# graph.freq: Histogram In agricolae: Statistical Procedures for Agricultural Research

## Description

In many situations it has intervals of class defined with its respective frequencies. By means of this function, the graphic of frequency is obtained and it is possible to superpose the normal distribution, polygon of frequency, Ojiva and to construct the table of complete frequency.

## Usage

 ```1 2``` ```graph.freq(x, breaks=NULL,counts=NULL,frequency=1, plot=TRUE, nclass=NULL, xlab="",ylab="",axes = "",las=1,...) ```

## Arguments

 `x` a vector of values, a object hist(), graph.freq() `counts` frequency and x is class intervals `breaks` a vector giving the breakpoints between histogram cells `frequency` 1=counts, 2=relative, 3=density `plot` logic `nclass` number of classes `xlab` x labels `ylab` y labels `las` numeric in 0,1,2,3; the style of axis labels. see plot() `axes` TRUE or FALSE `...` other parameters of plot

## Value

 `breaks` a vector giving the breakpoints between histogram cells `counts` frequency and x is class intervals `mids` center point in class `relative` Relative frequency, height `density` Density frequency, height

## Author(s)

Felipe de Mendiburu

`polygon.freq`, `table.freq`, `stat.freq`,`intervals.freq`,`sturges.freq`, `join.freq`,`ogive.freq`, `normal.freq `
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43``` ```library(agricolae) data(genxenv) yield <- subset(genxenv\$YLD,genxenv\$ENV==2) yield <- round(yield,1) h<- graph.freq(yield,axes=FALSE, frequency=1, ylab="frequency",col="yellow") axis(1,h\$breaks) axis(2,seq(0,20,0.1)) # To reproduce histogram. h1 <- graph.freq(h, col="blue", frequency=2,border="red", density=8,axes=FALSE, xlab="YIELD",ylab="relative") axis(1,h\$breaks) axis(2,seq(0,.4,0.1)) # summary, only frecuency limits <-seq(10,40,5) frequencies <-c(2,6,8,7,3,4) #startgraph h<-graph.freq(limits,counts=frequencies,col="bisque",xlab="Classes") polygon.freq(h,col="red") title( main="Histogram and polygon of frequency", ylab="frequency") #endgraph # Statistics measures<-stat.freq(h) print(measures) # frequency table full round(table.freq(h),2) #startgraph # ogive ogive.freq(h,col="red",type="b",ylab="Accumulated relative frequency", xlab="Variable") # only .frequency polygon h<-graph.freq(limits,counts=frequencies,border=FALSE,col=NULL,xlab=" ",ylab="") title( main="Polygon of frequency", xlab="Variable", ylab="Frecuency") polygon.freq(h,col="blue") grid(col="brown") #endgraph # Draw curve for Histogram h<- graph.freq(yield,axes=FALSE, frequency=3, ylab="f(yield)",col="yellow") axis(1,h\$breaks) axis(2,seq(0,0.18,0.03),las=2) lines(density(yield), col = "red", lwd = 2) title("Draw curve for Histogram") ```