Changed squiggle display heights to be more reasonable
This commit is contained in:
Ozzie Gooen
parent
d4535df712
commit
67c478b4c0
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@ -26,6 +26,7 @@ export interface SquiggleEditorProps {
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diagramStart?: number;
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/** If the result is a function, where the function ends */
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diagramStop?: number;
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height?: number;
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/** If the result is a function, how many points along the function it samples */
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diagramCount?: number;
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/** when the environment changes. Used again for notebook magic*/
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@ -51,6 +52,7 @@ export let SquiggleEditor: React.FC<SquiggleEditorProps> = ({
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diagramStart = 0,
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diagramStop = 10,
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diagramCount = 20,
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height = 200,
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onChange,
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bindings = defaultBindings,
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jsImports = defaultImports,
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@ -78,6 +80,7 @@ export let SquiggleEditor: React.FC<SquiggleEditorProps> = ({
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</div>
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<SquiggleChart
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width={width}
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height={height}
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environment={environment}
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squiggleString={expression}
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chartSettings={chartSettings}
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@ -22,22 +22,26 @@ If both values are above zero, a `lognormal` distribution is used. If not, a `no
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When <code>5 to 10</code> is entered, both numbers are positive, so it
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generates a lognormal distribution with 5th and 95th percentiles at 5 and
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10.
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<SquiggleEditor initialSquiggleString="5 to 10" />
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<SquiggleEditor initialSquiggleString="5 to 10" height={60} />
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</TabItem>
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<TabItem value="ex3" label="to(5,10)">
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<code>5 to 10</code> does the same thing as <code>to(5,10)</code>.
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<SquiggleEditor initialSquiggleString="to(5,10)" />
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<SquiggleEditor initialSquiggleString="to(5,10)" height={60} width={600} />
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</TabItem>
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<TabItem value="ex2" label="-5 to 5">
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When <code>-5 to 5</code> is entered, there's negative values, so it
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generates a normal distribution. This has 5th and 95th percentiles at 5 and
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10.
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<SquiggleEditor initialSquiggleString="-5 to -3" />
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<SquiggleEditor initialSquiggleString="-5 to -3" height={60} width={600} />
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</TabItem>
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<TabItem value="ex4" label="1 to 10000">
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It's very easy to generate distributions with very long tails. If this
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happens, you can click the "log x scale" box to view this using a log scale.
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<SquiggleEditor initialSquiggleString="1 to 10000" />
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<SquiggleEditor
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initialSquiggleString="1 to 10000"
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height={60}
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width={600}
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/>
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</TabItem>
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</Tabs>
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@ -76,16 +80,31 @@ The `mixture` mixes combines multiple distributions to create a mixture. You can
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<Tabs>
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<TabItem value="ex1" label="Simple" default>
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<SquiggleEditor initialSquiggleString="mixture(1 to 2, 5 to 8, 9 to 10)" />
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<SquiggleEditor
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initialSquiggleString="mixture(1 to 2, 5 to 8, 9 to 10)"
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height={60}
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/>
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</TabItem>
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<TabItem value="ex2" label="With Weights">
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<SquiggleEditor initialSquiggleString="mixture(1 to 2, 5 to 8, 9 to 10, [0.1, 0.1, 0.8])" />
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<SquiggleEditor
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initialSquiggleString="mixture(1 to 2, 5 to 8, 9 to 10, [0.1, 0.1, 0.8])"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex3" label="With Continuous and Discrete Inputs">
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<SquiggleEditor initialSquiggleString="mixture(1 to 5, 8 to 10, 1, 3, 20)" />
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<SquiggleEditor
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initialSquiggleString="mixture(1 to 5, 8 to 10, 1, 3, 20)"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex4" label="Array of Distributions Input">
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<SquiggleEditor initialSquiggleString="mx([1 to 2, exponential(1)], [1,1])" />
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<SquiggleEditor
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initialSquiggleString="mx([1 to 2, exponential(1)], [1,1])"
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height={60}
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width={600}
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/>
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</TabItem>
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</Tabs>
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@ -113,7 +132,7 @@ The `mixture` mixes combines multiple distributions to create a mixture. You can
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<SquiggleEditor
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initialSquiggleString={`hours_the_project_will_take = 5 to 20
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chance_of_doing_anything = 0.8
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mx(hours_the_project_will_take, 0, [chance_of_doing_anything, 1 - chance_of_doing_anything])`}
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mx(hours_the_project_will_take, 0, [chance_of_doing_anything, 1 - chance_of_doing_anything])`} height={60}
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/>
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</details>
