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Uncertain index dataset

UncertainIndexDatasets is an uncertain dataset type that represents the indices corresponding to an UncertainValueDataset.

It is meant to be used for the indices field in UncertainIndexValueDatasets instances.

Documentation¶

# UncertainData.UncertainDatasets.UncertainIndexDataset — Type.

1	UncertainIndices

Generic dataset containing uncertain indices.

Fields

indices::AbstractVector{AbstractUncertainValue}: The uncertain values.

source

Examples¶

Example 1: increasing index uncertainty through time¶

Defining the indices¶

Say we had a dataset of 20 values for which the uncertainties are normally distributed with increasing standard deviation through time.

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time_inds = 1:13
uvals = [UncertainValue(Normal, ind, rand(Uniform()) + (ind / 6)) for ind in time_inds]
inds = UncertainIndexDataset(uvals)

Let's plot the 33^rd to 67^th percentile range for the indices:

1	plot(inds, [0.33, 0.67])

Defining the data¶

Let's define some uncertain values that are associated with the indices.

u1 = UncertainValue(Gamma, rand(Gamma(), 500))
u2 = UncertainValue(rand(MixtureModel([Normal(1, 0.3), Normal(0.1, 0.1)]), 500))
uvals3 = [UncertainValue(Normal, rand(), rand()) for i = 1:11]

measurements = [u1; u2; uvals3]
datavals = UncertainValueDataset(measurements)

Combinining the indices and values¶

Now, we combine the indices and the corresponding data.

1	d = UncertainIndexDataset(inds, datavals)

Plot the dataset with error bars in both directions, using the 20^th to 80^th percentile range for the indices and the 33^rd to 67^th percentile range for the data values.

1	plot(d, [0.2, 0.8], [0.33, 0.67])