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A Random Walk down My Street | Random Thoughts… For all topics

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A Random Walk down My Street | Random Thoughts… For all topics | jamesshieh.wordpress.com Reviews
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Random Thoughts... For all topics
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1 mdash;
2 programming
3 leave a comment
4 apply
5 sapply
6 lapply
7 tapply
8 aggregate
9 cut2 dataframe$column g=numberofgroups
10 sample
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A Random Walk down My Street | Random Thoughts… For all topics | jamesshieh.wordpress.com Reviews

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Data Analysis and R, A (continuously updating) Personal Reference | A Random Walk down My Street

https://jamesshieh.wordpress.com/2013/03/19/data-analysis-and-r-a-continuously-updating-personal-reference

A Random Walk down My Street. Random Thoughts… For all topics. March 19, 2013. Data Analysis and R, A (continuously updating) Personal Reference. Sapply(dataframe$col, FUN = sum/mean/etc). Sapply: Applies a function to the column and returns a vector with the results. Lapply(dataframe$col, FUN = sum/mean/etc). Lapply: Applies a function to the column and returns a list with the results. Tapply(dataframe$col1, dataframe$col2, FUN = sum/mean/etc). Cut a continuous variable into a factor with g groups.

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August | 2012 | A Random Walk down My Street

https://jamesshieh.wordpress.com/2012/08

A Random Walk down My Street. Random Thoughts… For all topics. Monthly Archives: August 2012. The Cautions of Leadership and IPOs. August 21, 2012. In its simplest form, prospect theory, originally pioneered by Kahneman and Tversky, explains why people make decisions to minimize loss rather than to achieve the highest expected value. In a classic example consider two problems:. You are given $1000 and asked to pick one of two gambles:. A) 50% chance of winning $1000. B) $500 for sure. August 7, 2012.

3

Combining Ideas for Project Euler 3 | A Random Walk down My Street

https://jamesshieh.wordpress.com/2012/11/02/combining-ideas-for-project-euler-3

A Random Walk down My Street. Random Thoughts… For all topics. November 2, 2012. Combining Ideas for Project Euler 3. I = 2 n = N while i n # Start with worst-case while n % i = 0 # Take out the same factors n = n / i # Reduce iterating range largest prime factor = i # The largest factor i = 1 return largest prime factor. My code runs very well for numbers that have a large number of factors but gets worse as N has larger prime factors. The worst case for my algorithm is if N is prime. Worst case for Sit...

4

The Shortest Path Problem | A Random Walk down My Street

https://jamesshieh.wordpress.com/2012/10/21/the-shortest-path-problem

A Random Walk down My Street. Random Thoughts… For all topics. October 21, 2012. The Shortest Path Problem. Often people shouldn’t reinvent the wheel, however in my learning at Hacker School I feel that for certain areas it is likely important to try and think up a solution for a well known (and most likely solved) problem and see what you come up with. Next post →. Data Analysis and R, A (continuously updating) Personal Reference. Data Munging and R, A (continuously updating) Personal Reference. Notify ...

5

A Random Walk down My Street | Random Thoughts… For all topics | Page 2

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A Random Walk down My Street. Random Thoughts… For all topics. 7 Databases in 7 Days PostgreSQL. October 5, 2012. Getting started with this book isn’t quite easy for someone who hasn’t worked too much in setting up a machine in these databases. I’m going to log my steps so that in the future people (or myself) can quickly reference my steps and see what worked for me! Using Ubuntu 12.04. Sudo apt-get install postgresql-client sudo apt-get install postgresql-contrib. The Cautions of Leadership and IPOs.

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A Random Walk down My Street | Random Thoughts… For all topics

A Random Walk down My Street. Random Thoughts… For all topics. Data Analysis and R, A (continuously updating) Personal Reference. March 19, 2013. Sapply(dataframe$col, FUN = sum/mean/etc). Sapply: Applies a function to the column and returns a vector with the results. Lapply(dataframe$col, FUN = sum/mean/etc). Lapply: Applies a function to the column and returns a list with the results. Tapply(dataframe$col1, dataframe$col2, FUN = sum/mean/etc). Cut a continuous variable into a factor with g groups.

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