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We are happy to announce the R package compareWith, providing user-friendly RStudio addins that simplify diff and merge tasks. Just ahead of the upcoming useR!2019 Toulouse, where Miraier Nikki will be introducing the package in a short talk during ... [Read more...]

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We are pleased to announce the release of XLConnect 0.2-14, now available from CRAN and from our GitHub repository. This release is mainly a maintenance release and comes with the following changes: Upgrade to Apache POI 3.17 Upgraded XLCo... [Read more...]

We are pleased to announce the release of XLConnect 0.2-14, now available from CRAN and from our GitHub repository. This release is mainly a maintenance release and comes with the following changes: Upgrade to Apache POI 3.17 Upgraded XLCo... [Read more...]

This post shows how to use Apache Spark and Google BigQuery in R via sparklyr to efficiently analyze a big dataset (NYC yellow taxi trips). You can find the R Markdown document used to generate this post here. Introduction On August 3, 2015 the New York City Taxi & Limousine Commission (TLC), in ... [Read more...]

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We show how to use roxygen2 tags and templates for deprecating existing documented functions. Introduction Package roxygen2 provides a powerful way of documenting packages and objects inside them. In particular, great flexibility is available for o... [Read more...]

We are pleased to announce the release of XLConnect 0.2‑13, now available from CRAN and from our GitHub repository. This release comes with the following changes: Upgraded to Apache POI 3.16 Performance improvements to setCellStyle for lar... [Read more...]

We are pleased to announce the release of XLConnect 0.2‑13, now available from CRAN and from our GitHub repository. This release comes with the following changes: Upgraded to Apache POI 3.16 Performance improvements to setCellStyle for lar... [Read more...]

We are pleased to announce the release of XLConnect 0.2‑12, now available from CRAN and from our GitHub repository. This release is comprised of the following: Moved to Apache POI 3.15-beta1 Upgraded to Apache Commons Codec 1.10 Upgraded... [Read more...]

We are pleased to announce the release of XLConnect 0.2‑12, now available from CRAN and from our GitHub repository. This release is comprised of the following: Moved to Apache POI 3.15-beta1 Upgraded to Apache Commons Codec 1.10 Upgraded... [Read more...]

Mirai Solutions GmbH (http://www.mirai-solutions.com) is pleased to announce the availability of XLConnect on github. Whether you want to browse the code or simply want access to the latest development version of XLConnect, visit us on github. XLConnect can be directly … Continue reading → [Read more...]

Mirai Solutions GmbH (http://www.mirai-solutions.com) is very pleased to announce the release of XLConnect 0.2-4, which is available from CRAN. This newest release comes along with a number of new features: Ability to read cached cell values. There is a new … Continue reading → [Read more...]

Mirai Solutions GmbH (http://www.mirai-solutions.com) is very pleased to announce the release of XLConnect 0.2-0, which can be found at CRAN. As one of the updates, XLConnect has moved to the newest release of Apache POI: 3.8. Also, the lazy evaluation … Continue reading → [Read more...]

Mirai Solutions GmbH (http://www.mirai-solutions.com) is pleased to announce the availability of XLConnect 0.1-8 on CRAN. The most prominent new features/extensions are an improved package vignette which provides more information and examples to get people started with the package. A new … Continue reading → [Read more...]

Mirai Solutions GmbH (http://www.mirai-solutions.com) is pleased to announce the availability of XLConnect 0.1-7. This release includes a number of improvements and new features: Performance improvements when writing large xlsx files New workbook data extraction & replacement operators [, [ [Read more...]

XLConnect is a comprehensive and platform-independent R package for manipulating Microsoft Excel files from within R. XLConnect differs from other related R packages in that it is completely cross-platform and as such runs under Windows, Unix/Linux and Mac (32- and 64-bit). Moreover, it … Continue reading → [Read more...]