香港赛马会彩券管理局

drake transformed

Version 7.0.0 of drake just arrived on CRAN, and it is faster and easier to use than previous releases. install.packages("drake") Recap Data analysis can be slow. A round of scientific computation can take several minutes, hours, or even days to complete. After it finishes, if you update your code or data, your hard-earned results may no longer be valid. How much of...

Read more »

Code and Data in a large Machine Learning project

March 17, 2019
By

We did a large machine learning project at work recently. It involved two data scientists, two backend engineers and a data engineer, all working on-and-off on the R code during the project. The project had many interesting and new aspects to me, among them are doing data science in an agilish way, how to keep track of the different...

Read more »

Access the free economic database DBnomics with?R

March 17, 2019
By
Access the free economic database DBnomics with?R

DBnomics : the world’s economic?database Explore all the economic data from different providers (national and international statistical institutes, central banks, etc.), for free, following the link db.nomics.world. You can also retrieve all the economic data through the rdbnomics package here. This blog post describes the different ways to do?so. Fetch time series by ids First, let’s assume that we know which series we...

Read more »

RQuantLib 0.4.8: Small updates

March 17, 2019
By

A new version 0.4.8 of RQuantLib reached CRAN and Debian. This release was triggered by a CRAN request for an update to the configure.ac script which was easy enough (and which, as it happens, did not result in changes in the configure script produce...

Read more »

Rcpp 1.0.1: Updates

March 17, 2019
By

Following up on the 10th anniversary and the 1.0.0. release, we excited to share the news of the first update release 1.0.1 of Rcpp. package turned ten on Monday—and we used to opportunity to mark the current version as 1.0.0! It arrived at CRAN ov...

Read more »

Tipster Season

March 16, 2019
By
Tipster Season

So it is approaching AFL mens season, which means that soon everyones twitter feed, Facebook and emails will get clogged up with various tipsters. People saying they have won at 60% of the time over last season and therefor you should pay them money and follow their tips! But how can you assess the accuracy of a tipster? Very few...

Read more »

wrapr::let()

March 16, 2019
By

I would like to once again recommend our readers to our note on wrapr::let(), an R function that can help you eliminate many problematic NSE (non-standard evaluation) interfaces (and their associate problems) from your R programming tasks. The idea is to imitate the following lambda-calculus idea: let x be y in z := ( λ … Continue reading wrapr::let()

Read more »

How to create professional reports from R scripts, with custom styles.

March 16, 2019
By
How to create professional reports from R scripts, with custom styles.

Introduction If the practical tips for R Markdown post we talked briefly about how we can easily create professional reports directly from R scripts, without the need for converting them manually to Rmd and creating code chunks. In this one, we will provide useful tips on advanced options for styling, using themes and producing light-weight HTML reports directly from R...

Read more »

Version 0.7.1 of NIMBLE released

March 15, 2019
By
Version 0.7.1 of NIMBLE released

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Version 0.7.1 is primarily a maintenance release with a couple important bug fixes and a few additional

Read more »

Adding Custom Fonts to ggplot in R

March 15, 2019
By
Adding Custom Fonts to ggplot in R

ggplot – You can spot one from a mile away, which is great! And when you do it’s a silent The post Adding Custom Fonts to ggplot in R appeared first on Daniel Oehm | Gradient Descending.

Read more »

littler 0.3.7: Small tweaks

March 15, 2019
By
littler 0.3.7: Small tweaks

The eight release of littler as a CRAN package is now available, following in the thirteen-ish year history as a package started by Jeff in 2006, and joined by me a few weeks later. littler is the first command-line interface for R and predates Rscript. And it is (in my very biased eyes) better as it allows for piping as...

Read more »

Scraping old player data

March 15, 2019
By
Scraping old player data

As its been pointed out to me on that it would be handy if within fitzRoy that it should contain past players data from footywire. So here is roughly how to do that. Step 1 - get all the packages you need library(rvest) ## Loading required package: xml2 library(tidyverse) ## ── Attaching packages ──────────────── tidyverse 1.2.1 ── ## ? ggplot2 3.1.0 ...

Read more »

How I implemented googleSignIn in R (shiny) and lived

March 15, 2019
By
How I implemented googleSignIn in R (shiny) and lived

Known user identity when building shiny apps can sometimes come really handy. While you can implement your own user login, for instance using cookies, you can also use some of the services which authenticate a user for you, such as Google. This way, yo...

Read more »

R and Python: Using reticulate to get the best of both worlds

March 15, 2019
By
R and Python: Using reticulate to get the best of both worlds

We at STATWORX use mostly R or Python for our projects. But why not both? With the help of the reticulate package we can use Python within R. Here we show an example of how to train a Support Vector Machine. Der Beitrag R and Python: Using reticulate to get the best of both worlds erschien zuerst auf STATWORX.

Read more »

Software Dependencies and Risk

March 15, 2019
By
Software Dependencies and Risk

Dirk Eddelbuettel just shared an important point on software and analyses: dependencies are hard to manage risks. If your software or research depends on many complex and changing packages, you have no way to establish your work is correct. This is because to establish the correctness of your work, you would need to also establish … Continue reading Software...

Read more »

The Clash of the Titans in Test and ODI cricket

March 15, 2019
By
The Clash of the Titans in Test and ODI cricket

Who looks outside, dreams; who looks inside, awakes. Show me a sane man and I will cure him for you. Carl Jung ? We’re made of star stuff. We are a way for the cosmos to know itself. If you want to make an apple pie from scratch, you must first create the universe. Carl … Continue reading The...

Read more »

#20: Dependencies. Now with badges!

March 14, 2019
By
#20: Dependencies. Now with badges!

