編程語言優缺點_R編程語言的優缺點

編程語言優缺點

In general, the R programming language is considered as the machine learning language. This is widely employed in the applications where the data analysis, visualization, and the sampling process are involved. The R programming language is taken as the free program and is, of course, an open-source program too. The R program is extensively used in various applications since it endorses the multiple platforms that may run on several operating systems. The R programming language is largely suitable for the statistical calculations and also helps in creating the functions that are associated with the mathematical analysis. Of course, a programming language is something that evolves continuously and undergoes various changes as time passes and the requirements of the people vary. In this particular article let us concentrate on the various pros and cons of the R language. As of now, the R language is encountering several challenges and thus in the future, most of the cons will turn to eliminate, and finally, the R language will be seen as the superior in the coding world.

通常， R編程語言被視為機器學習語言。這在涉及數據分析，可視化和采樣過程的應用程序中被廣泛采用。 R編程語言被視為免費程序，并且當然也是開放源代碼程序。 R程序認可可以在多個操作系統上運行的多個平臺，因此它在各種應用程序中得到了廣泛使用。 R編程語言非常適合統計計算，還有助于創建與數學分析關聯的函數。當然，編程語言是不斷發展的，并且隨著時間的流逝和人們的需求的變化而發生各種變化。在這篇特別的文章中，讓我們集中討論R語言的各種優缺點。到目前為止，R語言正面臨一些挑戰，因此在將來，大多數弊端都將消除，最后，R語言將被視為編碼世界中的佼佼者。

Coming to the pros section the R programming language has the following advantages over the other programming languages.

相對于其他編程語言，R編程語言在優點部分中具有以下優點。

R語言的優點 (Pros of R Language)

1)非常容易編碼 (1) Extremely easy to code)

由于R語言非常易于編碼，因此R語言廣泛用于多種應用程序中。通常，用戶在系統中R語言的安裝過程和配置過程中會感到非常自在。因此，由于R編程語言提供的用戶友好平臺，程序員將此特殊語言視為他們的最愛。

2)與其他編程語言集成 (2) Integration with the other programming languages)

R allows the users or the programmers to incorporate the R language with the other programming languages like C, C++, Python, and Java. Also for this purpose, the users can use various data sources to accomplish this purpose.

R允許用戶或程序員將R語言與其他編程語言(例如C ， C ++ ， Python和Java)結合在一起。同樣出于此目的，用戶可以使用各種數據源來實現此目的。

3)有效的統計工具 (3) Effective Statistical Tool)

The R language is considered as one of the most extensive and effective mechanisms that enable the programmers to work practically on the Statistical details. It is used in the statistical computations and in the analysis part.

R語言被認為是使程序員能夠實際處理統計細節的最廣泛和有效的機制之一。它用于統計計算和分析部分。

4)開源程序 (4) Open-source program)

The team of R enabled the users to feel comfortable while working on the R platform. Also, the R language can be easily downloaded and installed on any PC of an individual.

R團隊使用戶在R平臺上工作時感到舒適。同樣，R語言可以輕松下載并安裝在個人的任何PC上。

5)強大 (5) Powerful)

The R language is encompassed with multiple techniques that provide the users with a relaxed environment where they can code and bring the result practically to any problem. This particular tool is widely employed for the sampling process, data analysis, and visualization. However, the R language must be appreciated as it contains several techniques involved in it where they are used in dealing with the analysis of the statistical data.

R語言包含多種技術，可為用戶提供一個寬松的環境，使他們可以進行編碼并將結果實際帶到任何問題。該特定工具廣泛用于采樣過程，數據分析和可視化。但是，必須贊賞R語言，因為R語言包含其中涉及的幾種技術，這些技術用于處理統計數據的分析。

6)最先進的 (6) State of the art)

The R language is always well seen as a treasure as it contains the various procedures involved in it that eventually assist the users in developing the best algorithms for given real-time problems. Initially, the programmers can use the R for developing satisfactory algorithms for the problems and then later these algorithms can be run on various operating systems for better results. Actually, once the algorithms are ready then the programmers make those algorithms into inbuilt packages in the R language. Thus one can easily access these packages in the R environment when compared to the other programming languages.

R語言始終被視為寶藏，因為它包含其中涉及的各種過程，最終可以幫助用戶針對給定的實時問題開發最佳算法。最初，程序員可以使用R來開發令人滿意的算法來解決這些問題，然后這些算法可以在各種操作系統上運行以獲得更好的結果。實際上，一旦算法準備就緒，程序員就可以使用R語言將這些算法放入內置包中。因此，與其他編程語言相比，您可以在R環境中輕松訪問這些軟件包。

7)跨平臺 (7) Cross-platform)

Often the programmers who work on the R confess that the R enables them with a comfortable platform to work upon. Also, many programmers say that the R language is the platform-independent as it works in every other version like GNU/Linux or in Windows i.e., irrespective of the type of the operating system the R language gives the same consistent results.

通常，使用R的程序員都承認R使他們能夠使用一個舒適的平臺來工作。而且，許多程序員都說R語言是平臺無關的，因為它可以在其他所有版本(如GNU / Linux或Windows)中使用，即，不管操作系統的類型如何，R語言都能提供相同的一致結果。

8)開放修改 (8) Open for modifications)

The team of the R language is quite more kind as they give the opportunity to every programmer to fix the bugs if possible, also they can include various other packages that will make the users more pleased to work with R. Everyone is welcome to create a new code or enhance the code of the existing packages in order to boost the functionality of the R compiler.

