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plyr

The split-apply-combine strategy for R. Plyr is a set of tools for a common set of problems: you need to split. Up a big data structure into homogeneous pieces, apply. A function to each piece and then combine. All the results back together. For example, you might want to:. Fit the same model to subsets of a data frame. Quickly calculate summary statistics for each group. Perform group-wise transformations like scaling or standardising. Totally consistent names, arguments and outputs. Get the released ve...

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plyr | plyr.had.co.nz Reviews

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The split-apply-combine strategy for R. Plyr is a set of tools for a common set of problems: you need to split. Up a big data structure into homogeneous pieces, apply. A function to each piece and then combine. All the results back together. For example, you might want to:. Fit the same model to subsets of a data frame. Quickly calculate summary statistics for each group. Perform group-wise transformations like scaling or standardising. Totally consistent names, arguments and outputs. Get the released ve...

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plyr | plyr.had.co.nz Reviews

https://plyr.had.co.nz

The split-apply-combine strategy for R. Plyr is a set of tools for a common set of problems: you need to split. Up a big data structure into homogeneous pieces, apply. A function to each piece and then combine. All the results back together. For example, you might want to:. Fit the same model to subsets of a data frame. Quickly calculate summary statistics for each group. Perform group-wise transformations like scaling or standardising. Totally consistent names, arguments and outputs. Get the released ve...

INTERNAL PAGES

plyr.had.co.nz

1

Plyr 1.6

http://plyr.had.co.nz/2011/06/29/plyr-1.6.html

Changes in this version. Documentation improved using new features of. Fixed namespacing issue which lead to lost labels when subsetting the results of. Automatically strips off split variables. Now correctly deals with. Thanks to bug report from Eric Goldlust). Tries harder to keep attributes, retaining the attributes from the first occurrence of each column it finds. It also now works with variables of class. And preserves the ordered status of factors. Now works with one column data frames.

2

Plyr 1.5

http://plyr.had.co.nz/2011/04/11/plyr-1.5.html

Changes in this version. Function removes splitting variables from the data frames returned by. Moved in from reshape, and rewritten. Function makes it easy to subset a data frame to only contain values matching another data frame. Inspired by http:/ stackoverflow.com/questions/4693849. Now works when passed a list of functions. Now correctly names output even when some output combinations are missing (NULL) (Thanks to bug report from Karl Ove Hufthammer). Preserves the class of many more object types.

3

Plyr 1.7

http://plyr.had.co.nz/2011/12/30/plyr-1.7.html

Changes in this version. If a column contains both factors and characters (in different inputs), the resulting column will be coerced to character. When there are more than 2 31 distinct combinations. Switches to a slower fallback strategy using strings (inspired by. That guarantees correct results. This fixes problems with. When joining across many columns. (Fixes #63). Checks input more aggressively to prevent segfaults. Fixes #43. Fix small bug in.

4

Plyr tutorial

http://plyr.had.co.nz/09-user

Download data, code, and slides. Zip, 3 meg). Exploration of US baby names. Expanded example showing how to find cluster of similar names. Introduction to housing data with Houston /li. Process of model building for large data using all cities in Texas. Fitting a neural network with many random starts and varying parameters.

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bioinformaticszen.com

Bioinformatics Zen - Data analysis using R functions as objects

http://www.bioinformaticszen.com/post/data-analysis-using-r-functions-as-objects

Data analysis using R functions as objects. Published Fri October 2 2009. The R language is useful because of the available statistical and plotting functions in the base and addon packages. Before using any function though it's usually necessary to get your input data into the format that the function expects. Performing complicated data manipulations with R's standard methods for accessing and subsetting data can however quickly lead to complex and confusing R scripts. I have a function called. With(su...

