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)
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Ultimate tool for statistics
What do you like best about the product?
Built-in statistics functions
Quick and ease of tool usage
Quickly show up the graphs to analysis
Quick and ease of tool usage
Quickly show up the graphs to analysis
What do you dislike about the product?
Library are most the time does not loads and offeten hi errors and take s time to fix , load and use
What problems is the product solving and how is that benefiting you?
Analytics problem s
Very easy and less line of code to write and quickly analize data statistically
Very easy and less line of code to write and quickly analize data statistically
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RStudio design to handle complex data frame
What do you like best about the product?
I have been using RStudio for more than two years. I feel awesome to play with its scripts. I feel good to learn new things every time. For me using this software is the best experience as it has more and more potential to learn a new way of playing with data. This software is made to handle large data frames. It works on the way we provide the command to it. Really learning the command always makes us feel that more and more to go to find the easier method. Really I feel like playing the game of data. I am more passionate about it. I have learned its scripts from the software itself by using the package swirl. As a mathematician creating an R Markdown document to assist the students is one of the best features of this software. Free software, creating own of a project file, saving the script for further work, different packages available for different work makes it more attractive.
What do you dislike about the product?
Does not read the empty cells, spacing and unnecessary characters can be stated as constraints of this software but I don’t think it as a big deal to be addressed.
What problems is the product solving and how is that benefiting you?
I mainly use Agricolae, Tidyverse, GGplot, Multcom and Car packages to analyze the data. I feel good to design the script according to my need and the data frame. Mainly I use RStudio for DMRT calculation, finds the nature of the scatterings of the data, allocate the missing data, correlate the data, Boxplot it, and also to analyze the molecular yielding data.
Recommendations to others considering the product:
I fully recommend to all the researchers to use RStudio as it may be difficult for the beginners but later on, you cannot imagine the potentiality of the software and its packages features. it's just a wow!! Awesome!!
An amazing open source software for exploratory data analysis
What do you like best about the product?
Commands can be run line by line, which makes it convenient find errors and correct them. The program environment is friendly. Ability to save several R scripts in one project. There are many packages with readily available codes which makes programming with it super easy. graphics using packages like ggplot can generate attractive charts plots and help the users in carrying out comprehensive graphical representations. Coding language is relatively easy to learn. Can generate data analysis reports easily with r mark down files. can easily access objects in the interactive environment.
What do you dislike about the product?
It is relatively slow when running programs and optimizations for large data sets. Being an open source software anyone can develop packages and upload , hence the algorithms in different packages may need to be run differently.
What problems is the product solving and how is that benefiting you?
I do time series analysis. Especially for econometric data. The package Quandl is heavily used. The best benefit is the ability to download econometric time series data easily and fast. It is free. Also, downloading procedure is very simple hence it saves a lot of time.
I also use simulation studies with RStudio. generating random numbers , density functions of various probability distributions is easy. Can create multi dimensional arrays to store data, and also, can export data, tables to text documents such as LaTeX easily.
I also use simulation studies with RStudio. generating random numbers , density functions of various probability distributions is easy. Can create multi dimensional arrays to store data, and also, can export data, tables to text documents such as LaTeX easily.
Best tool to work on machine learning/data science for beginners
What do you like best about the product?
Easy coding and many in built packages to work around most of the problems
What do you dislike about the product?
Some functionalities are better in python than in R
What problems is the product solving and how is that benefiting you?
Classification, regression, timeseries
Best software for data analysis.
What do you like best about the product?
Easy to learn even for a beginner.Many inbuilt packages are available for most of the tasks.data visualization features are great.
What do you dislike about the product?
Can not run 2 codes simultaneously. Without basic statistics knowledge difficult to use.
What problems is the product solving and how is that benefiting you?
Statistical inference through data analysis. Easy to create documents and interpret the results
Recommendations to others considering the product:
Have at least a basic statistical knowledge when using this software.You need to have the capability of interpreting the results.simple coding error can make a huge impact on the results.
Must for statistical computing
What do you like best about the product?
Frequent updates and user friendly interface
What do you dislike about the product?
nothing at all. May be little bit of features from other popular IDEs
What problems is the product solving and how is that benefiting you?
almost every statistical analyses
Recommendations to others considering the product:
If you want to do R coding then RStudio is a must
Great tool for custom and batch data analysis
What do you like best about the product?
Writing batch codes to analyse large amaounts of similar data.
What do you dislike about the product?
The limited calculation speed for larger and complex data analysis.
What problems is the product solving and how is that benefiting you?
Batch analysis of laser scan data and automated deriving of key indicators of laser scans, analysis of multidimensional point clouds, spatial data analysis.
Recommendations to others considering the product:
Due to the great community, learning R is dooable without being a dedicated programmer (if you have a general knowledge about how software and code works). Almost every problem that you could encounter has already been solved by the active community. When implementing R, this is a big help.
Statistical Analysis with Rstudio
What do you like best about the product?
Rstudio has an exceptional interface and a large community around it. It also has great tools for data visualization and software development. Rstudio also provides educational resources for academic and technical development.
What do you dislike about the product?
Switching from an obsolete version to a newer one may be a pain given the fact that you have to re-download packages.
What problems is the product solving and how is that benefiting you?
Statistical modeling, data visualization, machine learning and software development. The ability to do all these on one platform is really cool.
Recommendations to others considering the product:
If you are newcomer, take lessons free MOOC courses. Attend workshops and other coding classes. Most importantly, learn by using Rstudio to solve problems modeling problems.
The best tool to start learning and working with R language
What do you like best about the product?
The interface is very friendly, both the console, the script and the environment where you can see your dataset. I started learning R with RStudio and it helps a lot because you can find the packages documentation in the help section of RStudio. You can also write your code in different formats and languages (C++, Python...).
What do you dislike about the product?
Visualizations need a lot of personalization if you want them looking beautiful.
What problems is the product solving and how is that benefiting you?
Have a very stable software and interface to write my code and applying machine learning algorithms to my data.
Recommendations to others considering the product:
Very useful to analyze thousands of rows with your data.
great crowdsourced program for ecological data analysis
What do you like best about the product?
easy to carry simple functions like regression and PCA
What do you dislike about the product?
hard to learn to visualize data; a GUI for figures would be helpful
What problems is the product solving and how is that benefiting you?
data analysis
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