R COMMANDER VS R STUDIO HOW TO
R COMMANDER VS R STUDIO INSTALL
R COMMANDER VS R STUDIO FULL
R COMMANDER VS R STUDIO CODE

It is also fairly easy to insert extra rows and columns with this feature. After naming your dataset you are free to insert the data. To work with the editor simply go to the data tab and select “new dataset”.

Creating a whole new dataset using the editor.

You would than simply select the file on your machine and click ok.

R COMMANDER VS R STUDIO HOW TO

You can change the formatting or the naming of the rows and columns and you can also indicate how to display missing values. You would simply go to data, import datasets, and you can select the type of data you have. Of course there is an easy way to import datasets from various other programs.

R COMMANDER VS R STUDIO FULL

Be aware that you need a dataset activated in order to get access to the full functionality of RCmdr.

R COMMANDER VS R STUDIO CODE

That is a convenient way to get the code base, which is ready to be adapted.īasically you have 3 ways in how to get your data into R Comander.

You want to automatically generate code on standard procedures which you later on want to manipulate and tailor in R command line.

Getting standard things done in a quick and dirty approach to get a first impression on your dataset is a strongpoint of R Commander. Data import from various sources and programs is very easy and fast as well. Things like that are extremely easy and fast in R Commander.

You want to do standard analysis and plots like boxplots, ANOVAs, t-tests and histograms.

Sooner or later you will see patterns which will make coding in RStudio much more intuitive to you. Each time you see a piece of code and you know what you did in order to get it, you will automatically get a feeling on how R code looks like. Rcmdr generates the standard R code and sends it to the console so that R does the calculations for you. With the click interface of Rcmdr you would also get the code output on your screen.

You are just starting out with R and programming as a whole.

There are 3 scenarios I can think of where Rcmdr makes perfect sense compared to command line coding: If you are working on more advanced topics, you will have to resort to command line programming. Nonetheless you have to keep in mind that the capabilities of Rcmdr are limited when compared to SPSS, STATA or the R language itself. That simply means that you have a stats package like SPSS or STATA that can be run without programming language skills. You can use command line, but the most common features like plots, statistics and simple data management can be done with your mouse. InterfaceĪs you can see the whole thing can be run with mouse clicks to some extent. Therefore you would simply load Rcmdr directly in the R Console via library(Rcmdr) and the program opens. Or simply spoken, running a program within a program that already runs in a program will lead to problems and instability sooner than later. It would be like running a GUI from within a GUI that already runs in a software. You could run Rcmdr within RStudio but I would advise against it. The installation process can be easily handled in RStudio in the “packages” window or you can also use install.packages() directly in R. You have to manually get the ones missing.

R COMMANDER VS R STUDIO INSTALL

After you are done installing Rcmdr and the array of dependable libraries, R might ask you to install some more packages which have not been collected automatically. Depending on the extra packages you already have on your machine you would probably need to get between 20-40 extra libraries, which are fortunately downloaded automatically – at least most of them. By installing it you would automatically download a whole bunch of dependable packages. Basically the whole GUI can be had by simply getting this add on package. In order to get it on your machine you would at first install the package Rcmdr. In some scenarios, this GUI can really make your job much easier. Next to RStudio there is another very helpful R GUI – graphical user interface – called R Commander.

R commander vs r studio