R Data Analysis Projects by Gopi Subramanian

Author:Gopi Subramanian
Language: eng
Format: mobi, epub, pdf
Tags: COM062000 - COMPUTERS / Data Modeling and Design, COM018000 - COMPUTERS / Data Processing, COM089000 - COMPUTERS / Data Visualization
Publisher: Packt
Published: 2017-11-16T10:27:46+00:00

par(mfrow=c(3,1))

plot(density(getRatings(data)), main = "Raw")

plot(density(getRatings(data.norm)), main = "Normalized")

plot(density(getRatings(data.norm.z)), main = "Z-score normalized")

par(mfrow=c(1,1))

# Train test split

set.seed(100)

data = normalize(data, method ="Z-score")

plan <- evaluationScheme(data, method="split", train=0.9, given = 10, goodRating=1)

plan

train <- getData(plan, "train")

train

test <- getData(plan, "unknown")

test

test.known <- getData(plan, "known")

test.known

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