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lazy tabs (fixes #506)

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Vyacheslav Matyukhin 2022-07-28 18:16:31 +04:00
parent 5618ef3f34
commit e1f178d0ae
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12
packages/website/docs/Guides/DistributionCreation.mdx
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@ -17,7 +17,7 @@ The `to` function is an easy way to generate simple distributions using predicte
If both values are above zero, a `lognormal` distribution is used. If not, a `normal` distribution is used. If both values are above zero, a `lognormal` distribution is used. If not, a `normal` distribution is used.
<Tabs> <Tabs lazy>
<TabItem value="ex1" label="5 to 10" default> <TabItem value="ex1" label="5 to 10" default>
When <code>5 to 10</code> is entered, both numbers are positive, so it When <code>5 to 10</code> is entered, both numbers are positive, so it
generates a lognormal distribution with 5th and 95th percentiles at 5 and generates a lognormal distribution with 5th and 95th percentiles at 5 and
@ -74,7 +74,7 @@ If both values are above zero, a `lognormal` distribution is used. If not, a `no
The `mixture` mixes combines multiple distributions to create a mixture. You can optionally pass in a list of proportional weights. The `mixture` mixes combines multiple distributions to create a mixture. You can optionally pass in a list of proportional weights.
<Tabs> <Tabs lazy>
<TabItem value="ex1" label="Simple" default> <TabItem value="ex1" label="Simple" default>
<SquiggleEditor defaultCode="mixture(1 to 2, 5 to 8, 9 to 10)" /> <SquiggleEditor defaultCode="mixture(1 to 2, 5 to 8, 9 to 10)" />
</TabItem> </TabItem>
@ -139,7 +139,7 @@ mx(forecast, forecast_if_completely_wrong, [1-chance_completely_wrong, chance_co
Creates a [normal distribution](https://en.wikipedia.org/wiki/Normal_distribution) with the given mean and standard deviation. Creates a [normal distribution](https://en.wikipedia.org/wiki/Normal_distribution) with the given mean and standard deviation.
<Tabs> <Tabs lazy>
<TabItem value="ex1" label="normal(5,1)" default> <TabItem value="ex1" label="normal(5,1)" default>
<SquiggleEditor defaultCode="normal(5, 1)" /> <SquiggleEditor defaultCode="normal(5, 1)" />
</TabItem> </TabItem>
@ -234,7 +234,7 @@ with values at 1 and 2. Therefore, this is the same as `mixture(pointMass(1),poi
`pointMass()` distributions are currently the only discrete distributions accessible in Squiggle. `pointMass()` distributions are currently the only discrete distributions accessible in Squiggle.
<Tabs> <Tabs lazy>
<TabItem value="ex1" label="pointMass(3)" default> <TabItem value="ex1" label="pointMass(3)" default>
<SquiggleEditor defaultCode="pointMass(3)" /> <SquiggleEditor defaultCode="pointMass(3)" />
</TabItem> </TabItem>
@ -263,7 +263,7 @@ with values at 1 and 2. Therefore, this is the same as `mixture(pointMass(1),poi
Creates a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) with the given `alpha` and `beta` values. For a good summary of the beta distribution, see [this explanation](https://stats.stackexchange.com/a/47782) on Stack Overflow. Creates a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) with the given `alpha` and `beta` values. For a good summary of the beta distribution, see [this explanation](https://stats.stackexchange.com/a/47782) on Stack Overflow.
<Tabs> <Tabs lazy>
<TabItem value="ex1" label="beta(10, 20)" default> <TabItem value="ex1" label="beta(10, 20)" default>
<SquiggleEditor defaultCode="beta(10,20)" /> <SquiggleEditor defaultCode="beta(10,20)" />
</TabItem> </TabItem>
@ -300,7 +300,7 @@ Creates a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) w
</p> </p>
<details> <details>
<summary>Examples</summary> <summary>Examples</summary>
<Tabs> <Tabs lazy>
<TabItem value="ex1" label="beta(0.3, 0.3)" default> <TabItem value="ex1" label="beta(0.3, 0.3)" default>
<SquiggleEditor defaultCode="beta(0.3, 0.3)" /> <SquiggleEditor defaultCode="beta(0.3, 0.3)" />
</TabItem> </TabItem>