histogram()

Generates a histogram representation. This function creates a histogram that represents data

Syntax
y = histogram(data, numBins, minBin, maxBin)

Name	Description	Range	Type	Default	Required
data	signal(must be one-dimensional)	(-∞, ∞)	integer, real		yes
numBins	number of subintervals or bins used to measure the histogram.	[1, ∞)	integer	log(numOfPts)/log(2.0)	no
minBin	beginning of the evaluation of the histogram	(-∞, ∞)	real	minimum value of the data	no
maxBin	end of the evaluation of the histogram	(-∞, ∞)	real	maximum value of the data	no

Examples

y = histogram(data)
y = histogram(data, 20)
If you have performed a parameter sweep such that the first argument ( data ) in the histogram function is a function of two independent variables, then you must reduce the dimensionality of data before using it in the histogram function. For example, if you run a Monte Carlo simulation on the S-parameters of a circuit, S ₂₁ would be a function of both the Monte Carlo index and the frequency (assuming you have swept frequency). So, you could plot the histogram of S ₂₁ at the 100th frequency in the sweep by using:
y = histogram(dB(S21[::,99]))

Defined in

Built in

See Also

cdf(), pdf(), yield_sens(), histogram_multiDim(), histogram_stat()

Notes/Equations

This function can only be used by entering an equation (Eqn) in the Data Display window. Use the histogram_multiDim() function for multi-dimensional data.