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R (Computer Programming Language)

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Applied Biclustering Methods for Big and High-Dimensional Data Using R

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Applied Biclustering Methods for Big and High-Dimensional Data Using R

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Basic Data Analysis for Time Series with R

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Basic Data Analysis for Time Series with R

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Analyzing Health Data in R for SAS Users

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Analyzing Health Data in R for SAS Users

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Analyzing Sensory Data with R

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Analysis of Questionnaire Data with R

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Analysis of Questionnaire Data with R

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Applied Econometrics with R

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Applied Econometrics with R

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

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Analyzing Linguistic Data

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Analyzing Linguistic Data

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Analysis of Integrated and Cointegrated Time Series with R

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Analysis of Integrated and Cointegrated Time Series with R

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25 Recipes for Getting Started with R

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25 Recipes for Getting Started with R

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Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

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Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

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Using R and RStudio for Data Management, Statistical Analysis, and Graphics

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Using R and RStudio for Data Management, Statistical Analysis, and Graphics

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