SAS means statistical analysis system. Nowadays the SAS has become one of the key choices of every business. That's why it's becoming the market leader in the commercial analytics space.
The SAS offers a variety of functions with a superb UI. These features help individuals learn the software at a faster pace.
Besides, individuals also get technical support whenever required. The SAS is a bit expensive and it does not provide the latest and most effective statistical functions.
R: R is an open source programming language. It was developed by researchers. That is why most of the professors and researchers are using R.
The best part of R is that it is an open source programming language. Due to its open-source nature, all the latest technologies are released immediately with R.
This language holds lots of documents with the community to help its users whenever they have problems using R.
But most large enterprises are using this software. That's why it maintains a larger market share than R. In other words, the SAS is not for the individual, but for the organization.
On the other hand, R is an open source software. So anyone can download it and make use of it by paying any fee. The price between SAS versus R is a big worry.
These tutorials are very helpful in understanding SAS software. In addition, it also provides full user manuals whenever you buy the software.
On the other hand, R is a difficult programming language. It is quite difficult to use the R programming language for R.
A lot of efforts and dedication are required to master the R programming language. R is a low-level programming language, so it needs to write a long code in it.
The development process of the SAS is now intensifying. On the other hand, the r used by some professors in the past. The best part of the SAS upgrades is that all its latest features have been analyzed in the management environment.
R on the other hand, there are not well-analyzed features when we receive the latest update of R, in fact, R provides an open source community where programmers and researchers make their contribution to improving R.
Anyone can submit their program and contribute to developing RK libraries. In this way, the most advanced cutting edge technology is always released in R. With the help of individual efforts, Cran is conducting more than 15000 events.
Also, there are some of the most advanced technologies like GMLET, ADABoost RF can only be accessible with R. Also you can get some experimental programs by using R. Some of the most powerful data miners also use R to build their model.
On the other hand, SAS is paid software with technical support. SAS is used in many mission duties, where other techniques are not already ready for crawling.
All the latest developments and new statistical techniques are always checked before the release of new software.
On the other hand, the SAS software provides dedicated customer care support with the community. They can ask for help for technical assistance whenever the user comes to a problem with the SAS software.
On the other hand, if they want to stay updated with software features and new releases. Then they can ask in the community itself.
The SAS offers a variety of functions with a superb UI. These features help individuals learn the software at a faster pace.
Besides, individuals also get technical support whenever required. The SAS is a bit expensive and it does not provide the latest and most effective statistical functions.
R: R is an open source programming language. It was developed by researchers. That is why most of the professors and researchers are using R.
The best part of R is that it is an open source programming language. Due to its open-source nature, all the latest technologies are released immediately with R.
This language holds lots of documents with the community to help its users whenever they have problems using R.
SAS vs R
1.Availability / Price
As I have already mentioned that the SAS is commercial software, is not an open source. This is one of the most expensive statistical software. Most professionals are not able to purchase SAS.But most large enterprises are using this software. That's why it maintains a larger market share than R. In other words, the SAS is not for the individual, but for the organization.
On the other hand, R is an open source software. So anyone can download it and make use of it by paying any fee. The price between SAS versus R is a big worry.
2. Ease of learning
SAS is easy for anyone to learn whether it is professional or beginners. Basically, the SAS works on the PROC SQL that can be easily understood by individuals who already understand SQL. Also, the SAS offers users lots of UI as well as lots of tutorials.These tutorials are very helpful in understanding SAS software. In addition, it also provides full user manuals whenever you buy the software.
On the other hand, R is a difficult programming language. It is quite difficult to use the R programming language for R.
A lot of efforts and dedication are required to master the R programming language. R is a low-level programming language, so it needs to write a long code in it.
3. Progress in the application
R is an open source programming language, which is why it always meets the latest features faster than the SAS. On the other hand, the SAS offers the latest features in the new update.The development process of the SAS is now intensifying. On the other hand, the r used by some professors in the past. The best part of the SAS upgrades is that all its latest features have been analyzed in the management environment.
R on the other hand, there are not well-analyzed features when we receive the latest update of R, in fact, R provides an open source community where programmers and researchers make their contribution to improving R.
4. Statistical Capacity
Nowadays the SAS program and the SAS Stat pack have a strong pack. In addition, it covers virtually exhaustive techniques and statistical evaluations. On the other hand, R is an open source programming language.Anyone can submit their program and contribute to developing RK libraries. In this way, the most advanced cutting edge technology is always released in R. With the help of individual efforts, Cran is conducting more than 15000 events.
Also, there are some of the most advanced technologies like GMLET, ADABoost RF can only be accessible with R. Also you can get some experimental programs by using R. Some of the most powerful data miners also use R to build their model.
On the other hand, SAS is paid software with technical support. SAS is used in many mission duties, where other techniques are not already ready for crawling.
All the latest developments and new statistical techniques are always checked before the release of new software.
5. Customer care support & community:
R is known for its largest online community. R is an open source language, which is not due to customer care support. If the user comes to a problem with R, he or she can seek help in the R community.On the other hand, the SAS software provides dedicated customer care support with the community. They can ask for help for technical assistance whenever the user comes to a problem with the SAS software.
On the other hand, if they want to stay updated with software features and new releases. Then they can ask in the community itself.
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