Public
Edited
Jul 31, 2023
HTL-MAR-FiddlerCrabBodySize.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
crabs
crabsJS
X
airTempC
Y
sizeMm
Color
#32529b
Size
—
Facet X
—
Facet Y
—
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.
viewof pickSize = Inputs.range([0, 100], {label: "Amount", step: 1})
Plot.plot({
x: {},
y: { label: "Carapace Size (millimeters)" },
marks: [
Plot.dot(crabsJS, {
x: "airTempC",
y: "sizeMm",
stroke: "#32529b",
fill: d => d.site,
tip: true,
r: pickSize,
opacity: 0.5,
})
]
})
Plot.plot({
marks: [
Plot.dot(crabsJS, {x: "lat", y: "sizeMm", tip: true})
]
})
ML = require("https://www.lactame.com/lib/ml/6.0.0/ml.min.js")
// linear model
// simple linear regression expects an array of values for x and an array of values for the corresponding ys
crabsLM = new ML.SimpleLinearRegression(
crabsJS.map(({lat}) => lat),
crabsJS.map(({sizeMm}) => sizeMm),
)
crabsJS
X
lat
Y
sizeMm
Color
—
Size
—
Facet X
—
Facet Y
—
Mark
dot
Type Chart, then Shift-Enter. Ctrl-space for more options.
Plot.plot({
marks: [
Plot.dot(crabsJS, { x: "lat", y: "sizeMm", tip: true, opacity: 0.5, fill: "green" }),
Plot.linearRegressionY(crabsJS, { x : "lat", y: "sizeMm"}),
Plot.frame()
],
x: {label: "Latitude"},
y: {label: "Carapace size (mm)"},
})
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