Welcome to post number twenty in the randomly redundant R rant series of posts, or R4 for short. It has been a little quiet since the previous post last June as we’ve been busy with other things but a few posts (or ideas at least) are queued. Depen...

Read more »

sparklyr 1.0: Apache Arrow, XGBoost, Broom and TFRecords

March 14, 2019
By
sparklyr 1.0: Apache Arrow, XGBoost, Broom and TFRecords

With much excitement built over the past three years, we are thrilled to share that sparklyr 1.0 is now available on CRAN! The sparklyr package provides an R interface to Apache Spark. It supports dplyr, MLlib, streaming, extensions and many other features; however, this particular release enables the following new features: Arrow enables faster and larger data transfers between Spark and...

Read more »

EARL London abstract submission deadline – 31 March

March 14, 2019
By
EARL London abstract submission deadline – 31 March

“EARL is a great Conference: it gives the opportunity of connecting with other companies that are using R for data analysis and getting inspired by their stories.” We have been delighted to already receive?a host of interesting and brilliant abstracts for?EARL London 2019, and there’s still time to submit yours! The Enterprise Applications of the R Langauge Conference is...

Read more »

How to select a seed for simulation or randomization

March 14, 2019
By

If you need to generate a randomization list for a clinical trial, do some simulations or perhaps perform a huge bootstrap analysis, you need a way to draw random numbers. Putting many pieces of paper in a hat and drawing them is possible in theory, but you will probably be using a computer for doing … Continue reading How...

Read more »

Collecting Content Security Policy Violation Reports in S3 (‘Effortlessly’/’Freely’)

March 14, 2019
By

In the previous post I tried to explain what Content Security Policies (CSPs) are and how to work with them in R. In case you didn’t RTFPost the TLDR is that CSPs give you control over what can be loaded along with your web content and can optionally be configured to generate a violation report... Continue reading →

Read more »

Pi day quiz

March 14, 2019
By
Pi day quiz

Today is the Pi Day – an annual celebration of the mathematical constant Pi. It is observed every year on March 14, since Pi can be approximated by 3.14, and the this date is written as 3/14 in the month/day format. To celebrate this day, here is a short quiz about Pi. You can find … Continue reading Pi...

Read more »

Simulating the Six Nations 2019 Rugby Tournament in R: Final Round Update

March 14, 2019
By
Simulating the Six Nations 2019 Rugby Tournament in R: Final Round Update

In an?earlier post I blogged how I had made a Monte Carlo simulation model of the Six Nations Rugby Tournament.??With the final round of the tournament approaching this Saturday, I decided to do a quick update. Who can win at this stage? Wales, England, or Ireland can still win.? Scotland, France and Italy do not … Continue reading Simulating...

Read more »

Create interactive ggplot2 graphs with plotly

March 13, 2019
By
Create interactive ggplot2 graphs with plotly

A tutorial showing how to create interactive ggplot2 graphs in R with the ploty package.

Read more »

On the poor performance of classifiers in insurance models

March 13, 2019
By
On the poor performance of classifiers in insurance models

Each time we have a case study in my actuarial courses (with real data), students are surprised to have hard time getting a “good” model, and they are always surprised to have a low AUC, when trying to model the probability to claim a loss, to die, to fraud, etc. And each time, I keep saying, “yes, I know,...

Read more »

RStudio 1.2 Preview: Jobs

March 13, 2019
By
RStudio 1.2 Preview: Jobs

When you run an R script in RStudio today, the R console waits for it to complete, and you can’t do much with RStudio until the script is finished running. When your R scripts take a long time to run, it can be difficult to get much done in RStudio while they do, unless you’re willing to juggle multiple...

Read more »

Zotero hacks: unlimited synced storage and its smooth use with rmarkdown

March 13, 2019
By
Zotero hacks: unlimited synced storage and its smooth use with rmarkdown

Here is a bit refreshed translation of my 2015 blog post, initially published on Russian blog platform habr.com. The post shows how to organize a personal academic library of unlimited size for free. This is a funny case of a self written manual which I came back to multiple times myself and many many more times referred my friends...

Read more »

Visually explore Probability Distributions with vistributions

March 13, 2019
By
Visually explore Probability Distributions with vistributions

We are happy to introduce the vistributions package, a set of tools for visually exploring probability distributions. Installation # Install release version from CRAN install.packages("vistributions") # Install development version from GitHub # install.packages("devtools") devtools::install_github("rsquaredacademy/vistributions") Shiny App vistributions includes a shiny app which can be launched using vdist_launch_app() or try the live version here. Read on to learn more about the features of vistributions, or see the vistributions website for detailed documentation...

Read more »

Parsnipping Fama French

March 13, 2019
By
Parsnipping Fama French

Today, we will continue our exploration of developments in the world of tidy models, and we will stick with our usual Fama French modeling flow to do so. For new readers who want get familiar with Fama French before diving into this post, see here where we covered importing and wrangling the data, here where we covered rolling models...

Read more »

Search R-bloggers


Sponsors

Mango solutions







Zero Inflated Models and Generalized Linear Mixed Models with R



wiley.com/learn/datascience

Quantide: statistical consulting and training

ODSC boston

http://www.eoda.de









Six Sigma Online Training

mljar.com

Our ads respect your privacy. Read our Privacy Policy page to learn more.

Contact us if you wish to help support R-bloggers, and place your banner here.

香港赛马会彩券管理局
中国足彩网亚赔 浙江20选5预测号码 福彩15选5开奖结果查询 金蟾捕鱼游戏币无限版 福彩3d试机号分析乐彩网 旺雀麻将机的价钱 上海时时乐官网 广东十一选五时时 曾道人一码中特 辽宁快乐12开奖预测号码 江苏快3计划分析软件 秒速飞艇玩法 搜狐彩票合法吗 河南22选5走势图 平码论坛