R Data Analysis without Programming
portes grátis
R Data Analysis without Programming
Explanation and Interpretation
Gerbing, David W.
Taylor & Francis Ltd
01/2023
358
Mole
Inglês
9781032244037
15 a 20 dias
698
Descrição não disponível.
1. R for Data Analysis. 2. Read and Write Data. 3. Manage Data. 4. Categorical Variables. 5. Continuous Variables. 6. Statistics. 7. Compare Two Samples. 8. Compare Multiple Samples. 9. Factorial Designs. 10. Correlation. 11. Regression Analysis. 12. Multiple Regression. 13. Categorical Regression Variables. 14. Causality. 15. Item and Factor Analysis. 16. References. 17. Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Analysis;data;programming;R;lessR;frame;hypothesis;plot;scatter;set;function;table;values;ANOVA;output;programming exercises;data visualizations;pivot tables;categorical variables;continuous variables;samples;correlation;regression;Mach Iv;factor/item analysis;Data Frame;Data Set;Mach Iv Scale;Slope Coefficient;Predictor Variable;Regression Model;Partial Slope Coefficient;Null Hypothesis;Categorical Variable;Scatter Plot;Prediction Intervals;Task Completion Time;Randomized Block Design;Missing Data;Scatterplot Matrix;Correlation Matrix;Employee Data Set;Trellis Plot;Treatment Variable;Row Names;Random Assignment;Fire Trucks;Inferential Analysis;Cross-tabulation Table
1. R for Data Analysis. 2. Read and Write Data. 3. Manage Data. 4. Categorical Variables. 5. Continuous Variables. 6. Statistics. 7. Compare Two Samples. 8. Compare Multiple Samples. 9. Factorial Designs. 10. Correlation. 11. Regression Analysis. 12. Multiple Regression. 13. Categorical Regression Variables. 14. Causality. 15. Item and Factor Analysis. 16. References. 17. Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Analysis;data;programming;R;lessR;frame;hypothesis;plot;scatter;set;function;table;values;ANOVA;output;programming exercises;data visualizations;pivot tables;categorical variables;continuous variables;samples;correlation;regression;Mach Iv;factor/item analysis;Data Frame;Data Set;Mach Iv Scale;Slope Coefficient;Predictor Variable;Regression Model;Partial Slope Coefficient;Null Hypothesis;Categorical Variable;Scatter Plot;Prediction Intervals;Task Completion Time;Randomized Block Design;Missing Data;Scatterplot Matrix;Correlation Matrix;Employee Data Set;Trellis Plot;Treatment Variable;Row Names;Random Assignment;Fire Trucks;Inferential Analysis;Cross-tabulation Table