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@ -128,7 +147,7 @@ mx(hours_the_project_will_take, 0, [chance_of_doing_anything, 1 - chance_of_doin
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initialSquiggleString={`forecast = 3 to 30
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chance_completely_wrong = 0.05
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forecast_if_completely_wrong = -100 to 200
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mx(forecast, forecast_if_completely_wrong, [1-chance_completely_wrong, chance_completely_wrong])`}
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mx(forecast, forecast_if_completely_wrong, [1-chance_completely_wrong, chance_completely_wrong])`} height={60}
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/>
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</details>
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@ -141,10 +160,14 @@ Creates a [normal distribution](https://en.wikipedia.org/wiki/Normal_distributio
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<Tabs>
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<TabItem value="ex1" label="normal(5,1)" default>
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<SquiggleEditor initialSquiggleString="normal(5, 1)" />
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<SquiggleEditor initialSquiggleString="normal(5, 1)" height={60} />
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</TabItem>
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<TabItem value="ex2" label="normal(100000000000, 100000000000)">
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<SquiggleEditor initialSquiggleString="normal(100000000000, 100000000000)" />
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<SquiggleEditor
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initialSquiggleString="normal(100000000000, 100000000000)"
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height={60}
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width={600}
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/>
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</TabItem>
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</Tabs>
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@ -165,7 +188,7 @@ Creates a [log-normal distribution](https://en.wikipedia.org/wiki/Log-normal_dis
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you take the log of our lognormal distribution. They can be difficult to directly reason about.
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Because of this complexity, we recommend typically using the <a href="#to">to</a> syntax instead of estimating `mu` and `sigma` directly.
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<SquiggleEditor initialSquiggleString="lognormal(0, 0.7)" />
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<SquiggleEditor initialSquiggleString="lognormal(0, 0.7)" height={60} />
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### Arguments
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@ -189,7 +212,8 @@ Because of this complexity, we recommend typically using the <a href="#to">to</a
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normalStdDev = 2
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logOfLognormal = log(lognormal(normalMean, normalStdDev))
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[logOfLognormal, normal(normalMean, normalStdDev)]`}
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/>
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/>{" "}
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height={60}
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</details>
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## Uniform
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@ -198,7 +222,7 @@ logOfLognormal = log(lognormal(normalMean, normalStdDev))
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Creates a [uniform distribution](<https://en.wikipedia.org/wiki/Uniform_distribution_(continuous)>) with the given low and high values.
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<SquiggleEditor initialSquiggleString="uniform(3,7)" />
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<SquiggleEditor initialSquiggleString="uniform(3,7)" height={60} />
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### Arguments
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@ -236,19 +260,35 @@ with values at 1 and 2. Therefore, this is the same as `mixture(pointMass(1),poi
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<Tabs>
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<TabItem value="ex1" label="pointMass(3)" default>
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<SquiggleEditor initialSquiggleString="pointMass(3)" />
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<SquiggleEditor initialSquiggleString="pointMass(3)" height={60} />
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</TabItem>
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<TabItem value="ex3" label="mixture(1,3,5)">
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<SquiggleEditor initialSquiggleString="mixture(1,3,5)" />
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<SquiggleEditor
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initialSquiggleString="mixture(1,3,5)"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex2" label="normal(5,2) * 6">
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<SquiggleEditor initialSquiggleString="normal(5,2) * 6" />
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<SquiggleEditor
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initialSquiggleString="normal(5,2) * 6"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex4" label="dotAdd(normal(5,2), 6)">
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<SquiggleEditor initialSquiggleString="dotAdd(normal(5,2), 6)" />
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<SquiggleEditor
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initialSquiggleString="dotAdd(normal(5,2), 6)"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex5" label="dotMultiply(normal(5,2), 6)">
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<SquiggleEditor initialSquiggleString="dotMultiply(normal(5,2), 6)" />
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<SquiggleEditor
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initialSquiggleString="dotMultiply(normal(5,2), 6)"
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height={60}
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width={600}
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/>
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</TabItem>
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</Tabs>
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@ -264,19 +304,35 @@ Creates a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) w
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<Tabs>
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<TabItem value="ex1" label="beta(10, 20)" default>
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<SquiggleEditor initialSquiggleString="beta(10,20)" />
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<SquiggleEditor initialSquiggleString="beta(10,20)" height={60} />
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</TabItem>
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<TabItem value="ex2" label="beta(1000, 1000)">
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<SquiggleEditor initialSquiggleString="beta(1000, 2000)" />
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<SquiggleEditor
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initialSquiggleString="beta(1000, 2000)"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex3" label="beta(1, 10)">
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<SquiggleEditor initialSquiggleString="beta(1, 10)" />
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<SquiggleEditor
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initialSquiggleString="beta(1, 10)"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex4" label="beta(10, 1)">
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<SquiggleEditor initialSquiggleString="beta(10, 1)" />
