RStudio Desktop Erfahrungen

RStudio, your Python buddy IDE

Kommentare: I was a user migrated from Eclipse to RStudio, and the change of coding language and environment was rough at the start, but once it gets going, it's amazing how fast you can solve every day problems like it's nothing.

Vorteile:

I think the best thing about RStudio Desktop are the scheduler for Python scripts, personally these have saved hours of tedious work making it a must-use tool for our team.

Nachteile:

Maybe the first time configuration could be a little more intuitive or assisted, once you set up the initial config it's really simple to follow along tutorials or videos to make work.

R for Data Analysts

Kommentare: R was created keeping the data science community in mind, and till date it has lived up to their standards. It is a tool purely focused on analytics and creation of machine learning models. Its libraries allows users to tweak every possible parameters to get the desired results.

Vorteile:

It has always been a tool for statisticians. It provides very specific ML libraries for very specific tasks. The libraries are strategically developed to cater to every minute hyperparameter tuning to achieve optimum results. RStudio allows the codes to be converted to markdowns which can be converted to HTML pages and published as websites effortlessly.

Nachteile:

As mentioned, the R language is quite challenging for naïve users and hence its documentation is also very technical. Its requires some time to gain hands-on experience to get used to this tool. The customer support is also not quite established as compared to python.

R Studio - larger learning curve than SPSS but will save you money

Kommentare: R studio works well, but it could be better. It's an open source software so I do not know if I should expect it to be better, though. You get more than what you pay for (nothing), but the expensive options are worth the price if you can afford it.

Vorteile:

I love the price of R/Rstudio - free! Competitors such as SPSS/IBM are expensive for one year licenses. I love how Rstudio is open source.

Nachteile:

I dislike how it's more similar to traditional python coding. Competitors such as SPSS have point and click options that are more comprehensive and straightforward.

Great tool for coding in R

Kommentare: I've used RStudio to build out code that can help run simple systems that help save a lot of time. Our most important need is that we had to do calculations using data from different sources that can manually take hours but RStudio allows us to get it done within minutes! And the best thing is that you can customize the output better than some other software out there. So overall, I like it a lot but I can understand why some may need something even more powerful.

Vorteile:

This is the best way to code in R and run code that could be helpful for all tasks from the mundane (like renaming or moving files) to the more advanced (like calculations across multiple excel sheets and creating a new master excel sheet with all of the data). Variables are clearly defined in the workspace at the top right, console at the bottom left - your typical work layout which helps with consistency. Overall, I love how powerful it is and like how many different packages are available.

Nachteile:

It's not as fast as some other software, but even for being free, this is more than enough. There isn't a lot of help for using this program either and I feel like I only knew about it because we've used it in school. Overall, the UI could get an update in looks to be more updated with the current times.

Exceptional IDE for Working with Data

Kommentare: I have found using RStudio intuitive, easy, and fun to use. I continue to marvel at the big and little things the developers have implemented that makes this a world class IDE and an indispensable tool for data analysis, data visualization, and general purpose coding.

Vorteile:

RStudio is a delightful IDE for working with Rlang and data. The ability to view tables instantly as you write each line of code allows for deeper insights and better coding. The table viewer even has sort and filtering functions to assist with the coding. The IDE functions make finding the right code commands and their arguments as simple as can be hoped. The layout of the screen and the ability to break out separate windows is really great and makes using the software on a single screen or multiple screens very friendly.

Nachteile:

Missing since of the third party add-ons of IDEs like PyCharm or Visual Studio that enable greater customisation.

The best IDE out there for R programming

Kommentare: Overall, I think RStudio is one of the best and most complete IDEs out there. For R programming specifically, it gives me a lot of flexibility and productivity boosts which is hard to do with any other R IDE.

Vorteile:

I like the completeness of RStudio as an IDE. It has lots of useful features and integrations with R packages that just boosts my productivity.

Nachteile:

I'd like more theme options to choose from. Other than that, I don't really have anything I dislike about RStudio.

Excellent tool for modelling!

Vorteile:

Really great tool and the execution time is quite low!

Nachteile:

There is nothing that I did't like about R-Studio.

Code with simple insights to what you do

Kommentare: Overall, I could write my desired code and do my job using powerful packages which were available.

Vorteile:

R studio provides a user-friendly environment for R-coder, especially for beginners. The environment provides easy access to variables and their values which is more critical to beginners who need to know what is happening in each part of the code.

Nachteile:

This might be a pain point for R overall and not specifically for R studio. However, there are different syntaxes for doing one task when working with some data types, which might get confusing. I prefer simplicity with only one solution.

A simple IDE with great power

Kommentare: When developing scripts in R, this IDE is the one that should everyone one choose due to its wide range of functionalities.

Vorteile:

Being able to manipulate large datasets and perform complex calculations with ease has greatly improved efficiency in the company. What I find most beneficial is the ability to create reproducible research and reports using R Markdown

Nachteile:

For new developers in R, UI may have some learning curve in comparison to other IDEs.

