Solve Interview Case Studies 10x Faster Using Dynamic Programming. Introduction The ability to solve case studies comes with regular practice.
Many a times, if you find yourself failing at thinking like a pro, perhaps, it’s just because you haven’t practiced enough. To help you become confident, I’ve written multiple case studies in last one month. You can check the recent ones here. Cluster Analysis. 1 Clustering Techniques Much of the history of cluster analysis is concerned with developing algorithms that were not too computer intensive, since early computers were not nearly as powerful as they are today.
Accordingly, computational shortcuts have traditionally been used in many cluster analysis algorithms. These algorithms have proven to be very useful, and can be found in most computer software. More recently, many of these older methods have been revisited and updated to reflect the fact that certain computations that once would have overwhelmed the available computers can now be performed routinely. Benchmarks and codes. Rdocumentation. R Graphical Manual. Package: EMD Version: 1.5.3 Date: 2013-04-26 Title: Empirical Mode Decomposition and Hilbert Spectral Analysis Author: Donghoh Kim and Hee-Seok Oh Maintainer: Donghoh Kim <donghoh.kim@gmail.com> Depends: R (>= 2.11), fields (>= 6.7.6), locfit (>= 1.5-8) Description: This package carries out empirical mode decomposition and Hilbert spectral analysis.
For usage of EMD, see Kim and Oh, 2009 (Kim, D and Oh, H. -S. (2009) EMD: A Package for Empirical Mode Decomposition and Hilbert Spectrum, The R Journal, 1, 40-46). License: GPL (>= 2) URL: Packaged: 2013-04-25 11:53:07 UTC; donghohkim NeedsCompilation: yes Repository: CRAN Date/Publication: 2013-04-25 14:51:45 Install log. Rstudio/webinars. Version Control with Git and SVN. Version control helps software teams manage changes to source code over time.
Version control software keeps track of every modification to the code in a special kind of database. If a mistake is made, developers can turn back the clock and compare earlier versions of the code to help fix the mistake while minimizing disruption to all team members. Version control systems have been around for a long time but continue to increase in popularity with data science workflows. The RStudio IDE has integrated support for version control.
Lavaan. Seefeld_StatsRBio. Gzip - Decompress gz file using R. Unzip a tar.gz file in R? Day1.pdf. Arules. Revolution R Open. Foreach.pdf. Ecodist. Nonlinear regression. H2O. FIAR. rCharts. Twitter. FasteR! HigheR! StrongeR! - A Guide to Speeding Up R Code for Busy People. This is an overview of tools for speeding up your R code that I wrote for the Davis R Users’ Group.
First, Ask “Why?” It’s customary to quote Donald Knuth at this point, but instead I’ll quote my twitter buddy Ted Hart to illustrate a point: I’m just going to say it.I like for loops in #Rstats, makes my code readable.All you [a-z]*ply snobs can shove it!
Storage. Ggplot2. Treemap. GoogleVis. Rpanel.