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<SquiggleEditor
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initialSquiggleString="beta(10, 1)"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex5" label="beta(0.8, 0.8)">
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<SquiggleEditor initialSquiggleString="beta(0.8, 0.8)" />
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<SquiggleEditor
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initialSquiggleString="beta(0.8, 0.8)"
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height={60}
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width={600}
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/>
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</TabItem>
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</Tabs>
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@ -295,16 +351,28 @@ Creates a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) w
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<summary>Examples</summary>
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<Tabs>
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<TabItem value="ex1" label="beta(0.3, 0.3)" default>
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<SquiggleEditor initialSquiggleString="beta(0.3, 0.3)" />
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<SquiggleEditor initialSquiggleString="beta(0.3, 0.3)" height={60} />
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</TabItem>
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<TabItem value="ex2" label="beta(0.5, 0.5)">
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<SquiggleEditor initialSquiggleString="beta(0.5, 0.5)" />
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<SquiggleEditor
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initialSquiggleString="beta(0.5, 0.5)"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex3" label="beta(0.8, 0.8)">
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<SquiggleEditor initialSquiggleString="beta(.8,.8)" />
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<SquiggleEditor
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initialSquiggleString="beta(.8,.8)"
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height={60}
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width={600}
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/>
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</TabItem>
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<TabItem value="ex4" label="beta(0.9, 0.9)">
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<SquiggleEditor initialSquiggleString="beta(.9,.9)" />
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<SquiggleEditor
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initialSquiggleString="beta(.9,.9)"
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height={60}
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width={600}
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/>
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</TabItem>
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</Tabs>
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</details>
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@ -316,7 +384,7 @@ Creates a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) w
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Creates an [exponential distribution](https://en.wikipedia.org/wiki/Exponential_distribution) with the given rate.
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<SquiggleEditor initialSquiggleString="exponential(4)" />
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<SquiggleEditor initialSquiggleString="exponential(4)" height={60} />
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### Arguments
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@ -334,7 +402,7 @@ Creates a [triangular distribution](https://en.wikipedia.org/wiki/Triangular_dis
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- `mode`: Number greater than `low`
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- `high`: Number greater than `mode`
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<SquiggleEditor initialSquiggleString="triangular(1, 2, 4)" />
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<SquiggleEditor initialSquiggleString="triangular(1, 2, 4)" height={60} />
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## FromSamples
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@ -342,7 +410,10 @@ Creates a [triangular distribution](https://en.wikipedia.org/wiki/Triangular_dis
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Creates a sample set distribution using an array of samples.
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<SquiggleEditor initialSquiggleString="fromSamples([1,2,3,4,6,5,5,5])" />
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<SquiggleEditor
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initialSquiggleString="fromSamples([1,2,3,4,6,5,5,5])"
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height={60}
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/>
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### Arguments
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@ -19,6 +19,7 @@ chosen from the second distribution.
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initialSquiggleString={`dist1 = 1 to 10
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dist2 = triangular(1,2,3)
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dist1 + dist2`}
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height={60}
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/>
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### Subtraction
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@ -31,6 +32,7 @@ the value of one random sample chosen from the second distribution.
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initialSquiggleString={`dist1 = 1 to 10
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dist2 = triangular(1,2,3)
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dist1 - dist2`}
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height={60}
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/>
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### Multiplication
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@ -43,12 +45,9 @@ chosen from the second distribution.
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initialSquiggleString={`dist1 = 1 to 10
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dist2 = triangular(1,2,3)
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dist1 * dist2`}
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height={60}
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/>
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We also provide concatenation of two distributions as a syntax sugar for `*`
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<SquiggleEditor initialSquiggleString="(0.1 to 1) triangular(1,2,3)" />
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### Division
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A proportional scaling (normally a shrinking if the second distribution has values higher than 1).
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@ -61,6 +60,7 @@ tends to be particularly unstable.
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initialSquiggleString={`dist1 = 1 to 10
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dist2 = triangular(1,2,3)
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dist1 / dist2`}
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height={60}
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/>
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### Exponentiation
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@ -69,13 +69,14 @@ A projection over a contracted x-axis. The exponentiation operation represents t
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the exponentiation of the value of one random sample chosen from the first distribution to the power of
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the value one random sample chosen from the second distribution.
