Tutorial R: Basic Arguments in R Programming - Asia B Technology

Tutorial R: Basic Arguments in R Programming

programming in r

Under certain conditions, users of the assisted sense of data analysis generally require a standard method. The non-standard method requires users to be able to write their own events and functions that they need. R makes it easy for users to be able to write their own programs they need. The easy-to-learn R event syntax makes R one of the most powerful programming languages for performing analysis based on simple to complex.

In this article will be explained the basic arguments on R programming to be the foundation on creating custom programs that might be expected. This article uses RStudio as an environment to facilitate the process of creating events. Understanding and installation stage of RStudio can be reviewed in the following article: Tutorial R : RStudio becomes an IDE that Facilitates A. If … Else

The use of If … Else is done when we want a function / program to be run if an exclusive condition occurs. Here is the model of using If… Else. Copy-Paste the following code into RStudio-Console or RStudio-Script and run.year = 2012if (year %% 4 == 0) paint(“year”,year,”is leap year”)else print(“year”,year,”is not a leap year”)

Results:2012 is a leap year

In the example above, suppose you want to find out if the year inputted is a leap year (the number of years that are divisible by 4).The logic in the argument above is:If the year variable is divided (modulo) 4, then it is written that year is a leap year.If anything else, then written that year is not a leap year.

Here’s an explanation of each line:year = 2012 (input year to know)if (year %% 4 == 0) paint(“year”,year,”is leap year”) (condition when fulfilled)else print(“year”,year,”is not a leap year”) (the condition when the non-life is fulfilled)B. Looping For

The use of For looping is carried out when the process of looping a condition is carried out until in the replay that has been affected. Here’s the model of using Loop For. Copy-Paste the following code into the RStudio-Console or RStudio-Script then Run.s=c()for(i in 1:100)s[i]=i*10 s

Result[1]   10   20   30   40   50   60   70   80   90  100  110  120  130  140  150[16]  160  170  180  190  200  210  220  230  240  250  260  270  280  290  300[31]  310  320  330  340  350  360  370  380  390  400  410  420  430  440  450[46]  460  470  480  490  500  510  520  530  540  550  560  570  580  590  600[61]  610  620  630  640  650  660  670  680  690  700  710  720  730  740  750[76]  760  770  780  790  800  810  820  830  840  850  860  870  880  890  900[91]  910  920  930  940  950  960  970  980  990 1000

In the example above, suppose you want to loop 100 times (make numbers 1 to 100). With each iteration number multiplied by 10. Then this process will make a number of tens of 100 starting based on 10 to 1000.

Here’s an explanation of each line:s=c() (provides an empty variable s to be filled with iteration output)for(i in 1:100) (entering looping commands 100 times)s[i]=i*10 (states variable s is multiplication of number 10 by 1-100)s (calling the variable s that already contains iteration output & multiplication)C. Temporary Loop

The use of While iterations is carried out when the looping process is carried out until an exclusive condition is met. Here’s the model of using Temporary Loops. Copy-Paste the following code into the RStudio-Console or RStudio-Script then Run.z=0while(z < 100)z=z+10print(z)

Result:[1] 10[1] 20[1] 30[1] 40[1] 50[1] 60[1] 70[1] 80[1] 90[1] 100

In the example above, suppose you want to repeat on the condition that the replay will permanently last until the value of z does not exceed 100. With eachz number on each loop plus using 10, where the first z value is defined as programming r sema with 0 (zero).Here’s an explanation of each line:z=0 (defining the initial z value of 0 (zero))while(z < 100) (selecting the terms of the loop)z=z+10 (states that each new z variable that appears plus 10)print(z)(displays the number z each repeat)

Thus, the three basic arguments in Tutorial R: Basic Arguments in R Programming. Still poly other basic arguments that can facilitate the process of preparing functions / events for data analysis in R. On other occasions will be discussed about other arguments in R Programming. May this article be useful and do not hesitate to leave comments in the comments column.

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