fdth: make.fdt – R documentation

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make.fdt

Frequency distribution table for continuous and categorical variables

Description

Makes a full fdt from a minimal set of information.
Useful to reproduce (when the real data vector is not known) a previous fdt.

Usage

make.fdt(f,
         start,
         end,
         right=FALSE)

make.fdt_cat(f,
             categories=NULL,
             sort=TRUE,
             decreasing=TRUE)

Arguments

`f`	A numeric `vector` object of frequency.
`start`	The left value of the interval of the first class.
`end`	The last value of the interval of the last class.
`right`	Intervals right open (default = `FALSE`).
`categories`	The levels of the categorical variable.
`sort`	The levels of the categorical variable will be ordered by frequency. The default is `TRUE`.
`decreasing`	If sort argument is `TRUE`, the order will be decreasing by default.

Details

Given the starting and ending values of the continuous variable table or the levels of the categorical variable plus the number of intervals and the absolute frequency values the functions make.fdt and make.fdt_cat reconstruct whole fdt or fdt_cat table.

Value

The function make.fdt returns a list with the slots:

`table`	A `data.frame` storing the fdt.
`breaks`	A `vector` of length 4 storing start, end, h and right of the fdt generated by this method.

The function make.fdt_cat returns a list whith the slots:

`Category`	The levels of the categorical variable.
`f`	Absolute frequency, `numeric`
`rf`	Relative frequency, `numeric`
`rf(%)`	Relative frequency in percentages, `numeric`
`cf`	Cumulative frequency; `numeric`
`cf(%)`	Cumulative frequency in percentages, `numeric`

Author(s)

José Cláudio Faria
Enio G. Jelihovschi
Ivan B. Allaman

Examples

## Numeric
## Making one reference fdt
set.seed(33)
x <- rnorm(1e3, 
           20, 
           2)

(tb.r <- fdt(x))

## Making a brand new
(tb.n  <- make.fdt(f=tb.r$table$f,
                   start=13.711,
                   end=27.229))   # Huumm ..., good, but ... Can it be better? 

summary(tb.n,
        format=TRUE,
        pattern='%.3f')           # Is it nice now?


## Categorical
x <- sample(letters[1:5], 
            1e3, 
            rep=TRUE)

## Making one reference fdt
(tb.r <- fdt_cat(x))

## Making a brand new
(tb.n <- make.fdt_cat(f=tb.r$f,
                      categ=tb.r$Category))

fdth

Frequency Distribution Tables, Histograms and Polygons

v1.2-5

GPL (>= 2)

Authors

Jos<e9> Cl<e1>udio Faria, Enio G. Jelihovschi and Ivan B. Allaman

Initial release

2020-04-17