[ FreeCourseWeb.com ] Udemy - First steps in data analysis with R

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[ FreeCourseWeb.com ] Udemy - First steps in data analysis with R

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收录时间：2023-12-18
最近下载：2024-12-06

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文件列表

  • ~Get Your Files Here !/6. Comparing more than two groups an ANOVA scenario/1. Comparing more than two groups with lm().mp4 140.1 MB
  • ~Get Your Files Here !/11. Multiple regression/1. Scenarios and worked example.mp4 134.9 MB
  • ~Get Your Files Here !/8. Advanced data visualization with ggplot2/1. Introduction to ggplot2.mp4 104.2 MB
  • ~Get Your Files Here !/9. An ANCOVA scenario testing the effect of two predictors on a response variable/1. Concepts, scenarios, and worked example.mp4 101.8 MB
  • ~Get Your Files Here !/13. Fitting user-defined non-linear models/1. An example using function nls().mp4 96.2 MB
  • ~Get Your Files Here !/10. Testing the effect of two factorial predictors on a response variable/1. Concepts, scenarios, and worked example.mp4 83.3 MB
  • ~Get Your Files Here !/3. Comparing two groups with t.test()/2. t.test() - part 2.mp4 75.7 MB
  • ~Get Your Files Here !/4. Introducing function lm()/1. Introducing lm() - example comparing two groups.mp4 72.0 MB
  • ~Get Your Files Here !/15. Data wrangling/1. A panoramic of some data-wrangling tools.mp4 58.4 MB
  • ~Get Your Files Here !/12. Polynomial regression/1. Example 1.mp4 54.9 MB
  • ~Get Your Files Here !/7. Linear regression/1. Performing linear regression in R.mp4 50.2 MB
  • ~Get Your Files Here !/1. Introduction/6. Your second graph.mp4 42.5 MB
  • ~Get Your Files Here !/1. Introduction/2. Installing R.mp4 36.3 MB
  • ~Get Your Files Here !/5. Testing model assumptions with diagnostic plots/1. How to produce and interpret diagnostic plots.mp4 34.9 MB
  • ~Get Your Files Here !/12. Polynomial regression/2. Example 2.mp4 27.4 MB
  • ~Get Your Files Here !/1. Introduction/4. Your first R script.mp4 25.3 MB
  • ~Get Your Files Here !/2. Housework/3. Housework in RStudio.mp4 24.5 MB
  • ~Get Your Files Here !/2. Housework/2. Housework on a Windows machine.mp4 21.9 MB
  • ~Get Your Files Here !/14. Dealing with non-normality of residuals/1. An example with count data.mp4 21.3 MB
  • ~Get Your Files Here !/3. Comparing two groups with t.test()/1. t.test() - part 1.mp4 21.1 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 20.7 MB
  • ~Get Your Files Here !/2. Housework/1. Housework on a Mac.mp4 17.0 MB
  • ~Get Your Files Here !/1. Introduction/7. Saving figures on a Windows machine.mp4 16.2 MB
  • ~Get Your Files Here !/16. Final remarks/1. Final remarks.mp4 11.1 MB
  • ~Get Your Files Here !/1. Introduction/5. Your first graph.mp4 9.9 MB
  • ~Get Your Files Here !/7. Linear regression/2. Evaluating diagnostic plots for a linear regression.mp4 6.1 MB
  • ~Get Your Files Here !/2. Housework/4. Housework - final remarks.mp4 5.4 MB
  • ~Get Your Files Here !/1. Introduction/3. Writing code and creating object in the R console.mp4 4.9 MB
  • ~Get Your Files Here !/1. Introduction/1.2 anova1.pdf 464.8 kB
  • ~Get Your Files Here !/1. Introduction/1.6 poisson.pdf 248.4 kB
  • ~Get Your Files Here !/1. Introduction/1.5 non_linear.pdf 165.4 kB
  • ~Get Your Files Here !/1. Introduction/1.3 anova2.pdf 155.7 kB
  • ~Get Your Files Here !/1. Introduction/1.4 multi_reg.pdf 142.1 kB
  • ~Get Your Files Here !/1. Introduction/1.1 ancova.pdf 120.7 kB
  • ~Get Your Files Here !/1. Introduction/1.8 sim_heterosc.pdf 89.4 kB
  • ~Get Your Files Here !/1. Introduction/1.7 poly2.pdf 74.5 kB
  • ~Get Your Files Here !/16. Final remarks/1.1 Manuals and other resources.pdf 57.6 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/non_linear_datasets.xlsx 55.4 kB
  • ~Get Your Files Here !/12. Polynomial regression/1.2 non_linear_datasets.xlsx 55.4 kB
  • ~Get Your Files Here !/13. Fitting user-defined non-linear models/1.2 non_linear_datasets.xlsx 55.4 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/compare_6_species.txt 47.7 kB
  • ~Get Your Files Here !/6. Comparing more than two groups an ANOVA scenario/1.2 compare_6_species.txt 47.7 kB
  • ~Get Your Files Here !/8. Advanced data visualization with ggplot2/1.2 compare_6_species.txt 47.7 kB
  • ~Get Your Files Here !/14. Dealing with non-normality of residuals/1.3 GLM resources.pdf 44.5 kB
  • ~Get Your Files Here !/6. Comparing more than two groups an ANOVA scenario/1. Comparing more than two groups with lm().srt 17.8 kB
