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Getting Kernel Density Estimates in R Programming – density() Function

`density()` function in R Language is used to compute kernel density estimates.

Syntax: density(x)

Parameters:
x: number vector

Example 1:

 `# R program to illustrate``# density function`` ` `# Generating 10 numbers randomly``x <``-` `stats::rnorm(``10``)`` ` `# Getting 10 random number``x`` ` `# Calling density() function``d <``-` `density(x)`` ` `# Getting kernel density estimates``d`

Output:

``` [1] -0.89243190 -0.76257379  1.17066825  0.09418077  1.08321504 -0.41264708
[7]  0.39009942  0.69991113 -0.82339069 -0.68621705

Call:
density.default(x = x)

Data: x (10 obs.);    Bandwidth 'bw' = 0.4594

x                 y
Min.   :-2.2706   Min.   :0.001546
1st Qu.:-1.0657   1st Qu.:0.047506
Median : 0.1391   Median :0.243764
Mean   : 0.1391   Mean   :0.207189
3rd Qu.: 1.3440   3rd Qu.:0.312477
Max.   : 2.5488   Max.   :0.434704
```

Example 2:

 `# R program to illustrate``# density function`` ` `# Generating number 1 to 10 ``x <``-` `seq(``1``, ``10``) ``x`` ` `# Calling density() function``d <``-` `density(x)`` ` `# Getting kernel density estimates``d`

Output:

``` [1]  1  2  3  4  5  6  7  8  9 10

Call:
density.default(x = x)

Data: x (10 obs.);    Bandwidth 'bw' = 1.719

x                 y
Min.   :-4.1579   Min.   :0.0003034
1st Qu.: 0.6711   1st Qu.:0.0092711
Median : 5.5000   Median :0.0538486
Mean   : 5.5000   Mean   :0.0517052
3rd Qu.:10.3289   3rd Qu.:0.0936045
Max.   :15.1579   Max.   :0.0997741
```
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