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SparkR :: gapply How to use LinearRegression across groups in DataFrame?

Hi there

I have big data which I am using for applying linear model to each group. I have small example of the data for the principle I want to have parallelised.

# Determine six waiting times with the largest eruption time in minutes.

schema <- structType(structField("waiting", "double"), structField("max_eruption", "double"))

result <- gapply(

df,

"waiting",

function(key, x) {

y <- [login to view URL](key, max(x$eruptions))

},

schema)

head(collect(arrange(result, "max_eruption", decreasing = TRUE)))

Evner: Datasøgning, Programmeringssproget R

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Projekt ID: #30580205

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Annmarie1995

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