  • ~Get Your Files Here !/11. Multiple regression/1. Scenarios and worked example.srt 16.7 kB
  • ~Get Your Files Here !/9. An ANCOVA scenario testing the effect of two predictors on a response variable/1. Concepts, scenarios, and worked example.srt 15.6 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/anova_type2_data.csv 14.0 kB
  • ~Get Your Files Here !/10. Testing the effect of two factorial predictors on a response variable/1.2 anova_type2_data.csv 14.0 kB
  • ~Get Your Files Here !/8. Advanced data visualization with ggplot2/1. Introduction to ggplot2.srt 11.4 kB
  • ~Get Your Files Here !/10. Testing the effect of two factorial predictors on a response variable/1. Concepts, scenarios, and worked example.srt 10.3 kB
  • ~Get Your Files Here !/4. Introducing function lm()/1. Introducing lm() - example comparing two groups.srt 10.1 kB
  • ~Get Your Files Here !/13. Fitting user-defined non-linear models/1. An example using function nls().srt 9.7 kB
  • ~Get Your Files Here !/5. Testing model assumptions with diagnostic plots/1. How to produce and interpret diagnostic plots.srt 9.5 kB
  • ~Get Your Files Here !/3. Comparing two groups with t.test()/1. t.test() - part 1.srt 9.3 kB
  • ~Get Your Files Here !/3. Comparing two groups with t.test()/2. t.test() - part 2.srt 9.1 kB
  • ~Get Your Files Here !/15. Data wrangling/1. A panoramic of some data-wrangling tools.srt 8.6 kB
  • ~Get Your Files Here !/14. Dealing with non-normality of residuals/1. An example with count data.srt 8.4 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/DS_Store 8.2 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/diel_activity_data.csv 7.5 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/06 - testing the effects of factorial + continuous predictors.R 7.2 kB
  • ~Get Your Files Here !/9. An ANCOVA scenario testing the effect of two predictors on a response variable/1.1 06 - testing the effects of factorial + continuous predictors.R 7.2 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/multi_reg_data.csv 7.1 kB
  • ~Get Your Files Here !/11. Multiple regression/1.2 multi_reg_data.csv 7.1 kB
  • ~Get Your Files Here !/7. Linear regression/1. Performing linear regression in R.srt 7.0 kB
  • ~Get Your Files Here !/12. Polynomial regression/1. Example 1.srt 6.9 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/03 - compare more than two groups.R 6.6 kB
  • ~Get Your Files Here !/6. Comparing more than two groups an ANOVA scenario/1.1 03 - compare more than two groups.R 6.6 kB
  • ~Get Your Files Here !/1. Introduction/6. Your second graph.srt 6.5 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/Rapp.history 6.4 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/DS_Store 6.1 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/07 - testing the effect of two factorial predictors.R 5.8 kB
  • ~Get Your Files Here !/10. Testing the effect of two factorial predictors on a response variable/1.1 07 - testing the effect of two factorial predictors.R 5.8 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/02c - compare two groups with lm.R 5.6 kB
  • ~Get Your Files Here !/4. Introducing function lm()/1.1 02c - compare two groups with lm.R 5.6 kB
  • ~Get Your Files Here !/1. Introduction/2. Installing R.srt 5.5 kB
  • ~Get Your Files Here !/1. Introduction/4. Your first R script.srt 5.4 kB
  • ~Get Your Files Here !/16. Final remarks/1. Final remarks.srt 5.4 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/08 - testing the effect of two continuous predictors.R 5.1 kB
  • ~Get Your Files Here !/11. Multiple regression/1.1 08 - testing the effect of two continuous predictors.R 5.1 kB
  • ~Get Your Files Here !/7. Linear regression/2. Evaluating diagnostic plots for a linear regression.srt 4.4 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/10 - non-linear modelling.R 4.3 kB
  • ~Get Your Files Here !/13. Fitting user-defined non-linear models/1.1 10 - non-linear modelling.R 4.3 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/12 - data wrangling.R 4.0 kB
  • ~Get Your Files Here !/15. Data wrangling/1.1 12 - data wrangling.R 4.0 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/11 - glm Poisson.R 3.9 kB
  • ~Get Your Files Here !/14. Dealing with non-normality of residuals/1.1 11 - glm Poisson.R 3.9 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/02b - compare two groups with ttest on data from dataframe.R 3.9 kB
  • ~Get Your Files Here !/3. Comparing two groups with t.test()/2.1 02b - compare two groups with ttest on data from dataframe.R 3.9 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/ANCOVA_data.csv 3.8 kB