R語言團隊非常友善，因為他們盡可能地給每個程序員一個修復錯誤的機會，他們還可以包括其他各種軟件包，這些軟件包將使用戶更加樂于使用R。歡迎大家創建一個新代碼或增強現有軟件包的代碼，以增強R編譯器的功能。

9)多個庫 (9) Multiple libraries)

Programmers who work with the R environment are more satisfied with the inbuilt options or functions and other attributes available in it. In addition to that one can also find several sources in the corresponding webpages and can easily develop algorithms for their problems. The different libraries available here in the R language assist the programmers in coming up with the best solution to real-time problems.

使用R環境的程序員對其中的內置選項或功能以及其他可用屬性更加滿意。除此之外，還可以在相應的網頁中找到多個資源，并且可以輕松地開發出解決這些問題的算法。使用R語言在這里可用的不同庫可幫助程序員提出針對實時問題的最佳解決方案。

Now it's the time to learn about the various cons available in the R programming language.

現在是時候學習R編程語言中可用的各種缺點了。

R語言的缺點 (Cons of R Language)

1)算法一致性差 (1) Little consistency in the algorithms)

The users encounter a situation where they face problems while working with the existing algorithms that are written in other packages. In this, the programmers will trouble themselves while working with the existing algorithms and in the process of trying to bind them to their current programs. Also one may determine the inconsistency available in the software also because of this reason.

用戶在使用其他程序包中編寫的現有算法時會遇到問題。這樣，程序員在使用現有算法并試圖將其綁定到當前程序的過程中會遇到麻煩。也由于這個原因，可以確定軟件中可用的不一致。

2)耗時 (2) Time-consuming)

In case if the user wishes to utilize the existing codes which are in the packages then he or she needs to spend more time thinking about the ways how these existing codes will fit their problem perfectly. Thus all this procedure kills the time and that may bring loss to the users who work upon this.

如果用戶希望利用包裝中的現有代碼，則他或她需要花更多的時間考慮這些現有代碼如何完美地解決他們的問題。因此，所有這些過程會浪費時間，并可能給從事此工作的用戶帶來損失。

3)分散包裝 (3) Decentralized packages)

We all are acquainted with the fact that the algorithms are associated with multiple numbers of packages. Hence this will create a problem for the users while working with a project. This is because the programmers may get perplexed about the exact position of algorithms i.e., which package consists of this particular algorithm that he or she wants to use in their program.

我們都熟悉算法與多個軟件包相關聯的事實。因此，這將給用戶在處理項目時帶來問題。這是因為程序員可能對算法的確切位置感到困惑，即哪個程序包由他或她想在其程序中使用的特定算法組成。

4)不完整的文件 (4) Incomplete documentation)

The documentation which is generally present in the algorithms is of course partially incomplete. Moreover, there will not be any practical examples that demonstrate the usage of the existing algorithms on the canonical problems available to the users.

當然，算法中通常存在的文檔部分不完整。而且，將沒有任何實際的例子來說明現有算法對用戶可用的規范問題的使用。

5)算法的復雜性 (5) The complexity of algorithms)

One will face the issues when he or she needs to work with the algorithms that are already available to them beforehand. But the problem pertains when they need to bind the existing codes with the new ones. Because the complexity of the codes change when there is a change in the packages, that means as the packages are changed then the complexity of the codes or algorithms written in them vary respectively.

當他或她需要使用事先已可用的算法時，就會面臨這些問題。但是問題出在他們需要將現有代碼與新代碼綁定時。因為代碼的復雜性會隨著軟件包的更改而變化，這意味著隨著軟件包的更改，代碼或寫入其中的算法的復雜性也會隨之變化。

6)精通語言： (6) Recapturing of intensive language:)

One of the major disadvantages of working with the R is that it consumes a lot of memory of the system. Because of this reason generally, the R language is treated as the memory dependent and thus it inundates all the accessible memory space in the space. In addition to the above-stated point, there is one more thing to be noted regarding the R programming language. The commands that are used in the R language may influence the memory administration operation that is available in every system.

使用R的主要缺點之一是它占用了大量系統內存。由于這個原因，通常將R語言視為依賴于內存的語言，因此它將淹沒該空間中的所有可訪問內存空間。除了上述要點外，還有一些關于R編程語言的注意事項。使用R語言使用的命令可能會影響每個系統中可用的內存管理操作。

7)原住民R比其主要競爭對手遲鈍 (7) Aboriginal R is sluggish than its central competitor)

Every programmer who works on the R environment mainly complains about a single issue. The prime demerit of using the R language is whatever the packages written in the R programming language are more sluggish than the codes written in the Matlab or other programming languages like Python.

每個在R環境中工作的程序員都主要抱怨一個問題。使用R語言的主要缺點是，用R編程語言編寫的軟件包比用Matlab或其他編程語言(如Python)編寫的代碼更慢。

8)巧妙的編程語言 (8) Ingenious programming language)

The R programming language is very flexible. Therefore the programmers need to be very careful while working with the codes. If they tend to lose their control over the codes they have written then the codes may turn complex and ultimately make the programmers suffer because of them.

R編程語言非常靈活。因此，程序員在使用代碼時需要非常小心。如果他們傾向于失去對所編寫代碼的控制，那么這些代碼可能會變得復雜，最終使程序員因此而受苦。

The above points have completely dealt with both sides of using the R language. Since the world is experiencing various changes in terms of the advancements and further inventions, this in due course of time the cons will turn themselves into pros after keen observation and research on the R language.

以上幾點已完全涉及使用R語言的兩面。由于世界在進步和進一步發明方面正在經歷各種變化，因此在對R語言進行了敏銳的觀察和研究之后，隨著時間的流逝，缺點將變成利弊。