1532 search results for "how to import image file to r"

Dynamically generated Shiny UI

December 15, 2016
By
Dynamically generated Shiny UI

Gábor Csárdi — Mango Solutions Joe Cheng — RStudio Introduction It is not uncommon that the user interface of a Shiny application needs to be generated dynamically, based on data or program state. One typical use case that we encounter … Continue reading →

Read more »

Visualizing taxi trips between NYC neighborhoods with Spark and Microsoft R Server

December 14, 2016
By
Visualizing taxi trips between NYC neighborhoods with Spark and Microsoft R Server

by Ali Zaidi, Data Scientist at Microsoft In previous post we showcased the use of the sparklyr package for manipulating large datasets using a familiar dplyr syntax on top of Spark HDInsight Clusters. In this post, we will take a look at the RxSpark API for R, part of the RevoScaleR package and the Microsoft R Server distribution of...

Read more »

How housing prices have increased around the world

December 12, 2016
By
How housing prices have increased around the world

Len Kiefer, Deputy Chief Economist at Freddie Mac, recently posted an analysis of global housing price trends based on the international house price database (from the Dallas Fed). Using those data, Kiefer compared housing trends price increases (and in a couple of places like Spain and Ireland, decreases) across 24 countries. He also looks at the change in affordability...

Read more »

Don’t give up on single trees yet…. An interactive tree with Microsoft R

December 10, 2016
By
Don’t give up on single trees yet…. An interactive tree with Microsoft R

Introduction A few days ago Microsoft announced their new Microsoft R Server 9.0 version. Among a lot of new things, it includes some new and improved machine learning algorithms in their MicrosoftML package. Fast linear learner, with support for L1 … Continue reading →

Read more »

Replicating CRSP Volatility Decile Portfolios in R

December 7, 2016
By
Replicating CRSP Volatility Decile Portfolios in R

  Introduction In this post, I provide R code that enables the replication of the Center for Research in Security Prices (CRSP) Volatiliy Deciles using Yahoo! Finance data. This post is related to my last blog post in that it will generate the CRSP low volatility decile portfolio, thereby facilitating the replication of the associated … Continue...

Read more »

Reddit Responds to the Election

December 5, 2016
By
Reddit Responds to the Election

It’s been about a month since the U.S. presidential election, with Donald Trump’s victory over Hillary Clinton coming as a surprise to most. Reddit user Jason Baumgartner collected and published every submission and comment posted to Reddit on the ...

Read more »

Crime Analysis – Denver-Part 3

December 5, 2016
By
Crime Analysis – Denver-Part 3

Marijuana, Alcohol, and Other Drugs Continuing our Exploration of the Data After identifying the sources of crime growth, it’s time to investigate specific crime rates. This blog post addresses drug and alcohol crimes in Denver over the past few years. This is a very simplistic view because it will only focus on trend data, which

Read more »

Crime Analysis – Denver-Part 3

December 4, 2016
By
Crime Analysis – Denver-Part 3

A look into Denver crime data surrounding marijuana, alcohol, and other drugs using R programming.

Read more »

Forecast double seasonal time series with multiple linear regression in R

December 2, 2016
By
Forecast double seasonal time series with multiple linear regression in R

I will continue in describing forecast methods, which are suitable to seasonal (or multi-seasonal) time series. In the previous post smart meter data of electricity consumption were introduced and a forecast method using similar day approach was proposed. ARIMA and exponential smoothing (common methods of time series analysis) were used as forecast methods. The biggest disadvantage of this...

Read more »

Comparing a MySQL Query with a Data Table in R

December 2, 2016
By
Comparing a MySQL Query with a Data Table in R

  Data tables are becoming an increasingly popular way of working with data sets in R. The syntax can become rather complex, but the framework is much faster and more flexible than other methods. The basic structure of a data table, though, if fairly intuitive–as it corresponds quite nicely with SQL queries in relational database

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)