Version control has become essential for me keeping track of projects, as well as collaborating. It allows backup of scripts and easy collaboration on complex projects. RStudio works really well with Git, an open source open source distributed version control system, and GitHub, a web-based Git repository hosting service. I was always forget how to […]

Tutorial: The UX Research Tool We All Should Know

A series of circular apertures puncture the rectangular concrete buttresses of a nursery in Valencia by Spanish architects Rstudio. These concrete supports double-up as chunky brise-soleils to shade the four classrooms inside the Pio Baroja Nursery. Partitions between these rooms are also constructed from concrete and follow the positions of the exterior supports. Flexible partitions

A review of R and RStudio, showing where to download them, and highlighting and demonstrating many of RStudio's capabilities as a programming environment for R.

Spanish architects Rstudio have designed a combined metro station and park in Alboraya near Valencia. The new stepped park offers views into the semi-submerged station through large strip windows. Escalators bring passengers down from a single-storey entrance hall to the underground platforms, where trains depart for the city centre. Seven grass-covered terraces descend from the

Contribute to lmu-osc/Introduction-RStudio-Git-GitHub development by creating an account on GitHub.

The RStudio team has created another very useful cheat sheet for R: Working with Strings. This cheat sheet provides an example-laden menu of operations you can perform on strings (character verctors) in R using the stringr package. While base R provides a solid set of string manipulation functions, the stringr package functions are simpler, more consistent (making them easy to use with the pipe operator), and more like the Ruby or Python way of handling string operations. The back page of the cheat sheet also provides a handy guide to regular expressions a useful (if often frustrating) tool for extracting...

How to use RStudio? How to import datasets and manipulate data? How to plot data? In this RStudio tutorial, we will answer all these questions and more..

The ggraph package provides a ggplot-like grammar for plotting graphs and as such you can produce very neat network visualizations. But as with ggplot, it takes a while to get used to the grammar. There are already a few amazing Rstudio Addins that assist you with ggplot (for example ggplotAssist and ggThemeAssist), but there has not been any equivalent tools for ggraph. Till now. This post introduces snahelper, an Rstudio Addin which provides a tiny GUI for visualizing and analysing networks. Installation and Usage You can install the developer version with: #install.packages(devtools) devtools::install_github("schochastics/snahelper") In order to work properly, the Package also needs the smglr Package, which adds a new layout algorithm. devtools::install_github("schochastics/smglr") In order to use the Addin, simply highlight a network in your script and select snahelper from the Addin dropdown menu. Interface The GUI has the following components: Create and tweak a layout for your network Check and add note attributes Create the node styles Review edge attributes Create the edge styles Review Result Get the Code Let’s go through them step-by-step. Layout The layout tab allows you to choose from all implemented algorithms in igraph and the stress based layout from smglr, which is the default and recommended choice. See this blog post for an explanation. In the tweak section you can move individual nodes around. The implementation is still very crude, so don’t expect miracles from that. The layout is saved as node attributes x and y. Node Attribute Manager The Node Attribute Manager shows all existing node attributes in a sortable table. In addition, you can calculate some new ones (centrality and clustering).NOTE: the centrality indices only work for undirected and unweighted networks so far. Nodes This is where you can style your nodes. You can either do it manually, by choosing a color/size for all nodes together, or based on an attribute. Edge Attribute Manager So far, the Edge Attribute Manager only shows existing edge attributes. Future releases may include the possibility to calculate new ones. Edges You can style your edges here. snahelper automatically detects if your network is directed and adds arrows if the network is directed. The other options are similar to the nodes tab. The curvature option allows you to bend edges. I highly suggest, that you only bend your edges if there are two edges running between the same set of nodes to make them visible. If you do not have reciprocal edges, then just leave it at 0. Result The result tab shows the network in its full size. If you are satisfied with the results, hit the Done button and the R code to produce the plot is automatically inserted in your script. Additional Features So far I only incorporated what I consider the bare minimum to produce a good visualization of a network. Mostly because I did not want to overload the GUI. If you are missing something essential, open an issue and I will try to add the feature.

As an industrial management engineer, i have already developed 4 diffrent WEB sites using Laravel framework from which two are e-commerce websites. I also worked in Android Studio, in which I developed two applications. I have knowledge in data processing (linear regression, CART, neural ..).

John Mount from Win-Vector LLC demonstrates powerfull R debugging techniques using R Studio, projects, and specializes wrapper functions. All code and examp...

As the tittle, How to use keras and tensorflow in Rstudio if you just don't want to use python for thatthere a lot of updates on tensorflow, keras and Rstudi...

It is always challenging to teach a new programming language to someone with no prior programming knowledge. RStudio simplifies the learning process by handling all the technical setup.

I will assist you in statistics with spss, rstudio, excel, stata - Data Analysis & Reports. Click on the link for see the service on Fiverr.

I will do data analysis and visualization with r and rstudio - Data Analysis & Reports. Click on the link for see the service on Fiverr.

Explore the process to install RStudio, R and R Packages along with their updation in different operating systems. Also, learn about the R Packages concept thoroughly.

I will do data analysis, machine learning, and statistics in rstudio - Data Analysis & Reports. Click on the link for see the service on Fiverr.

I will do data analysis with r, using rstudio and using python - Data Analysis & Reports. Click on the link for see the service on Fiverr.

I will carry out data analysis and make visualizations in rstudio using r - Data Analysis & Reports. Click on the link for see the service on Fiverr.