parameter shown below, where n stands for a designed bin

max and min stand for the maximum and minimum values of a

respectively,

ݓൌ^{max െmin}

݊

(2.2)

nstance, if the bin number was five when calling the hist

for the sample SRR1039508 of the airway data, the estimated

was slightly different. This is shown in Figure 2.4, where the actual

er became seven. The height of a bin represents a count, i.e., the

f data points falling within a bin. For instance, the height of the

on the left side was 4,506. The following code can be used to

hether this height is true,

sum(log(x[which(x[,1]>0),1])<2)

he histogram of the logarithm-transformed non-zero sequencing counts of the

R1039508. The designed bin number was five. The actual bin number was seven.

ther enhancement of the histogram approach is to generate a

m shown in Figure 2.5, where a smooth density curve was added.

s, the parameter prob of the hist function was switched on.

ob was switched on, a histogram displayed the probabilities ݌௠

an the frequencies ݂௠ for the data. The code below shows how

done. After a histogram was generated by calling the hist

the density function was called to add a smooth density curve.