Posit Workbench x86_64 AMI (DEPRECATED)
Posit (Legacy- see link for latest) | 2023.12.1Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
Reviews from AWS Marketplace
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
External reviews are not included in the AWS star rating for the product.
Novice user of RStudio for data anlaytics
What do you like best about the product?
I like the compact and simple design and the fact that it reminds me of other scientific software that I used in the past (e.g. Matlab).
What do you dislike about the product?
I dislike the fact that user interface options are not available (e.g. skins).
What problems is the product solving and how is that benefiting you?
I am a novice user of RStudio. I have used it mainly to familiarize myself with R in Windows 7 and Ubuntu environments.
Recommendations to others considering the product:
De facto standard for R language.
- Leave a Comment |
- Mark review as helpful
RStudio is a very useful tool for statistical calculations.
What do you like best about the product?
It's very expandable, has a lot of extensions, best IDE for R language.
What do you dislike about the product?
Sometimes it works very slow and needs to be more optimized.
What problems is the product solving and how is that benefiting you?
it's very stable and provides excellent tools for data analysis and visualization
Recommendations to others considering the product:
It's free!
Use it regularly for my analytics needs
What do you like best about the product?
R-Studio provides users with a complete data recovery software with undelete capabilities. Initially developed for data recovery experts, data specialists, IT professionals, and system administrators, R-Studio Data Recovery software is clearly built for advanced and experienced computer users. The software may be a bit confusing for the less experienced users but it also comes with a step by step wizard to help simplify the learning and implementation process.
What do you dislike about the product?
1. Hard to change the size of the windows automatically. E.g. When I use SAS I have the keys set up so that one key runs the analysis, goes to the log window and zooms it to the full screen. AFAIK, in RStudio you have to use the mouse to do this.
2. Use of projects is kind of complex.
3. Some key combinations that are nearly universally used for one thing are used for something else in RStudio e.g. ctrl+R doesn't open a find and replace, it adds a line
2. Use of projects is kind of complex.
3. Some key combinations that are nearly universally used for one thing are used for something else in RStudio e.g. ctrl+R doesn't open a find and replace, it adds a line
What problems is the product solving and how is that benefiting you?
Machine learning, predictive analytics
Best Data Analytics Freeware
What do you like best about the product?
RStudio is the best Freeware tool for statistical computing and data analytics.
What do you dislike about the product?
More features can be added for more graphical chart.
What problems is the product solving and how is that benefiting you?
Forecast
A complete game changer
What do you like best about the product?
RStudio has been a complete game changer for me at work. Not only does it provide a slick interface for utilizing the R programming language, it makes implementing new packages and combining multiple programming languages simple and efficient. The Help tab save a great deal of time that would otherwise be spent on Google. The Plots tab makes exporting plots quick and versatile. Personally, I could go on for a long time on how great this product is. Shout out to the Monokai theme; it makes coding a dream.
What do you dislike about the product?
There are some issue with saving plots and their size and scale. I can program a plot to have a specific scale, but open it in the Plots tab differently and the saved file changes. Especially when I put multiple plots onto the same image there are scale issues. I have spent more time than I would like to admit adjusting scales.
What problems is the product solving and how is that benefiting you?
I complete probably 85%-90% of my work with RStudio. We run off an IBM AS400 server and I constantly pull and manipulate data through an ODBC connection using SQL queries and then dump the data into Excel. Data wrangling that would take literal days in Excel take mere seconds once a program is written. We recently updated our accounting software and we had to verify that our data transferred correctly. The accountants would have had to check hundreds of thousands of lines of data manually over the course of days (in at least 3 different stages), but I was able to complete the whole process in a few hours (coding, formatting, and running scripts combined). Highly powerful.
Recommendations to others considering the product:
Check out the documentation and Stack Overflow with questions. This GUI is highly powerful and worth the time to acclimate to. I would also recommend the theme "Monokai," which is a dark theme. It makes the coding softer on the eyes.
Needs some programming knowledge but worth it
What do you like best about the product?
R is really good in terms of working with complex graphs. Packages like igraph and sna are great for working with social networks data and are fairly easy to use. Lots of packages are developed by users for specific purposes not already provided by RStudio and that are generally useful.
What do you dislike about the product?
Often difficult to work with, needs decent programming skills. Programs developed by users often have bugs
What problems is the product solving and how is that benefiting you?
social network analysis, regression analysis, data visualization
R studio use for productionalizaing Data science projects
What do you like best about the product?
R studio as a very easy learning curve,it takes less than a week to become operational.Installation of tool is simple and installation packages are available for various platforms
What do you dislike about the product?
UI for R studio inst that mature enough as of version 1.00 Studio which i use.PAckage maintaince and tracebility is not that efficient
What problems is the product solving and how is that benefiting you?
I am levering R studio to solve Healthcare problems.Easy of learning and wide community network has made me produce results in this tool reaaly quickly and efficiently
Recommendations to others considering the product:
A good tool to try learning Machine learning
Wonderful experience with the tool
What do you like best about the product?
The tool can be used to perform the Machine learning, predictive analytics, and data mining tasks at ease. It supports various additional add-ons which makes development process simple.
What do you dislike about the product?
The tool has been out in the industry for a long time but there is no proper support for it. It would be great if there is a better documentation.
What problems is the product solving and how is that benefiting you?
Machine learning, predictive analytics, and Data mining
Recommendations to others considering the product:
Great tool to work with when using predictive analytics. Just go with it.
LOVE RSTUDIO
What do you like best about the product?
This shell makes it so much easier to use R, rendering it more user friendly and less error prone!
What do you dislike about the product?
Doesn't have all the features that I want. Saving files and various components of the workspace is especially non-intuitive or tricky at times
What problems is the product solving and how is that benefiting you?
Makes using R to do data analytics much easier.
Recommendations to others considering the product:
Would definitely recommend using this for data work! It's very big in the field and I believe is only going to get bigger.
Best statistical software
What do you like best about the product?
It's free and comprehensive. Staticians' lingua franca.
What do you dislike about the product?
Steep learning curve. Poor documentation.
What problems is the product solving and how is that benefiting you?
Predictive models.
showing 381 - 390