Blog Archives

Should you start your R blog now? 6 reasons I found in my first year of R blogging

March 30, 2019
By
Should you start your R blog now? 6 reasons I found in my first year of R blogging

Introduction It has been a year since I posted the first post on this blog. Since that time, I have learned many lessons, but the main one is probably that blogging has never been as accessible as it is now. In this anniversary post, I would like ...

Read more »

Should you start your R blog now? 6 reasons I found in my first year of R blogging

March 30, 2019
By
Should you start your R blog now? 6 reasons I found in my first year of R blogging

Introduction It has been a year since I posted the first post on this blog. Since that time, I have learned many lessons, but the main one is probably that blogging has never been as accessible as it is now. In this anniversary post, I would like ...

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 »

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 »

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 »

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 »

Search R-bloggers

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)