PLEASE SOLVE USING RSTUDIO

The effective channel length $($in microns$)$ is measured for $1225$ field effect transistors. The data is

recorded in CA$4\_$Transistor.csv$.$ Use kernel density estimation to find a suitable density estimate

for these data.

$($a$)$ First, generate a density histogram for the length data. Use freq$=$FALSE and breaks$=16.$

$($b$)$ Then, examine various bandwidths to identify a suitable value $($using the Gaussian kernel$).$

Justify your choice in writing.

$($c$)$ Examine various kernels to identify a suitable one. Ensure that you also try some of the kernel

options that were not discussed in class. Justify your choice in writing.

$($d$)$ Superimpose the chosen density function on the histogram generated in $($a$).$

$($e$)$ Overlay a parametric density estimate assuming a Gaussian distribution and comment on its

limitations for these data.The effective channel length $($in microns$)$ is measured for $1225$ field effect transistors. The data is

recorded in CA$4$ Transistor.csv$.$ Use kernel density estimation to find a suitable density estimate

for these data.

$($a$)$ First, generate a density histogram for the length data. Use freq$=$FALSE and breaks$=16.$

$($b$)$ Then, examine various bandwidths to identify a suitable value $($using the Gaussian kernel$).$

Justify your choice in writing.

$($c$)$ Examine various kernels to identify a suitable one. Ensure that you also try some of the kernel

options that were not discussed in class. Justify your choice in writing.

$($d$)$ Superimpose the chosen density function on the histogram generated in $($a$).$

$($e$)$ Overlay a parametric density estimate assuming a Gaussian distribution and comment on its

limitations for these data.

PLEASE SOLVE USING RSTUDIO