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<SquiggleEditor initialSquiggleString={`(0.1 to 1) ^ beta(2, 3)`} />
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<SquiggleEditor initialSquiggleString={`(0.1 to 1) ^ beta(2, 3)`} height={60} />
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### Taking the base `e` exponential
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<SquiggleEditor
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initialSquiggleString={`dist = triangular(1,2,3)
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exp(dist)`}
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height={60}
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/>
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### Taking logarithms
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@ -85,19 +86,22 @@ A projection over a stretched x-axis.
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<SquiggleEditor
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initialSquiggleString={`dist = triangular(1,2,3)
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log(dist)`}
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height={60}
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/>
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<SquiggleEditor
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initialSquiggleString={`dist = beta(1,2)
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initialSquiggleString={`dist = beta(1,2)+1
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log10(dist)`}
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height={60}
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/>
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Base `x`
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<SquiggleEditor
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initialSquiggleString={`x = 2
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dist = beta(2,3)
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dist = beta(2,3)+1
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log(dist, x)`}
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height={60}
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/>
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#### Validity
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@ -111,22 +115,20 @@ For every point on the x-axis, operate the corresponding points in the y axis of
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**Pointwise operations are done with `PointSetDist` internals rather than `SampleSetDist` internals**.
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TODO: this isn't in the new interpreter/parser yet.
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<SquiggleEditor
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initialSquiggleString={`dist1 = 1 to 10
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dist2 = triangular(1,2,3)
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dist1 .+ dist2`}
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height={60}
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/>
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### Pointwise subtraction
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TODO: this isn't in the new interpreter/parser yet.
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<SquiggleEditor
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initialSquiggleString={`dist1 = 1 to 10
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dist2 = triangular(1,2,3)
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dist1 .- dist2`}
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height={60}
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/>
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### Pointwise multiplication
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@ -135,6 +137,7 @@ dist1 .- dist2`}
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initialSquiggleString={`dist1 = 1 to 10
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dist2 = triangular(1,2,3)
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dist1 .* dist2`}
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height={60}
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/>
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### Pointwise division
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@ -143,6 +146,7 @@ dist1 .* dist2`}
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initialSquiggleString={`dist1 = uniform(0,20)
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dist2 = normal(10,8)
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dist1 ./ dist2`}
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height={60}
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/>
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### Pointwise exponentiation
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@ -151,6 +155,7 @@ dist1 ./ dist2`}
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initialSquiggleString={`dist1 = 1 to 10
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dist2 = triangular(1,2,3)
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dist1 .^ dist2`}
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height={60}
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/>
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## Standard functions on distributions
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@ -160,7 +165,7 @@ dist1 .^ dist2`}
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The `pdf(dist, x)` function returns the density of a distribution at the
|
||||
given point x.
|
||||
|
||||
<SquiggleEditor initialSquiggleString="pdf(normal(0,1),0)" />
|
||||
<SquiggleEditor initialSquiggleString="pdf(normal(0,1),0)" height={60} />
|
||||
|
||||
#### Validity
|
||||
|
||||
|
|
@ -172,7 +177,7 @@ given point x.
|
|||
The `cdf(dist, x)` gives the cumulative probability of the distribution
|
||||
or all values lower than x. It is the inverse of `quantile`.
|
||||
|
||||
<SquiggleEditor initialSquiggleString="cdf(normal(0,1),0)" />
|
||||
<SquiggleEditor initialSquiggleString="cdf(normal(0,1),0)" height={60} />
|
||||
|
||||
#### Validity
|
||||
|
||||
|
|
@ -185,7 +190,7 @@ The `quantile(dist, prob)` gives the value x or which the probability for all va
|
|||
lower than x is equal to prob. It is the inverse of `cdf`. In the literature, it
|
||||
is also known as the quantiles function.
|
||||
|
||||
<SquiggleEditor initialSquiggleString="quantile(normal(0,1),0.5)" />
|
||||
<SquiggleEditor initialSquiggleString="quantile(normal(0,1),0.5)" height={60} />
|
||||
|
||||
#### Validity
|
||||
|
||||
|
|
@ -196,29 +201,35 @@ is also known as the quantiles function.
|
|||
|
||||
The `mean(distribution)` function gives the mean (expected value) of a distribution.
|
||||
|
||||
<SquiggleEditor initialSquiggleString="mean(normal(5, 10))" />
|
||||
<SquiggleEditor initialSquiggleString="mean(normal(5, 10))" height={60} />
|
||||
|
||||
### Sampling a distribution
|
||||
|
||||
The `sample(distribution)` samples a given distribution.
