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R Presentation

Jeffery Russell
3-29-19

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Signin: bit.ly/ritlug-mar-29

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banner

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History

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  • Back in the day (1976) Bell Laboratories created the S statisticsl programming language
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  • People were sad because it was exclusively licensed by AT&T
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  • During the 90's a group of people developed a S replacement called R and it was liscensed under GNU
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Why use R

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  • Statistics and data analysis
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  • Machine learning
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  • Fast prototyping
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  • Creating graphs
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  • Writing research papers and reports
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  • Creating presentations (like this one)
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Embedding Code Output in a Document

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summary(cars)
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     speed           dist       
+ Min.   : 4.0   Min.   :  2.00  
+ 1st Qu.:12.0   1st Qu.: 26.00  
+ Median :15.0   Median : 36.00  
+ Mean   :15.4   Mean   : 42.98  
+ 3rd Qu.:19.0   3rd Qu.: 56.00  
+ Max.   :25.0   Max.   :120.00  
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Embedding Graphs in a Document

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plot(mtcars$wt, mtcars$mpg, main="Weight vs MPG", xlab = "weight", ylab="MPG")
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plot of chunk unnamed-chunk-2

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Syntax

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  • Syntax of R is C esk with its use of curly braces
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  • Variables are similar to python since it infers your data type used
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  • Type system is rather wierd, the base unit for everything is a vector– even integers
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if(TRUE)
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[1] "Hello World"
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Syntax cont

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ML Example pt: 1

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plot of chunk unnamed-chunk-4

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ML Example pt: 2

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plot of chunk unnamed-chunk-5

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Super Cool ML Example pt: 3

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sc <- spark_connect(master = "local")
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+iris_tbl <- sdf_copy_to(sc, iris, name = "iris_tbl", overwrite = TRUE)
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+partitions <- iris_tbl %>%
+  sdf_partition(training = 0.7, test = 0.3, seed = 1111)
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+iris_training <- partitions$training
+iris_test <- partitions$test
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+dt_model <- iris_training %>%
+  ml_decision_tree(Species ~ .)
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+pred <- ml_predict(dt_model, iris_test)
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+ml_multiclass_classification_evaluator(pred)
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[1] 0.9451737
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Resources

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Demo/Questions?

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