# sturges.freq: Class intervals for a histogram, the rule of Sturges In agricolae: Statistical Procedures for Agricultural Research

## Description

if k=0 then classes: k = 1 + log(n,2). if k > 0, fixed nclass.

## Usage

 `1` ```sturges.freq(x,k=0) ```

## Arguments

 `x` vector `k` constant

## Value

Statistics of sturges for a histogram.

## Author(s)

Felipe de mendiburu

## References

Reza A. Hoshmand. 1988. Statistical Methods for Agricultural Sciences, Timber Press, Incorporated, pag 18-21.

`polygon.freq`, `table.freq`, `stat.freq`, `intervals.freq`, `graph.freq`, `join.freq`, `ogive.freq`, `normal.freq `

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15``` ```library(agricolae) data(natives) classes<-with(natives,sturges.freq(size)) # information of the classes breaks <- classes\$breaks breaks #startgraph # Histogram with the established classes h<-with(natives,graph.freq(size,breaks,frequency=1, col="yellow",axes=FALSE, xlim=c(0,0.12),main="",xlab="",ylab="")) axis(1,breaks,las=2) axis(2,seq(0,400,50),las=2) title(main="Histogram of frequency\nSize of the tubercule of the Oca", xlab="Size of the oca", ylab="Frequency") #endgraph ```

### Example output

``` [1] 0.0010 0.0099 0.0188 0.0277 0.0366 0.0455 0.0544 0.0633 0.0722 0.0811
[11] 0.0900 0.0989 0.1078
```

agricolae documentation built on Sept. 13, 2017, 1:03 a.m.