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agricolae (version 1.1-5)

graph.freq: 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

graph.freq(x, breaks="sturges",counts=NULL,frequency=1, plot=TRUE, nclass=NULL,
xlab="",ylab="",...)

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
...
other parameters of graphic

Value

  • xNumeric or list
  • plotTRUE or FALSE
  • countsNumeric
  • frequencyNumeric

See Also

polygon.freq, table.freq, stat.freq,intervals.freq,sturges.freq, join.freq,ojiva.freq, normal.freq

Examples

Run this code
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
# Ojiva
ojiva.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")

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