ggInterval_hist {ggESDA}

Histogram for symbolic data with equal-bin or unequal-bin.

Description

Visualize the continuous variable distribution by dividing the x axis into bins,and calculating the frequency of observation interval in each bin.

Usage

ggInterval_hist(data = NULL,mapping = aes(NULL),method="equal-bin",bins=10,
 plotAll = FALSE, position = "identity", alpha = 0.5)

Arguments

data

A ggESDA object.It can also be either RSDA object or classical data frame,which will be automatically convert to ggESDA data.

mapping

Set of aesthetic mappings created by aes() or aes_(). If specified and inherit. aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping. It is the same as the mapping of ggplot2.

method

It can be equal-bin(default) or unequal-bin.Enqual-bin means the width in histogram is equal, which represent all intervals divided have the same range. unequal-bin means the range of intervals are not the same,and it can be more general on data. Thus, the bins of unequal-bin method depends on the data, and the argument "bins" will be unused.

bins

x axis bins,which mean how many partials the variable

plotAll

boolean, whether plot all variables, default FALSE. will be separate into.

position

"stack" or "identity"

alpha

fill alpha

Value

Return a ggplot2 object.

Examples

ggInterval_hist(mtcars,aes(x=wt))

ggInterval_hist(iris,aes(iris$Petal.Length,col="blue",alpha=0.2,
   fill="red"),bins=30)


d<-data.frame(x=rnorm(1000,0,1))
p<-ggInterval_hist(d,aes(x=x),bins=40,method="equal-bin")$plot
p

p+scale_fill_manual(values=rainbow(40))+labs(title="myNorm")