1 / 25

A radical view on plots in analysis

A radical view on plots in analysis. Hein Stigum Presentation, data and programs at: http://folk.uio.no/heins/. Agenda. Why use graphs Common use A graphic evolution Plots in analysis. Why use graphs?. Problem example. Lunch meals per week Table of means (around 5 per week)

karena
Download Presentation

A radical view on plots in analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. A radical view on plots in analysis Hein Stigum Presentation, data and programs at: http://folk.uio.no/heins/

  2. Agenda • Why use graphs • Common use • A graphic evolution • Plots in analysis H.S.

  3. Why use graphs?

  4. Problem example • Lunch meals per week • Table of means (around 5 per week) • Linear regression H.S.

  5. Problem example 2 • Iron level • Linear regression: Males 9.4 units higher iron level • Logistic regression: Males 10.4 times more anemia H.S.

  6. Problem example 3 • Weight on blood pressure Missing sex H.S.

  7. Common use

  8. Pie and bar H.S.

  9. Bar-Dot-Line evolution H.S.

  10. The workhorses:Scatter and density

  11. Scatterplot

  12. Density kdensity weight Boxplot graph hbox weight Density H.S.

  13. Density with “boxplot” information H.S.

  14. Scatter and density plots for many types of data x-normal use x-suggested use H.S.

  15. Plots in analysis

  16. Continuous outcome

  17. Continuous by 1 category Aug-14 H.S. 17

  18. Continuous by 2 categories • Is birth weight the same for boys and girls? Scatterplot Density plot Equal means? Linear effect? Outliers? Equal variances?

  19. Continuous by 3 categories • Is birth weight the same over parity? Scatterplot Density plot Equal means? Linear effect? Outliers? Equal variances? H.S.

  20. Continuous by continuous • Does birth weight depend on gestational age? Scatterplot Density plot Equal means? Linear effect? Outliers? H.S.

  21. Binary outcome

  22. Binary by 2 categories • Does the low birth weight depend on sex? Jitter and line

  23. Binary by 3 categories • Does the low birth weight depend on parity?

  24. Binary by 3 categories, no scatter • Does the low birth weight depend on parity?

  25. Scatter: binary by countinuous • Does the low birth weight depend on gest. age? H.S.

More Related