|
||||
|
||||
<SquiggleEditor initialSquiggleString="sample(normal(0, 10))" />
|
||||
<SquiggleEditor initialSquiggleString="sample(normal(0, 10))" height={60} />
|
||||
|
||||
## Converting between distribution formats
|
||||
|
||||
Recall the [three formats of distributions](https://develop--squiggle-documentation.netlify.app/docs/Discussions/Three-Types-Of-Distributions). We can force any distribution into `SampleSet` format
|
||||
|
||||
<SquiggleEditor initialSquiggleString="toSampleSet(normal(5, 10))" />
|
||||
<SquiggleEditor
|
||||
initialSquiggleString="toSampleSet(normal(5, 10))"
|
||||
height={60}
|
||||
/>
|
||||
|
||||
Or `PointSet` format
|
||||
|
||||
<SquiggleEditor initialSquiggleString="toPointSet(normal(5, 10))" />
|
||||
<SquiggleEditor initialSquiggleString="toPointSet(normal(5, 10))" height={60} />
|
||||
|
||||
### `toSampleSet` has two signatures
|
||||
|
||||
Above, we saw the unary `toSampleSet`, which uses an internal hardcoded number of samples. If you'd like to provide the number of samples, it has a binary signature as well (floored)
|
||||
|
||||
<SquiggleEditor initialSquiggleString="[toSampleSet(0.1 to 1, 100.1), toSampleSet(0.1 to 1, 5000), toSampleSet(0.1 to 1, 20000)]" />
|
||||
<SquiggleEditor
|
||||
initialSquiggleString="[toSampleSet(0.1 to 1, 100.1), toSampleSet(0.1 to 1, 5000), toSampleSet(0.1 to 1, 20000)]"
|
||||
height={60}
|
||||
/>
|
||||
|
||||
#### Validity
|
||||
|
||||
|
|
@ -230,13 +241,19 @@ Some distribution operations (like horizontal shift) return an unnormalized dist
|
|||
|
||||
We provide a `normalize` function
|
||||
|
||||
<SquiggleEditor initialSquiggleString="normalize((0.1 to 1) + triangular(0.1, 1, 10))" />
|
||||
<SquiggleEditor
|
||||
initialSquiggleString="normalize((0.1 to 1) + triangular(0.1, 1, 10))"
|
||||
height={60}
|
||||
/>
|
||||
|
||||
#### Validity - Input to `normalize` must be a dist
|
||||
|
||||
We provide a predicate `isNormalized`, for when we have simple control flow
|
||||
|
||||
<SquiggleEditor initialSquiggleString="isNormalized((0.1 to 1) * triangular(0.1, 1, 10))" />
|
||||
<SquiggleEditor
|
||||
initialSquiggleString="isNormalized((0.1 to 1) * triangular(0.1, 1, 10))"
|
||||
height={60}
|
||||
/>
|
||||
|
||||
#### Validity
|
||||
|
||||
|
|
@ -246,20 +263,28 @@ We provide a predicate `isNormalized`, for when we have simple control flow
|
|||
|
||||
You may like to debug by right clicking your browser and using the _inspect_ functionality on the webpage, and viewing the _console_ tab. Then, wrap your squiggle output with `inspect` to log an internal representation.
|
||||
|
||||
<SquiggleEditor initialSquiggleString="inspect(toSampleSet(0.1 to 1, 100))" />
|
||||
<SquiggleEditor
|
||||
initialSquiggleString="inspect(toSampleSet(0.1 to 1, 100))"
|
||||
height={60}
|
||||
/>
|
||||
|
||||
Save for a logging side effect, `inspect` does nothing to input and returns it.
|
||||
|
||||
## Truncate
|
||||
|
||||
You can cut off from the left
|
||||
You can truncate the left side, the right side, or both.
|
||||
|
||||
<SquiggleEditor initialSquiggleString="truncateLeft(0.1 to 1, 0.5)" />
|
||||
<SquiggleEditor
|
||||
initialSquiggleString="truncateLeft(0.1 to 1, 0.5)"
|
||||
height={40}
|
||||
/>
|
||||
|
||||
You can cut off from the right
|
||||
<SquiggleEditor
|
||||
initialSquiggleString="truncateRight(0.1 to 1, 0.5)"
|
||||
height={40}
|
||||
/>
|
||||
|
||||
<SquiggleEditor initialSquiggleString="truncateRight(0.1 to 1, 0.5)" />
|
||||
|
||||
You can cut off from both sides
|
||||
|
||||
<SquiggleEditor initialSquiggleString="truncate(0.1 to 1, 0.5, 1.5)" />
|
||||
<SquiggleEditor
|
||||
initialSquiggleString="truncate(0.1 to 1, 0.5, 1.5)"
|
||||
height={40}
|
||||
/>
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user