Blog Archives

Creating blazing fast pivot tables from R with data.table – now with subtotals using grouping sets

March 2, 2019
By
Creating blazing fast pivot tables from R with data.table – now with subtotals using grouping sets

Introduction Data manipulation and aggregation is one of the classic tasks anyone working with data will come across. We of course can perform data transformation and aggregation with base R, but when speed and memory efficiency come into play, data.table is my package of choice. In this post we will look at of the fresh and very useful functionality that came...

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Creating blazing fast pivot tables from R with data.table – now with subtotals using grouping sets

March 2, 2019
By
Creating blazing fast pivot tables from R with data.table – now with subtotals using grouping sets

Introduction Data manipulation and aggregation is one of the classic tasks anyone working with data will come across. We of course can perform data transformation and aggregation with base R, but when speed and memory efficiency come into play, data.table is my package of choice. In this post we will look at of the fresh and very useful functionality that came...

Read more »

Verbose data.table and uncovering hidden cedta’s data table awareness decisions

February 16, 2019
By
Verbose data.table and uncovering hidden cedta’s data table awareness decisions

Introduction When speed and memory efficiency is important, the data.table package is one of the ways to improve those aspects of our R code dramatically. Including data.table in a package also comes with the added benefit of only importing the methods package, which is part of base R. We must also however pay attention to correctly importing and using methods,...

Read more »

Verbose data.table and uncovering hidden cedta’s data table awareness decisions

February 16, 2019
By
Verbose data.table and uncovering hidden cedta’s data table awareness decisions

Introduction When speed and memory efficiency is important, the data.table package is one of the ways to improve those aspects of our R code dramatically. Including data.table in a package also comes with the added benefit of only importing the methods package, which is part of base R. We must also however pay attention to correctly importing and using methods,...

Read more »

R Markdown: 3 sources of reproducibility issues and options how to tackle them

February 2, 2019
By
R Markdown: 3 sources of reproducibility issues and options how to tackle them

Introduction R Markdown is a great tool to use for creating reports, presentations and even websites that contain evaluated and rendered code. This can help us immensely when presenting data science type of work to audiences, while still being able to version control the content creation process. One of the challenges that stay is reproducibility of the rendered results. In this...

Read more »

R Markdown: 3 sources of reproducibility issues and options how to tackle them

February 2, 2019
By
R Markdown: 3 sources of reproducibility issues and options how to tackle them

Introduction R Markdown is a great tool to use for creating reports, presentations and even websites that contain evaluated and rendered code. This can help us immensely when presenting data science type of work to audiences, while still being able to version control the content creation process. One of the challenges that stay is reproducibility of the rendered results. In this...

Read more »

Create R Markdown reports and presentations even better with these 3 practical tips

January 19, 2019
By
Create R Markdown reports and presentations even better with these 3 practical tips

Introduction Including R Markdown in the workflow for presenting and publishing analyses that use code in R or other languages is a great way to make presentations, dashboards or reports good looking, reproducible and version controllable. In this post, we will look at three simple ways to improve that workflow even further with methods that are lesser known and can make...

Read more »

Create R Markdown reports and presentations even better with these 3 practical tips

January 19, 2019
By
Create R Markdown reports and presentations even better with these 3 practical tips

Introduction Including R Markdown in the workflow for presenting and publishing analyses that use code in R or other languages is a great way to make presentations, dashboards or reports good looking, reproducible and version controllable. In this post, we will look at three simple ways to improve that workflow even further with methods that are lesser known and can make...

Read more »

Here’s why 2019 is a great year to start with R: A story of 10 year old R code then and now

January 5, 2019
By
Here’s why 2019 is a great year to start with R: A story of 10 year old R code then and now

Introduction It has been more than ten years since I wrote my first R code. And in those years, the R world has changed dramatically, and mostly to the better. I believe that the current time may be one of the best times to start working with R. In this new year’s post we will look at the R world 10...

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Here’s why 2019 is a great year to start with R: A story of 10 year old R code then and now

January 5, 2019
By
Here’s why 2019 is a great year to start with R: A story of 10 year old R code then and now

Introduction It has been more than ten years since I wrote my first R code. And in those years, the R world has changed dramatically, and mostly to the better. I believe that the current time may be one of the best times to start working with R. In this new year’s post we will look at the R world 10...

Read more »

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