psicologiadedatos.wordpress.com

Javi | Psicología de Datos

https://psicologiadedatos.wordpress.com/author/diarioja

In God we trust; all others must bring data. Articles posted by Javi. Un mooc de Teoría de Grafos. Noviembre 25, 2014. Noviembre 25, 2014. Hoy os traemos un MOOC de la Universidad Politécnica de Valencia sobre Teoría de Grafos. Una teoría que desde al menos Fritz Heider en la primera mitad del siglo XX nos ha dado a los psicólogos buenas tarde de gloria. 8220;Las matemáticas en psicología” por César Augusto Ramírez. Noviembre 4, 2014. Cuatro razones para una psicología de datos. Octubre 30, 2014. Mendele...

sothatshowyoudoit.wordpress.com

Mike | So That's How You Do It

https://sothatshowyoudoit.wordpress.com/author/mikeparrott2008

So That's How You Do It. Updated Code for The Effect of a Cash Buffer on Returns. August 16, 2016. After some useful comments about the previous post (see comments section in that post), here is the updated R code. These are the variables to change. Number of years that money needs to last. Buffer as years of expenditure. Ret - 0.04 For testing only! Model now has constant total wealth. R - rnorm(1,muret,sdret) # Alternative way of estimating future return. If there isn't use the cash buffer. 8220; He ar...

schulte-mecklenbeck.com

Statistics | Michael Schulte-Mecklenbeck

http://www.schulte-mecklenbeck.com/category/statistics

Before R was R there was S. July 12, 2016. Before there was R. R was modeled on a language developed at AT&T Bell Labs starting in 1976 by Rick Becker and John Chambers (and, later, Alan Wilks) along with Doug Dunn, Jean McRae, and Judy Schilling. Here is a talk by Rick Becker telling the story of R. June 11, 2016. I gave the R package exams. A shot for my decision making lecture. Here is what it does:. After some fiddling and help from one of the authors (the incredible nice Achim Zeileis. In LaTeX the ...

schulte-mecklenbeck.com

Michael Schulte-Mecklenbeck | Page 2

http://www.schulte-mecklenbeck.com/page/2

Newer posts →. All that mutate() and summarise() beauty. February 12, 2015. The friendly people from RStudio recently started a webinar series. With talks on the following topics (among others):. Data wrangling with R and RStudio. The Grammar and Graphics of Data Science (both dplyr happiness). 8230; and many more. Our friend Dr. Nathaniel D. Philipps. Also started a cool R course. With videos, shiny apps and many other new goodies. Moving an idea into business. February 7, 2015. September 25, 2014.

computerworld.com

Best R packages for data import, data wrangling & data visualization

http://www.computerworld.com/article/2921176/business-intelligence/great-r-packages-for-data-import-wrangling-visualization.html

4 keys to getting funding for your IT project. Bridging the IT generation gap. Here are the latest Insider stories. For CIOs, how to share good news, bad news. How 3 fintech startups are shaking up security. Machine learning offers hope against cyber attacks. Why (and how) to start planning your HoloLens apps. All Consumerization of IT. Bring Your Own Device (BYOD). Business Process Management (BPM). Enterprise Resource Planning (ERP). Software as a Service (SaaS). IT Skills and Training. Some tasks are ...

jimmyodonnell.wordpress.com

Blog | Jimmy O'Donnell | Evolutionary Ecology | University of Washington

https://jimmyodonnell.wordpress.com/blog

Evolutionary Ecology University of Washington. Transect Layout in R. July 8, 2014. I’m working with an awesome group of folks at NOAA’s Northwest Fisheries Science Center. On a project investigating biodiversity of eelgrass habitats around Puget Sound, and our team (the Kelly Lab. Is assessing the feasibility of environmental DNA. In the very useful R package geosphere. It’s incredibly simple, and you can find some code demonstrating its usage over here. On my GitHub page. June 16, 2014. June 17, 2014.

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plyr.had.co.nz

plyr

The split-apply-combine strategy for R. Plyr is a set of tools for a common set of problems: you need to split. Up a big data structure into homogeneous pieces, apply. A function to each piece and then combine. All the results back together. For example, you might want to:. Fit the same model to subsets of a data frame. Quickly calculate summary statistics for each group. Perform group-wise transformations like scaling or standardising. Totally consistent names, arguments and outputs. Get the released ve...

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Plyr - A simple HTML5 media player

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