Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: plot
See also: plothist plotbox plotdot

Quantlet: plothistwtd
Description: Plots a weighted histogram of x

Usage: plothistwtd(inX, inWeights {,inTicks})
Input:
inX n x 1 Vector of continuous data.
inWeights n x 1 Vector of weights.
inTicks m x 1 Vector. Specifying the (m-1) intervalls for the histogram.

Note:

Example:

library("plot")

Mean = #(1, 1.1, 1.6, 1.2, 2.5, 2.2, 2.9, 3.2, 4.1)

Fraction = #(0.5, 0.7, 3, 1.1, 1.2, 4.0, 1.3, 2.8, 0.9) 

plothist(Mean, 1:5)

plothistwtd(Mean, Fraction, 1:5)

Result:

You see two histograms - one standard histogram and one

weighted histogram. 

In this example means for different subgroups of a dataset

have been computed. In the standard histogram all means 

have the same weight, disregarding the size of the underlying 

sample.

In the weighted histogram the sample size (here as fraction

of the whole dataset) is provided.

Note the different shape (and hence interpretation!) of the

two histograms. 


Library: plot
See also: plothist plotbox plotdot

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Author: Stephan R. W. Lauer, 990305
(C) MD*TECH Method and Data Technologies, 21.9.2000