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