Monthly Archives: February 2017

Success rates of appeals to the Supreme Court by Circuit

February 25, 2017
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Success rates of appeals to the Supreme Court by Circuit

In the chaos of the last month or so of United States of America governance, one item that grabbed my attention was the claim by President Trump that 80% of appeals decided by the Ninth Circuit Court of Appeal are overturned by the Supreme Court of the...

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Gender gap in Swedish mortality

February 24, 2017
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Gender gap in Swedish mortality

Why Sweden?

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Prophet: How Facebook operationalizes time series forecasting at scale

February 24, 2017
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Prophet: How Facebook operationalizes time series forecasting at scale

Facebook is a famously data-driven organization, and an important goal in any data science activity is forecasting. Now, Facebook has released Prophet, an open-source package for R and Python that implements the time-series methodology that Facebook uses in production for forecasting at scale. Prophet has a very simple interface: you pass it a column of dates and a column...

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H-1B Visa Petitions Exploratory Data Analysis

February 24, 2017
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H-1B Visa Petitions Exploratory Data Analysis

Contributed by Sharan Naribole. He is currently undertaking the part-time online bootcamp organized by NYC Data Science Academy (Dec 2016- April 2017). This blog is based The post H-1B Visa Petitions Exploratory Data Analysis appeared first on NYC Data Science Academy Blog.

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More January Package Picks

February 24, 2017
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More January Package Picks

by Joseph Rickert In a recent post, I highlighted several new packages that arrived on CRAN in January that provided R users with access to data. In this post, I present additional selections for interesting January packages, organized into the categories Miscellaneous, Machine Learning, Statistics and Utilities. Miscellaneous rcss v1.2: Provides functions for Solving Control

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Where to find and how to use NUTS2 level maps in R

February 24, 2017
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Where to find and how to use NUTS2 level maps in R

There are many opportunities to find maps which are good for R, also You can easily find country level maps. TIP1: GADM database + basic plot function For example GADM

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When Size Matters: Weighted Effect Coding

February 24, 2017
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Categorical variables in regression models are often included by dummy variables. In R, this is done with factor variables with treatment coding. Typically, the difference and significance of each category are tested against a preselected ...

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Make Power Fun (Again?)

February 24, 2017
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Make Power Fun (Again?)

Make Power Fun (Again?) Brandon LeBeau University of Iowa Overview (G)LMMs Power simglm package Shiny Demo - Broken! Linear Mixed Model (LMM) Power Power is the ability to statistically detect a true effect (i.e. non-ze...

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a riddle at the end of its tether

February 23, 2017
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a riddle at the end of its tether

A simply worded riddle this week on The Riddler, about four ropes having non-uniform and unknown burning rates, the only constraint being they all burn completely in one hour. With the help of a lighter (or even a single match), what are the possible units of time one can measure by burning them? While I

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Factor Analysis with the Principal Factor Method and R

February 23, 2017
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As discussed in a previous post on the principal component method of factor analysis, the term in the estimated covariance matrix , , was excluded and we proceeded directly to factoring and . The principal factor method of factor analysis (also called the principal axis method) finds an initial estimate... The post Factor Analysis with the Principal Factor Method and...

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