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Applying a function to every row of a table using dplyr?

... alexwhanalexwhan 13.8k55 gold badges4545 silver badges6464 bronze badges ...
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How does zip(*[iter(s)]*n) work in Python?

...and it pulls an item from the iterator each time. x = iter([1,2,3,4,5,6,7,8,9]) print zip(x, x, x) share | improve this answer | follow | ...
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Determine the data types of a data frame's columns

...r(my.data) 'data.frame': 5 obs. of 4 variables: $ y : num 1.03 1.599 -0.818 0.872 -2.682 $ x1: int 1 2 3 4 5 $ x2: logi TRUE TRUE FALSE FALSE FALSE $ X3: Factor w/ 5 levels "a","b","c","d",..: 1 2 3 4 5 @Gavin Simpson's approach is also streamlined, but provides slightly different information...
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Rank function in MySQL

...erson VALUES (5, 'Nick', 22, 'M'); INSERT INTO person VALUES (6, 'Kathy', 18, 'F'); INSERT INTO person VALUES (7, 'Steve', 36, 'M'); INSERT INTO person VALUES (8, 'Anne', 25, 'F'); Result: +------------+------+--------+------+ | first_name | age | gender | rank | +------------+------+--------+--...
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Regular expression to match numbers with or without commas and decimals in text

...ure the whole thing wasn't blank. Tested here: http://rextester.com/YPG96786 This will allow things like: 100,000 999.999 90.0009 1,000,023.999 0.111 .111 0 It will block things like: 1,1,1.111 000,001.111 999. 0. 111.110000 1.1.1.111 9.909,888 There are several ways to make this regex simpler an...
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Bootstrap 3 offset on right not left

... Ross AllenRoss Allen 39k1111 gold badges8888 silver badges8787 bronze badges 2 ...
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Flatten an Array of Arrays in Swift

... 448 Swift >= 3.0 reduce: let numbers = [[1,2,3],[4],[5,6,7,8,9]] let reduced = numbers.reduce([...
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How to work around the stricter Java 8 Javadoc when using Maven

You'll quickly realize that JDK8 is a lot more strict (by default) when it comes to Javadoc. ( link - see last bullet point) ...
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Shuffle two list at once with same order

...an? – ᔕᖺᘎᕊ Apr 2 '15 at 16:18 2 @ᔕᖺᘎᕊ, It means unpack the values of c so it is c...
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How to drop columns by name in a data frame

... 389 You should use either indexing or the subset function. For example : R> df <- data.frame...