Latin Squares Kaelen Medeiros Content Quality Analyst DataCamp - PowerPoint PPT Presentation

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DataCamp Experimental Design in R EXPERIMENTAL DESIGN IN R Latin Squares Kaelen Medeiros Content Quality Analyst DataCamp Experimental Design in R Latin squares Two blocking factors (instead of one) All factors must have the same number of

DataCamp Experimental Design in R EXPERIMENTAL DESIGN IN R Latin Squares Kaelen Medeiros Content Quality Analyst
DataCamp Experimental Design in R Latin squares Two blocking factors (instead of one) All factors must have the same number of levels Key assumption: the treatment and two blocking factors do not interact Analyze like a RCBD
DataCamp Experimental Design in R Latin square diagram
DataCamp Experimental Design in R Why is it a Latin square?
DataCamp Experimental Design in R Intro to NYC scores nyc_scores is an NYC open dataset Downloaded from Kaggle Includes: All accredited NYC high schools SAT scores (Reading, Writing, and Math) 2014-2015 school year
DataCamp Experimental Design in R EXPERIMENTAL DESIGN IN R Let's practice!
DataCamp Experimental Design in R EXPERIMENTAL DESIGN IN R Graeco-Latin Squares Kaelen Medeiros Product Data Scientist at DataCamp
DataCamp Experimental Design in R Graeco-Latin Squares Three blocking factors All factors must have the same number of levels Key assumption: the treatment and three blocking factors do not interact Analyze like a RCDB
DataCamp Experimental Design in R Graeco-Latin Squares
DataCamp Experimental Design in R GLS - explanation
DataCamp Experimental Design in R EXPERIMENTAL DESIGN IN R Let's practice!
DataCamp Experimental Design in R EXPERIMENTAL DESIGN IN R Factorial Experiments Kaelen Medeiros Product Data Scientist at DataCamp
DataCamp Experimental Design in R Factorial Designs 2 or more factor variables are combined and crossed All of the possible interactions between levels of factors are considered as effects on the outcome Example: high/low water and high/low sunlight's effect on plant growth.
DataCamp Experimental Design in R Factorial Example
DataCamp Experimental Design in R 2^k factorial experiments 2^k factorial experiments involve k factor variables with 2 levels It results in 2^k number of combinations of effects to test Analysed with a linear model and ANOVA Also use TukeyHSD() to determine which combinations are significantly different
DataCamp Experimental Design in R EXPERIMENTAL DESIGN IN R Let's practice!
DataCamp Experimental Design in R EXPERIMENTAL DESIGN IN R What's Next For Experimental Design Kaelen Medeiros Product Data Scientist at DataCamp
DataCamp Experimental Design in R What's Next? Other factorial designs (besides 2^k) including fractional factorial designs Experiments with random factors Nested designs Split plot designs Lattice designs
DataCamp Experimental Design in R EXPERIMENTAL DESIGN IN R Go forth & design experiments!

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