  • ~Get Your Files Here !/9. An ANCOVA scenario testing the effect of two predictors on a response variable/1.2 ANCOVA_data.csv 3.8 kB
  • ~Get Your Files Here !/2. Housework/3. Housework in RStudio.srt 3.4 kB
  • ~Get Your Files Here !/12. Polynomial regression/2. Example 2.srt 3.4 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/04 - linear regression.R 3.3 kB
  • ~Get Your Files Here !/7. Linear regression/1.1 04 - linear regression.R 3.3 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/05 - Intro to ggplot.R 3.3 kB
  • ~Get Your Files Here !/8. Advanced data visualization with ggplot2/1.1 05 - Intro to ggplot.R 3.3 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/compare_2_species.csv 3.0 kB
  • ~Get Your Files Here !/3. Comparing two groups with t.test()/2.2 compare_2_species.csv 3.0 kB
  • ~Get Your Files Here !/4. Introducing function lm()/1.2 compare_2_species.csv 3.0 kB
  • ~Get Your Files Here !/2. Housework/1. Housework on a Mac.srt 2.9 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/09 - polynomial regression.R 2.7 kB
  • ~Get Your Files Here !/12. Polynomial regression/1.1 09 - polynomial regression.R 2.7 kB
  • ~Get Your Files Here !/2. Housework/2. Housework on a Windows machine.srt 2.4 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/02a - compare two groups with ttest.R 2.3 kB
  • ~Get Your Files Here !/3. Comparing two groups with t.test()/1.1 02a - compare two groups with ttest.R 2.3 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/poly_data2.csv 2.3 kB
  • ~Get Your Files Here !/1. Introduction/7. Saving figures on a Windows machine.srt 2.2 kB
  • ~Get Your Files Here !/1. Introduction/5. Your first graph.srt 2.0 kB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.srt 1.9 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/count_data.csv 1.9 kB
  • ~Get Your Files Here !/14. Dealing with non-normality of residuals/1.2 count_data.csv 1.9 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/pairwise_tests.csv 1.5 kB
  • ~Get Your Files Here !/1. Introduction/4.1 01 - first steps.R 1.5 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/01 - first steps.R 1.5 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/poly_data1.csv 1.4 kB
  • ~Get Your Files Here !/2. Housework/4. Housework - final remarks.srt 1.2 kB
  • ~Get Your Files Here !/1. Introduction/3. Writing code and creating object in the R console.srt 1.1 kB
  • ~Get Your Files Here !/1. Introduction/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/regression_data.csv 709 Bytes
  • ~Get Your Files Here !/7. Linear regression/1.2 regression_data.csv 709 Bytes
  • ~Get Your Files Here !/8. Advanced data visualization with ggplot2/1.3 regression_data.csv 709 Bytes
  • ~Get Your Files Here !/2. Housework/2.1 housework windows.R 512 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 357 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_02a - compare two groups with ttest.R 333 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_02b - compare two groups with ttest on data from dataframe.R 333 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_02c - compare two groups with lm.R 333 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_05 - Intro to ggplot.R 333 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_08 - testing the effect of two continuous predictors.R 333 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_09 - polynomial regression.R 333 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_10 - non-linear modelling.R 333 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_11 - glm Poisson.R 333 Bytes
  • ~Get Your Files Here !/2. Housework/1.1 housework mac.R 216 Bytes
  • Get Bonus Downloads Here.url 183 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_01 - first steps.R 176 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_03 - compare more than two groups.R 176 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_04 - linear regression.R 176 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_06 - testing the effects of factorial + continuous predictors.R 176 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_07 - testing the effect of two factorial predictors.R 176 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_scripts ANNOTATED/_12 - data wrangling.R 176 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/_.DS_Store 120 Bytes
  • ~Get Your Files Here !/1. Introduction/__MACOSX/First steps in data analysis with R byMarco Plebani - all scripts and data/my_data/_.DS_Store 120 Bytes

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