RStudio user for data analysis, visualisation and modelling

Kommentare: In my eyes, RStudio really gives R a clear edge over Python since Python has nothing that is as good as RStudio to offer in terms of IDE, not even close.

Vorteile:

Multi faceted display, flexibility, aesthetics, ease of use and performance

Nachteile:

Nothing major, a very minor that I couldn't see a way to add the arrows to the scroll bar for the black background versions (this is an extremely minor thing though!)

RYouWithMe

Vorteile:

It is very convenient to use for all kinds of data analysis with the inbuilt libraries.

Nachteile:

Some time there is a problem in viewing data. It does not show all the fields.

RStudio: from scary to lifesaver

Kommentare: It helps me to analized, organized and get explanatory and understandable graphics of my time serie data. I work with a great amount of numeral data that could make me go mad but RStudio helps a lot. It is not that scary once you understand how to use the program, in fact it has become one of the most important tools in my research.

Vorteile:

RStudio becomes my best friend. It is so practical to use when you get used to. I work with great amounts of data, time series data of phytoplankton, and having the right packages and codes make my work so simpler. I can analyze and get beautiful and explanatory graphics in a few minutes. The coding part is very handy and it can be editing and saved so you do not lose any code or project for the future. Last but not least, it has an universe of graphic design (colours, shapes,...) that adapts to whatever you need.

Nachteile:

I have been using the 1.4.1106 version of RStudio and I have a big problem, every once in a while the program crashed and get closed. I could not find any solution to that problem and it keeps happening. Apart from that, it is a very handy program but you need to learn how to use it and, at first, it is not easy at all. So many steps and packages that you have to be very careful or you are gonna end up very frustrating and angry. It could help a lot to bundle functions from different packages (that are statistically related) into one and the program could provide a "first approach" tutorial when you install it for the first time.

RStudio Desktop review as a student

Kommentare: I have been using RStudio Desktop as a Biomedical Science student as part of my courses Applied Biostatistics and Bioinformatics. It is a powerful tool that provides an IDE for data analysis and visualization with R. RStudio Desktop has a user-friendly and intuitive interface which makes it easy to write and execute code, manage packages and libraries, and visualize data all in one place. In addition, one important aspect is its collaboration features and its ability to share projects, code, and data with classmates via GitHub or RStudio Cloud, which has been helpful during team projects. Additionally, the software comes with an excellent integration with the ggplot2 library that allows the creation of attractive plots in no time, perfect for school reports. Overall, I would highly recommend RStudio Desktop to any science student for data analysis and visualization.

Vorteile:

What I like the most about RStudio Desktop is its intuitive and user-friendly interface, which allows people with non to limited knowledge of data science or coding, to perform statistic analysis with very little issues.

Nachteile:

The software can be quite resource-intensive, which can slow down the computer, especially when working on large projects. I have also encounter some bugs when installing packages.

It is still really good despite its new competitors.

Kommentare: RStudio is still one of the best softwares for statistics and data science, it is very visual and has a lot of content and packages which were produced along the years. Even thought, with R not being popular right now and RStudio being built mostly for it, it still feels good to be home.

Vorteile:

The RStudio software is easy to get in, making it the perfect choice for data science beginners or statisticians. It has tons of visual support, so you have a better idea of what you are doing and better chance to know when you have messed up. The amount of packages it has makes it viable even when having to use another languages since there are a lot of packages that integrates the other languages to the RStudio interface.

Nachteile:

The fact that it is built primarily on R, which right now is becoming a dead language, makes it unattractive for most customers.

Designed with science and engineering in mind

Kommentare: The value of this software is that it enables basically anyone to easily access and analyze large datasets. It has become imperative in biomedical science now to accommodate sequencing data, and even with no programming experience, R studio made it easy for me to get started with R. It's a must have for anyone who wants to do anything from moving a column to generating heat maps, and it can also compute statistics for you. All you have to do is know the right commands and how to use them, which I found challenging - it requires you to either have dedicated time to learn, or know someone who is very familiar with the programming environment already.

Vorteile:

I don't have much of a computer background, so I was very hesitant about using R-studio, but it was actually a lot more easy than I expected. It is a powerful tool to do everything from simple one-line calculations and commands to full scripts that you can develop and run to analyze and output large datasets. I've found it to be invaluable in assessing sequencing data, and it makes it easy to manipulate large cohorts of data that excel would freeze if you tried to do it manually.

Nachteile:

It i really hard to teach yourself how to use this software. At first, I was even confused which pane to type in, since there seemed to be two. However, after an initial ten minute introduction by another member of the team wo used R frequently, I was able to easily pick up how to use R studio to develop scripts and commands in R. You really have to get someone to teach you the different commands in order to make full use of R though.

Statistics with R

Kommentare: I developed statistical models on the application, took the results as output, visualized my data and presented them.

Vorteile:

The application is very easy to use. The interface is user-friendly and simple. You can write the application with python base. A programming language for statisticians is nice.

Nachteile:

There is nothing wrong with the application. Beginners may find it difficult to load libraries.

