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Ok but need some improvements
What do you like best about the product?
Layout in some sense is similar to matlab, so if you are familiar with it then it's easy to navigate. R notebook is really useful and especially ability to chunk your code and run them separately, code autocomplete suggestion and variable highlights makes it easy write scripts
What do you dislike about the product?
Takes a while to get used to the interface. Navigation between panels is a bit poor, and sometimes it crashes when doing heavy computations. Poor resolution on Mac computers (used on both iMac and macbook pro)
What problems is the product solving and how is that benefiting you?
Mostly bioinformatics research, Rstudio is more intuitive than using in terminal. Benefits: code chunking and seeing plots straight on in the window.
Recommendations to others considering the product:
Use R markdown and code chunking
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Insightful
What do you like best about the product?
Flexibility to analyze data. Assistance in visualizing data.
What do you dislike about the product?
The load times to execute code. compatibility with SAP data sources
What problems is the product solving and how is that benefiting you?
Business Analysis. Data Visualozation. KPI Tracking.
Recommendations to others considering the product:
Extremely useful tool
Great IDE for R
What do you like best about the product?
Rstudio is a great IDE for R. Working R with Rstudio makes my work easier and faster. Help tab is really useful.
What do you dislike about the product?
So far most features of Rstudio are great for me
What problems is the product solving and how is that benefiting you?
Genomics
RStudio
What do you like best about the product?
The gui of RStudio allows for easy tracking of variables and data tables created.
What do you dislike about the product?
Sometimes the syntax trips me up because it is slight different than many other languages I use.
What problems is the product solving and how is that benefiting you?
Predictive modeling. It is Ana amazing statistical software that can be efficient when you linearize your code.
Data scientist
What do you like best about the product?
Easy to use interface and lots of packages
What do you dislike about the product?
Package upgrades are not handled automatically
What problems is the product solving and how is that benefiting you?
Build predictive models quickly
R is wonderful
What do you like best about the product?
The best part about Rstudio is its interface which is really easy to use and read. Not to mention when it comes to graph and plot, Rstudio makes it easy to plot. Unlike the R console itself, it is hard to use without an GUI.
What do you dislike about the product?
Actually there is nothing i against Rstudio. But if i have to think of one thing. I would say its some required package that R studio cannot install
What problems is the product solving and how is that benefiting you?
Performing Data analysis, Data cleaning, building Model. The benefits is.. its free!
Recommendations to others considering the product:
RStudio is heading to a correct direction. There is really not much I can suggest but i do recommend.
RStudio for Data Analysis
What do you like best about the product?
Interactive
Easy Debugging
Auto-complete feature
friendly environment for Package Development
codes and work can be save as a project (Much organised way)
Easy Debugging
Auto-complete feature
friendly environment for Package Development
codes and work can be save as a project (Much organised way)
What do you dislike about the product?
Some time RStudio create problem in Viewing data. It does not show all the fields (reason I found that its an HTML based interface so not all feature of R works here.)
What problems is the product solving and how is that benefiting you?
RStudio is an awesome tool that can help you do your work better and faster. In technical terms, RStudio is a cross-platform integrated development environment (IDE) for the R statistical language.
Recommendations to others considering the product:
yes
R-Studio
What do you like best about the product?
Very helpful IDE for R-programming especially for newcomers to R. Highlights errors in real-time that is not available in the R software itself. Most helpful features are the R-Markdown and R-presentation that enables saving the work (source code and output) in MS Word file or a PDF and thus it is presentable to those not using the software. The project can be saved as R-presentation and can be demonstrated online on any computer by uploading the project to Rpubs.com for free. R has very helpful user community that provides useful solutions to many problems.
What do you dislike about the product?
The user needs to have a good idea of many packages to work efficiently (unlike other software such as SAS). Some of the packages cannot be downloaded directly from CRAN mirrors (on the fly using the install.packages command) or from GITHUB. These packages have to be downloaded locally and then installed before loading them. some of the figures/plots cannot be shown on R-presentation or R-HTML although these are generated on the local computers. Generating the pdf in the R-markdown needs installation of additional software (MiKTeX) not provided with R-Studio installation.
What problems is the product solving and how is that benefiting you?
I used RStudio for principal component analysis and analysis of observational data using propensity score matching in R.
Recommendations to others considering the product:
Plenty of R-packages are available and the user may need to consider various options before finalizing the analysis and visualization.
Easy to Use and Great Functionality
What do you like best about the product?
RStudio makes using R for data science a breeze. I especially love the graphs and charts that I can make using R in RStudio. I am able to preview and format multiple graphs at once and tweak them in just the right way. RStudio also makes it easy to install packages and munge through data.
What do you dislike about the product?
Not so much of a dislike as much of a preference, but I usually use Python to preprocess my data and then use R to visualize it and run algorithms. I find that preprocessing with Python is much easier.
What problems is the product solving and how is that benefiting you?
RStudio helps me to visualize my data and understand how individuals interact with my product. The graphs that come out of R make it easy to present my findings to other people in the company.
Recommendations to others considering the product:
RStudio is great for visualizing and running predictive algorithms on your data.
Great graphical and statistical software
What do you like best about the product?
Ease of use
Can code Efficiently
Help function is very useful while using new packages
Can code Efficiently
Help function is very useful while using new packages
What do you dislike about the product?
Crashes too often if loading a huge dataset or a different package
What problems is the product solving and how is that benefiting you?
Statistics and graphical usage to analyze biological data
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