Assigment8.Rmd

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title: "Assigment8"
output: html_document
---

Data Manipulition
The apply() functions form the basis of more complex combinations and helps to perform operations with very few lines of code. More specifically, the family is made up of the 
* apply()

* lapply()

* sapply()

* tapply() 

* by functions.

# How To Use apply() in R

Let’s start with the apply(), which operates on arrays.

The R base manual tells you that it’s called as follows: apply(X, MARGIN, FUNCTION)

where:
* X is an array or a matrix if the dimension of the array is 2;

* MARGIN is a variable defining how the function is applied,
when

* MARGIN=1, it applies over rows,
```{r}
m<-matrix(c(1,2,3,4),2,2)
m 
apply(m,1,sum)
apply(m,2,sum)
apply(m,1,mean)
apply(m,2,mean)

```

whereas with

* MARGIN=2, it works over columns.

* FUNCTION which is the function that you want to apply to the data. It can be any R function, including a User Defined Function (UDF).

# By this command you can  use Apply() function.
 
#The lapply() Function

You want to apply a given function to every element of a list and obtain a list as result. When you execute ?lapply, you see that the syntax looks like the apply() function.