Excellent Data Analysis Tool

Kommentare: Working as a freelance epidemiologist and research consultant it is essential that I have access to a program within which I can analyze large amounts of data and share the results easily. R-Studio lets me do this.
One the interface of R-Studio is understood it is easy to navigate and allows for numerous analytical procedures to be performed.

Vorteile:

R-Studio is free to use and allows users to analyze large datasets easily and quickly. Code for R is available from a variety of sources which enables complicated analysis to be undertaken more easily than writing the code oneself.

Nachteile:

I really feel there are no cons to using R and R-Studio.

Don't use R without this

Vorteile:

I love this software, I may be biased as it was what I started with, but it has some features that I miss in other coding interfaces. To name a few: the ability to find and replace strings in your code (even with regex), the ability to comfortably view stored variables, all the neat keyboard shortcuts. You can even run Python from it!

Nachteile:

As I said, I love it, so it is hard to find criticism for it. Perhaps it could have R Markdown integrated right away - I am fairly certain that is not the case by default.

One and only IDE for R users in statistics and data science

Kommentare: Love every bit of using R, for creating fancy looking visualizations - graphs, maps, and interactive plots.

Vorteile:

This is a fabulous, open source, and very popular IDE for R programming language that is primarily used by biologists and statisticians. It has fairly easy to learn syntax, simple data structures, and can easily handle alphanumeric data for modeling and visualizations. It is continuously becoming better and better over the years, and has some great packages for visualization.

Nachteile:

It is a little tricky to work with big datasets, as the data structures offered in R don't handle large data very well.

R Studio Review

Kommentare: Overall R studio is an excellent product and a great tool to supplement teaching statistics and algebra II at the high school level and any statistics and data science class at the college algebra.

Vorteile:

R studio is an improved version to manage and execute code in the R platform. The user interface makes it extremely easy to organize and visualize data sets and it extremely useful for teaching. R studio is also easy to download and install and is free for individual users! Since it is open source there are many add ons that you can implement to the library to improve its functionality.

Nachteile:

R studio's greatest strength is also its greatest weakness, as a open source software there is a lack of support at the beginner level. You will have to do some online searching to find great tutorials and there is also a lack of customer support. I also found it difficult to intergrate R studio with other languages such as python or C+. It also seems catered to more of a data science analysis approach rather than programming and execution.

R Studio For Data Mining

Kommentare: Basically, I have good memories with this software. When I was learning as a graduate, I used to use this R studio to solve some statistical and mathematical problems which are given by my lectures. There are many aspects of this R studio. If you are a Student, Statisticians or Mathematician, still you may able to use this in order to make things easy.
It has given many options to get some quality graphs that are not available in other software. You have so many ways to present your output. You have a bunch of options to do some analysis in different techniques.
But this is highly recommended for those who are familiar with statistics or Mathematics.

Vorteile:

When we want to take the analysis output, there are so many options available according to that scenario such as R notebook, R markdown, R shiny etc. The very best second thing is this is open-source software( you do not need to buy it)

Nachteile:

When I am dealing with some data mining process, I need to install some packages and I should have a great awareness about those packages in order to get the best output.

A Good Tool For R Programmers

Kommentare: Overall, this is my to-go tool for R programming even though there are other options such as Jupyter that offer many different kernels such as Python and Julia other than R.

Vorteile:

The ability to install missing R packages instantly, creating R Markdown documents, and integration with Shiny Web App are the most appealing features for me as a machine learning researcher. I use RStudio almost everyday and have found it be one of the best interfaces to the R programming language for large scale data science projects.

Nachteile:

Memory management, in particular, with regards to installed packages is not intuitive and the user has to rely on command line options for a clearer picture.

Awesome free analytical software

Kommentare: I used r-studio to clean/visualize data and run analyses for a psychology study I worked on. It helped me build on my basic statistical knowledge and gain confidence in my querying.

Vorteile:

R-studio is one of the easiest to use statistical tools. It's clean, sleek interface is very intuitive and user friendly. It can handle large amounts of data and it suggests functions as you type, making it very beginner friendly. R-studio was a life saver for me in graduate school and is now a convenient tool I use in my work as an analyst.

Nachteile:

R-studio automatically updates periodically which can be a pain. Also, it cannot run multiple queries at the same time.

The Best Data Software

Kommentare: Thanks for Providing R-Studio.

Vorteile:

I'm using R software for about a year now. It is one of the best programming languages. Everyone who wants to work as a data engineer, data analyzer, or data scientist should know R. It provides efficient packages to solve various problems. It is user-friendly and easy to learn. When I started to learn R, I thought that it should take a lot of time. But after a while, I mastered using R. It has several features that make it easier to use R instead of utilizing other software.

Nachteile:

It is a reliable and efficient software. I cannot say too much about its Cons. Just as a personal experience, I do not like the graphics and environment of the software. I think it can be improved.

Great tool to code

Kommentare: As a new person in coding, Studio helpme to feel more confident to explore all the possibilities to process our data.

Vorteile:

It is a great improvement to R, the interfase is good and the new tools are great for someone new in the coding world.

Nachteile:

It can help a tutorial for the customization of the features tha Studio presents.