Create a function in R having these input and outputs

I want to create a function in R which summarize a vector of numbers into a dataframe representing a frequency table with k classes.

The Input are:

• x : a vector of numeric data of any length
• k : an integer greater than 1 that represents the number of equal width classes dividing the support of x

The outputs are:

• DF: a dataframe with three columns: min bound, max bound and frequency and k rows
• d_m : numeric value indicating the mean of the input data
• d_sd : numeric value indicating the standard deviation of the input data
• m_error : a numeric value indicating the difference between d_m and d_s
• df_m : numeric value indicating the mean computed through the tabled data
• df_sd : numeric value indicating the standard deviation computed through the tabled data
• sd_err: numeric value indicating the difference between d_sd and df_sd

I’m using R so the function follow the syntax:

namefunction <- function(...){...}

Thank you in advance guys for any sort of help !

>Solution :

Dividing the support into equal width fields and counting the data in those, that is called a histogram and you could try to use the hist function for that.

The mean of some data can be computed via the mean command and the standard deviation via sd.

x_bsp <- rnorm(100)


namefunction <- function(x, k){
    h <- hist(x_bsp, breaks = k, plot = FALSE)
    return(h)
}

namefunction(x_bsp, 5)

might be a start. Does any of this help to produce a more focused question?