Blog Archives

sjPlot: New options for creating beautiful tables, documentation on #RPubs #rstats

April 22, 2014
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sjPlot: New options for creating beautiful tables, documentation on #RPubs #rstats

A new update of my sjPlot package was just released on CRAN. This release focused on improving existing functions and bug fixes again. Especially the table output functions (see my previous blog posts on table output functions here and here) improved a lot. Tables now have more and better possibilities for style customization and knitr

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sjPlot 1.3 available #rstats #sjPlot

March 27, 2014
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sjPlot 1.3 available #rstats #sjPlot

I just submitted my package update (version 1.3) to CRAN. The download is already available (currently source, binaries follow). While the last two updates included new functions for table outputs (see here and here for details on these functions), the current update only provides small helper functions as new functions. The focus of this update

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Developer snapshots of #sjPlot-package now on #Github #rstats

March 8, 2014
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Developer snapshots of #sjPlot-package now on #Github #rstats

Finally, I managed to setup a GitHub repository. From now on, the latest developer snapshot of my sjPlot-package will be published right here: https://github.com/sjPlot/devel. Please post issues there, download the latest developer build for testing purposes or help developing the wiki-page with examples for package usage etc. Btw, if somebody knows, why I can’t get

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Beautiful table outputs in R, part 2 #rstats #sjPlot

March 4, 2014
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Beautiful table outputs in R, part 2 #rstats #sjPlot

First of all, I’d like to thank my readers for the lots of feedback on my last post on beautiful outputs in R. I tried to consider all suggestions, updated the existing table-output-functions and added some new ones, which will be described in this post. The updated package is already available on CRAN. This posting

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Simply creating various scatter plots with ggplot #rstats

February 28, 2014
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Simply creating various scatter plots with ggplot #rstats

Inspired by these two postings, I thought about including a function in my package for simply creating scatter plots. In my package, there’s a function called sjp.scatter for creating scatter plots. To reproduce these examples, first load the package and then attach the sample data set: The simplest function call is by just providing two

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No need for SPSS – beautiful output in R #rstats

February 20, 2014
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No need for SPSS – beautiful output in R #rstats

About one year ago, I seriously started migrating from SPSS to R. Though I’m still using SPSS (because I have to in some situations), I’m quite comfortable and happy with R now and learnt a lot in the past months. But since SPSS is still very wide spread in social sciences, I get asked every

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Exponential Numbers

February 3, 2014
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Exponential Numbers

I received a message asking me why I use so often numbers like 1e6 (exponential form) instead of writing down the whole numbers. I never thought on this before. However, I can assure that it's not because I'm lazy and don't like typing long numbers. In fact, thinking on this made me find a reasonable

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Comparing multiple (g)lm in one graph #rstats

January 29, 2014
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Comparing multiple (g)lm in one graph #rstats

It’s been a while since a user of my plotting-functions asked whether it would be possible to compare multiple (generalized) linear models in one graph (see comment). While it is already possible to compare multiple models as table output, I now managed to build a function that plots several (g)lm-objects in a single ggplot-graph. The

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Finding out repeated variables in multiple datasets

January 28, 2014
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Finding out repeated variables in multiple datasets

Few days ago I posted on doing a smart job on importing several data files alike from a directory. Today, I want to return to this topic, but stretching it a bit further by adding some complexity. I want to have a snapshot of the datasets even before starting work with them. That is, I

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sjPlot 0.9 (data visualization package) now on CRAN #rstats

January 9, 2014
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sjPlot 0.9 (data visualization package) now on CRAN #rstats

Since version 0.8, my package for data visualization using ggplot has been released on the Comprehensive R Archive Network (CRAN), which means you can simply install the package with install.packages("sjPlot"). Last week, version 0.9 was released. Binaries are already available for OS X and Windows, and source code for Linux. Further updates will no longer

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