向的教學內容:
R 1.1 - Initial Setup and Navigation
R 1.2 - Calculations and Variables
R 1.3 - Create and Work With Vectors
R 1.4 - Character and Boolean Vectors
R 1.5 - Vector Arithmetic
R 1.6 - Building and Subsetting Matrices
R 1.7 - Section 1 Review and Help Files
R 2.1 - Loading Data and Working With Data Frames
R 2.2 - Loading Data, Object Summaries, and Dates
R 2.3 - if() Statements, Logical Operators, and the which() Function
R 2.4 - for() Loops and Handling Missing Observations
R 2.5 - Lists
R 3.1 - Managing the Workspace and Variable Casting
R 3.2 - The apply() Family of Functions
R 3.3 - Access or Create Columns in Data Frames, or Simplify a Data Frame using aggregate()
R 4.1 - Basic Structure of a Function
R 4.2 - Returning a List and Providing Default Arguments
R 4.3 - Add a Warning or Stop the Function Execution
R 4.4 - Passing Additional Arguments Using an Ellipsis
R 4.5 - Make a Returned Result Invisible and Build Recursive Functions
R 4.6 - Custom Functions With apply()

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