6189 search results for "git"

Seven 3D Graphs You Can Make In Excel, Python, MATLAB, R, & LaTeX

January 15, 2015
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Seven 3D Graphs You Can Make In Excel, Python, MATLAB, R, & LaTeX

Plotly’s interactive 3D graphs let you make graphs from (click the links for tutorials): our web app, Excel, Google Docs, Python, MATLAB, and R. Click any image below to go to the full-screen interactive version. Also, news for users with on-premise needs. Plotly On-Premise can be hosted on a private server. Contact us...

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Type constraints and NAs in lambda.r

January 15, 2015
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Type constraints and NAs in lambda.r

Someone asked recently how lambda.r deals with NAs in type constraints. Type constraints are optional decorations on a function that …Continue reading →

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Maths, Music and Merkbar

January 15, 2015
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Maths, Music and Merkbar

Control is what we already know. Control is where we have already ventured. Control is what helps us predict the future. (Merkbar) Maths and music get along very well. Last December I received a mail from a guy called Jesper. He is one of the two members of Merkbar: a electronic music band from Denmark. … Continue reading...

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Some basics for base graphics

January 15, 2015
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Some basics for base graphics

by Joseph Rickert One of the greatest strengths of the R language is surely the base graphics capabilities. Grid graphics, lattice, ggplot2, bigvis and the many R packages that interface with javascript D3 graphics have added astounding capabilities, well beyond what can be achieved with base graphics alone. Nevertheless, the quick, one line, base graphics plots ( like plot()...

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Drug Crime Density in Boston

January 15, 2015
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Drug Crime Density in Boston

The original map can be found in my previous post, Spatial Data Visualization with R. As a review, I use get_map function in the ggmap package to grab a map of Boston from Google Maps. The “crime report” data can be found at https://data.cityofboston.gov/. In the code below, I bring in crime data as a csv file. The data … Continue reading...

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Drug Crime Density in Boston

January 15, 2015
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Drug Crime Density in Boston

The original map can be found in my previous post, Spatial Data Visualization with R. As a review, I use get_map function in the ggmap package to grab a map of Boston from Google Maps. The “crime report” data can be found at https://data.cityofboston.gov/. In the code below, I bring in crime data as a csv file. The data … Continue reading...

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How do you get things into base-R?

January 15, 2015
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How do you get things into base-R?

A couple of months ago I spotted that the examples for the paste function weren’t very good, and actually, there were quite a few functions that new users of R are likely to encounter, that weren’t well explained. I’ve now managed to get some updated examples into R (paste, sum, NumericConstants, pie, a couple dozen

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shinyEvents: build shiny apps with event handlers

January 15, 2015
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shinyEvents: build shiny apps with event handlers

RStudio's shiny is a great framework to generate web applications with R. In a classical shiny app, interactivity is not generated via event handlers but by reactive programming. For details, see the shiny documentation and tutorials under http://shiny.rstudio.com/. While shiny's reactive programming model is great for smaller apps, I personally found it less useful for bigger applications that create...

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Using the microbenchmark package to compare the execution time of R expressions

January 14, 2015
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Using the microbenchmark package to compare the execution time of R expressions

I recently learned about the microbenchmark package while browsing through Hadley’s advanced R programming book. I’ve done some quick benchmarking using system.time() in a for loop and taking the average, but the microbenchmark function in the microbenchmark package makes this much easier. Hadley gives the example of taking the square root of a vector using the built-in...

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The 74 most violent cities in Mexico

January 14, 2015
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The 74 most violent cities in Mexico

I’ve updated the mxmortalitydb package to include 2013 data. This data only package includes all injury intent deaths (accidents, homicides, suicides, and unspcified intent) that were registered in Mexico from 2004 to 2013. You can use the package to calculate changes and trends in homicide rates in the most violent metro areas (or...

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