plot.graph.freq {agricolae} | R Documentation |

## Histogram

### 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

```
## S3 method for class 'graph.freq'
plot(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(), graphFreq() |

`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 |

`axes` |
TRUE or FALSE |

`las` |
values 0,1,2 and 3 are the axis styles. see plot() |

`...` |
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

### See Also

`polygon.freq`

, `table.freq`

,
`stat.freq`

,`inter.freq`

,`sturges.freq`

,
`join.freq`

,`ogive.freq`

, `normal.freq `

### Examples

```
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$breaks)
axis(2,seq(0,20,0.1))
# To reproduce histogram.
h1 <- plot(h, col="blue", frequency=2,border="red", density=8,axes=FALSE,
xlab="YIELD",ylab="relative")
axis(1,h$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")
```

*agricolae*version 1.3-7 Index]